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Background: Post-stroke neurocognitive disorder, though common, is often overlooked by clinicians. Moreover, although the Montreal Cognitive Assessment (MoCA) has proven to be a valid screening test for neurocognitive disorder, even more time saving tests would be preferred. In our study, we aimed to determine the diagnostic accuracy of the Clock Drawing Test (CDT) for post-stroke neurocognitive disorder and the association between the CDT and MoCA., Methods: This study is part of the Norwegian Cognitive Impairment After Stroke study, a multicentre prospective cohort study following patients admitted with acute stroke. At the three-month follow-up, patients were classified with normal cognition, mild neurocognitive disorder, or major neurocognitive disorder according to the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition criteria. Any neurocognitive disorder compromised both mild- and major neurocognitive disorder. The CDT at the three-month assessment was given scores ranging from 0 to 5. Patients able to complete the CDT and whose cognitive status could be classified were included in analyses. The CDT diagnostic accuracy for post-stroke neurocognitive disorder was identified using receiver operating characteristic curves, sensitivity, specificity, positive predictive value, and negative predictive value. The association between the MoCA and CDT was analysed with Spearman's rho., Results: Of 554 participants, 238 (43.0%) were women. Mean (SD) age was 71.5 (11.8) years, while mean (SD) National Institutes of Health Stroke Scale score was 2.6 (3.7). The area under the receiver operating characteristic curve of the CDT for major neurocognitive disorder and any neurocognitive disorder was 0.73 (95% CI, 0.68-0.79) and 0.68 (95% CI, 0.63-0.72), respectively. A CDT cutoff of < 5 yielded 68% sensitivity and 60% specificity for any neurocognitive disorder and 78% sensitivity and 53% specificity for major neurocognitive disorder. Spearman's correlation coefficient between scores on the MoCA and CDT was 0.50 (95% CI, 0.44-0.57, p < .001)., Conclusions: The CDT is not accurate enough to diagnose post-stroke neurocognitive disorder but shows acceptable accuracy in identifying major neurocognitive disorder. Performance on the CDT was associated with performance on MoCA; however, the CDT is inferior to MoCA in identifying post-stroke neurocognitive disorder., Trial Registration: ClinicalTrials.gov (NCT02650531). Retrospectively registered January 8, 2016., (© 2024. The Author(s).)

Background: Disease-modifying treatments for Alzheimer's disease highlight the need for early detection of cognitive decline. However, at present, most primary care providers do not perform routine cognitive testing, in part due to a lack of access to practical cognitive assessments, as well as time and resources to administer and interpret the tests. Brief and sensitive digital cognitive assessments, such as the Digital Clock and Recall (DCR™), have the potential to address this need. Here, we examine the advantages of DCR over the Mini-Mental State Examination (MMSE) in detecting mild cognitive impairment (MCI) and mild dementia., Methods: We studied 706 participants from the multisite Bio-Hermes study (age mean ± SD = 71.5 ± 6.7; 58.9% female; years of education mean ± SD = 15.4 ± 2.7; primary language English), classified as cognitively unimpaired (CU; n = 360), mild cognitive impairment (MCI; n = 234), or probable mild Alzheimer's dementia (pAD; n = 111) based on a review of medical history with selected cognitive and imaging tests. We evaluated cognitive classifications (MCI and early dementia) based on the DCR and the MMSE against cohorts based on the results of the Rey Auditory Verbal Learning Test (RAVLT), the Trail Making Test-Part B (TMT-B), and the Functional Activities Questionnaire (FAQ). We also compared the influence of demographic variables such as race (White vs. Non-White), ethnicity (Hispanic vs. Non-Hispanic), and level of education (≥ 15 years vs. < 15 years) on the DCR and MMSE scores., Results: The DCR was superior on average to the MMSE in classifying mild cognitive impairment and early dementia, AUC = 0.70 for the DCR vs. 0.63 for the MMSE. DCR administration was also significantly faster (completed in less than 3 min regardless of cognitive status and age). Among 104 individuals who were labeled as "cognitively unimpaired" by the MMSE (score ≥ 28) but actually had verbal memory impairment as confirmed by the RAVLT, the DCR identified 84 (80.7%) as impaired. Moreover, the DCR score was significantly less biased by ethnicity than the MMSE, with no significant difference in the DCR score between Hispanic and non-Hispanic individuals., Conclusions: DCR outperforms the MMSE in detecting and classifying cognitive impairment-in a fraction of the time-while being not influenced by a patient's ethnicity. The results support the utility of DCR as a sensitive and efficient cognitive assessment in primary care settings., Trial Registration: ClinicalTrials.gov identifier NCT04733989., (© 2023. The Author(s).)

Objectives : The clock drawing test (CDT) is a widely used cognitive screening test. However, CDT performance is affected by education. This study examined an alternative, the Papadum test, designed for people with low levels of education/literacy. The association between education and test performance, correlation between CDT and Papadum test, and diagnostic accuracy of both CDT and Papadum tests were examined. Method : 89 healthy literate adults and 59 literate adults (all Bengali speaking) with a diagnosis of mild-moderate dementia from hospitals in Kolkata, India undertook the CDT and the Papadum test. Results : Education had a significant association with the CDT but not with the Papadum test. Across the whole sample there was a significant correlation between CDT and Papadum, but not within separate groups of healthy controls and patients. Diagnostic accuracy for the Papadum test was similar to that for CDT. Conclusions : Results highlight the strong influence that education has on CDT performance indicating that it is not suitable for those with low levels of literacy. The Papadum test could provide a viable alternative as a screening tool to the CDT for use with people who are illiterate or have low levels of education. Further validation studies are required.

Background: Hippocampal calcification (HC), highly prevalent in older people, has not attracted attention until recently. Despite its potential effects on cognition and behaviour, and its possible impact on the diagnosis and severity of dementia, it has not been investigated. This study aimed to evaluate the prevalence of HC and its influence on cognition and behavioural symptoms in patients with dementia., Methods: Data from consecutive patients who visited a medical centre for dementia, for the first time between April 2016 and September 2018, were extracted and analysed. These data included the patients' demographics, the presence of HC and hippocampal thickness as measured on computed tomography, the diagnosis of dementia and its type, cognitive function measured using the Mini-Mental State Examination and the Clock Drawing Test, and the chief complaints or symptoms prompting the visit., Results: A high incidence of HC (85/267 patients) was observed. There was no significant difference in the ages of patients with and without HC. Patients with HC had higher cognitive function than those without HC at their first visit. This result was contrary to our expectations as it was not explained by the chief complaints recorded at the first visit., Conclusions: Our study showed a high prevalence of HC in older patients with dementia. Patients with HC had better cognitive function than did those without HC during their first hospital visit. This study suggests that HC may not affect the cognitive functions related to dementia. However, further research is needed to evaluate the long-term consequences of dementia with HC., (© 2022 Japanese Psychogeriatric Society.)

Introduction and Objectives: The Mini-Cog is a very brief, widely used cognitive test that includes a memory task and a simplified assessment of the Clock Drawing Test (CDT). There is not a formal evaluation of the Mini-Cog test in Spanish. This study aims to analyse the diagnostic usefulness of the Mini-Cog and CDT for detecting cognitive impairment (CI)., Methods: We performed a cross-sectional study, systematically including all patients who consulted at our neurology clinic over a 6-month period. We assessed diagnostic usefulness for detecting CI (defined according to the National Institute on Aging-Alzheimer's Association criteria for mild cognitive impairment and dementia) according to the area under the receiver operating characteristic curve (AUC). Sensitivity, specificity, and positive and negative likelihood ratios were calculated for each cut-off point., Results: The study included 581 individuals (315 with CI); 55.1% were women and 27.7% had not completed primary studies. The Mini-Cog showed greater diagnostic usefulness than the CDT (AUC ± sensitivity: 0.88 ± 0.01 vs 0.84 ± 0.01; P < .01). Both instruments were less useful for screening in individuals with a low education level (0.74 ± 0.05 vs 0.75 ± 0.05, respectively). A cut-off point of 2/3 in the Mini-Cog achieved a sensitivity of 0.90 (95% CI, 0.87-0.93) and a specificity of 0.71 (95% CI, 0.65-0.76); a cut-off point of 5/6 in the CDT achieved a sensitivity of 0.77 (95% CI, 0.72-0.81) and a specificity of 0.80 (95% CI, 0.75-0.85)., Conclusion: In our neurology clinic, the Mini-Cog showed acceptable diagnostic usefulness for detecting CI, greater than that of the CDT; neither test is an appropriate instrument for individuals with a low level of education., (Copyright © 2019 Sociedad Española de Neurología. Published by Elsevier España, S.L.U. All rights reserved.)

Introduction: The present study aims to be the first to validate the Tuokko version of the Clock Drawing Test (CDT) and estimate its cutoff score after its translation into the Greek language and administration in the Greek population., Methods: One hundred and thirty-two individuals participated in this study [60 with Good Cognitive Health (GCH), 24 with Parkinson's Disease (PD), 24 with Parkinson's Disease Dementia (PDD) and 24 with Alzheimer's Disease (AD)]. The CDT was administered to all participants. Additionally, the cognitive and mental status of the sample were estimated through the use of the Mini Mental State Examination (MMSE), Abbreviated Mental Test Score (AMTS), Arizona Battery for Communication Disorders of Dementia (ABCD), Instrumental Activities of Daily Living (IADL), the Neuropsychiatric Inventory (H-NPI) and the Geriatric Depression Scale -15 (GDS-15)., Results: Statistically significant differences were found between all groups on the CDT, with AD patients having lower scores than all subgroups in the study. The CDT showed a high internal consistency (Cronbach's alpha = 0.832). The ROC analysis provided a cutoff point equal to 4.00 (AUC: 0.821, p < 0.001) between the Cognitively Unimpaired Group (CUG: GCH and PD group) and the Cognitively Impaired Group (CIG: PPD and AD patients), 5.00 (AUC: 0.845, p < 0.001) between the GCH group and the PDD group, and 4.00 (AUC: 0.780, p < 0.001) between the GCH group and the AD group. Finally, the cutoff point between the PD group and the PDD group was 4.00 (AUC: 0.896, p < 0.005), and 3.00 (AUC: 0.899, p < 0.001) between the PD group and the AD group. Significant positive Pearson's correlations were observed between CDT and MMSE ( r = 0.808, p < 0.001), CDT and AMTS ( r = 0.688, p < 0.001), CDT and ABCD ( r = 0.770, p < 0.001), CDT and the ABCD Visuospatial Construction subdomain ( r = 0.880, p < 0.001); while a negative correlation was found between CDT and IADL ( r = -0.627, p < 0.001) between the CUG and the CIG groups., Conclusion: Given the results obtained, the CDT appears to be a clinically valid screening instrument for the assessment of visuospatial abilities, with high reliability in Greek populations with cognitive impairment.

Aim: The aim of this study was to evaluate the accuracy of the clock drawing test and to compare its scoring methods., Background: Dementia refers to a symptom where an adult demonstrates memory disorder and cognitive impairment. Early diagnosis of dementia is very important for medication management and prognosis. The clock drawing test is one of the most used cognitive screening tools for dementia. However, due to its scoring system, the accuracy of the clock drawing test remains a topic of debate., Design: A systematic review with meta-analysis following Cochrane's methods and the guidelines of the Agency for Healthcare Research and Quality., Data Sources: A literature search was carried out in the OVID-MEDLINE, OVID-EMBASE and OVID-PsycINFO databases (27 October 2015)., Review Method: The quality assessment of diagnostic accuracy studies (QUADAS-2) tool was employed for this review. We used hierarchical regression models to pool the values of diagnostic accuracy in a random effects model., Results: A total of 18 studies with 5,531 participants were identified for this review. Fifteen of these studies were included for meta-analysis according to each scoring system. The pooled sensitivity and specificity of the clock drawing test using the Shulman system were 82% and 75.7% respectively. In the Sunderland system, these were 72.6% and 87.9% respectively., Conclusions: The findings indicate that the accuracy of the clock drawing test using the Shulman system was the most studied and highly sensitive. After gaining a better understanding of the clock drawing test through this study, we recommend it for widespread use in the diagnosis of dementia., (© 2018 John Wiley & Sons Ltd.)

Objective: The primary aim of the study was to determine accuracy, sensitivity and specificity of the Clock Drawing Test (CDT) in detecting probable dementia as compared to the multi-domain dementia screening test DemTect., Methods: The sample was derived from the general practitioner (GP)-based, cluster-randomized controlled intervention trial DelpHi-MV (Dementia: life- and person-centered help in Mecklenburg-Western Pomerania). Selected from 6.440 patients systematically screened for dementia in primary care, we examined three groups (a,b,c) where the CDT (as index test) as well as the DemTect (as reference standard) were available. After excluding cases with missing values, we included a sample of n=462 with "probable dementia", n=586 with "mild cognitive impairment" and n=553 with "no cognitive impairment" matched for age and gender. We analyzed the accuracy of the CDT in identifying people with probable dementia by the DemTect and report sensitivity, and specificity for the CDT. We further analyzed age and gender differences associated with the groups., Results: In comparison to the DemTect the CDT identified more than twice as many of the screened patients as cognitively impaired (63.1% in the CDT vs. 28.9% in the DemTect). The sensitivity and specificity for the CDT were 84.4% and 45.6% respectively. We found considerable age and gender differences for the performance of the CDT. Higher age (p < 0.001) and female sex (p < 0.001) were associated with incorrect clock drawings., Conclusion: The CDT shows a considerably high rate of false positive screening outcomes compared to the DemTect and disadvantages older people and women. Thus, in contrary to previous findings our results indicate that the CDT should not be used as exclusive instrument to screen for probable dementia in primary care., (Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.org.)

Objective: The Clock Drawing Test (CDT) is widely used as a screening tool for discriminating cognitively normal individuals from patients with mild dementia. The aim of present study was to provide normative values for a 10-point quantitative scoring system proposed by Rouleau and colleagues (1992), including CDT total score and subscales score assessing representation of clock face (RC), layout of numbers (LN), and position of hands (PH), in a large sample of Italian healthy individuals., Method: Eight hundred and seventy-two Italian healthy participants (483 women; age range 20-94 years) with educational level from primary school to university underwent CDT and Mini Mental State Examination (MMSE)., Results: Multiple linear regression analysis revealed that age and education significantly influenced CDT total score and its subscale scores. Moreover, a significant effect of gender was found only in RC subscale. From the derived linear equation, a correction grid for raw scores was built. Inferential cut-off values were estimated using a non-parametric technique and equivalent scores (ES) were computed. Correlation analysis showed a weakly significant correlation between adjusted CDT total score and adjusted MMSE scores., Conclusions: The present study provided normative data for the Rouleau and colleagues version of CDT in an Italian sample, useful for clinical and research purposes.

Identification of individuals who will eventually develop dementia is critical for early intervention, treatment, and care planning. The clock drawing test (CDT) is a widely used cognitive screening tool that has been well accepted among clinicians and patients for its ease of use and short administration time. This review explores the value of the CDT for predicting the later development of dementia in cognitively intact older adults and patients with mild cognitive impairment (MCI). Additionally, we reviewed studies that examined the ability of the CDT to monitor declines in cognitive functioning over time. A PubMed literature search for articles that included a longitudinal analysis of the CDT was conducted. The search included articles published up to June 2013 and manual cross-referencing of bibliographies. Relevant studies were categorized, summarized, and critiqued. The consensus from the studies reviewed suggests that the CDT is a useful measure of cognitive decline over time. Conceptual clock drawing errors (eg, misrepresentation of time) detected this decline most effectively. In addition, the CDT appears to differentiate at baseline between cognitively intact older adults who will develop dementia up to 2 years postbaseline. Finally, the CDT has been found to differentiate between patients with MCI who will progress to dementia up to 6 years postbaseline. The CDT appears useful for the longitudinal assessment of cognitive impairment and together with other validated measures may be helpful for predicting conversion to dementia. Cost-effective and practical ways of predicting risk of dementia will become increasingly critical as we develop disease-modifying treatments., (© The Author(s) 2014.)

Objective: The purpose of this study is to examine the association of the clock drawing test (CDT) with incident dementia, cardiovascular events and mortality in very elderly hypertensive patients., Method: All participants were hypertensive and aged 80 years and over. The CDT was administered at baseline and annually thereafter. Data on incident cardiovascular, fatal events and dementia were collected over follow-up., Results: There were 3845 participants recruited and followed up for a mean of 2.1 years. Of these, 2701 completed a CDT with 2259 available at baseline. Of this group, 6.6% had a cardiovascular event, 6.1% died, and 10% were diagnosed with dementia. There was no relationship between baseline CDT score and subsequent cardiovascular events or mortality. For incident dementia, the hazard ratio was 0.88 (95% confidence intervals 0.83-0.94) suggesting that better performance on the baseline CDT was associated with a lower risk of dementia., Conclusion: These results provide tentative support for the CDT alongside other cognitive screening tools in a hypertensive elderly population., (Copyright © 2014 John Wiley & Sons, Ltd.)

Objective: The clock drawing test (CDT) is a widely used cognitive screening tool that has been well accepted among clinicians and patients for its ease of use and short administration time. Although there is ample interest in the CDT as a screening instrument, there remains a range of CDT administration and scoring systems with no consensus on which system produces the most valid results while remaining user friendly. The aims of this review are to synthesize the available evidence on CDT scoring systems' effectiveness and to recommend which system is best suited for use at the clinical frontlines., Design: A Pubmed literature search was carried out from 2000 to 2013 including manual cross-referencing of bibliographies in order to capture studies published after Shulman's comprehensive review published in 2000. A brief summary of all original scoring systems is included, as well as a review of relevant comparative studies., Results: The consensus from multiple comparison studies suggests that increasing the complexity of CDT scoring systems does little to enhance the test's ability to identify significant cognitive impairment. Moreover, increased complexity in scoring adds to the administration time, thereby reducing the test's utility in clinical settings., Conclusions: In comparing scoring systems, no system emerged as consistently superior in terms of predictive validity. The authors conclude that when scoring the CDT as a screening instrument in a primary/general medicine/community setting, simpler is better, and perhaps qualitative assessment of "normal" versus "abnormal" may be sufficient for screening purposes and the establishment of a baseline for follow-up., (Copyright © 2013 John Wiley & Sons, Ltd.)

Background: The Clock Drawing Test (CDT) is a widely-used, rapid assessment tool for the screening of cognitive decline though its evaluation and interpretation are still not uniform. The aim of present study was to investigate the difference in sensitivity and specificity of two types of CDTs and to compare the clinical benefits of quantitative and semiquantitative scoring systems., Objective: To investigate the difference in sensitivity and specificity of two types of CDTs and to compare the clinical benefits of quantitative and semiquantitative scoring systems., Methods: Six hundred and ninety-two participants with or without dementia completed 10-item CDTs in nursing homes in two counties in southern Hungary. The dementia was not further subclassified. The results of the two tests, CDT1 (representing five minutes to a quarter to four) and CDT2 (representing ten past five), were evaluated quantitatively and semiquantitatively., Results: In the quantitative evaluation, the sensitivity and the specificity for the diagnosis of dementia at cut-off scores of 7 points were determined: 87.1% and 51.9%, respectively, for CDT1, and 81.7% and 57% for CDT2, respectively. The semiquantitative analysis revealed a sensitivity of 67.3% and a specificity of 65.3% for CDT1, and of 64.6% and 66.6% for CDT2, respectively., Conclusion: The results of CDT tests do not appear to depend on the positions of the clock hands and additionally suggest that the quantitative evaluation method is more sensitive than the semiquantitative method.

Despite the wide use of clock drawing tests (CDTs) for screening cognitive impairment, their use in patients having Parkinson disease (PD) with dementia has not been systematically investigated until date. In this cross-sectional study, neurological and neuropsychiatric statuses of 1449 outpatients having PD with and without dementia were comprehensively assessed. The CDT revealed cognitive impairment in 42.7% of the 1383 patients whose drawings were available. Overall, CDT sensitivity and specificity were 70.7% and 68.9%, respectively. The positive and negative predictive values were 48.0% and 85.3%, respectively. In patients with depression, CDT specificity dropped significantly to 55.8% (71.3% in nondepressed patients, P < .001). Classification performance was not impacted by motor symptoms. The estimated classification performances and predictive values correspond to those reported previously for non-PD populations. Our results indicate that CDT is a suitable screening instrument in patients with PD, but test results from patients with depression warrant careful consideration.

Background: The Clock Drawing Test (CDT) is used to screen for Alzheimer's disease and other dementia disorders. Normative scores on the version from the Montreal Cognitive Assessment (MoCA) do not exist in the Nordic countries. Objective: To examine the normative scores of the CDT among adults aged 70 years and older. Methods: We included 4,023 cognitively healthy persons aged 70–97 years from a population survey in Norway. They were examined with the CDT, which has a total score between zero and three. A multiple multinominal regression model was applied with a CDT score as the dependent categorical variable and estimated the probabilities of scoring a particular score, stratified by age, sex, and education. These probabilities correspond to an expected proportion of the normative population scoring at, or below a given percentile. Results: None scored zero, 2.1% scored one, 14.9% scored two, and 83% scored three. Higher age, female sex and fewer years of schooling were associated with poorer performance. Scores of zero and one deviated from the normative score regardless of age, sex and education. A score of two was within the norm for a female older than 81 and a male older than 85. Conclusions: The majority (83%) of people 70 years and older had a score of three on the CDT. Lower age, male sex, and higher education were associated with a better performance. Scores of zero and one were below the normative score. Except for the very old, a score of two was also well below the normative score. [ABSTRACT FROM AUTHOR]

The common requirement to set the time to "10 past 11" on the Clock Drawing Test is intended to elicit a stimulus bound response (SBR), in which the responder is "pulled" to the salient stimulus "10," resulting in hands set at "10 before 11." SBRs are considered markers of executive dysfunction, although this assumption has not yet been validated. We compared SBR and other time-setting errors on inhibitory control tests, hypothesizing that they represent related constructs. The role of semantic dysfunction in the formation of those errors was also investigated. We examined baseline test performance of participants with Mild Cognitive Impairment or a history of depression, and control participants, enrolled in a dementia prevention study. Among 258 participants, we identified clocks with SBRs (n = 16), other time errors (n = 22), or no errors at all (n = 42). Performance between the groups with SBRs and other time-setting errors did not differ on any of the executive tests, and both error groups performed significantly worse than the No Error group on the semantic tests. Control for covariates further supported semantic and executive components in time-setting errors. Both semantic and inhibitory control deficits may underlie time representation errors in general. [ABSTRACT FROM AUTHOR]

Objectives: Cognitive impairment is a prevalent non-motor symptom of Parkinson's disease (PD), significantly impacting patient quality of life. The Clock Drawing Test (CDT) evaluates cognitive abilities, including planning, organization, and executive functions such as attention, memory, and visuospatial skills. This study aimed to determine the sensitivity of the CDT in diagnosing cognitive impairment in PD. Methods: We reviewed the records of 44 PD patients (16 female, 28 male) diagnosed with dementia (30 patients) or mild cognitive impairment (14 patients) between 2018 and 2022. These patients were compared to 106 visitors to the neurological outpatient clinic, serving as a control group. A separate researcher assessed the patients' CDT scores, maintaining confidentiality of all other patient data except age and education level. Results: Among the 44 PD patients, two with mild cognitive impairment were rated as normal, while all PD dementia cases were identified solely through the CDT. In the healthy control group, 72 out of 106 individuals reported no cognitive complaints, whereas 34 individuals (32.1%) reported cognitive complaints as assessed by a blind investigator. The CDT demonstrated a positive predictive value of 55.3% and a negative predictive value of 97.3%. Sensitivity was calculated at 95.5%, and specificity was 67.9%. Conclusion: The findings suggest that the CDT is sensitive in detecting cognitive impairment in PD patients with cognitive deficits. While the CDT serves as an effective rapid screening tool, high scores indicate the absence of cognitive impairment, but low scores alone are insufficient for a definitive diagnosis of dementia. Comprehensive neurological evaluation and detailed cognitive assessment remain essential for confirming dementia diagnoses. [ABSTRACT FROM AUTHOR]

Abstract Background Disease-modifying treatments for Alzheimer’s disease highlight the need for early detection of cognitive decline. However, at present, most primary care providers do not perform routine cognitive testing, in part due to a lack of access to practical cognitive assessments, as well as time and resources to administer and interpret the tests. Brief and sensitive digital cognitive assessments, such as the Digital Clock and Recall (DCR™), have the potential to address this need. Here, we examine the advantages of DCR over the Mini-Mental State Examination (MMSE) in detecting mild cognitive impairment (MCI) and mild dementia. Methods We studied 706 participants from the multisite Bio-Hermes study (age mean ± SD = 71.5 ± 6.7; 58.9% female; years of education mean ± SD = 15.4 ± 2.7; primary language English), classified as cognitively unimpaired (CU; n = 360), mild cognitive impairment (MCI; n = 234), or probable mild Alzheimer’s dementia (pAD; n = 111) based on a review of medical history with selected cognitive and imaging tests. We evaluated cognitive classifications (MCI and early dementia) based on the DCR and the MMSE against cohorts based on the results of the Rey Auditory Verbal Learning Test (RAVLT), the Trail Making Test-Part B (TMT-B), and the Functional Activities Questionnaire (FAQ). We also compared the influence of demographic variables such as race (White vs. Non-White), ethnicity (Hispanic vs. Non-Hispanic), and level of education (≥ 15 years vs.

Objective: We investigated the diagnostic accuracy of the Clock Drawing Test (CDT) in discriminating Mild Cognitive Impairment (MCI) and dementia from normal cognition. Additionally, its clinical utility in predicting the transition from normal cognition to MCI and dementia over the course of several years was explored. Method: In total, 1037 older adults (633 women) who completed the CDT in a baseline assessment were drawn from the population-based HELIAD cohort. Among these, 848 participants were identified as cognitively normal, 142 as having MCI and 47 with dementia during the baseline assessment. Of these individuals, 565 attended the follow-up assessment (mean interval: 3.21 years). ROC curve and binary logistic regression analyses were performed. Results: The CDT exhibited good diagnostic accuracy for the discrimination between dementia and normal cognition (AUC =.879, SN =.813, SP =.778, LR+ = 3.66, LR- =.240, <.001, d = 1.655) and acceptable diagnostic accuracy for the discrimination between dementia and MCI (AUC=.761, SN=.750, SP=.689, LR+ = 2.41, LR- =.362, p <.001, d = 1.003). We found limited diagnostic accuracy, however, for the discrimination between MCI and normal cognition (AUC =.686, SN =.764, SP =.502, LR+ = 1.53, LR- =.470, p <.001, d =.685). Moreover, the CDT significantly predicted the transition from normal cognition to dementia [Exp(B)= 1.257, p =.022], as well as the transition from MCI to normal cognition [Exp(B) = 1.334, p =.023] during the longitudinal investigation. Conclusions: The CDT is a neuropsychological test with acceptable diagnostic accuracy for the discrimination of dementia from MCI and normal cognition. Furthermore, it has an important predictive value for the transition from normal cognition to dementia and from MCI to normal cognition. [ABSTRACT FROM AUTHOR]

Background: The clock drawing test (CDT) and the Mini Mental State Examination (MMSE) are frequently used screening instruments for cognitive impairment, however, the precise contribution of the CDT to the MMSE is largely unknown. Methods: We studied patients with subjective cognitive impairment (SCI, n = 481), mild cognitive impairment (MCI, n = 628) and Alzheimer's disease (AD, n = 1099). Discrimination between patients was examined with multiple logistic regression, adjusted for age, sex, and education. Four groups were constructed based on a normal/abnormal MMSE (cut‐off <24/30) versus normal/abnormal CDT (cut‐off ≤2/3). Visually rated medial temporal lobe atrophy (MTA) on CT was used as parameter of neurodegeneration. Results: The CDT significantly contributed to the MMSE in discriminating SCI from both MCI and AD patients. Our four group analyses showed that of those patients with a normal MMSE and incorrectly classified as SCI, an abnormal CDT could significantly identify 10.0% as MCI and 13.2% as AD. Among those with an abnormal MMSE, the percentage AD patients shifted from 53.1% to 82.1% due to an abnormal CDT. Presence of an abnormal CDT was significantly related to MTA increase, regardless of the MMSE score. Conclusion: The CDT is an important additional screening tool to the MMSE. An abnormal CDT with a normal MMSE is an indicator for cognitive impairment. An abnormal CDT in combination with an abnormal MMSE can be considered as an indicator of disease progression. Key points: The clock drawing test (CDT) is widely used as a screening tool for cognitive impairment, often in combination with the Mini Mental State Examination (MMSE), however, very few studies focus on the specific contribution of the CDT when the MMSE is known.To our knowledge, our study is the first to examine the additional value of the CDT to the MMSE in a large elderly memory clinic population to differentiate patients with mild cognitive impairment (MCI) and Alzheimer's disease (AD) from those with subjective cognitive impairment (SCI). We focus on the clinical use of both tests using predefined cut‐off scores.When patients have an MMSE of 24 or higher, and are thus classified as having no cognitive impairment by the MMSE, the CDT can significantly identify close to 25% as having either MCI or AD. When the MMSE is below 24, the combination with an abnormal CDT yielded a percentage of 82% AD.When the MMSE is known, an abnormal CDT can give additional information on progression along the SCI‐MCI‐AD trajectory. We therefore recommend the CDT as a highly relevant, quick and easy to administrate screening tool. [ABSTRACT FROM AUTHOR]

This article aims to at analyze and point out the importance of the use of the Clock Drawing Test for cognitive screening in special education and rehabilitation with reference to early identification and adequate intervention for children and adults at risk, as well as to prevent the occurrence and intensification of disabilities. Through the simplicity of the test administration and scoring, as well as the great value of qualitative data based on the observation of participants’ behavior while performing the given task this test has gained popularity in research and clinical practice. On the other hand, in order to perform the given task, it is necessary to activate complex cognitive functions such asvisuospatial/visuoconstructive skills and executive functioning. Given the difficulties in performing, the Clock Drawing Test may be indicative of a potential cognitive inefficiencies in the specifieddomains and/or executive dysfunctions, such as those related to the temporoparietal and frontal lobe structures. In this regard, the present article aims to present and discuss the utility of the Clock Drawing Test in children of different ages and types of developmental challenges (attention deficit hyperactivity disorder, learning disabilities) as well as in adults with multiple sclerosis, traumatic brain injury and dementia.

Developing tools for efficiently measuring cognitive change specifically and brain health generally—whether for clinical use or as endpoints in clinical trials—is a major challenge, particularly for conditions such as Alzheimer's disease. Technology such as connected devices and advances in artificial intelligence offer the possibility of creating and deploying clinical-grade tools with high sensitivity, rapidly, cheaply, and non-intrusively. Starting from a widely-used paper and pencil cognitive status test—The Clock Drawing Test—we combined a digital input device to capture time-stamped drawing coordinates with a machine learning analysis of drawing behavior to create DCTclock™, an automated analysis of nuances in cognitive performance beyond successful task completion. Development and validation was conducted on a dataset of 1,833 presumed cognitively unimpaired and clinically diagnosed cognitively impaired individuals with varied neurological conditions. We benchmarked DCTclock against existing clock scoring systems and the Mini-Mental Status Examination, a widely-used but lengthier cognitive test, and showed that DCTclock offered a significant improvement in the detection of early cognitive impairment and the ability to characterize individuals along the Alzheimer's disease trajectory. This offers an example of a robust framework for creating digital biomarkers that can be used clinically and in research for assessing neurological function.

Background: Relative to the abundance of publications on dementia and clock drawing, there is limited literature operationalizing 'normal' clock production.Objective: To operationalize subtle behavioral patterns seen in normal digital clock drawing to command and copy conditions.Methods: From two research cohorts of cognitively-well participants age 55 plus who completed digital clock drawing to command and copy conditions (n = 430), we examined variables operationalizing clock face construction, digit placement, clock hand construction, and a variety of time-based, latency measures. Data are stratified by age, education, handedness, and number anchoring.Results: Normative data are provided in supplementary tables. Typical errors reported in clock research with dementia were largely absent. Adults age 55 plus produce symmetric clock faces with one stroke, with minimal overshoot and digit misplacement, and hands with expected hour hand to minute hand ratio. Data suggest digitally acquired graphomotor and latency differences based on handedness, age, education, and anchoring.Conclusion: Data provide useful benchmarks from which to assess digital clock drawing performance in Alzheimer's disease and related dementias. [ABSTRACT FROM AUTHOR]

Figure drawing tasks are commonly used standalone or as part of broader screening tests to detect cognitive impairment. Only one study has compared the classification accuracy of three common drawing tasks—overlapping infinity loops, wire cube, and the clock drawing task (CDT)—in mild cognitive impairment (MCI) and dementia, but age and education, which impact performance, were not accounted for. We replicated the research, adjusting for age and education and, for the first time, assessed subjective cognitive decline (SCD) too. Participants were recruited from the Tasmanian ISLAND Cognitive Clinic and healthy controls from a community sample. All participants completed the three figure drawing tasks. The clinic patients were categorised according to interdisciplinary consensus diagnosis. Binomial logistic regression and area under ROC curves (AUC) were calculated to determine the discriminatory ability of each drawing task. Overall, 112 adults were recruited; 51 had normal cognition (NC), 21 SCD, 24 MCI, and 16 had dementia. The infinity loops test did not discriminate any of the groups, casting some doubt on its usefulness. The wire cube discriminated NC from dementia (AUC 0.7; p < 0.05). The CDT discriminated NC from dementia (AUC 0.77; p < 0.01), NC from cognitive impairment (dementia + MCI; AUC 0.59; p < 0.05), and MCI from dementia (AUC 0.76; p < 0.01). None of the tests discriminated NC from MCI or NC from SCD. The CDT was the most discriminatory test, followed by the wire cube. This may help guide clinicians who often choose just one figure drawing task due to time constraints or patient fatigue.

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Aims: To determine whether the pentagon copying test (PCT) and the clock drawing test (CDT) are associated with nursing home admission or survival in dementia with Lewy bodies (DLB). Methods: The PCT and/or the CDT were retrospectively collected from 103 clinically diagnosed probable DLB patients at a university medical center and general hospital. Patients with high versus low scores on these tests were compared. Results: Kaplan-Meier analysis showed that patients with a low score on the PCT had a shorter time to nursing home admission than patients with a high score (log-rank χ2 = 6.1, p = 0.01). Patients with a low score on the PCT or the CDT had a shorter survival than patients with a high score (log-rank χ2 = 5.4, p = 0.02, and log-rank χ2 = 11.2, p < 0.001, respectively). Cox regression analyses showed the same associations with an HR of 2.2 (95% CI 1.2–4.1) for the PCT and an HR of 2.9 (95% CI 1.6–5.4) for the CDT. Conclusion: The PCT and the CDT may function as prognostic markers in DLB. This finding is clinically relevant as these tests can be applied easily in the clinical setting and can provide valuable prognostic information. Furthermore, it may improve disease management and patient selection for research purposes. [ABSTRACT FROM AUTHOR]

Objectives: Patients with Alzheimer’s disease (AD) demonstrate deficits in cross-cortical feature binding distinct from age-related changes in selective attention. This may have consequences for driving performance given its demands on multisensory integration. We examined the relationship of visuospatial search and binding to driving in patients with early AD and elderly controls (EC). Methods: Participants (42 AD; 37 EC) completed search tasks requiring either luminance-motion (L-M) or color-motion (C-M) binding, analogs of within and across visual processing stream binding, respectively. Standardized road test (RIRT) and naturalistic driving data (CDAS) were collected alongside clinical screening measures. Results: Patients performed worse than controls on most cognitive and driving indices. Visual search and clinical measures were differentially related to driving behavior across groups. L-M search and Trail Making Test (TMT-B) were associated with RIRT performance in controls, while C-M binding, TMT-B errors, and Clock Drawing correlated with CDAS performance in patients. After controlling for demographic and clinical predictors, L-M reaction time significantly predicted RIRT performance in controls. In patients, C-M binding made significant contributions to CDAS above and beyond demographic and clinical predictors. RIRT and C-M binding measures accounted for 51% of variance in CDAS performance in patients. Conclusions: Whereas selective attention is associated with driving behavior in EC, cross-cortical binding appears most sensitive to driving in AD. This latter relationship may emerge only in naturalistic settings, which better reflect patients’ driving behavior. Visual integration may offer distinct insights into driving behavior, and thus has important implications for assessing driving competency in early AD. (JINS, 2018, 24, 486–497) [ABSTRACT FROM AUTHOR]

The Clock Drawing Test (CDT) has a known potential for the detection of cognitive impairment in populations with dementia, especially Alzheimer disease (AD). Our aim was to compare the clinical utility of 3 CDT scoring systems (Rouleau, Cahn, and Babins) in several pathologies with cognitive compromise from a tertiary center memory clinic. We selected patients with a clinical diagnosis of mild stage AD, behavioral variant frontotemporal dementia (FTD), vascular dementia (VaD), dementia with Lewy bodies (DLB), and Parkinson disease with dementia (PDD). The results showed significant differences between the several diagnoses with the following pattern of results: AD, DLB < FTD, VaD, PDD. Qualitative analysis of clock drawing errors confirmed the stimulus-bound response as a hallmark of AD, while conceptual deficit was significantly more prevalent in patients with AD and DLB. Our results supported the CDT potential as a cognitive screening measure for mild dementia, particularly sensitive to AD and DLB, especially when we used the Cahn scoring system and its analysis of qualitative errors. [ABSTRACT FROM AUTHOR]

Objective: The clock drawing test (CDT) has become one of the most widely used cognitive screening instruments in clinical and research settings. Its effectiveness, acceptability, and quick and easy administration have made it a staple for cognitive screening in dementia and a wide range of brain disorders. Despite a spike in popularity since the 1990s, its origins are relatively unknown. The goal of this review is to chronicle its saga and chart its usage over time.Methods: PsycInfo, Medline, and PubMed literature searches were performed from earliest record to June 2016, in addition to manual cross-referencing of bibliographies, with a focus before 1990. Summary of relevant articles and books up until 1989 is included, as well as clinical applications and surveys that track CDT usage over time.Results: While MacDonald Critchley's well-known textbook from 1953, The Parietal Lobes, is often cited as the first mention of the CDT, its recorded use actually stretches back more than a century to 1915. A review of the literature shows that the CDT began as a test for aphasia-related disorders and constructional apraxia until its entry into contemporary cognitive screening in the 1980s when it primarily became a cognitive screen. Its usage took off in 1989 with over 2000 publications since.Conclusions: Despite a fairly obscure existence for decades, the CDT has emerged as an effective and ideal cognitive screening instrument for a wide range of conditions. Its use continues to increase, and it has been incorporated into several widely used cognitive screening batteries. Copyright © 2017 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]

There is a growing incidence of dementia patients in the community, and with this growth, there is need for rapid, valid, and easily administrable tests for the screening of dementia and mild cognitive impairment in the community. This review looks at the two most commonly used tests in dementia screening, namely, the clock drawing test (CDT) and the mini-mental status examination (MMSE). Both these tests have been used in dementia screening over the past three decades and have been the subject of scrutiny of various studies, reviews, and meta-analysis. Both these tests are analyzed on their ability to assess dementia and screen for it in the community, general practice and general hospital settings. The methods of administration and scoring of each test are discussed, and their advantages and disadvantages are explained. There is also a direct comparison made between the MMSE and CDT in dementia screening. Future research needs with these tests are also elucidated. [ABSTRACT FROM AUTHOR]

A clock drawing test (CDT) is a neurological test used for the assessment of cognitive impairment based on sketches of a clock completed by a patient. Usually, a medical expert assesses the sketches to discover any deficiencies in the cognitive processes of the patient. More recently, automatic tools for assessing such tests have been developed. However, the problem of automatic interpretation of clock drawings, especially those sketched by people with cognitive impairment, is not fully solved, and in more difficult cases, the automatic systems have to revert to the help of human assessors in labelling the sketched objects forming the clock drawing. Moreover, the labelling of the sketched objects could be more reliable if prior knowledge of the expected CDT sketch structure and human reasoning could be integrated into the drawing interpretation system. This paper proposes a novel CDT sketch interpretation system, which represents the prior knowledge of the CDT structure by using ontology and integrating human reasoning through a fuzzy inference engine. The combination of the above technologies fuses multiple sources of information concerning the sketch structure and the visual appearance of the sketched objects whilst dealing with the interpretation uncertainty inherent to CDT sketches. The proposed CDT interpretation system is evaluated using two CDT data sets. The first data set consists of 65 drawings made by healthy people, while the second set contains 100 drawings reproduced from the drawings of dementia patients to simulate the kind of challenging sketches the system may have to work with. The evaluation analysis shows an improved interpretation performance of the proposed system in comparison with the classical approach, which does not receive benefits from the prior knowledge of the CDT sketch structure or simulated human reasoning. [ABSTRACT FROM AUTHOR]

The clock drawing test (CDT) is a standard neurological test for detection of cognitive impairment. A computerised version of the test promises to improve the accessibility of the test in addition to obtaining more detailed data about the subject's performance. Automatic handwriting recognition is one of the first stages in the analysis of the computerised test, which produces a set of recognized digits and symbols together with their positions on the clock face. Subsequently, these are used in the test scoring. This is a challenging problem because the average CDT taker has a high likelihood of cognitive impairment, and writing is one of the first functional activities to be affected. Current handwritten digit recognition system perform less well on this kind of data due to its unintelligibility. In this paper, a new system for numeral handwriting recognition in the CDT is proposed. The system is based on two complementary sources of data, namely static and dynamic features extracted from handwritten data. The main novelty of this paper is the new handwriting digit recognition system, which combines two classifiers—fuzzy k -nearest neighbour for dynamic stroke-based features and convolutional neural network for static image- based features, which can take advantage of both static and dynamic data. The proposed digit recognition system is tested on two sets of data: first, Pendigits online handwriting digits; and second, digits from the actual CDTs. The latter data set came from 65 drawings made by healthy people and 100 drawings reproduced from the drawings by dementia patients. The test on both data sets shows that the proposed combination system can outperform each classifier individually in terms of recognition accuracy, especially when assessing the handwriting of people with dementia. [ABSTRACT FROM AUTHOR]

Background: Alzheimer's disease dementia (ADD) has become an important health problem in the world. Visuospatial deficits are considered to be an early symptom besides memory disorder.Objectives: The gesture imitation test was devised to detect ADD and amnestic mild cognitive impairment (aMCI).Methods: A total of 117 patients with ADD, 118 with aMCI, and 95 normal controls were included in this study. All participants were administered our gesture imitation test, the Mini-Mental State Examination (MMSE), the Montreal Cognitive Assessment (MoCA), the Clock Drawing Test (CDT), and the Clinical Dementia Rating Scale (CDR).Results: Patients with ADD performed worse than normal controls on global scores and had a lower success rate on every item (p < 0.001). The area under the curve (AUC) for the global scores when comparing the ADD and control groups was 0.869 (p < 0.001). Item 4 was a better discriminator with a sensitivity of 84.62% and a specificity of 67.37%. The AUC for the global scores decreased to 0.621 when applied to the aMCI and control groups (p = 0.002). After controlling for age and education, the gesture imitation test scores were positively correlated with the MMSE (r = 0.637, p < 0.001), the MoCA (r = 0.572, p < 0.001), and the CDT (r = 0.514, p < 0.001) and were negatively correlated with the CDR scores (r = -0.558, p < 0.001).Conclusions: The gesture imitation test is an easy, rapid tool for detecting ADD, and is suitable for the patients suspected of mild ADD and aMCI in outpatient clinics. [ABSTRACT FROM AUTHOR]

many studies sustained that the clock drawing test (CDT) was not able to accurately detect people with CDR = 0.5. Other researchers have promoted the use of scoring approaches with multiple scales that rate quantitative and qualitative features of the production. Nevertheless, these scoring systems are complex and time-consuming. We propose a new brief CDT' scoring system in order to find a good measure for mild cognitive decline which is at the same time easy to administer. we enrolled 719 subjects: n. 181 with mild Alzheimer's disease (AD); n. 200 with amnesic mild cognitive impairment (MCI) and n. 338 healthy elderly subjects (C). our CDT-three-cluster scoring system demonstrated a good sensitivity and an excellent specificity to discriminate MCI subjects from normal elderly (76 and 84 %, respectively) and an excellent sensitivity and specificity to discriminate patients affected by mild Alzheimer disease (CDR: 1) from normal elderly (91 and 90 %, respectively). We found that CDT' score = 1.30 discriminate people with MCI, whereas a score = 4.38 discriminate AD patients. The three-cluster-scoring-system demonstrated a good diagnostic accuracy, taking into account those error-items more predictive of cognitive decline: omission of numbers or hands, writing numbers or hands in a wrong position and writing numbers or hands in a different code. Our CDT' scoring system is very short and easy method which can be used also by non-specialist. [ABSTRACT FROM AUTHOR]