Search

Background: Mortality is linked to diagnostic intervals in certain cancers. As symptom perception is conditioned by tumor site, a specific study on oral cancer is needed., Methods: This study's inclusion criteria were original data, symptomatic primary oral squamous cell carcinoma, and exposure of interest, diagnostic interval, or diagnostic delay. The outcome of interest was survival and disease stage. A meta-analysis was undertaken to investigate the relationship between intervals to diagnosis, TNM classification, and survival in oral cancer., Results: Regarding referral delay, the results present no heterogeneity and showed a risk increase in mortality of 2.48 (range = 1.39-4.42). The larger the diagnostic delay, the more advanced the stage at diagnosis. High quality studies reveal a higher risk increase than low quality studies (odds ratio [OR] = 2.44; 95% confidence interval [CI] = 1.36-4.36 vs OR = 1.53; 95% CI = 1.26-1.86)., Conclusion: A longer time interval from first symptom to referral for diagnosis is a risk factor for advanced stage and mortality of oral cancer. © 2015 Wiley Periodicals, Inc. Head Neck 38: E2182-E2189, 2016., (© 2015 Wiley Periodicals, Inc.)

Aims: To identify factors related to advanced-stage diagnosis of oral cancer to disclose high-risk groups and facilitate early detection strategies., Study Design: An ambispective cohort study on 88 consecutive patients treated from January 1998 to December 2003., Inclusion Criteria: pathological diagnosis of OSCC (primary tumour) at any oral site and suffering from a tumour at any TNM stage. Variables considered: age, gender, smoking history, alcohol usage, tumour site, macroscopic pattern of the lesion, co-existing precancerous lesion, degree of differentiation, diagnostic delay and TNM stage., Results: A total of 88 patients (mean age 60±11.3; 65.9% males) entered the study. Most patients (54.5%) suffered no delayed diagnosis and 45.5% of the carcinomas were diagnosed at early stages (I-II). The most frequent clinical lesions were ulcers (70.5%). Most cases were well- and moderately-differentiated (91%). Univariate analyses revealed strong associations between advanced stages and moderate-poor differentiation (OR=4.2; 95%CI=1.6-10.9) or tumour site (floor of the mouth (OR=3.6; 95%CI=1.2-11.1); gingivae (OR=8.8; 95%CI=2.0-38.2); and retromolar trigone (OR=8.8; 95%CI=1.5-49.1)). Regression analysis recognised the site of the tumour and the degree of differentiation as significantly associated to high risk of late-stage diagnosis., Conclusions: Screening programmes designed to detect asymptomatic oral cancers should be prioritized. Educational interventions on the population and on the professionals should include a sound knowledge of the disease presentation, specifically on sites like floor of the mouth, gingivae and retromolar trigone. More studies are needed in order to analyse the part of tumour biology on the extension of the disease at the time of diagnosis.

Background: Tumor stage may relate to the chronology of neoplasm growth and has been used as an outcome variable when studying diagnostic delay in oral cancer. However, tumor growth rate may act as a confounding factor., Methods: We reviewed a total of 63 incident cases of oral cancer. The variables considered for the study included age, sex, smoking history, tumor site, TNM stage, Ki-67 score, and diagnostic delay., Results: Significant differences between survivors and exitus were found in terms of tumor stage at diagnosis (I-II vs III-IV), sex, and Ki-67 scores. When the analysis was adjusted for tumor stage at diagnosis (I-II vs III-IV), proliferative activity resulted to be an independent prognostic factor for survival, whereas diagnostic delay did not influence survival., Conclusion: These results seem to suggest that survival from oral cancer is affected more by the biology of the cancer (rapid tumor growth) than by diagnostic delay., (© 2010 Wiley Periodicals, Inc.)

Diagnostic delay in oropharyngeal cancer may be associated with poor prognosis. As controversy exists on this topic because of contradictory results, the aim of this study was to perform a systematic review of the relationship between total diagnostic delay and advanced disease stages. A systematic search of MEDLINE, EMBASE, and ISI proceedings was made to identify observational studies that provided relative risks (RRs) and 95% confidence intervals (CIs) for patients with confirmed pathological diagnosis. The outcome of interest was disease stage (TNM classification), while the exposure of interest was the total diagnostic delay. The study-specific adjusted log RRs for cohort studies were weighted by the inverse of their variance to compute a pooled RR and its 95% CI. The fixed-effects pooled RR of advanced stages of oropharyngeal cancer when diagnostic delay is present was 1.32 (95% CI: 1.07-1.62). This association was stronger when the analysis was restricted to oral cancer (pooled RR: 1.47; 95% CI: 1.09-1.99) and when delay was longer than 1 month (pooled RR: 1.69; 95% CI: 1.26-2.77). The probability for patients with delayed diagnosis to present an advanced-stage tumour at diagnosis was significantly higher than that of patients with no delay in diagnosis. However, new prospective studies with strict methodology are needed to shed more light on this association.

Simple Summary: Information about the relative length of patient stays, primary care, and prereferral intervals (from symptom onset to specialist referral) is very scarce, and how the presenting symptoms influence these intervals and referral routes remains unknown. This study assesses the impact of presenting symptoms on time intervals, number of visits at the primary care level, and referral pattern of patients with symptomatic oral cancer. This approach will allow targets to be identified for future interventions and the optimization of the treatment pathway for symptomatic oral cancer patients. This investigation was aimed at determining the time intervals from the presenting symptoms until the beginning of oral cancer treatment and their relative contribution to the total time, and to assess the impact of the presenting symptom on diagnostic timelines and patient referral routes. A cross-sectional, ambispective study was designed to investigate symptomatic incident cases. The Aarhus statement was used as a conceptual framework. Strategies for minimizing potential recall biases were implemented. A sample of 181 patients was recruited (power: 99.5%; α = 0.05). The patient interval reached 58.2 days (95% CI, 40.3–76.2), which accounted for 74% of the whole prereferral interval and for more than one third of the total time interval. The presenting symptom (trigger for consultation) influenced both the number of primary care consultations and the length of time to diagnosis. General dental practitioners generated longer intervals to diagnosis (p < 0.005) and needed more consultations before referring a patient (RR = 0.76; 95% CI, 0.61–0.93), than general medical practitioners. The current study identifies the patient as the main target for interventions to improve awareness and reinforces the need for increased alertness amongst healthcare professionals about presenting symptoms of oral cancer and to diminish the number of prereferral consultations in order to optimize the primary care interval. [ABSTRACT FROM AUTHOR]

Objectives: To assess the impact on survival of the total time interval since the first bodily change (sign/symptom) until the start of treatment in symptomatic oral cancer patients.Methods: Retrospective, hospital-based study designed within the "Aarhus Statement" conceptual framework, using the overall interval to treatment of 183 oral cancer patients to analyse their survival rates.Results: Overall time interval (T5): 107.1 ± 85.2 days. Overall survival rate: 58.4 (CI: 51.3-66.4%). Recurrence time (median): 724 days (IQR, 223-2963.5). Median survival time: 1744 days (IQR, 479.5-3438). Overall delay (T5) and mortality showed a U-shaped association, where patients with short (24.0-55.5 days) and long T5 intervals (127.5-420 days) had higher mortality than those with medium T5 intervals (55.5-127.5 days).Conclusion: There is a non-monotonic association between time interval and mortality. Higher mortality rates are linked to shorter and longer time intervals. This may induce underestimation of the association when time intervals are considered dichotomously. [ABSTRACT FROM AUTHOR]