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Background: In the past few years there has been a growing interest in the employment of verbal productions as digital biomarkers, namely objective, quantifiable behavioural data that can be collected and measured by means of digital devices, allowing for a low‐cost pathology detection, classification and monitoring. Numerous research papers have been published on the automatic detection of subtle verbal alteration, starting from written texts, raw speech recordings and transcripts, and such linguistic analysis has been singled out as a cost‐effective method for diagnosing dementia and other medical conditions common among elderly patients (e.g., cognitive dysfunctions associated with metabolic disorders, dysarthria). Aims: To provide a critical appraisal and synthesis of evidence concerning the application of natural language processing (NLP) techniques for clinical purposes in the geriatric population. In particular, we discuss the state of the art on studying language in healthy and pathological ageing, focusing on the latest research efforts to build non‐intrusive language‐based tools for the early identification of cognitive frailty due to dementia. We also discuss some challenges and open problems raised by this approach. Methods & Procedures: We performed a scoping review to examine emerging evidence about this novel domain. Potentially relevant studies published up to November 2021 were identified from the databases of MEDLINE, Cochrane and Web of Science. We also browsed the proceedings of leading international conferences (e.g., ACL, COLING, Interspeech, LREC) from 2017 to 2021, and checked the reference lists of relevant studies and reviews. Main Contribution: The paper provides an introductory, but complete, overview of the application of NLP techniques for studying language disruption due to dementia. We also suggest that this technique can be fruitfully applied to other medical conditions (e.g., cognitive dysfunctions associated with dysarthria, cerebrovascular disease and mood disorders). Conclusions & Implications: Despite several critical points need to be addressed by the scientific community, a growing body of empirical evidence shows that NLP techniques can represent a promising tool for studying language changes in pathological aging, with a high potential to lead a significant shift in clinical practice. WHAT THIS PAPER ADDS: What is already known on this subject: Speech and languages abilities change due to non‐pathological neurocognitive ageing and neurodegenerative processes. These subtle verbal modifications can be measured through NLP techniques and used as biomarkers for screening/diagnostic purposes in the geriatric population (i.e., digital linguistic biomarkers—DLBs). What this paper adds to existing knowledge: The review shows that DLBs can represent a promising clinical tool, with a high potential to spark a major shift to dementia assessment in the elderly. Some challenges and open problems are also discussed. What are the potential or actual clinical implications of this work?: This methodological review represents a starting point for clinicians approaching the DLB research field for studying language in healthy and pathological ageing. It summarizes the state of the art and future research directions of this novel approach. [ABSTRACT FROM AUTHOR]

Objectives: To determine the frequency of use of the core outcome domains published by the Initiative on Methods, Measurement, and Pain Assessment in Clinical Trials (IMMPACT) in burning mouth syndrome (BMS) randomized controlled trials (RCTs). Methods: This systematic review, conducted as part of the World Workshop on Oral Medicine VII (WWOM VII), was performed by searching the literature for studies published in PubMed, Web of Science, PsycINFO, Cochrane Database/Cochrane Central, and Google Scholar from January 1994 (when the first BMS definition came out) through October 2017. Results: A total of 36 RCTs (n = 2,175 study participants) were included and analyzed. The overall reporting of the IMMPACT core and supplemental outcome domains was low even after the publication of the IMMPACT consensus papers in 2003 and 2005 (mean before IMMPACT consensus publication = 2.6 out of 6; mean after IMMPACT publication = 3.8 out of 6). Use of validated assessment tools recommended by the IMMPACT consensus was scarce (1.9 out of 6). None of the RCTs reviewed cited the IMMPACT consensus papers. Conclusions: The underreporting of IMMPACT outcome domains in BMS RCTs is significant. Raising awareness regarding the existence of standardized outcome domains in chronic pain research is essential to ensure more accurate, comparable, and consistent interpretation of RCT findings that can be clinically translatable. [ABSTRACT FROM AUTHOR]

Objective: The World Workshop on Oral Medicine VII chose the oral microbiome as a focus area. Part 1 presents the methodological state of the science for oral microbiome studies. Part 2 was guided by the question: What is currently known about the microbiome associated with oral squamous cell carcinoma and potentially malignant disorders of the oral mucosa? Materials and Methods: A scoping review methodology was followed to identify and analyse relevant studies on the composition and potential functions of the oral microbiota using high‐throughput sequencing techniques. The authors performed searches in PubMed and EMBASE. After removal of duplicates, a total of 239 potentially studies were identified. Results: Twenty‐three studies on oral squamous cell carcinoma, two on oral leukoplakia and four on oral lichen planus were included with substantial differences in diagnostic criteria, sample type, region sequenced and sequencing method utilised. The majority of studies focused on bacterial identification and recorded statistically significant differences in the oral microbiota associated with health and disease. However, even when comparing studies of similar methodology, the microbial differences between health and disease varied considerably. No consensus on the composition of the microbiomes associated with these conditions on genus and species level could be obtained. Six studies on oral squamous cell carcinoma had included in silico predicted microbial functions (genes and/or pathways) and found some similarities between the studies. Conclusions: Attempts to reveal the microbiome associated with oral mucosal diseases are still in its infancy, and the studies demonstrate significant clinical and methodological heterogeneity across disease categories. The immense richness and diversity of the microbiota clearly illustrate that there is a need for additional methodologically comparable studies utilising deep sequencing approaches in significant cohorts of subjects together with functional analyses. Our hope is that following the recipe as outlined in our preceding companion paper, that is Part 1, will enhance achieving this in the future and elucidate the role of the oral microbiome in oral squamous cell carcinoma and potentially malignant disorders of the oral mucosa. [ABSTRACT FROM AUTHOR]

The 6th ITI Consensus Conference was held in Amsterdam on 17–19 April 2018. In preparation for the conference, 21 systematic reviews were written. They were divided into five main topics in dental implantology—surgery, prosthodontics, patient‐reported outcomes, complications/risk and digital technologies. Based on these review papers, the working groups prepared consensus statements, clinical guidelines and recommendations for future research. [ABSTRACT FROM AUTHOR]