Literature DB >> 26241449

Oral mucosal precancer and cancer: A helpful discriminating clinical tool.

Crispian Scully1, James J Sciubba, Jose V Bagan.   

Abstract

The authors have collaborated with many colleagues in several countries in formulating a useful and practical clinical tool for evaluating oral mucosal findings on routine examination. Consideration of several factors including history, evolution of positive findings and clinical information allows placement of examination results into one of three categories which are graded by a color scheme along a spectrum of concerns (green to red, or no concern to serious concern). Afforded to the clinician is a straightforward grading system as a starting point for office end clinic use for all patients.

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Year:  2015        PMID: 26241449      PMCID: PMC4598928          DOI: 10.4317/medoral.20155

Source DB:  PubMed          Journal:  Med Oral Patol Oral Cir Bucal        ISSN: 1698-4447


The use of information technology in the area of clinical decision making is an increasing paradigm in the practice of medicine and dentistry. The technologies at hand within clinical decision support systems (CDSSs) have the potential to reduce clinical errors by incorporating systems for data analysis with that analysis used to measure and prevent adverse clinical outcomes, ultimately resulting in improved overall quality and efficiency in the delivery of care (1,2). Evidence-based medicine (EBM) - the practice of medicine based on the best available scientific evidence - can also improve clinical outcomes. The use of CDSSs to facilitate EBM therefore promises a substantial improvement in healthcare quality (3). EBM is based upon the scientific literature as the prime source of evidence, but should often be complemented by local, practice-based evidence for individual and site-specific clinical decision-making. However, lower levels of evidence and other sources such as Internet-based information should not be ignored (4). As stated recently in another context, “evidence-based recommendations are not a substitute for clinical judgment, and decisions about care must carefully consider and incorporate the clinical characteristics and circumstances of each individual patient” (5). Early diagnosis remains the essential aim of the primary care clinician as the single-most important contribution to help avoid the need for major and possibly radical treatment and thus improving chances of cure and retention of function and quality of life. We have therefore produced an “expert system” regarding evaluation of potentially malignant oral mucosal disease based upon considerable clinical experience on two continents, with advice from senior experienced colleagues. This was done in an effort to assist primary care clinicians in decision-making in relation to the identification and management of patients with possible oral cancer, based, in part on the previously published “RULE” for oral cancer diagnosis (lesions that are Red or white; Ulcerated; Lump; Extending >3 weeks) (6). This tool is based on the grading of general clinical observations along the green to red spectrum by the examining dental professional that should allow a degree of confidence within an office or clinic setting for identification of signs and habits related to oral cancer causation and evolution ( Table 1).
Table 1

Oral mucosal lesions symptoms and signs.

The straightforward tool or scheme we have developed, addresses essential considerations in measurement, recognition and prevention of oral cancer development and progression and the role played by the dental professional in recognition and appreciation of the historic and clinical factors in an all too common disease. Deviations from recognized clinical norms therefore, with either referral or direct action on the part of clinicians, thus can provide the best chance for reducing the frequency of errors and corresponding improvement of treatment outcomes. Finally, this approach could serve as a working template for all initial and future oral examinations, even in the absence of prior clinical indicators of mucosal abnormalities.
  6 in total

Review 1.  The Internet and evidence-based decision-making: a needed synergy for efficient knowledge management in health care.

Authors:  A R Jadad; R B Haynes; D Hunt; G P Browman
Journal:  CMAJ       Date:  2000-02-08       Impact factor: 8.262

2.  Clinical decision support systems come of age.

Authors:  J M Teich; M M Wrinn
Journal:  MD Comput       Date:  2000 Jan-Feb

3.  Clinical decision support systems for the practice of evidence-based medicine.

Authors:  I Sim; P Gorman; R A Greenes; R B Haynes; B Kaplan; H Lehmann; P C Tang
Journal:  J Am Med Inform Assoc       Date:  2001 Nov-Dec       Impact factor: 4.497

4.  Rule for cancer diagnosis.

Authors:  C Scully
Journal:  Br Dent J       Date:  2013-09       Impact factor: 1.626

5.  Reducing the frequency of errors in medicine using information technology.

Authors:  D W Bates; M Cohen; L L Leape; J M Overhage; M M Shabot; T Sheridan
Journal:  J Am Med Inform Assoc       Date:  2001 Jul-Aug       Impact factor: 4.497

6.  2014 evidence-based guideline for the management of high blood pressure in adults: report from the panel members appointed to the Eighth Joint National Committee (JNC 8).

Authors:  Paul A James; Suzanne Oparil; Barry L Carter; William C Cushman; Cheryl Dennison-Himmelfarb; Joel Handler; Daniel T Lackland; Michael L LeFevre; Thomas D MacKenzie; Olugbenga Ogedegbe; Sidney C Smith; Laura P Svetkey; Sandra J Taler; Raymond R Townsend; Jackson T Wright; Andrew S Narva; Eduardo Ortiz
Journal:  JAMA       Date:  2014-02-05       Impact factor: 56.272

  6 in total

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