SynthesisMedicina oral, patologia oral y cirugia bucal2016
Non-invasive visual tools for diagnosis of oral cancer and dysplasia: A systematic review.
Synthesis in Medicina oral, patologia oral y cirugia bucal, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 3 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
21 citing papers in PubMed, 3 syntheses or guidelines pooled it, 47 citations in OpenAlex.
- CD44-SNA1 integrated cytopathology for delineation of high grade dysplastic and neoplastic oral lesions.PloS one · 2023Pooled it
- Pooled it
- Salivary Cytokines as Biomarkers for Oral Squamous Cell Carcinoma: A Systematic Review.International journal of molecular sciences · 2021Pooled it
- Structural pharmacogenomics of drug-associated SNPs in oral squamous cell carcinoma.Frontiers in genetics · 2026Article
- Diagnostic Performance of Autofluorescence for Oral Lesions: A Comparison Between a Postgraduate and an Expert Clinician.Dentistry journal · 2025Article
- Role of optical imaging in oral cancer and oral potentially malignant disorders: implications for oral submucous fibrosis.Frontiers in oral health · 2025Review
- Adjunctive aids for the detection of oral squamous cell carcinoma and oral potentially malignant disorders: A systematic review of systematic reviews.The Japanese dental science review · 2024Review
- The Diagnostic Potential of Non-Invasive Tools for Oral Cancer and Precancer: A Systematic Review.Diagnostics (Basel, Switzerland) · 2024Review
- Prevalence and risk factors of oral potentially malignant disorders in Indonesia: a cross-sectional study undertaken in 5 provinces.Scientific reports · 2024Article
- Oral microbiota and oral squamous cell carcinoma: a review of their relation and carcinogenic mechanisms.Frontiers in oncology · 2024Review
- Influence of Nanocurcumin and Photodynamic Therapy Using Nanocurcumin in Treatment of Rat Tongue Oral Squamous Cell Carcinoma Through Histological Examination and Gene Expression of BCL2 and Caspase-3.Reports of biochemistry & molecular biology · 2023Article
- A Comprehensive Study on Signal Transduction and Therapeutic Role of miR-877 in Human Cancers.Advanced biomedical research · 2023Review
- Field validation of deep learning based Point-of-Care device for early detection of oral malignant and potentially malignant disorders.Scientific reports · 2022Article
- The Prominent Role of miR-942 in Carcinogenesis of Tumors.Advanced biomedical research · 2022Review
- The salivary metatranscriptome as an accurate diagnostic indicator of oral cancer.NPJ genomic medicine · 2021Article
- Non-invasive intravital observation of lingual surface features using sliding oral mucoscopy techniques in clinically healthy subjects.Odontology · 2020Article
- Concentric Ring Probe for Bioimpedance Spectroscopic Measurements: Design and Ex Vivo Feasibility Testing on Pork Oral Tissues.Sensors (Basel, Switzerland) · 2018Article
- Nanotechnology: a promising method for oral cancer detection and diagnosis.Journal of nanobiotechnology · 2018Review
- In-vivo optical imaging in head and neck oncology: basic principles, clinical applications and future directions.International journal of oral science · 2018Review
- Comparative efficacy of chemiluminescence and toluidine blue in the detection of potentially malignant and malignant disorders of the oral cavity.Journal of oral and maxillofacial pathology : JOMFPArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundGold standard for the diagnosis of oral dysplasia (OD) and oral squamous cell carcinoma (OSCC) and malignant lesions is the histological examination. Several adjunctive diagnostic techniques have been proposed in order to increase the sensitivity (SE) and specificity (SP) of conventional oral examination and to improve the diagnostic first level accuracy. The aim of this study is to perform a systematic review on non-invasive tools for diagnosis of OD and early OSCC. MATERIAL AND
methodsMedline, Scopus, Web of Knowledge databases were searched, using as entry terms "oral dysplasia AND diagnosis" / "oral cancer AND diagnosis". Data extracted from each study included number of lesions evaluated, histopathological diagnosis, SE, SP, positive and negative predictive values (PPV and NPV), diagnostic accuracy (DA) and the main conclusions.
resultsAfter title and abstract scanning of 11.080 records, we selected 35 articles for full text evaluation. Most evaluated tools were autofluorescence (AF), chemiluminescence (CL), toluidine blu (TL) and chemiluminescence associated with toluidine blue (CLTB).
conclusionsThere is a great inhomogeneity of the reported values and there is no significant evidence of superiority of one tool over the other. Further clinical trials with a higher level of evidence are necessary in order to assess the real usefulness visual diagnostic tools.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.