ReviewInternational journal of oral science2013
Diagnostic aids for detection of oral precancerous conditions.
Review in International journal of oral science, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers, 6 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
71 citing papers in PubMed, 6 syntheses or guidelines pooled it.
- Non-invasive detection and monitoring of oral squamous cell carcinoma and oral potentially malignant disorders: an umbrella review on diagnostic accuracy.Clinical oral investigations · 2026Pooled it
- CD44-SNA1 integrated cytopathology for delineation of high grade dysplastic and neoplastic oral lesions.PloS one · 2023Pooled it
- Update on the types and usage of liquid biopsies in the clinical setting: a systematic review.BMC cancer · 2018Pooled it
- Salivary biomarkers for oral cancer and pre-cancer screening: a review.Clinical oral investigations · 2018Pooled it
- Accuracy of autofluorescence in diagnosing oral squamous cell carcinoma and oral potentially malignant disorders: a comparative study with aero-digestive lesions.Scientific reports · 2016Pooled it
- Techniques for early diagnosis of oral squamous cell carcinoma: Systematic review.Medicina oral, patologia oral y cirugia bucal · 2015Pooled it
- Metabolite Profiling of Preneoplastic and Neoplastic Lesions of Oral Cavity Tissue Samples Revealed a Biomarker Pattern.Scientific reports · 2016Trial
- The Feasibility of One-Stage Instance Segmentation for Detecting Oral Potentially Malignant Disorders in White-Light Clinical Photographs: A Proof-of-Concept Study.Dentistry journal · 2026Article
- The Non-Invasive Diagnostic Modality for the Detection of Oral Squamous Cell Carcinoma by an Infrared Sensor.Cancer reports (Hoboken, N.J.) · 2026Article
- Accuracy of ChatGPT 3.5, 4.0, 4o and Gemini in diagnosing oral potentially malignant lesions based on clinical case reports and image recognition.Medicina oral, patologia oral y cirugia bucal · 2025Article
- Association of serum and salivary dipeptidyl peptidase-4 (DPP-4) with oral cancerous and precancerous lesions; an observational diagnostic accuracy study.BMC oral health · 2024Observational
- Article
- WNT3 promotes chemoresistance to 5-Fluorouracil in oral squamous cell carcinoma via activating the canonical β-catenin pathway.BMC cancer · 2024Article
- Assessment of Potentially Malignant Disorders among Men and Women in South Bihar Population.Journal of pharmacy & bioallied sciences · 2024Article
- Comparative study of conventional exfoliative cytology and centrifuged liquid-based cytology in oral leukoplakia and oral squamous cell carcinoma patients.Dental research journal · 2024Article
- Detection of Abnormal Changes on the Dorsal Tongue Surface Using Deep Learning.Medicina (Kaunas, Lithuania) · 2023Article
- Prevalence of Oral Mucosal Lesions among Tobacco Consumers: Cross-Sectional Study.Journal of pharmacy & bioallied sciences · 2023Article
- FAM13A polymorphisms are associated with a specific susceptibility to clinical progression of oral cancer in alcohol drinkers.BMC cancer · 2023Article
- A Current Review of Machine Learning and Deep Learning Models in Oral Cancer Diagnosis: Recent Technologies, Open Challenges, and Future Research Directions.Diagnostics (Basel, Switzerland) · 2023Review
- Deep-Learning-Based Automated Identification and Visualization of Oral Cancer in Optical Coherence Tomography Images.Biomedicines · 2023Article
11 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Oral cancer has a tendency to be detected at late stage which is detrimental to the patients because of its high mortality and morbidity rates. Early detection of oral cancer is therefore important to reduce the burden of this devastating disease. In this review article, the most common oral precancerous lesions are discussed and the importance of early diagnosis is emphasized. In addition, the most common non-invasive oral cancer devices that can aid the general practitioners in early diagnosis are also discussed.
Indexed as
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What OpenQuestion holds
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.