Evidence map›Paper›PMID 34359370›Full record

ReviewDiagnostics (Basel, Switzerland)2021

Current Insights into Oral Cancer Diagnostics.

Yee-Fun Su, Yi-Ju Chen, Fa-Tzu Tsai, Wan-Chun Li, Ming-Lun Hsu, Ding-Han Wang, Cheng-Chieh Yang

Open access · goldAbstract readReview
In one paragraph

Review in Diagnostics (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 3 pooled it
7.7field-weighted citation impact, top 2% of its field
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

33 citing papers in PubMed, 3 syntheses or guidelines pooled it, 72 citations in OpenAlex.

  1. Pooled it
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  7. Review
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  9. Saliva-based molecular diagnostics in oral squamous cell carcinoma (OSCC): a non-invasive frontier in oncology.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2025
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Yee-Fun SuiStat Biomedical Co., Ltd., New Taipei City 221, Taiwan.
Yi-Ju CheniStat Biomedical Co., Ltd., New Taipei City 221, Taiwan.
Fa-Tzu TsaiInstitute of Oral Biology, School of Dentistry, National Yang Ming Chiao Tung University, Taipei 11221, Taiwan.
Wan-Chun LiInstitute of Oral Biology, School of Dentistry, National Yang Ming Chiao Tung University, Taipei 11221, Taiwan.ORCID 0000-0003-0481-4215
Ming-Lun HsuDepartment of Dentistry, School of Dentistry, National Yang Ming Chiao Tung University, Taipei 11221, Taiwan.
Ding-Han WangDepartment of Dentistry, School of Dentistry, National Yang Ming Chiao Tung University, Taipei 11221, Taiwan.ORCID 0000-0003-3314-6113
Cheng-Chieh YangDepartment of Dentistry, School of Dentistry, National Yang Ming Chiao Tung University, Taipei 11221, Taiwan.ORCID 0000-0002-5355-0087
National Yang Ming Chiao Tung University · TW

Funding

Ministry of Education 110USRHUB-4
6 · The paper itself

Abstract

Oral cancer is one of the most common head and neck malignancies and has an overall 5-year survival rate that remains below 50%. Oral cancer is generally preceded by oral potentially malignant disorders (OPMDs) but determining the risk of OPMD progressing to cancer remains a difficult task. Several diagnostic technologies have been developed to facilitate the detection of OPMD and oral cancer, and some of these have been translated into regulatory-approved in vitro diagnostic systems or medical devices. Furthermore, the rapid development of novel biomarkers, electronic systems, and artificial intelligence may help to develop a new era where OPMD and oral cancer are detected at an early stage. To date, a visual oral examination remains the routine first-line method of identifying oral lesions; however, this method has certain limitations and as a result, patients are either diagnosed when their cancer reaches a severe stage or a high-risk patient with OPMD is misdiagnosed and left untreated. The purpose of this article is to review the currently available diagnostic methods for oral cancer as well as possible future applications of novel promising technologies to oral cancer diagnosis. This will potentially increase diagnostic options and improve our ability to effectively diagnose and treat oral cancerous-related lesions.

Indexed as

biomarkerdiagnosticearly detectionin vitro diagnosticmedical deviceOPMDoral cancer

Identifiers

PMID34359370
PMCPMC8303371
OpenAlexW3184433174

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.