Evidence map›Paper›PMID 41883991›Full record

ReviewCancer management and research2026

Non-Invasive Techniques for Early Detection of Oral Squamous Cell Carcinoma: A Narrative Review.

Jingyi Yang, Zineng Yuan, Shasha Mei, Hanqing Liu, Qiong Xiang, Enfeng Song

Abstract readReview
In one paragraph

Review in Cancer management and research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Jingyi Yang *School of Chinese Medicine, Hubei University of Chinese Medicine, Wuhan City, Hubei Province, People's Republic of China.
Zineng Yuan *Shanghai Medical College, Fudan University, Shanghai City, People's Republic of China.ORCID 0009-0002-0614-5393
Shasha MeiDepartment of Chinese Medicine, Renmin Hospital of Wuhan University, Wuhan City, Hubei Province, People's Republic of China.
Hanqing LiuSchool of Chinese Medicine, Hubei University of Chinese Medicine, Wuhan City, Hubei Province, People's Republic of China.
Qiong XiangDepartment of Chinese Medicine, Renmin Hospital of Wuhan University, Wuhan City, Hubei Province, People's Republic of China.
Enfeng SongSchool of Chinese Medicine, Hubei University of Chinese Medicine, Wuhan City, Hubei Province, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Oral squamous cell carcinoma (OSCC) is the most common malignant tumor of the oral cavity, accounting for the majority of oral cancers, and early detection is crucial for improving patient survival rates and prognosis. Traditional diagnostic methods have limitations, including invasiveness and diagnostic delays, and are insufficient for early detection and distinguishing between similar diseases. In recent years, with the rapid advancement of molecular biology and biotechnology, a variety of emerging non-invasive diagnostic approaches have provided new strategies for early screening and precise diagnosis of OSCC. This review summarizes the cutting-edge technologies in OSCC diagnosis in recent years, including biomarker-based detection (such as microRNA, circRNA, gene methylation, and salivary proteomics), oral microbiome analysis, optical imaging technologies combined with artificial intelligence, and more. These emerging methods not only offer non-invasive or minimally invasive advantages but also enable the detection of potential molecular changes in the early stages of the disease, allowing for early intervention. Despite the challenges in standardization, sensitivity, and specificity optimization that these new technologies face in clinical applications, they undoubtedly offer vast prospects for early detection and personalized treatment of OSCC. This review aims to achieve the following objectives: First, to systematically evaluate the latest research evidence on various emerging non-invasive diagnostic technologies; second, to comprehensively compare their advantages and limitations relative to traditional methods; and finally, to attempt constructing a clinical translation assessment framework for early-stage multimodal diagnostic technologies in OSCC, thereby guiding future translational strategies.

Indexed as

biomarkersemerging diagnostic approachesoptical imagingoral microbiomeOSCC

Identifiers

PMID41883991
PMCPMC13012549

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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.