Evidence map›Paper›PMID 27900251›Full record

ReviewJournal of oral biology and craniofacial research2016

Salivary biomarkers in oral squamous cell carcinoma - An insight.

T Radhika, Nadeem Jeddy, S Nithya, R M Muthumeenakshi

Abstract readReview
In one paragraph

Review in Journal of oral biology and craniofacial research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 2 pooled it
–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

41 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  13. Cell cycle (Georgetown, Tex.) · 2022
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  16. Upregulation of Synuclein-BioMed research international · 2022
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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

4 authors.

T RadhikaDepartment of Oral Pathology and Microbiology, Thai Moogambigai Dental College, Golden George Nagar, Mugappair, Chennai 107, India.
Nadeem JeddyDepartment of Oral Pathology and Microbiology, Thai Moogambigai Dental College, Golden George Nagar, Mugappair, Chennai 107, India.
S NithyaDepartment of Oral Pathology and Microbiology, Thai Moogambigai Dental College, Golden George Nagar, Mugappair, Chennai 107, India.
R M MuthumeenakshiDepartment of Oral Pathology and Microbiology, Thai Moogambigai Dental College, Golden George Nagar, Mugappair, Chennai 107, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Oral cancer refers to the malignancies that occur in the oral cavity, lip and pharynx with 90% of oral cancers being squamous cell carcinomas (OSCC). OSCC has the highest mortality ratio compared to other carcinomas. Although oral cavity is easily accessible, most oral cancers are detected at a later stage leading to lower survival rates. Early detection of OSCC is a key factor in improving the prognosis and survival rate of the patient. Rapid advancement in the field of diagnosis has enabled early diagnosis of many potentially malignant conditions even before its clinical manifestations. One such diagnostic modality that has gained much relevance in the field of molecular biology has been the discovery of salivary biomarkers (DNA, RNA and protein markers). These salivary biomarkers have been shown to play a non-invasive role in the diagnosis and surveillance of oral cancer. The direct contact between the saliva and the oral cancer lesions makes it a most sensitive and specific, screening method in diagnosis, staging and follow-up. This review aims to discuss the effectiveness and the potential of salivary biomarkers as a screening tool in OSCC.

Indexed as

BiomarkersOral cancerOral squamous cell carcinomaSaliva

Identifiers

PMID27900251
PMCPMC5122805

What OpenQuestion holds

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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.