Evidence mapPaperPMID 35629940Full record

ReviewMetabolites2022

Salivary Metabolomics for Oral Cancer Detection: A Narrative Review.

Karthika Panneerselvam, Shigeo Ishikawa, Rajkumar Krishnan, Masahiro Sugimoto

Abstract readReview
In one paragraph

Review in Metabolites, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 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

24 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  12. Biological biomarkers of oral cancer.Periodontology 2000 · 2024
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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.

Karthika PanneerselvamDepartment of Oral Pathology and Microbiology, Karpaga Vinayaga Institute of Dental Sciences, GST Road, Chinna Kolambakkam, Palayanoor PO, Madurantagam Taluk, Kancheepuram 603308, Tamil Nadu, India.
Shigeo IshikawaDepartment of Dentistry, Oral and Maxillofacial Plastic and Reconstructive Surgery, Faculty of Medicine, Yamagata University, Yamagata 990-9585, Japan.
Rajkumar KrishnanDepartment of Oral Pathology, SRM Dental College, Bharathi Salai, Ramapuram, Chennai 600089, Tamil Nadu, India.
Masahiro SugimotoInstitute of Medical Research, Tokyo Medical University, Tokyo 160-0022, Japan.

Funding

JSPS KAKENHI 20H05742JSPS KAKENHI 20H05743JSPS KAKENHI 20K07633JSPS KAKENHI 20K09171JSPS KAKENHI JP21K07228Program on Open Innovation Platform with Enterprises, Research Institute and Academia JPMJOP1842YU-COE(C) from Yamagata University nothing
6 · The paper itself

Abstract

The development of low- or non-invasive screening tests for cancer is crucial for early detection. Saliva is an ideal biofluid containing informative components for monitoring oral and systemic diseases. Metabolomics has frequently been used to identify and quantify numerous metabolites in saliva samples, serving as novel biomarkers associated with various conditions, including cancers. This review summarizes the recent applications of salivary metabolomics in biomarker discovery in oral cancers. We discussed the prevalence, epidemiologic characteristics, and risk factors of oral cancers, as well as the currently available screening programs, in India and Japan. These data imply that the development of biomarkers by itself is inadequate in cancer detection. The use of current diagnostic methods and new technologies is necessary for efficient salivary metabolomics analysis. We also discuss the gap between biomarker discovery and nationwide screening for the early detection of oral cancer and its prevention.

Indexed as

diagnosismachine learningmetabolomicsoral cancerprognosissaliva

Identifiers

PMID35629940
PMCPMC9144467

What Socratic 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 Socratic graph.