Evidence map›Paper›PMID 31370775›Full record

ReviewTechnology in cancer research & treatment2019

Role of Oral Microbiome Signatures in Diagnosis and Prognosis of Oral Cancer.

Indranil Chattopadhyay, Mukesh Verma, Madhusmita Panda

Open access · goldAbstract readReview
In one paragraph

Review in Technology in cancer research & treatment, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 234 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
234citing papers in PubMed, 2 pooled it
27.1field-weighted citation impact, top 1% 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

234 citing papers in PubMed, 2 syntheses or guidelines pooled it, 387 citations in OpenAlex.

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  20. The role ofFrontiers in oral health · 2026
    Review

174 more citing papers are in PubMed but not listed here.

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

3 authors at 2 institutions in 2 countries.

Indranil Chattopadhyay1 Department of Life Sciences, Central University of Tamil Nadu, Thiruvarur, Tamil Nadu, India.ORCID 0000-0002-0191-2621
Mukesh Verma2 Epidemiology and Genomics Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, National Institutes of Health, Rockville, MD, USA.
Madhusmita Panda1 Department of Life Sciences, Central University of Tamil Nadu, Thiruvarur, Tamil Nadu, India.
Central University of Tamil Nadu · INNational Institutes of Health · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite advancement in cancer treatment, oral cancer has a poor prognosis and is often detected at late stage. To overcome these challenges, investigators should search for early diagnostic and prognostic biomarkers. More than 700 bacterial species reside in the oral cavity. The oral microbiome population varies by saliva and different habitats of oral cavity. Tobacco, alcohol, and betel nut, which are causative factors of oral cancer, may alter the oral microbiome composition. Both pathogenic and commensal strains of bacteria have significantly contributed to oral cancer. Numerous bacterial species in the oral cavity are involved in chronic inflammation that lead to development of oral carcinogenesis. Bacterial products and its metabolic by-products may induce permanent genetic alterations in epithelial cells of the host that drive proliferation and/or survival of epithelial cells.

Indexed as

CarcinogenesisCell ProliferationFusobacterium nucleatumHumansInflammationMicrobiotaMouth NeoplasmsPorphyromonas gingivalisPrognosisSalivabiofilmbiomarkerinflammationoral canceroral microbiome

Identifiers

PMID31370775
PMCPMC6676258
OpenAlexW2965423269

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.