Evidence map›Paper›PMID 34766046›Full record

ReviewSensors international2020

Oral cancer diagnosis and perspectives in India.

Vivek Borse, Aditya Narayan Konwar, Pronamika Buragohain

Open access · goldAbstract readReview
In one paragraph

Review in Sensors international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 147 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
147citing papers in PubMed, 4 pooled it
31.2field-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

147 citing papers in PubMed, 4 syntheses or guidelines pooled it, 449 citations in OpenAlex.

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87 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 1 institution in 1 country.

Vivek BorseNanoBioSens Lab, Centre for Nanotechnology, Indian Institute of Technology Guwahati, Guwahati, 781 039, Assam, India.
Aditya Narayan KonwarNanoBioSens Lab, Centre for Nanotechnology, Indian Institute of Technology Guwahati, Guwahati, 781 039, Assam, India.
Pronamika BuragohainNanoBioSens Lab, Centre for Nanotechnology, Indian Institute of Technology Guwahati, Guwahati, 781 039, Assam, India.
Indian Institute of Technology Guwahati · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Globally, oral cancer is the sixth most common type of cancer with India contributing to almost one-third of the total burden and the second country having the highest number of oral cancer cases. Oral squamous cell carcinoma (OSCC) dominates all the oral cancer cases with potentially malignant disorders, which is also recognized as a detectable pre-clinical phase of oral cancer. Tobacco consumption including smokeless tobacco, betel-quid chewing, excessive alcohol consumption, unhygienic oral condition, and sustained viral infections that include the human papillomavirus are some of the risk aspects for the incidence of oral cancer. Lack of knowledge, variations in exposure to the environment, and behavioral risk factors indicate a wide variation in the global incidence and increases the mortality rate. This review describes various risk factors related to the occurrence of oral cancer, the statistics of the distribution of oral cancer in India by various virtues, and the socio-economic positions. The various conventional diagnostic techniques used routinely for detection of the oral cancer are discussed along with advanced techniques. This review also focusses on the novel techniques developed by Indian researchers that have huge potential for application in oral cancer diagnosis.

Indexed as

DiagnosisIndiaOral cancerSmokeless tobaccoTobacco-related cancer

Identifiers

PMID34766046
PMCPMC7515567
OpenAlexW3088830090

What OpenQuestion holds

Textmetadata
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.