Evidence map›Paper›PMID 39088715›Full record

ArticleMedicina oral, patologia oral y cirugia bucal2024

Analysis of scientific publications on oral cancer diagnosis delays: a bibliometric study over 22 years.

L-J Lisboa, A-L Pires, A-M Silva, V-S Freitas

Abstract read
In one paragraph

Article in Medicina oral, patologia oral y cirugia bucal, 2024. 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

4 authors.

L-J LisboaDepartment of Health, State University of Feira de Santana Av. Transnordestina, s/n. Novo Horizonte Feira de Santana, Bahia, 44036-900, Brazil lidianej.lisboa@gmail.com.
A-L Pires
A-M Silva
V-S Freitas

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe area of oncology still lacks bibliometric studies that investigate the diagnostic interval of oral cancer. This study proposed to carry out a bibliometric analysis of epidemiological studies that investigated the diagnosis of oral cancer between 2002 to 2024. MATERIAL AND

methodsOn April, 2024, the Scopus and Web of Science databases were explored, and the selected articles underwent bibliometric analysis of performance and scientific mapping of journals, authors, institutions, and countries, as well as the predominant topics and trends in research into the diagnosis of oral cancer through an analysis of references and co-occurrence of key words. The analyzes were carried out using the R extension package, Bibliometrix, and the VOSviewer software.

resultsA total of 532 documents were included. China contributed the highest number of publications (36.71%) and total citations [1,584]. Seoane J was the most prolific author [16 (h-index: 9)], while Warnakulasuriya S had the highest total link strength [282 (h-index: 7)] in co-citations. Oral Oncology was identified as the most prolific [231 (72.64%)], co-cited and impactful journal (h-index: 13). Explosions of citations were found for keywords such as "early diagnosis", "biomarker", "saliva", "precancer" and "prognosis", making it evident that in the field of oral cancer diagnosis there is room for new studies focusing in reducing the diagnostic interval, with the research hotspots being the terms "biomarkers", "imaging diagnosis" and "gene expression".

conclusionsThis study provides valuable information that can help researchers and institutions align their research activities according to emerging themes, establish collaborations and allocate resources effectively.

Indexed as

BibliometricsMouth NeoplasmsHumansPublishingTime Factors

Identifiers

PMID39088715
PMCPMC11365049

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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.