Evidence map›Paper›PMID 36299311›Full record

ArticleJournal of dental sciences2022

Oral potentially malignant disorder research in Taiwan and mainland China: A scientometric analysis.

Wei Liu, Yinhui Yang, Xinyu Zhang, Huan Shi

Abstract read
In one paragraph

Article in Journal of dental sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
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  11. Comprehensive Insight into Lichen Planus Immunopathogenesis.International journal of molecular sciences · 2023
    Review
  12. Article
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.

Wei LiuDepartment of Oral and Maxillofacial-Head and Neck Oncology, Fengcheng Hospital of Fengxian District, Shanghai Ninth People's Hospital Fengcheng Branch Hospital, Shanghai, China.
Yinhui YangDepartment of Maxillofacial Surgery, Qingdao Stomatological Hospital Affiliated to Qingdao University, Shandong, China.
Xinyu ZhangDepartment of Oral and Maxillofacial-Head and Neck Oncology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Huan ShiCollege of Stomatology, Shanghai Jiao Tong University, National Center for Stomatology, National Clinical Research Center for Oral Diseases, Shanghai Key Laboratory of Stomatology, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Scientometric analysis of a disease is often conducted to recognize research trends and study hotspots. In this report, we analyze the scientometric characteristics of oral potentially malignant disorder (OPMD) research in Taiwan and mainland China. There are 324 and 718 articles on OPMD research originating from Taiwan and Mainland between 2006 and 2021, respectively. The most common subtype of OPMD research in Taiwan and Mainland is oral submucous fibrosis and lichen planus, respectively. Based on the list of main keywords extracted from the included articles, areca/betel quid chewing and alcohol use are the distinctive risk factors in Taiwan. Research on cancer screening, fibroblast/myofibroblast, and smooth muscle actin α are distinctive keywords in Taiwan; whereas the research on apoptosis, cytokine, and inflammation are distinctive keywords in Mainland. The distinctive characteristics of OPMD research are analyzed between Taiwan and mainland China, which may reflect the importance and concerned topics of research.

Indexed as

BibliometricCitation analysisOral potentially malignant disorderOral squamous cell carcinomaRisk factors

Identifiers

PMID36299311
PMCPMC9588815

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.