Evidence map›Paper›PMID 39119611›Full record

ReviewFrontiers in pharmacology2024

Global research trends on melasma: a bibliometric and visualized study from 2014 to 2023.

Li-Jun Wang, Yao-Bin Pang, Wen-Quan Li, Qing-Ying He, Xue-Er Zhang, E Liu, Jing Guo

Abstract readReview
In one paragraph

Review in Frontiers in pharmacology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
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

7 authors.

Li-Jun WangSchool of Clinical Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Yao-Bin PangSchool of Clinical Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Wen-Quan LiSchool of Clinical Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Qing-Ying HeSchool of Clinical Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Xue-Er ZhangSchool of Clinical Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
E LiuSchool of Clinical Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Jing GuoDepartment of Dermatology, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Melasma, a prevalent pigmentary disorder, is characterized by its complex etiology, propensity for recurrence, and resistance to treatment. However, there is currently no research on melasma through bibliometrics and visualisation. This study analyses the hotspots and trends in the field based on 2,709 publications from the Web of Science Core Collection (WOSCC). We carried out bibliometric analyses using Citespace software for different countries/regions, institutions, authors, and keywords. References were also analysed using VoSviewer. The results indicate that overall, there has been an increase in publications related to melasma since 2014. According to the analysis of the collaborative network diagram, the United States, Egyptian Knowledge Bank, and Benjakul Soottawat are the most contributing countries, institutions, and authors, respectively. Reference and keyword analyses have identified the pathogenesis and treatment of melasma as a prevalent topic in recent years. And how to find new treatment options and more effective therapeutic drugs is a future research trend. This is the first bibliometric and visual analysis of melasma-related literature to explore research hotspots and trends.

Indexed as

bibliometricgloble research trendsmelanosismelasmavisualized study

Identifiers

PMID39119611
PMCPMC11306164

What OpenQuestion holds

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Registered trials

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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.