Evidence map›Paper›PMID 38283017›Full record

ArticleIndian dermatology online journal

Efficacy of Oral, Topical, and Intradermal Tranexamic Acid in Patients with Melasma - A Meta-Analysis.

Viraj S Panchal, Yatri S Patel, Yagnya D Dalal, Amrita P Parikh, Archana D Dalal, Devang A Rana

Abstract read
In one paragraph

Article in Indian dermatology online journal. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. 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

6 authors.

Viraj S PanchalDepartment of Medicine, Smt. N.H.L. Municipal Medical College, Ahmedabad, Gujarat, India.
Yatri S PatelDepartment of Medicine, Smt. N.H.L. Municipal Medical College, Ahmedabad, Gujarat, India.
Yagnya D DalalDepartment of Medicine, G.C.S. Medical College, Ahmedabad, Gujarat, India.
Amrita P ParikhDepartment of Medicine, Smt. N.H.L. Municipal Medical College, Ahmedabad, Gujarat, India.
Archana D DalalDepartment of Surgery, Smt. N.H.L. Municipal Medical College and SVPIMSR Hospital, Ahmedabad, Gujarat, India.
Devang A RanaDepartment of Pharmacology, Smt. N.H.L. Municipal Medical College, Ahmedabad, Gujarat, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Objective: Tranexamic acid (TXA) has recently shown promising results in the treatment of melasma. The objective of this study was to generate statistical evidence on the efficacy of TXA with different routes. Materials and Methods: We searched studies in PubMed, Cochrane, ClinicalTrials.gov, and Scopus using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses 2020 guidelines. A change in melasma area and severity index (MASI)/modified MASI score from the baseline at the end of 8 and 12 weeks was seen. Inverse variance method was used for continuous data to measure standard mean difference (SMD) at a 95% confidence interval (CI). RevMan version 5.4 was used for analysis, and statistical heterogeneity across studies was reported using I Results: Totally, 28 randomized control trials were included. At 8 weeks, oral TXA showed a significant change in SMD of 1.61, 95% CI 0.44-2.79, Conclusion: Tranexamic acid in an oral formulation can be used along with adjuvant treatment for the management of melasma. Data are still required for topical and intradermal routes. Owing to the fact that our included studies had a lot of heterogeneity, more research is needed along with addressing the adverse effects of tranexamic acid as well as its variation in different skin colors.

Indexed as

Intradermalmelasmaoraltopicaltranexamic acid

Identifiers

PMID38283017
PMCPMC10810386

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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.