Evidence map›Paper›PMID 39400080›Full record

ArticleOral health & preventive dentistry2024

A Comparison of Traditional Chinese Medicine and Multiple Conventional Therapy in Treating Oral Lichen Planus: A Network Meta-analysis.

Hoilun Chu, Yanting Ip, Guilin Yang

Abstract readComparative StudyNetwork Meta-Analysis
In one paragraph

Article in Oral health & preventive dentistry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Hoilun Chu
Yanting Ip
Guilin Yang

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo evaluate and compare the efficacy of seven conventional treatments and traditional Chinese medicine (TCM) combined therapies for oral lichen planus. MATERIALS AND

methodsThis study employs PubMed, Web of Science, Cochrane Library, and Cnki to collect studies. After evaluating the quality and bias risk, RevMan 5.4.1 and R Gemtc package was utilised with a visual analogue scale and side effects as outcomes, to compare the efficacy of the seven treatments.

resultsThis study included 20 studies, with a sample size of 1669. Our results suggest that photodynamic therapy and TCM demonstrate the most significant decrease in visual analogue scale and the rank is as follows: photodynamic therapy > TCM > TCM combined with non-hormonal immunosuppressive drugs > TCM combined with glucocorticoids > chloroquine combined with glucocorticoids > non-hormonal immunosuppressive drugs > glucocorticoids. Among them, compared to glucocorticoids, photodynamic therapy (-1.55, 95% CI: (-3.09, -0.02)), TCM (-1.25, 95% CI: (-2.46, -0.06)) significantly outperform in statistics. Moreover, no side effects were reported by the photodynamic therapy treatment. In the comparison with non-hormonal immunosuppressive drugs, the result indicates TCM (-4.17, 95% CI (-8.24, -0.34)), glucocorticoids (-2.78, 95% CI (-5.69, -0.17)) and their combination (-2.83, 95% CI (-5.93, -0.05)) have a significantly lower probability of the appearance of side effects.

conclusionThis study indicates that TCM, from the perspectives of efficacy and the likelihood of side effects, outperforms all other common therapies, besides photodynamic therapy, in treating oral lichen planus.

Indexed as

GlucocorticoidsLichen Planus, OralMedicine, Chinese TraditionalPhotochemotherapyCombined Modality TherapyDrugs, Chinese HerbalDrug Therapy, CombinationHumansImmunosuppressive AgentsDrugs, Chinese HerbalGlucocorticoidsImmunosuppressive Agentsefficacy analysisnetwork meta-analysisoral lichen planusphotodynamic therapytraditional Chinese medicine

Identifiers

PMID39400080
PMCPMC11619877

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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.