Evidence map›Paper›PMID 40441764›Full record

SynthesisBMJ open2025

Pharmacotherapy options for the management of subjective tinnitus: a systematic review and network meta-analysis.

Peifan Li, Chenhao Che, Yongzhen Wu, Shan Sun

Abstract readNetwork Meta-AnalysisSystematic Review
In one paragraph

Synthesis in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Peifan LiDepartment of Otorhinolaryngology, Eye and E.N.T. Hospital, Fudan University, Shanghai, China.
Chenhao CheDepartment of Otorhinolaryngology, Eye and E.N.T. Hospital, Fudan University, Shanghai, China.
Yongzhen WuDepartment of Otorhinolaryngology, Eye and E.N.T. Hospital, Fudan University, Shanghai, China.
Shan SunDepartment of Otorhinolaryngology, Eye and E.N.T. Hospital, Fudan University, Shanghai, China Shansun@fudan.edu.cn.ORCID http://orcid.org/0000-0003-2142-4307

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study aims to compare the outcomes of different pharmacotherapies for subjective tinnitus patients using a comprehensive network meta-analysis.

designSystematic review and network meta-analysis. DATA SOURCES: PubMed, EMBASE, Web of Science and CINAHL Complete databases were searched from inception until 6 March 2025. ELIGIBILITY CRITERIA: Randomised controlled trials (RCTs) comparing pharmacotherapy treatment effects for subjective tinnitus patients were included with tinnitus severity as the primary outcome, and annoyance and tinnitus loudness as secondary outcomes. DATA EXTRACTION AND SYNTHESIS: Two reviewers independently retrieved and screened full articles using a standardised and prepiloted Excel form. Network meta-analysis was conducted with heterogeneity, study risk of bias (ROB), risk of publication bias and certainty of evidence examined using I

resultsSixty full-text RCTs from 21 countries were included in the analysis with 22% low ROB, 58% some concerns and 20% high ROB. The heterogeneity parameter I

conclusionsThis meta-analysis found that antioxidant supplementation, such as Ginkgo biloba, and vitamins and gamma-aminobutyric acid agonists, represented by acamprosate, could be promising treatments for subjective tinnitus. Further trials with rigorous design and larger sample sizes are necessary to supplement the current evidence. TRIAL REGISTRATION NUMBER: INPLASY202480066.

Indexed as

TinnitusHumansRandomized Controlled Trials as TopicCLINICAL PHARMACOLOGYMeta-AnalysisOTOLARYNGOLOGY

Identifiers

PMID40441764
PMCPMC12121590

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.