Evidence map›Paper›PMID 39665846›Full record

SynthesisSleep & breathing = Schlaf & Atmung2024

Chinese herbal medicine for obstructive sleep apnoea: a systematic review with meta-analysis.

Yoann Birling, Yu Wu, Matthew Rahimi

Abstract readSystematic ReviewMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Sleep & breathing = Schlaf & Atmung, 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.

Yoann BirlingNICM Health Research Institute, Western Sydney University, Locked Bag 1797, Penrith, NSW, 2751, Australia. y.birling@westernsydney.edu.au.ORCID 0000-0003-1478-6705
Yu WuChinese Medicine and Acupuncture Society of Australia, 23 John St, Cabramatta, NSW, 2166, Australia.
Matthew RahimiWoolcock Institute of Medical Research, 431 Glebe Point Rd, Glebe, NSW, 2037, Australia.ORCID 0000-0002-7799-9348

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeChinese Herbal Medicine (CHM) may have a place in the treatment of obstructive sleep apnoea (OSA), but the evidence has not been systematically assessed. The objective of this study is to evaluate the evidence for the effectiveness of CHM for OSA.

methodsCENTRAL, EMBase, PubMed, CINAHL, CNKI, Wanfang and Chongqing VIP were searched from database inception to the 13th of August 2023. Randomised-controlled trials in which the effect of CHM on sleep variables was tested in the treatment of OSA were selected. The primary outcomes of this review and meta-analysis were the apnoea hypopnoea index (AHI) measured with polysomnography.

resultsA total of 58 studies, involving 4,590 participants, were included. The meta-analysis showed that CHM reduced AHI more significantly than placebo (mean difference = -7.10 events/hour, 95% CI = -11.95, -2.25, P < 0.01, 7 studies, 583 participants) and the combination of CHM and Continuous Positive Airway Pressure (CPAP) more effective than CPAP alone (mean difference = -4.71 events/hour, 95% CI = -5.62, -3.80, P < 0.001, 28 studies, 2,267 participants). CHM improved sleepiness, quality of life, body weight, oxidative biomarkers, inflammatory biomarkers, cognitive function, blood pressure and respiratory function.

conclusionOur results suggest that CHM, alone and as an adjunct treatment, can improve various aspects of OSA and its comorbidities and is therefore a viable therapeutic option for OSA.

Indexed as

Drugs, Chinese HerbalSleep Apnea, ObstructiveContinuous Positive Airway PressureHumansDrugs, Chinese HerbalChinese herbal medicineChinese medicineHerbal medicinePolysomnographySleep apnoea

Identifiers

What OpenQuestion holds

Textmetadata
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.