Evidence map›Paper›PMID 36185092›Full record

ReviewEvidence-based complementary and alternative medicine : eCAM2022

Effect of Traditional Chinese Medicine on Treating Antibiotic-Associated Diarrhea in Children: A Systematic Review and Meta-Analysis.

Shunlian Fu, Lisha Sun, Yiding Chen, Qian Zhou, Lijun Yuan, Zinan Li, Qiu Chen

Abstract readReview
In one paragraph

Review in Evidence-based complementary and alternative medicine : eCAM, 2022. 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. Review
  2. [Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2025
    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

7 authors.

Shunlian FuHospital of Chengdu University of Traditional Chinese Medicine, chengdu, China.ORCID https://orcid.org/0000-0003-2002-6606
Lisha SunHospital of Chengdu University of Traditional Chinese Medicine, chengdu, China.ORCID https://orcid.org/0000-0002-5373-0950
Yiding ChenHospital of Chengdu University of Traditional Chinese Medicine, chengdu, China.ORCID https://orcid.org/0000-0002-6954-6293
Qian ZhouHospital of Chengdu University of Traditional Chinese Medicine, chengdu, China.ORCID https://orcid.org/0000-0001-6957-9821
Lijun YuanHospital of Chengdu University of Traditional Chinese Medicine, chengdu, China.ORCID https://orcid.org/0000-0001-9622-2086
Zinan LiHospital of Chengdu University of Traditional Chinese Medicine, chengdu, China.ORCID https://orcid.org/0000-0001-8443-3150
Qiu ChenHospital of Chengdu University of Traditional Chinese Medicine, chengdu, China.ORCID https://orcid.org/0000-0003-1089-4194

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Due to the limited treatment options in antibiotic-associated diarrhea (AAD) in children, more effective treatments should be explored. Traditional Chinese medicine (TCM) has a long history in China, which has produced a pretty effect in clinical practice. Many randomized clinical trials (RCTs) have explored the effect of traditional Chinese medicine on treating AAD in children. However, there has been no systematic review or meta-analysis on the impact of TCM on AAD in children. The aim of this study was to systematically review RCTs on the effect of TCM in children with AAD. Methods: RCTs in the past ten years on TCM for AAD in children were included. We searched Electronic databases as much as possible. This paper was registered in PROSPERO (CRD42022301034). Results: 26 studies were included in this systematic review. 25 studies reported the effects of TCM interventions on the total effective rate (RR = 1.20, CI 1.16 to 1.24; Conclusions: TCM interventions combined with conventional therapy can improve the therapeutic effect of AAD in children. However, future studies are still needed for the low methodological quality.

Identifiers

PMID36185092
PMCPMC9522518

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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.