Evidence map›Paper›PMID 35222677›Full record

ReviewEvidence-based complementary and alternative medicine : eCAM2022

Traditional Chinese Medicine for HIV-Associated Acute Herpes Zoster: A Systematic Review and Meta-Analysis of Randomized Trials.

Yue Jiang, Ruo-Xiang Zheng, Ze-Yu Yu, Xiao-Wen Zhang, Jing Li, Hui-Di Lan, Shu-Yu Qiao, Mei Han, Hui-Juan Cao, Nicola Robinson and 1 more

Open access · hybridAbstract 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 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 29% of its field
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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
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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

11 authors at 4 institutions in 2 countries.

Yue JiangCentre for Evidence-Based Chinese Medicine, Beijing University of Chinese Medicine, No. 11 Bei San Huan Dong Lu, Chaoyang District, Beijing 100029, China.ORCID https://orcid.org/0000-0002-9427-6627
Ruo-Xiang ZhengCentre for Evidence-Based Chinese Medicine, Beijing University of Chinese Medicine, No. 11 Bei San Huan Dong Lu, Chaoyang District, Beijing 100029, China.ORCID https://orcid.org/0000-0002-3229-8839
Ze-Yu YuCentre for Evidence-Based Chinese Medicine, Beijing University of Chinese Medicine, No. 11 Bei San Huan Dong Lu, Chaoyang District, Beijing 100029, China.ORCID https://orcid.org/0000-0002-4143-0299
Xiao-Wen ZhangCentre for Evidence-Based Chinese Medicine, Beijing University of Chinese Medicine, No. 11 Bei San Huan Dong Lu, Chaoyang District, Beijing 100029, China.ORCID https://orcid.org/0000-0002-1724-4381
Jing LiBeijing Key Laboratory of the Innovative Development of Functional Staple and the Nutritional Intervention for Chronic Disease, China National Research Institute of Food & Fermentation Industries Co, Ltd, Beijing 100015, China.ORCID https://orcid.org/0000-0002-8030-7146
Hui-Di LanSchool of Traditional Medicine, Guangxi University of Chinese Medicine, No. 13 Wu He Da Dao, Nanning, Guangxi 530000, China.ORCID https://orcid.org/0000-0003-4561-4543
Shu-Yu QiaoCentre for Evidence-Based Chinese Medicine, Beijing University of Chinese Medicine, No. 11 Bei San Huan Dong Lu, Chaoyang District, Beijing 100029, China.ORCID https://orcid.org/0000-0002-7787-6073
Mei HanCentre for Evidence-Based Chinese Medicine, Beijing University of Chinese Medicine, No. 11 Bei San Huan Dong Lu, Chaoyang District, Beijing 100029, China.ORCID https://orcid.org/0000-0001-6883-3891
Hui-Juan CaoCentre for Evidence-Based Chinese Medicine, Beijing University of Chinese Medicine, No. 11 Bei San Huan Dong Lu, Chaoyang District, Beijing 100029, China.ORCID https://orcid.org/0000-0003-3244-6288
Nicola RobinsonInstitute of Health and Social Care, London South Bank University, 103 Borough Road, London, UK.ORCID https://orcid.org/0000-0001-5256-4527
Jian-Ping LiuCentre for Evidence-Based Chinese Medicine, Beijing University of Chinese Medicine, No. 11 Bei San Huan Dong Lu, Chaoyang District, Beijing 100029, China.ORCID https://orcid.org/0000-0002-0320-061X
Beijing University of Chinese Medicine · CNChina National Research Institute of Food and Fermentation · CNGuangxi University of Chinese Medicine · CNLondon South Bank University · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHerpes zoster (HZ) is a common infection in individuals with acquired immunodeficiency syndrome (AIDS) patients. Traditional Chinese medicine (TCM) has been used widely in clinical practice for HZ, which remains not supportive of evidence. This review aimed to evaluate the effectiveness and safety of TCM in treating HIV-associated HZ.

methodsNine electronic databases were searched for randomized controlled trials (RCTs) testing TCM in treating HIV-associated HZ. Data were extracted on citations, interventions, and outcomes, by two authors independently. For the quality evaluation, Cochrane risk-of-bias tool 2.0 was used. Meta-analyses were performed by Revman5.3 software. Effect estimation presented as risk ratio (RR) for dichotomous data and mean difference (MD) for continuous data with their 95% confidence interval (CI).

resultsTwelve RCTs (

conclusionCHM and acupuncture demonstrate more benefits than drugs in pain relief, cure rate improvement, and incidence reduction of PHN. However, given the data limitation and TCM therapies' diversity, the conclusions need to be verified in future trials.

Identifiers

PMID35222677
PMCPMC8881158
OpenAlexW4226184335

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.