Evidence map›Paper›PMID 38831890›Full record

ReviewIntegrative medicine research2024

Traditional Chinese medicine for post-viral olfactory dysfunction: A systematic review.

Xiang-Yun Zou, Xue-Han Liu, Chun-Li Lu, Xin-Yan Jin, Bai-Xiang He, Yi-Lei Liao, Ting Liu, Yi-Dan Dai, Shi-Hao Qi, Zhu-Jun Sheng and 4 more

Abstract readReview
In one paragraph

Review in Integrative medicine research, 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

14 authors.

Xiang-Yun ZouCentre for Evidence-Based Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China.
Xue-Han LiuCentre for Evidence-Based Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China.
Chun-Li LuGuangdong Pharmaceutical University, 280 Huandong Road, University Town, Guangzhou, Guangdong, China.
Xin-Yan JinCentre for Evidence-Based Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China.
Bai-Xiang HeCentre for Evidence-Based Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China.
Yi-Lei LiaoCentre for Evidence-Based Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China.
Ting LiuCentre for Evidence-Based Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China.
Yi-Dan DaiCentre for Evidence-Based Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China.
Shi-Hao QiCentre for Evidence-Based Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China.
Zhu-Jun ShengCentre for Evidence-Based Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China.
Zhan-Feng YanDepartment of Otolaryngology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Guo-Yan YangNICM Health Research Institute, Western Sydney University, Penrith, NSW, Australia.
Trine StubThe National Research Center in Complementary and Alternative Medicine (NAFKAM), Department of Community Medicine, Faculty of Health Science, UiT The Arctic University of Norway, Tromsø, Norway.
Jian-Ping LiuCentre for Evidence-Based Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Post-viral olfactory dysfunction (PVOD) is the common symptoms of long COVID, lacking of effective treatments. Traditional Chinese medicine (TCM) is claimed to be effective in treating olfactory dysfunction, but the evidence has not yet been critically appraised. We conducted a systematic review to evaluate the effectiveness and safety of TCM for PVOD. Methods: We searched eight databases to identified clinical controlled studies about TCM for PVOD. The Cochrane risk of bias tools and GRADE were used to evaluate the quality of evidence. Risk ratio (RR), mean differences (MD), and 95 % confidence interval (CI), were used for effect estimation and RevMan 5.4.1 was used for data analysis. Results: Six randomized controlled trials (RCTs) (545 participants), two non-randomized controlled trials (non-RCTs) (112 participants), and one retrospective cohort study (30 participants) were included. The overall quality of included studies was low. Acupuncture ( Conclusions: Limited evidence focus on acupuncture and acupoint injection for PVOD and suggests that acupuncture and acupoint injection may be effective in improving PVOD. More well-designed trials should focus on acupuncture to confirm the benefit. Protocol registration: The protocol of this review was registered at PROSPERO: CRD42022366776.

Indexed as

AcupunctureAnosmiaHyposmiaLong COVIDPost-viral olfactory dysfunction

Identifiers

PMID38831890
PMCPMC11144739

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.