Evidence map›Paper›PMID 34330513›Full record

SynthesisClinical nutrition ESPEN2021

Dietary supplements and herbal medicine for COVID-19: A systematic review of randomized control trials.

Zitong Feng, Juan Yang, Mingzhu Xu, Run Lin, Huijun Yang, Liting Lai, Yixiao Wang, Dietlind L Wahner-Roedler, Xuan Zhou, Kyung-Min Shin and 6 more

Abstract readSystematic Review
In one paragraph

Synthesis in Clinical nutrition ESPEN, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 2 pooled it
–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

19 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Hydrogen Water: Extra Healthy or a Hoax?-A Systematic Review.International journal of molecular sciences · 2024
    Pooled it
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors.

Zitong FengMedical College of Acu-Moxi and Rehabilitation, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China.
Juan YangDivision of General Internal Medicine, Mayo Clinic, Rochester, MN, USA.
Mingzhu XuDepartment of Rehabilitation, Shenzhen Hospital, Southern Medical University, 1333 Xinhu Road, Shenzhen, 518100, Guangdong, China.
Run LinDepartment of Rehabilitation, Shenzhen Hospital of Guangzhou University of Chinese Medicine (Futian), Shenzhen, Guangdong, China.
Huijun YangDepartment of Rehabilitation, Shenzhen Hospital of Guangzhou University of Chinese Medicine (Futian), Shenzhen, Guangdong, China.
Liting LaiMedical College of Acu-Moxi and Rehabilitation, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China.
Yixiao WangDepartment of Rehabilitation, Shenzhen Hospital, Southern Medical University, 1333 Xinhu Road, Shenzhen, 518100, Guangdong, China.
Dietlind L Wahner-RoedlerDivision of General Internal Medicine, Mayo Clinic, Rochester, MN, USA.
Xuan ZhouFormula- Pattern Research Center, School of Traditional Chinese Medicine, Jinan University, Guangzhou, Guangdong, China.
Kyung-Min ShinDivision of General Internal Medicine, Mayo Clinic, Rochester, MN, USA.
Manisha SalinasDivision of Family Medicine, Mayo Clinic, Jacksonville, FL, USA.
Molly J MalloryDivision of General Internal Medicine, Mayo Clinic, Rochester, MN, USA.
Chunzhi TangMedical College of Acu-Moxi and Rehabilitation, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China.
David C PatchettDepartment of Family Medicine, Mayo Clinic, Scottsdale, AZ, USA; Department of Integrative Medicine, Mayo Clinic, Scottsdale, AZ, USA. Electronic address: patchett.david@mayo.edu.
Brent A BauerDivision of General Internal Medicine, Mayo Clinic, Rochester, MN, USA. Electronic address: Bauer.Brent@mayo.Edu.
Shaoyang CuiMedical College of Acu-Moxi and Rehabilitation, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China; Department of Rehabilitation, Shenzhen Hospital of Guangzhou University of Chinese Medicine (Futian), Shenzhen, Guangdong, China. Electronic address: herb107@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe world is currently struggling with the Coronavirus disease 2019 (COVID-19) pandemic. Dietary supplements (DSs) and herbal medicine provide a potentially convenient and accessible method for its recovery, but direct evidence is limited.

objectiveThis study aims to investigate the effectiveness of DSs and herbs in patients with COVID-19.

methodsA systematic literature search was conducted in multiple electronic English and Chinese databases. Randomized controlled trials (RCTs) involving DSs or herbal medicine interventions on patients with COVID-19 from November 2019 to February 2021 were included. Data was extracted, summarized and critically examined.

resultsOut of 9402 records identified in the initial search, twelve RCTs were included in this review. Risk of bias of these RCTs was deemed high. Most of the trials were of low methodologic quality. Nine studies showed herbal supplements were beneficial to the recovery of COVID-19 patients; zinc sulfate could shorten the duration of loss of smell but not total recovery from COVID-19. No severe adverse events were reported.

conclusionHerbal supplements may help patients with COVID-19, zinc sulfate is likely to shorten the duration of olfactory dysfunction. DS therapy and herbal medicine appear to be safe and effective adjuvant therapies for patients with COVID-19. These results must be interpreted with caution due to the overall low quality of the included trials. More well-designed RCTs are needed in the future.

Indexed as

COVID-19 Drug TreatmentDietary SupplementsHerbal MedicineHumansPhytotherapyRandomized Controlled Trials as TopicSARS-CoV-2COVID-19DietDietary supplementHerbsSystematic reviewVirus

Identifiers

PMID34330513
PMCPMC8166807

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.