Evidence map›Paper›PMID 33080725›Full record

ArticleMedicine2020

The therapeutic efficacy of Huashi Baidu Formula combined with antiviral drugs in the treatment of COVID-19: A protocol for systematic review and meta-analysis.

Lizhu Han, Yunlan Wang, Kunxia Hu, Zhishu Tang, Xiao Song

Abstract read
In one paragraph

Article in Medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. The effect of Huashibaidu formula on the blood oxygen saturation status of severe COVID-19: A retrospective cohort study.Phytomedicine : international journal of phytotherapy and phytopharmacology · 2022
    Article
  6. Article
  7. Article
  8. Research progress of traditional Chinese medicine against COVID-19.Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie · 2021
    Review
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

5 authors.

Lizhu HanCollege of Pharmacy, Shaanxi University of Chinese Medicine, Xianyang, China.
Yunlan Wang
Kunxia Hu
Zhishu Tang

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Corona Virus Disease 2019 (COVID-19) is a new acute respiratory infectious disease that has become a major global public health event. In China, the combination of Huashi Baidu Formula (HBF) and antiviral drugs is used in the clinical treatment of severe patients with new coronary pneumonia, but there is still a lack of evidence-based medical evaluation.

methodsWe search for research in PubMed/MEDLINE, China National Knowledge Infrastructure (CNKI), Wanfang Database, VIP Database, Cochrane Library, Embase, China Biomedical Database (CBM), and Chinese Science Citation Database (CSCD). For "Huashi Baidu Formula" and "COVID-19," we screened suitable articles without language restrictions on keywords, and recorded and analyzed the screened literature with RevMan 5.3 and STATA 14.2 software.

resultsThis systematic review and meta-analysis will evaluate the efficacy and safety of HBF combined with antiviral drugs in the treatment of COVID-19, and provide the rationality of clinical drug application.

conclusionOur findings will provide references for clinical diagnosis and treatment and guidance programs for COVID-19. INPLASY REGISTRATION NUMBER: INPLASY202080098.

Indexed as

Antiviral AgentsBetacoronavirusCoronavirus InfectionsCOVID-19COVID-19 Drug TreatmentDrugs, Chinese HerbalDrug Therapy, CombinationHumansMeta-Analysis as TopicPandemicsPneumonia, ViralRandomized Controlled Trials as TopicResearch DesignSARS-CoV-2Systematic Reviews as TopicAntiviral AgentsDrugs, Chinese Herbalhuashi baidu

Identifiers

PMID33080725
PMCPMC7571870

What OpenQuestion holds

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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.