Evidence map›Paper›PMID 33731163›Full record

Trial reportInfectious diseases of poverty2021

Efficacy of the combination of modern medicine and traditional Chinese medicine in pulmonary fibrosis arising as a sequelae in convalescent COVID-19 patients: a randomized multicenter trial.

Zhen-Hui Lu, Chun-Li Yang, Gai-Ge Yang, Wen-Xu Pan, Li-Guang Tian, Jin-Xin Zheng, Shan Lv, Shao-Yan Zhang, Pei-Yong Zheng, Shun-Xian Zhang

Open access · goldAbstract readMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in Infectious diseases of poverty, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
5.3field-weighted citation impact, top 3% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 35 citations in OpenAlex.

  1. Pooled it
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  12. Complementary and Alternative Medicine for Long COVID: Scoping Review and Bibliometric Analysis.Evidence-based complementary and alternative medicine : eCAM · 2022
    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

10 authors at 5 institutions in 1 country.

Zhen-Hui Lu *Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shangha, 200032, People's Republic of China.
Chun-Li Yang *The 903Rd Hospital of People's Liberation Army of China, Hangzhou, 310013, People's Republic of China.
Gai-Ge YangGuangzhou Women and Children's Medical Center, Guangzhou, 510623, People's Republic of China.
Wen-Xu PanThe First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, 510632, People's Republic of China.
Li-Guang TianNational Institute of Parasitic DiseasesChinese Center for Disease Control and PreventionChinese Center for Tropical Diseases ResearchKey Laboratory of Parasite and Vector BiologyMinistry of HealthNational Center for International Research On Tropical DiseasesMinistry of Science and Technology, WHO Collaborating Center for Tropical Diseases, Shanghai, 200025, People's Republic of China.
Jin-Xin ZhengNational Institute of Parasitic DiseasesChinese Center for Disease Control and PreventionChinese Center for Tropical Diseases ResearchKey Laboratory of Parasite and Vector BiologyMinistry of HealthNational Center for International Research On Tropical DiseasesMinistry of Science and Technology, WHO Collaborating Center for Tropical Diseases, Shanghai, 200025, People's Republic of China.
Shan LvNational Institute of Parasitic DiseasesChinese Center for Disease Control and PreventionChinese Center for Tropical Diseases ResearchKey Laboratory of Parasite and Vector BiologyMinistry of HealthNational Center for International Research On Tropical DiseasesMinistry of Science and Technology, WHO Collaborating Center for Tropical Diseases, Shanghai, 200025, People's Republic of China.
Shao-Yan ZhangLonghua Hospital, Shanghai University of Traditional Chinese Medicine, Shangha, 200032, People's Republic of China.
Pei-Yong ZhengLonghua Hospital, Shanghai University of Traditional Chinese Medicine, Shangha, 200032, People's Republic of China. zpychina@sina.com.
Shun-Xian ZhangNational Institute of Parasitic DiseasesChinese Center for Disease Control and PreventionChinese Center for Tropical Diseases ResearchKey Laboratory of Parasite and Vector BiologyMinistry of HealthNational Center for International Research On Tropical DiseasesMinistry of Science and Technology, WHO Collaborating Center for Tropical Diseases, Shanghai, 200025, People's Republic of China. zhangshunxian110@163.com.ORCID http://orcid.org/0000-0002-8929-4433
National Institute for Parasitic Diseases · CNShanghai University of Traditional Chinese Medicine · CN117th Hospital of People's Liberation Army · CNFirst Affiliated Hospital of Jinan University · CNGuangzhou Women and Children Medical Center · CN

Funding

Postdoctoral Research Foundation of China 2020T130022ZX
6 · The paper itself

Abstract

backgroundThe coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) has led to a significant number of mortalities worldwide. COVID-19 poses a serious threat to human life. The clinical manifestations of COVID-19 are diverse and severe and 20% of infected patients are reported to be in a critical condition. A loss in lung function and pulmonary fibrosis are the main manifestations of patients with the severe form of the disease. The lung function is affected, even after recovery, thereby greatly affecting the psychology and well-being of patients, and significantly reducing their quality of life.

methodsParticipants must meet the following simultaneous inclusion criteria: over 18 years of age, should have recovered from severe or critical COVID-19 cases, should exhibit pulmonary fibrosis after recovery, and should exhibit Qi-Yin deficiency syndrome as indicated in the system of traditional Chinese medicine (TCM). The eligible candidates will be randomized into treatment or control groups. The treatment group will receive modern medicine (pirfenidone) plus TCM whereas the control group will be administered modern medicine plus TCM placebo. The lung function index will be continuously surveyed and recorded. By comparing the treatment effect between the two groups, the study intend to explore whether TCM can improve the effectiveness of modern medicine in patients with pulmonary fibrosis arising as a sequelae after SARS-CoV-2 infection. DISCUSSION: Pulmonary fibrosis is one of fatal sequelae for some severe or critical COVID-19 cases, some studies reveal that pirfenidone lead to a delay in the decline of forced expiratory vital capacity, thereby reducing the mortality partly. Additionally, although TCM has been proven to be efficacious in treating pulmonary fibrosis, its role in treating pulmonary fibrosis related COVID-19 has not been explored. Hence, a multicenter, parallel-group, randomized controlled, interventional, prospective clinical trial has been designed and will be conducted to determine if a new comprehensive treatment for pulmonary fibrosis related to COVID-19 is feasible and if it can improve the quality of life of patients.

trial registrationThis multicenter, parallel-group, randomized controlled, interventional, prospective trial was registered at the Chinese Clinical Trial Registry (ChiCTR2000033284) on 26th May 2020 (prospective registered).

Indexed as

SARS-CoV-2Antiviral AgentsCombined Modality TherapyCOVID-19Data AnalysisHumansMedicine, Chinese TraditionalPulmonary FibrosisQuality of LifeTreatment OutcomeAntiviral AgentsCOVID-19Modern medicinePulmonary fibrosisSASR-CoV-2Traditional Chinese medicine

Identifiers

PMID33731163
PMCPMC7969149
OpenAlexW3139474556

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.