Evidence map›Paper›PMID 33799224›Full record

Observational studyPhytomedicine : international journal of phytotherapy and phytopharmacology2021

Association between use of Qingfei Paidu Tang and mortality in hospitalized patients with COVID-19: A national retrospective registry study.

Lihua Zhang, Xin Zheng, Xueke Bai, Qing Wang, Bowang Chen, Haibo Wang, Jiapeng Lu, Shuang Hu, Xiaoyan Zhang, Haibo Zhang and 6 more

Abstract readObservational Study
In one paragraph

Observational study in Phytomedicine : international journal of phytotherapy and phytopharmacology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 5 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

41 citing papers in PubMed, 5 syntheses or guidelines pooled it.

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  17. Bioactive compounds from Huashi Baidu decoction possess both antiviral and anti-inflammatory effects against COVID-19.Proceedings of the National Academy of Sciences of the United States of America · 2023
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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

16 authors.

Lihua ZhangNational Clinical Research Center for Cardiovascular Diseases, State Key, Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for, Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union, Medical College, Beijing, People's Republic of China.
Xin ZhengNational Clinical Research Center for Cardiovascular Diseases, State Key, Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for, Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union, Medical College, Beijing, People's Republic of China.
Xueke BaiNational Clinical Research Center for Cardiovascular Diseases, State Key, Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for, Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union, Medical College, Beijing, People's Republic of China.
Qing WangNational Clinical Research Center for Cardiovascular Diseases, State Key, Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for, Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union, Medical College, Beijing, People's Republic of China.
Bowang ChenNational Clinical Research Center for Cardiovascular Diseases, State Key, Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for, Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union, Medical College, Beijing, People's Republic of China.
Haibo WangClinical Trial Unit, First Affiliated Hospital of Sun Yat-Sen University, Guangzhou Province, People's Republic of China.
Jiapeng LuNational Clinical Research Center for Cardiovascular Diseases, State Key, Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for, Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union, Medical College, Beijing, People's Republic of China.
Shuang HuNational Clinical Research Center for Cardiovascular Diseases, State Key, Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for, Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union, Medical College, Beijing, People's Republic of China.
Xiaoyan ZhangNational Clinical Research Center for Cardiovascular Diseases, State Key, Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for, Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union, Medical College, Beijing, People's Republic of China.
Haibo ZhangNational Clinical Research Center for Cardiovascular Diseases, State Key, Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for, Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union, Medical College, Beijing, People's Republic of China.
Jiamin LiuNational Clinical Research Center for Cardiovascular Diseases, State Key, Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for, Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union, Medical College, Beijing, People's Republic of China.
Ying ShiChina Standard Medical Information Research Center, Shenzhen, People's Republic of China.
Zhiye ZhouChina Standard Medical Information Research Center, Shenzhen, People's Republic of China.
Lanxia GanChina Standard Medical Information Research Center, Shenzhen, People's Republic of China.
Xi LiNational Clinical Research Center for Cardiovascular Diseases, State Key, Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for, Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union, Medical College, Beijing, People's Republic of China; Central China Subcenter of the National Center for Cardiovascular Diseases, Zhengzhou, People's Republic of China. Electronic address: xi.li@fwoxford.org.
Jing LiNational Clinical Research Center for Cardiovascular Diseases, State Key, Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for, Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union, Medical College, Beijing, People's Republic of China; Central China Subcenter of the National Center for Cardiovascular Diseases, Zhengzhou, People's Republic of China; Fuwai Hospital, Chinese Academy of Medical Sciences, Shenzhen, People's Republic of China. Electronic address: jing.li@fwoxford.org.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundQingfei Paidu Tang (QPT), a formula of traditional Chinese medicine, which was suggested to be able to ease symptoms in patients with Coronavirus Disease 2019 (COVID-19), has been recommended by clinical guidelines and widely used to treat COVID-19 in China. However, whether it decreases mortality remains unknown. PURPOSE: We aimed to explore the association between QPT use and in-hospital mortality among patients hospitalized for COVID-19. STUDY

designA retrospective study based on a real-world database was conducted.

methodsWe identified patients consecutively hospitalized with COVID-19 in 15 hospitals from a national retrospective registry in China, from January through May 2020. Data on patients' characteristics, treatments, and outcomes were extracted from the electronic medical records. The association of QPT use with COVID-19 related mortality was evaluated using Cox proportional hazards models based on propensity score analysis.

resultsOf the 8939 patients included, 28.7% received QPT. The COVID-19 related mortality was 1.2% (95% confidence interval [CI] 0.8% to 1.7%) among the patients receiving QPT and 4.8% (95% CI 4.3% to 5.3%) among those not receiving QPT. After adjustment for patient characteristics and concomitant treatments, QPT use was associated with a relative reduction of 50% in-hospital COVID-19 related mortality (hazard ratio, 0.50; 95% CI, 0.37 to 0.66 p < 0.001). This association was consistent across subgroups by sex and age. Meanwhile, the incidences of acute liver injury (8.9% [95% CI, 7.8% to 10.1%] vs. 9.9% [95% CI, 9.2% to 10.7%]; odds ratio, 0.96 [95% CI, 0.81% to 1.14%], p = 0.658) and acute kidney injury (1.6% [95% CI, 1.2% to 2.2%] vs. 3.0% [95% CI, 2.6% to 3.5%]; odds ratio, 0.85 [95% CI, 0.62 to 1.17], p = 0.318) were comparable between patients receiving QPT and those not receiving QPT. The major study limitations included that the study was an observational study based on real-world data rather than a randomized control trial, and the quality of data could be affected by the accuracy and completeness of medical records.

conclusionsQPT was associated with a substantially lower risk of in-hospital mortality, without extra risk of acute liver injury or acute kidney injury among patients hospitalized with COVID-19.

Indexed as

COVID-19 Drug TreatmentAcute Kidney InjuryAdultAgedChemical and Drug Induced Liver InjuryChinaCOVID-19Drugs, Chinese HerbalFemaleHospital MortalityHumansIncidenceMaleMedicine, Chinese TraditionalMiddle AgedProportional Hazards ModelsDrugs, Chinese Herbalqing fei pai du tangCOVID-19MortalityQingfei Paidu Tang

Identifiers

PMID33799224
PMCPMC7914374

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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.