Evidence map›Paper›PMID 32791263›Full record

ArticlePharmacological research2020

Hanshiyi Formula, a medicine for Sars-CoV2 infection in China, reduced the proportion of mild and moderate COVID-19 patients turning to severe status: A cohort study.

Jiaxing Tian, Shiyan Yan, Han Wang, Ying Zhang, Yujiao Zheng, Haoran Wu, Xiuyang Li, Zezheng Gao, Yanke Ai, Xiaowen Gou and 5 more

Open access · greenAbstract read
In one paragraph

Article in Pharmacological research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 7 pooled it
1.1field-weighted citation impact, top 13% 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

35 citing papers in PubMed, 7 syntheses or guidelines pooled it, 55 citations in OpenAlex.

  1. Pooled it
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  14. The Role of Ursodeoxycholic Acid Administration During the COVID-19 Pandemic: A Questionnaire Survey.The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2025
    Article
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  18. Role of Stem Cell-Derived Exosomes and microRNAs in Spinal Cord Injury.International journal of molecular sciences · 2023
    Review
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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

15 authors at 3 institutions in 1 country.

Jiaxing TianDepartment of Endocrinology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing 100053, China. Electronic address: tina_yai@126.com.
Shiyan YanInstitute of Clinical Basic Medicine, China Academy of Chinese Medical Sciences, Beijing 100700, China. Electronic address: yanshiyan0927@sina.com.
Han WangDepartment of Endocrinology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing 100053, China. Electronic address: wanghan4313@163.com.
Ying ZhangCenter for Evidence-based Chinese Medicine, Beijing University of Chinese Medicine, Beijing 100029, China. Electronic address: novelzhang@sina.com.
Yujiao ZhengDepartment of Endocrinology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing 100053, China. Electronic address: luoyuorz@163.com.
Haoran WuDepartment of Endocrinology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing 100053, China. Electronic address: dr-whr@foxmail.com.
Xiuyang LiMedical Affairs Department, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing 100053, China. Electronic address: leexiuyang@126.com.
Zezheng GaoDepartment of Endocrinology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing 100053, China. Electronic address: zhengzhigaozezheng@163.com.
Yanke AiInstitute of Clinical Basic Medicine, China Academy of Chinese Medical Sciences, Beijing 100700, China. Electronic address: aiyanke@163.com.
Xiaowen GouDepartment of Endocrinology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing 100053, China. Electronic address: christiana-55555@163.com.
Lei ZhangInstitute of Clinical Basic Medicine, China Academy of Chinese Medical Sciences, Beijing 100700, China. Electronic address: tcmxpzl@126.com.
Liyun HeInstitute of Clinical Basic Medicine, China Academy of Chinese Medical Sciences, Beijing 100700, China. Electronic address: hely3699@163.com.
Fengmei LianDepartment of Endocrinology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing 100053, China. Electronic address: lfm565@sohu.com.
Baoyan LiuChina Academy of Chinese Medical Sciences, Beijing 100700, China. Electronic address: 13601180524@139.com.
Xiaolin TongDepartment of Endocrinology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing 100053, China. Electronic address: tongxiaolin@vip.163.com.
Chinese Academy of Medical Sciences & Peking Union Medical College · CNGuang’anmen Hospital · CNBeijing University of Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We formulated a traditional Chinese medicine (TCM) prescription, Hanshiyi Formula (HSYF), which was approved and promoted by the Wuhan Municipal Health Commission for treating mild and moderate coronavirus disease 2019 (COVID-19). We aimed to evaluate the effect of HSYF on the progression to severe disease in mild and moderate COVID-19 patients. We conducted a retrospective cohort study of patients with mild and moderate COVID-19 in a quarantine station in Wuchang District, Wuhan. Using the real-time Internet information collection application and Centers for Disease Control for the Wuchang District, patient data were collected through patient self-reports and follow-ups. HSYF intervention was defined as the exposure. The primary outcome was the proportion of patients who progressed to a severe disease status, and a stratification analysis was performed. Univariate and multivariate regression analyses were performed to identify influencing factors that may affect the outcome. Further, we used propensity score matching (PSM) to assess the effect of HSYF intervention on the conversion of mild and moderate to a severe disease status. Totally, 721 mild and moderate COVID-19 patients were enrolled, including 430 HSYF users (exposed group) and 291 non-users (control group). No cases in the exposed group and 19 (6.5 %, P < 0.001) cases in the control group progressed to severe disease, and the difference between the two groups (exposed group-control group) was -6.5 % [95 % confidence interval (CI): (-8.87 %, -4.13 %)]. Univariate regression analysis revealed sex (male), age, fever, cough, and fatigue as risk factors for progression to severe disease. After PSM, none of the HSYF users and 7 (4.7 %, P = 0.022) non-users transitioned to severe disease, and the difference between the two groups (exposed group-control group) was -4.7 % [95 % CI: (-8.2 %, -1.2 %)]. Multivariate regression analysis revealed that sex (male) [OR: 3.145; 95 % CI: 1.036-9.545; P = 0.043] and age (> 48 years) [odds ratio (OR): 1.044; 95 % CI: 1.001-1.088; P = 0.044] were independent risk factors for conversion to severe disease. Therefore, HSYF can significantly reduce the progression to severe disease in patients with mild and moderate COVID-19, which may effectively prevent and treat the disease. However, further larger clinical studies are required to verify our results.

Indexed as

COVID-19 Drug TreatmentAdolescentAdultAgedAged, 80 and overChildChild, PreschoolChinaCohort StudiesCOVID-19Disease ProgressionDrugs, Chinese HerbalFemaleHumansInfantInfant, NewbornDrugs, Chinese HerbalHanshiyi FormulaMild COVID-19Moderate COVID-19The proportion to severe statusTraditional Chinese medicine

Identifiers

PMID32791263
PMCPMC7416080
OpenAlexW3048049209

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.