Evidence map›Paper›PMID 35288309›Full record

ArticlePharmacological research2022

Timely treatment and higher compliance to traditional Chinese medicine: New influencing factors for reducing severe COVID-19 based on retrospective cohorts in 2020 and 2021.

Ying Zhang, Yangyang Liu, Ming Li, Shaohua Feng, Xiuyang Li, Zezheng Gao, Yingying Yang, Xiaolin Tong

Abstract read
In one paragraph

Article in Pharmacological research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
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

8 authors.

Ying ZhangSchool of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing100029, China. Electronic address: yingzhang@bucm.edu.cn.
Yangyang LiuThe Affiliated Hospital to Changchun University of Chinese Medicine, 1478 Gongnong Street, Changchun, Jilin Province 130021, China. Electronic address: 996439299@qq.com.
Ming LiTonghua Central Hospital, Tonghua 134099, China. Electronic address: 339558371@qq.com.
Shaohua FengTonghua Central Hospital, Tonghua 134099, China. Electronic address: shiyiyuan9@163.com.
Xiuyang LiGuang'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; Institute of Metabolic Diseases, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing 100053, China. Electronic address: zzgaobucm@163.com.
Yingying YangDepartment of Endocrinology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing 100053, China. Electronic address: wyhcyyy@126.com.
Xiaolin TongChangchun University of Chinese Medicine, Changchun, Jilin Province 130021, China. Electronic address: tongxiaolin@vip.163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveFrom the beginning of 2020, our study team formulated a traditional Chinese medicine (TCM) prescription named Sanhanhuashi formula (SHHS) to treat COVID-19 patients. Then we conducted several studies to explore the effectiveness of SHHS formula and other influencing factors on prognosis of disease. The purpose of this study was to describe the trends of patients' characters from 2020 to 2021 based on two separate cohorts, and to explore the influencing factors on incidence of severe COVID-19 conditions, especially the contributions of timely treatment and higher compliance to SHHS formula.

methodsA retrospective cohort study was conducted in Wuhan, Hubei province and Tonghua, Jilin province. Participants were hospitalized mild to moderate COVID-19 consecutive enrolled patients in Wuhan hospital of traditional Chinese and western medicine (from Feb 13, 2020 to March 8, 2020) and Tonghua central hospital (from Jan 17, 2021 to Feb 5, 2021). Age, sex, time waiting to be hospitalized, medical history, initial symptoms, concomitant medication, and severity of disease were collected. Univariate and multivariate logistic regression were used to explore the associations between various exposures and the outcome, ie. the proportion of patients who were converted to severe status. E-values and its lower control limit (LCL) were calculated for sensitivity analysis.

resultsTotally, 176 COVID-19 patients in two hospitals were enrolled. 81 patients were from Wuhan hospital of traditional Chinese and western medicine and 95 from Tonghua central hospital. 42 patients used SHHS formula arrival or exceed 7 days, and 2 (4.8%) progressed to severe condition. Among 134 patients who were exposed SHHS less than 7 days, 18 (13.4%) were converted to severe situation. Compared with those diagnosed in 2020, cases in 2021 were characterized as lower rates of initial symptoms (88.9% vs 35.8%, P < 0.001) and concomitant medications ever widely used, eg. antiviral medicine (71.6% vs 43.2%, P < 0.001), antibiotics (61.7% vs 13.7%, P < 0.001) and Chinese patent medicine (76.5% vs 44.2%, P < 0.001). They also waited less time for hospitalization (median: 12 vs 2 days, P < 0.001). The final multivariate logistic regression model showed that age (> 60 yrs) (OR: 3.943; 95% CI: 1.402-11.086; P = 0.009; E-value = 7.35, LCL:2.15), diagnosis year (OR: 0.165; 95% CI: 0.050-0.551; P = 0.003; E-value=11.6, LCL: 3.03) and SHHS exposure (OR: 0.118; 95% CI: 0.014-0.992; P = 0.049; E-value = 16.43, LCL:1.1) were independent risk factors for predicting severe status.

conclusionsThe profile of COVID-19 patients has changed after one year. In addition to age, diagnosis year and SHHS exposure are two new factors to predict the prognosis of disease. The patients diagnosed in 2021 were mainly benefited from timely treatment. Subsequently, adhere to use SHHS formula a quite longer time reduced the number of severe cases. Therefore, both the current epidemic prevention and control measures and increasing compliance to traditional Chinese medicine are effective ways to reducing severe cases and improving public health.

Indexed as

COVID-19Medicine, Chinese TraditionalChinaHumansMiddle AgedRetrospective StudiesSARS-CoV-2Treatment OutcomeCohort studyE-valueMild COVID-19Moderate COVID-19The proportion to severe statusTraditional Chinese medicine

Identifiers

PMID35288309
PMCPMC8915454

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.