Evidence map›Paper›PMID 32926319›Full record

Observational studyFrontiers of medicine2020

Clinical features and the traditional Chinese medicine therapeutic characteristics of 293 COVID-19 inpatient cases.

Zixin Shu, Yana Zhou, Kai Chang, Jifen Liu, Xiaojun Min, Qing Zhang, Jing Sun, Yajuan Xiong, Qunsheng Zou, Qiguang Zheng and 5 more

Open access · bronzeAbstract readObservational Study
In one paragraph

Observational study in Frontiers of medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 5 pooled it
10.9field-weighted citation impact, top 1% 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

28 citing papers in PubMed, 5 syntheses or guidelines pooled it, 58 citations in OpenAlex.

  1. Pooled it
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  6. Article
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  10. Review
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  12. Pathophysiology and Management of Tongue Involvement in COVID-19 Patients.Indian journal of otolaryngology and head and neck surgery : official publication of the Association of Otolaryngologists of India · 2022
    Article
  13. Article
  14. Article
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  16. Mining intrinsic information of convalescent patients after suffering coronavirus disease 2019 in Wuhan.Journal of traditional Chinese medicine = Chung i tsa chih ying wen pan · 2022
    Article
  17. 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 4 institutions in 2 countries.

Zixin ShuInstitute of Medical Intelligence, School of Computer and Information Technology, Beijing Jiaotong University, Beijing, 100044, China.
Yana ZhouHubei Provincial Hospital of Traditional Chinese Medicine, Wuhan, 430061, China.
Kai ChangInstitute of Medical Intelligence, School of Computer and Information Technology, Beijing Jiaotong University, Beijing, 100044, China.
Jifen LiuHubei Provincial Hospital of Traditional Chinese Medicine, Wuhan, 430061, China.
Xiaojun MinHubei Provincial Hospital of Traditional Chinese Medicine, Wuhan, 430061, China.
Qing ZhangHubei Provincial Hospital of Traditional Chinese Medicine, Wuhan, 430061, China.
Jing SunHubei Provincial Hospital of Traditional Chinese Medicine, Wuhan, 430061, China.
Yajuan XiongHubei Provincial Hospital of Traditional Chinese Medicine, Wuhan, 430061, China.
Qunsheng ZouInstitute of Medical Intelligence, School of Computer and Information Technology, Beijing Jiaotong University, Beijing, 100044, China.
Qiguang ZhengInstitute of Medical Intelligence, School of Computer and Information Technology, Beijing Jiaotong University, Beijing, 100044, China.
Jinghui JiInstitute of Medical Intelligence, School of Computer and Information Technology, Beijing Jiaotong University, Beijing, 100044, China.
Josiah PoonSchool of Computer Science, The University of Sydney, Sydney, NSW, 2006, Australia. josiah.poon@sydney.edu.au.
Baoyan LiuChina Academy of Chinese Medical Sciences, Beijing, 100700, China. liuby5505@139.com.
Xuezhong ZhouInstitute of Medical Intelligence, School of Computer and Information Technology, Beijing Jiaotong University, Beijing, 100044, China. xzzhou@bjtu.edu.cn.
Xiaodong LiHubei Provincial Hospital of Traditional Chinese Medicine, Wuhan, 430061, China. lixiaodong555@126.com.
Beijing Jiaotong University · CNHubei Provincial Hospital of Traditional Chinese Medicine · CNChinese Academy of Medical Sciences & Peking Union Medical College · CNUniversity of Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronavirus disease 2019 (COVID-19) is now pandemic worldwide and has heavily overloaded hospitals in Wuhan City, China during the time between late January and February. We reported the clinical features and therapeutic characteristics of moderate COVID-19 cases in Wuhan that were treated via the integration of traditional Chinese medicine (TCM) and Western medicine. We collected electronic medical record (EMR) data, which included the full clinical profiles of patients, from a designated TCM hospital in Wuhan. The structured data of symptoms and drugs from admission notes were obtained through an information extraction process. Other key clinical entities were also confirmed and normalized to obtain information on the diagnosis, clinical treatments, laboratory tests, and outcomes of the patients. A total of 293 COVID-19 inpatient cases, including 207 moderate and 86 (29.3%) severe cases, were included in our research. Among these cases, 238 were discharged, 31 were transferred, and 24 (all severe cases) died in the hospital. Our COVID-19 cases involved elderly patients with advanced ages (57 years on average) and high comorbidity rates (61%). Our results reconfirmed several well-recognized risk factors, such as age, gender (male), and comorbidities, as well as provided novel laboratory indications (e.g., cholesterol) and TCM-specific phenotype markers (e.g., dull tongue) that were relevant to COVID-19 infections and prognosis. In addition to antiviral/antibiotics and standard supportive therapies, TCM herbal prescriptions incorporating 290 distinct herbs were used in 273 (93%) cases. The cases that received TCM treatment had lower death rates than those that did not receive TCM treatment (17/273 = 6.2% vs. 7/20= 35%, P = 0.0004 for all cases; 17/77= 22% vs. 7/9= 77.7%, P = 0.002 for severe cases). The TCM herbal prescriptions used for the treatment of COVID-19 infections mainly consisted of Pericarpium Citri Reticulatae, Radix Scutellariae, Rhizoma Pinellia, and their combinations, which reflected the practical TCM principles (e.g., clearing heat and dampening phlegm). Lastly, 59% of the patients received treatment, including antiviral, antibiotics, and Chinese patent medicine, before admission. This situation might have some effects on symptoms, such as fever and dry cough. By using EMR data, we described the clinical features and therapeutic characteristics of 293 COVID-19 cases treated via the integration of TCM herbal prescriptions and Western medicine. Clinical manifestations and treatments before admission and in the hospital were investigated. Our results preliminarily showed the potential effectiveness of TCM herbal prescriptions and their regularities in COVID-19 treatment.

Indexed as

COVID-19 Drug TreatmentMedicine, Chinese TraditionalAdultAgedAged, 80 and overChinaCombined Modality TherapyCOVID-19Drugs, Chinese HerbalFemaleHospitalizationHumansMaleMiddle AgedRetrospective StudiesSurvival RateDrugs, Chinese Herbalclinical featuresCOVID-19traditional Chinese medicine

Identifiers

PMID32926319
PMCPMC7488634
OpenAlexW3085366103

What Socratic 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 Socratic graph.