Evidence map›Paper›PMID 32324898›Full record

Trial reportClinical pharmacology and therapeutics2020

Incidence of Adverse Drug Reactions in COVID-19 Patients in China: An Active Monitoring Study by Hospital Pharmacovigilance System.

Ji Sun, Xuanyu Deng, Xiaoping Chen, Juanjuan Huang, Siqiong Huang, Yanfei Li, Jinhui Feng, Jiyang Liu, Gefei He

Open access · bronzeAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Clinical pharmacology and therapeutics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed, 7 pooled it
14.1field-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

62 citing papers in PubMed, 7 syntheses or guidelines pooled it, 105 citations in OpenAlex.

  1. Antibiotic prescribing in patients with COVID-19: rapid review and meta-analysis.Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases · 2021
    Pooled it
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  4. Guideline
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  7. Polypharmacy among COVID-19 patients: A systematic review.Journal of the American Pharmacists Association : JAPhA
    Pooled it
  8. Observational
  9. Article
  10. Article
  11. Pathogenic mechanisms of cardiovascular damage in COVID-19.Molecular medicine (Cambridge, Mass.) · 2024
    Review
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2 more citing papers are in PubMed but not listed here.

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

9 authors at 2 institutions in 1 country.

Ji SunThe First Hospital of Changsha, Changsha, China.
Xuanyu DengThe First Hospital of Changsha, Changsha, China.
Xiaoping ChenDepartment of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Juanjuan HuangThe First Hospital of Changsha, Changsha, China.
Siqiong HuangThe First Hospital of Changsha, Changsha, China.
Yanfei LiThe First Hospital of Changsha, Changsha, China.
Jinhui FengThe First Hospital of Changsha, Changsha, China.
Jiyang LiuThe First Hospital of Changsha, Changsha, China.
Gefei HeThe First Hospital of Changsha, Changsha, China.
The First Hospital of Changsha · CNXiangya Hospital Central South University · CN

Funding

Hunan Health Commission 20200202Hunan Provincial Science and Technology Major Project 2020SK3014Natural Science Foundation of Hunan Province 2017JJ2285
6 · The paper itself

Abstract

To evaluate the incidence, type, and risk factors associated with adverse drug reactions (ADRs) among patients with coronavirus disease 2019 (COVID-19) by Hospital Pharmacovigilance System (CHPS). A retrospective analysis was performed on 217 patients with COVID-19 admitted to the First Hospital of Changsha in China, from January 17, 2020, to February 29, 2020. The active monitoring model in CHPS was used to detect ADR signals of the hospital information system. The risk factors for the ADRs were classified using the World Health Organization-Uppsala Monitoring Centre (WHO-UMC) system. Univariate and multivariate logistic regressions were carried out to analyze the risk factors of ADRs. Our results showed that the prevalence of ADRs was 37.8% in the patients, which was predominated by drug-induced gastrointestinal disorders and liver system disorders (23.0% vs. 13.8%). The ADR could be explained by the use of lopinavir/ ritonavir and umifenovir by 63.8% and 18.1%, respectively. There were 96.8% of ADRs that occurred within 14 days of hospitalization. Multivariable analysis showed that length of stay (odds ratio (OR): 2.02; 95% confidence interval (CI) 1.03-3.96; P = 0.04), number of drugs used in the hospital (OR: 3.17; 95% CI 1.60-6.27; P = 0.001) and underlying basic diseases (OR: 2.07; 95% CI 1.02-4.23; P = 0.04) were independent risk factor for ADRs in the patients. Together, the incidence of ADRs was significantly high during the treatment period. Moreover, the active monitoring of the CHPS system reflected ADRs during COVID-19 treatment in the real world, which provided reference for safe medication in the clinic.

Indexed as

BetacoronavirusPharmacovigilanceAdolescentAdultAgedAged, 80 and overAntiviral AgentsChildChild, PreschoolChinaCoronavirus InfectionsCOVID-19Drug-Related Side Effects and Adverse ReactionsFemaleHumansIncidenceAntiviral Agents

Identifiers

PMID32324898
PMCPMC7264575
OpenAlexW3020473828

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.