Evidence map›Paper›PMID 37256206›Full record

ArticleThe Lancet regional health. Western Pacific2023

Relationship between antidepressants and severity of SARS-CoV-2 Omicron infection: a retrospective cohort study using real-world data.

Huwen Wang, Yuchen Wei, Chi Tim Hung, Xiaoting Jiang, Conglu Li, Katherine Min Jia, Eman Yee Man Leung, Carrie Ho Kwan Yam, Tsz Yu Chow, Shi Zhao and 5 more

Open access · goldAbstract read
In one paragraph

Article in The Lancet regional health. Western Pacific, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
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 2 institutions in 2 countries.

Huwen WangSchool of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China.
Yuchen WeiSchool of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China.
Chi Tim HungSchool of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China.
Xiaoting JiangSchool of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China.
Conglu LiSchool of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China.
Katherine Min JiaCenter for Communicable Disease Dynamics, Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States.
Eman Yee Man LeungSchool of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China.
Carrie Ho Kwan YamSchool of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China.
Tsz Yu ChowSchool of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China.
Shi ZhaoSchool of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China.
Zihao GuoSchool of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China.
Kehang LiSchool of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China.
Ziqing WangSchool of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China.
Eng Kiong YeohSchool of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China.
Ka Chun ChongSchool of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China.
Chinese University of Hong Kong · HKCenter for Disease Dynamics, Economics & Policy · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Few studies have used real-world data to evaluate the impact of antidepressant use on the risk of developing severe outcomes after SARS-CoV-2 Omicron infection. Methods: This is a retrospective cohort study using propensity-score matching to examine the relationship between antidepressant use and COVID-19 severity. Inpatient and medication records of all adult COVID-19 patients in Hong Kong during the Omicron-predominated period were obtained. Severe clinical outcomes including intensive care unit admission and inpatient death after the first positive results of reverse transcription polymerase chain reaction as well as a composite outcome of both were studied. Cox proportional hazard models were applied to estimate the crude and adjusted hazard ratios (HR). Findings: Of 60,903 hospitalised COVID-19 patients admitted, 40,459 were included for matching, among which 3821 (9.4%) were prescribed antidepressants. The rates of intensive care unit admission, inpatient death, and the composite event were 3.9%, 25.5%, and 28.3% respectively in the unexposed group, 1.3%, 20.0%, and 21.1% respectively in the exposed group, with adjusted HR equal to 0.332 (95% CI, 0.245-0.449), 0.868 (95% CI, 0.800-0.942), and 0.786 (95% CI, 0.727-0.850) respectively. The result was generally consistent when stratified by selective serotonin reuptake inhibitors (SSRIs) and non-SSRIs. Antidepressants with functional inhibition of acid sphingomyelinase activity, specifically fluoxetine, were also negatively associated with the outcomes. The effect of antidepressants was more apparent in female and fully vaccinated COVID-19 patients. Interpretation: Antidepressant use was associated with a lower risk of severe COVID-19. The findings support the continuation of antidepressants in patients with COVID-19, and provide evidence for the treatment potential of antidepressants for severe COVID-19. Funding: This research was supported by Health and Medical Research Fund [grant numbers COVID190105, COVID19F03, INF-CUHK-1], Collaborative Research Fund of University Grants Committee [grant numbers C4139-20G], National Natural Science Foundation of China (NSFC) [71974165], and Group Research Scheme from The Chinese University of Hong Kong.

Indexed as

FIASMAPropensity-score matchingReal-world dataSSRI

Identifiers

PMID37256206
PMCPMC9970034
OpenAlexW4322489524

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.