Evidence map›Paper›PMID 34779847›Full record

ArticleJAMA network open2021

Mortality Risk Among Patients With COVID-19 Prescribed Selective Serotonin Reuptake Inhibitor Antidepressants.

Tomiko Oskotsky, Ivana Maric, Alice Tang, Boris Oskotsky, Ronald J Wong, Nima Aghaeepour, Marina Sirota, David K Stevenson

Open access · goldAbstract read
In one paragraph

Article in JAMA network open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 82 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
82citing papers in PubMed, 6 pooled it
8.7field-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

82 citing papers in PubMed, 6 syntheses or guidelines pooled it, 138 citations in OpenAlex.

  1. Pooled it
  2. Efficacy and safety of selective serotonin reuptake inhibitors in COVID-19 management: a systematic review and meta-analysis.Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases · 2023
    Pooled it
  3. Psychotropic drug repurposing for COVID-19: A Systematic Review and Meta-Analysis.European neuropsychopharmacology : the journal of the European College of Neuropsychopharmacology · 2023
    Pooled it
  4. Antidepressants for COVID-19: A systematic review.Journal of affective disorders · 2022
    Pooled it
  5. Pooled it
  6. Pooled it
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  13. Neuroimmune pathophysiology of long COVID.Psychiatry and clinical neurosciences · 2025
    Review
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22 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Tomiko OskotskyDepartment of Pediatrics, University of California, San Francisco.
Ivana MaricDepartment of Pediatrics, Stanford University School of Medicine, Stanford, California.
Alice TangDepartment of Pediatrics, University of California, San Francisco.
Boris OskotskyDepartment of Pediatrics, University of California, San Francisco.
Ronald J WongDepartment of Pediatrics, Stanford University School of Medicine, Stanford, California.
Nima AghaeepourDepartment of Pediatrics, Stanford University School of Medicine, Stanford, California.
Marina SirotaDepartment of Pediatrics, University of California, San Francisco.
David K StevensonDepartment of Pediatrics, Stanford University School of Medicine, Stanford, California.
Stanford University · USUniversity of California, San Francisco · US

Funding

MEDICAL SCIENTIST TRAINING PROGRAMT32GM007618 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ANDERSON, MARK S · 1985 to 2020
$29.6M
RESOURCE-BASED CENTER FOR THE ADVANCEMENT OF PRECISION MEDICINE IN RHEUMATOLOGYP30AR070155 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Mary C Nakamura · 2016 to 2026
$8.2M
Machine Learning for Integrative Modeling of the Immune System in Clinical SettingsR35GM138353 · NIGMS · STANFORD UNIVERSITY · PI AGHAEEPOUR, NIMA · 2020 to 2024
$2.2M
NIAMS NIH HHS P30 AR070155NIGMS NIH HHS R35 GM138353NIGMS NIH HHS T32 GM007618
6 · The paper itself

Abstract

Importance: Antidepressant use may be associated with reduced levels of several proinflammatory cytokines suggested to be involved with the development of severe COVID-19. An association between the use of selective serotonin reuptake inhibitors (SSRIs)-specifically fluoxetine hydrochloride and fluvoxamine maleate-with decreased mortality among patients with COVID-19 has been reported in recent studies; however, these studies had limited power due to their small size. Objective: To investigate the association of SSRIs with outcomes in patients with COVID-19 by analyzing electronic health records (EHRs). Design, Setting, and Participants: This retrospective cohort study used propensity score matching by demographic characteristics, comorbidities, and medication indication to compare SSRI-treated patients with matched control patients not treated with SSRIs within a large EHR database representing a diverse population of 83 584 patients diagnosed with COVID-19 from January to September 2020 and with a duration of follow-up of as long as 8 months in 87 health care centers across the US. Exposures: Selective serotonin reuptake inhibitors and specifically (1) fluoxetine, (2) fluoxetine or fluvoxamine, and (3) other SSRIs (ie, not fluoxetine or fluvoxamine). Main Outcomes and Measures: Death. Results: A total of 3401 adult patients with COVID-19 prescribed SSRIs (2033 women [59.8%]; mean [SD] age, 63.8 [18.1] years) were identified, with 470 receiving fluoxetine only (280 women [59.6%]; mean [SD] age, 58.5 [18.1] years), 481 receiving fluoxetine or fluvoxamine (285 women [59.3%]; mean [SD] age, 58.7 [18.0] years), and 2898 receiving other SSRIs (1733 women [59.8%]; mean [SD] age, 64.7 [18.0] years) within a defined time frame. When compared with matched untreated control patients, relative risk (RR) of mortality was reduced among patients prescribed any SSRI (497 of 3401 [14.6%] vs 1130 of 6802 [16.6%]; RR, 0.92 [95% CI, 0.85-0.99]; adjusted P = .03); fluoxetine (46 of 470 [9.8%] vs 937 of 7050 [13.3%]; RR, 0.72 [95% CI, 0.54-0.97]; adjusted P = .03); and fluoxetine or fluvoxamine (48 of 481 [10.0%] vs 956 of 7215 [13.3%]; RR, 0.74 [95% CI, 0.55-0.99]; adjusted P = .04). The association between receiving any SSRI that is not fluoxetine or fluvoxamine and risk of death was not statistically significant (447 of 2898 [15.4%] vs 1474 of 8694 [17.0%]; RR, 0.92 [95% CI, 0.84-1.00]; adjusted P = .06). Conclusions and Relevance: These results support evidence that SSRIs may be associated with reduced severity of COVID-19 reflected in the reduced RR of mortality. Further research and randomized clinical trials are needed to elucidate the effect of SSRIs generally, or more specifically of fluoxetine and fluvoxamine, on the severity of COVID-19 outcomes.

Indexed as

Antidepressive AgentsFluoxetineFluvoxamineSelective Serotonin Reuptake InhibitorsSeverity of Illness IndexAdultAgedCitalopramCOVID-19CytokinesFemaleHumansMaleMiddle AgedPrescription DrugsRetrospective StudiesAntidepressive AgentsCitalopramCytokinesFluoxetineFluvoxaminePrescription DrugsSelective Serotonin Reuptake InhibitorsSertraline

Identifiers

PMID34779847
PMCPMC8593759
OpenAlexW3211452561

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.