Evidence map›Paper›PMID 38238547›Full record

ArticleMolecular psychiatry2024

Risk for diagnosis or treatment of mood or anxiety disorders in adults after SARS-CoV-2 infection, 2020-2022.

Christina X Wang, Rhea Kohli, Veronica R Olaker, Pauline Terebuh, Rong Xu, David C Kaelber, Pamela B Davis

Open access · hybridAbstract read
In one paragraph

Article in Molecular psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
3.2field-weighted citation impact, top 10% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Observational
  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

7 authors at 2 institutions in 1 country.

Christina X WangCenter for Artificial Intelligence in Drug Discovery, Case Western Reserve University School of Medicine, Cleveland, OH, USA.
Rhea KohliCenter for Artificial Intelligence in Drug Discovery, Case Western Reserve University School of Medicine, Cleveland, OH, USA.
Veronica R OlakerCenter for Artificial Intelligence in Drug Discovery, Case Western Reserve University School of Medicine, Cleveland, OH, USA.
Pauline TerebuhCenter for Community Health Integration, Case Western Reserve University School of Medicine, Cleveland, OH, USA.ORCID 0000-0002-0129-5109
Rong XuCenter for Artificial Intelligence in Drug Discovery, Case Western Reserve University School of Medicine, Cleveland, OH, USA.ORCID 0000-0003-3127-4795
David C KaelberThe Center for Clinical Informatics Research and Education and the Departments of Internal Medicine, Pediatrics, and Population and Quantitative Health Sciences, Case Western Reserve University, The MetroHealth System, Cleveland, OH, USA.
Pamela B DavisCenter for Community Health Integration, Case Western Reserve University School of Medicine, Cleveland, OH, USA. pbd@case.edu.ORCID 0000-0002-7113-5338
Case Western Reserve University · USMetroHealth Medical Center · US

Funding

Clinical and Translational Science Collaborative of ClevelandUL1TR002548 · NCATS · CASE WESTERN RESERVE UNIVERSITY · PI MCCOMSEY, GRACE A · 2018 to 2022
$35.5M
Clinical and Translational Science Collaborative of Northern Ohio, Catalyzing Linkages to Equity in Health (CLE Health)UM1TR004528 · NCATS · CASE WESTERN RESERVE UNIVERSITY · PI GRACE A MCCOMSEY · 2023 to 2026
$32.1M
Collision of Alzheimers disease and COVID-19 pandemic in the United States: risks, outcomes, disparities and treatmentsRF1AG076649 · NIA · CASE WESTERN RESERVE UNIVERSITY · PI DAVIS, PAMELA B, XU, RONG · 2022 to 2022
$2.3M
Collision of Alzheimers disease and COVID-19 pandemic in the United States: risks, outcomes, disparities and treatmentsR01AG076649 · NIA · CASE WESTERN RESERVE UNIVERSITY · PI Rong Xu · 2025 to 2026
$1.6M
Characterize multifaceted interactions between COVID-19 and alcohol use disorder based on real-time analysis of electronic health records of 62 million adult patientsR01AA029831 · NIAAA · CASE WESTERN RESERVE UNIVERSITY · PI DAVIS, PAMELA B, XU, RONG · 2021 to 2023
$1.1M
NCATS NIH HHS UL1 TR002548NCATS NIH HHS UM1 TR004528NIAAA NIH HHS R01 AA029831NIA NIH HHS R01 AG076649NIA NIH HHS RF1 AG076649U.S. Department of Health & Human Services | NIH | National Center for Advancing Translational Sciences (NCATS) UL1TR002548U.S. Department of Health & Human Services | NIH | National Institute on Aging (U.S. National Institute on Aging) R01AG076649U.S. Department of Health & Human Services | NIH | National Institute on Alcohol Abuse and Alcoholism (NIAAA) R01AA029831
6 · The paper itself

Abstract

COVID-19 is associated with increased risks for mood or anxiety disorders, but it remains uncertain how the association evolves over time or which patient groups are most affected. We conducted a retrospective cohort study using a nationwide database of electronic health records to determine the risk of depressive or anxiety disorder diagnoses after SARS-CoV-2 infection by 3-month blocks from January 2020 to April 2022. The study population comprised 822,756 patients (51.8% female; mean age 42.8 years) with COVID-19 and 2,034,353 patients with other respiratory tract infections (RTIs) (53.5% female, mean age 30.6 years). First time diagnoses of depressive or anxiety disorders 14 days to 3 months after infection, as well as new or new plus recurrent prescriptions of antidepressants or anxiolytics, were compared between propensity score matched cohorts using Kaplan-Meier survival analysis, including hazard ratio (HR) and 95% confidence interval (CI). Risk of a new diagnosis or prescription was also stratified by age, sex, and race to better characterize which groups were most affected. In the first three months of the pandemic, patients infected with SARS-CoV-2 had significantly increased risk of depression or anxiety disorder diagnosis (HR 1.65 [95% CI, 1.30-2.08]). October 2021 to January 2022 (HR, 1.12 [95% CI, 1.06-1.18]) and January to April 2022 (HR, 1.08 [95% CI, 1.01-1.14]). Similar temporal patterns were observed for antidepressant and anxiolytic prescriptions, when the control group was patients with bone fracture, when anxiety and depressive disorders were considered separately, when recurrent depressive disorder was tested, and when the test period was extended to 6 months. COVID-19 patients ≥65 years old demonstrated greatest absolute risk at the start of the pandemic (6.8%), which remained consistently higher throughout the study period (HR, 1.20 [95% CI, 1.13-1.27]), and overall, women with COVID-19 had greater risk than men (HR 1.35 [95% CI 1.30-1.40]).

Indexed as

Anti-Anxiety AgentsAntidepressive AgentsAnxiety DisordersCOVID-19SARS-CoV-2AdultAgedDepressive DisorderFemaleHumansMaleMiddle AgedMood DisordersPandemicsRetrospective StudiesRisk FactorsAnti-Anxiety AgentsAntidepressive Agents

Identifiers

PMID38238547
PMCPMC11189805
OpenAlexW4390966216

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.