Evidence map›Paper›PMID 33821286›Full record

ArticlemedRxiv : the preprint server for health sciences2021

Comparison of post-COVID depression and major depressive disorder.

Roy H Perlis, Mauricio Santillana, Katherine Ognyanova, Jon Green, James Druckman, David Lazer, Matthew A Baum

Open access · greenAbstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed, 13 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 6 institutions in 1 country.

Roy H PerlisMassachusetts General Hospital, Boston, MA.
Mauricio SantillanaHarvard Medical School, Boston, MA.
Katherine OgnyanovaRutgers University, New Brunswick, NJ.
Jon GreenNortheastern University, Boston, MA.
James DruckmanNorthwestern University, Evanston, IL.
David LazerNortheastern University, Boston, MA.
Matthew A BaumHarvard University, Cambridge, MA.
Northeastern University · USBoston Children's Hospital · USHarvard University · USHarvard University Press · USNorthwestern University · USRutgers, The State University of New Jersey · US

Funding

1/2 Leveraging electronic health records for pharmacogenomics of psychiatric disordersR01MH116270 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI PERLIS, ROY H. · 2019 to 2022
$1.7M
Machine learning for data-driven subtyping of major depressionR56MH115187 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI PERLIS, ROY H. · 2018 to 2018
$596k
NIMH NIH HHS R01 MH116270NIMH NIH HHS R56 MH115187
6 · The paper itself

Abstract

backgroundDuring the COVID-19 pandemic rates of depressive symptoms are markedly elevated, particularly among survivors of infection. Understanding whether such symptoms are distinct among those with prior SARS-CoV-2 infection, or simply a nonspecific reflection of elevated stress, could help target interventions.

methodWe analyzed data from multiple waves of a 50-state survey that included questions about COVID-19 infection as well as the Patient Health Questionnaire examining depressive and anxious symptoms. We utilized multiple logistic regression to examine whether sociodemographic features associated with depression liability differed for those with or without prior COVID-19, and then whether depressive symptoms differed among those with or without prior COVID-19.

resultsAmong 91,791 respondents, in regression models, age, gender, race, education, and income all exhibited an interaction with prior COVID-19 in risk for moderate or greater depressive symptoms (p<0.0001 in all cases), indicating differential risk in the two subgroups. Among those with such symptoms, levels of motoric symptoms and suicidality were significantly greater among those with prior COVID-19 illness. Depression risk increased with greater interval following acute infection. DISCUSSION: Our results suggest that major depressive symptoms observed among individuals with prior COVID-19 illness may not reflect typical depressive episodes, and merit more focused neurobiological investigation.

Identifiers

PMID33821286
PMCPMC8020988
OpenAlexW3141426675

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.