Evidence map›Paper›PMID 38478468›Full record

ArticlePloS one2024

Response to anxiety treatment before, during, and after the COVID-19 pandemic.

David H Rosmarin, Steven Pirutinsky

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2024. 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, top 96% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

2 authors at 2 institutions in 1 country.

David H RosmarinMcLean Hospital/Harvard Medical School, Belmont, MA, United States of America.ORCID 0000-0002-0146-7716
Steven PirutinskyCenter for Anxiety, New York, NY, United States of America.
Harvard University · USTouro College · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe COVID-19 pandemic yielded a substantial increase in worldwide prevalence and severity of anxiety, but less is known about effects on anxiety treatment.

objectiveWe evaluated effects of the COVID-19 pandemic on responses to Cognitive Behavioral Therapy for anxiety, in a clinically heterogeneous sample of patients.

methodsA sample of 764 outpatients were separated into four groups: (1) Pre-pandemic (start date on or prior to 12/31/2019), (2) Pandemic-Onset (start date from 01/01/2020 to 03/31/2020), (3) During-Pandemic (start date from 04/01/2020 through 12/31/2020), and (4) Post-Pandemic (start date on or after 01/01/2021). We subsequently compared treatment trajectories and effects within and between these groups over 5621 total time points (mean of 7.38 measurements per patient).

resultsOverall, patients presented with moderate levels of anxiety (M = 13.25, 95%CI: 12.87, 13.62), which rapidly decreased for 25 days (M = 9.46, 95%CI: 9.09, 9.83), and thereafter slowly declined into the mild symptom range over the remainder of the study period (M = 7.36, 95%CI: 6.81, 7.91), representing clinically as well as statistically significant change. A series of conditional multilevel regression models indicated that there were no substantive differences between groups, and no increase in anxiety during the acute pandemic phase.

conclusionsOur results suggest that responses to treatment for anxiety were equivalent before, during, and after the COVID-19 pandemic. Among patients who were in treatment prior to the pandemic, we failed to detect an increase in anxiety during the pandemic's acute phase (March 20th, 2020 through July 1st, 2020).

Indexed as

COVID-19PandemicsAnxietyAnxiety DisordersHumansOutpatients

Identifiers

PMID38478468
PMCPMC10936764
OpenAlexW4392747463

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Registered trials

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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.