Evidence map›Paper›PMID 36158499›Full record

ArticleWorld journal of clinical cases2022

Predictors of long-term anxiety and depression in discharged COVID-19 patients: A follow-up study.

Rabia Kevser Boyraz, Ebru Şahan, Muhammed Emin Boylu, İsmet Kırpınar

Abstract read
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Article in World journal of clinical cases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Rabia Kevser BoyrazDepartment of Psychiatry, Basaksehir Cam and Sakura Research and Training Hospital, Istanbul 34480, Turkey. rabiasancili@yahoo.com.
Ebru ŞahanDepartment of Psychiatry, Marmara University, İstanbul 34854, Turkey.
Muhammed Emin BoyluDepartment of Psychiatry, Bezmialem Vakıf University, İstanbul 34093, Turkey.
İsmet KırpınarDepartment of Psychiatry, Bezmialem Vakıf University, İstanbul 34093, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatients who were hospitalized for coronavirus disease 2019 (COVID-19) faced an extremely stressful experience that challenged their mental health and the long-term effects are not definitely known yet.

aimTo identify both the course of mental symptoms (anxiety and depressive symptoms) and the related risk factors of recovered patients at the 20-22 mo follow-up.

methodsOne hundred and seventy-two patients were enrolled. The patients were evaluated with a telepsychiatry interview and the Hospital Anxiety and Depression Scale (HADS). Sociodemographic and clinical features were analyzed by regression analysis.

resultsThe mean HADS-Anxiety (HADS-A) score was 9.08 ± 4.90, and the mean HADS-Depression (HADS-D) score was 8.55 ± 4.39. The mean HADS-A (

conclusionTo prevent the deterioration of mental health, psychiatrists should play an active role in identifying emerging mental problems as soon as possible, more vulnerable groups should be characterized, and psychological support should be sustained after discharge.

Indexed as

Anxiety disordersCoronavirusDepressive disordersPsychiatryTele medicine

Identifiers

PMID36158499
PMCPMC9372842

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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.