Evidence map›Paper›PMID 35018047›Full record

ArticleJournal of pharmacy & bioallied sciences2021

Survey of Stress in COVID Patient Post Treatment: A Qualitative Research.

Neeraj Kancherla, Sameer Krishna Prasad Garlapati, Yeswanth Kumar Raparla, Maria Jamil, Javairia Jamil, Sai Mahitha Mannava

Open access · goldAbstract read
In one paragraph

Article in Journal of pharmacy & bioallied 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
0.1field-weighted citation impact, top 49% 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, 1 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

6 authors at 3 institutions in 2 countries.

Neeraj KancherlaMBBS Interns, King George Hospital, Visakhapatnam, Andhra Pradesh, India.
Sameer Krishna Prasad GarlapatiMBBS Interns, King George Hospital, Visakhapatnam, Andhra Pradesh, India.
Yeswanth Kumar RaparlaMBBS Interns, King George Hospital, Visakhapatnam, Andhra Pradesh, India.
Maria JamilIntern, Tawam Hospital, Gulf Medical University, Al Jurf, Ajman, United Arab Emirates.
Javairia JamilSheikh Shakhbout Medical Center (SSMC), Gulf medical University, Al Jurf, Ajman, United Arab Emirates.
Sai Mahitha MannavaKamineni Institute of Medical Sciences, Narketpally, Nalgonda District, Telangana, India.
Gulf Medical University · AESheikh Shakhbout Medical City · AETawam Hospital · AE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimThe purpose of our study was to examine the mental health status of patients with coronavirus disease-19 (COVID-19) who were hospitalized. METHODOLOGY: In this cross-sectional study, 106 inpatients with COVID-19 who had stable clinical conditions were evaluated psychologically by questionnaire: Depression, anxiety, and stress scales-21 (DASS-21).

resultsAbout one-third of patients had comorbidities. In totality, 97.2% of patients with COVID-19 had some grade of depression. Extent of depression, assessed with the help of the DASS questionnaire, was 85.8%. All patients (100%) had serious (0.9%) and grave level of (99.1%) anxiety. Regarding to stress levels, 97.1% of patients had some degree of stress. In the worsening of stress category, 84.9% of patients had high-stress levels.

conclusionThe presence of such increased prevalence and seriousness of psychiatric disorders among hospitalized patients with COVID-19 underlines the necessity for serious consideration to the mental health standing of these patients.

Indexed as

Anxietycoronavirus disease-19depressionmanagementstress

Identifiers

PMID35018047
PMCPMC8686895
OpenAlexW3213878041

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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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.