Evidence map›Paper›PMID 36504697›Full record

ArticleFrontiers in rehabilitation sciences2022

Post-COVID-19 complications in home and hospital-based care: A study from Dhaka city, Bangladesh.

Salamat Khandker, Aivee Akther, Billal H Syed, Rezoun Shafiullah, Kawsar Ahmed, Alauddin A Chowdhury, Salim Khan

Open access · goldAbstract read
In one paragraph

Article in Frontiers in rehabilitation sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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 3 institutions in 3 countries.

Salamat KhandkerDepartment of Public Health, Daffodil International University, Dhaka, Bangladesh.
Aivee AktherDepartment of Public Health, Daffodil International University, Dhaka, Bangladesh.
Billal H SyedDepartment of Public Health, Daffodil International University, Dhaka, Bangladesh.
Rezoun ShafiullahDepartment of Public Health, Daffodil International University, Dhaka, Bangladesh.
Kawsar AhmedSchool of Mathematics & Statistics, Central South University, Changsha, China.
Alauddin A ChowdhuryDepartment of Public Health, Daffodil International University, Dhaka, Bangladesh.
Salim KhanHead, Department of Public Health, Birmingham City University, Birmingham, United Kingdom.
Daffodil International University · BDBirmingham City University · GBCentral South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A cross-sectional survey was undertaken to understand the management patterns and post-COVID-19 complications among hospital and home-treated participants. Retrospective information was collected from four COVID-19 dedicated hospitals and four selected community settings. Using probability proportional sampling, 925 participants were selected. Data were collected using a semi-structured questionnaire. Bivariate and multivariate logistic regression analysis and the exact chi-square tests were utilized to analyze the association between the studied variables. A total of 659 participants responded (response rate 70.93%); 375 from hospitals and 284 from communities. About 80% of participants were mild cases, 75% were treated at home, and 65% of hospital-treated participants were referred after home treatment. Participants treated at home-to hospital and directly in the hospital had 1.64 and 3.38 times longer recovery time respectively than what home-based participants had. A significant increasing trend (

Indexed as

BangladeshCOVID-19 complicationshome treatmenthospital

Identifiers

PMID36504697
PMCPMC9731105
OpenAlexW4309866957

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.