Evidence map›Paper›PMID 37965507›Full record

ArticleFrontiers in public health2023

Prevalence and impact of long COVID-19 among patients with diabetes and cardiovascular diseases in Bangladesh.

Nadim Sharif, Nazmul Sharif, Afsana Khan, Ibrahim F Halawani, Fuad M Alzahrani, Khalid J Alzahrani, Isabel De la Torre Díez, Debora Libertad Ramírez Vargas, Angel Gabriel Kuc Castilla, Anowar Khasru Parvez and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 22% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Observational
  4. Review
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

11 authors at 5 institutions in 4 countries.

Nadim SharifDepartment of Microbiology, Jahangirnagar University, Savar, Bangladesh.
Nazmul SharifDepartment of Mathematics, Rajshahi University of Engineering & Technology, Rajshahi, Bangladesh.
Afsana KhanDepartment of Statistics, Jahangirnagar University, Savar, Bangladesh.
Ibrahim F HalawaniDepartment of Clinical Laboratories Sciences, College of Applied Medical Sciences, Taif University, Taif, Saudi Arabia.
Fuad M AlzahraniDepartment of Clinical Laboratories Sciences, College of Applied Medical Sciences, Taif University, Taif, Saudi Arabia.
Khalid J AlzahraniDepartment of Clinical Laboratories Sciences, College of Applied Medical Sciences, Taif University, Taif, Saudi Arabia.
Isabel De la Torre DíezUniversity of Valladolid, Valladolid, Spain.
Debora Libertad Ramírez VargasUniversidad Internacional Iberoamericana, Campeche, Mexico.
Angel Gabriel Kuc CastillaUniversidad Internacional Iberoamericana, Campeche, Mexico.
Anowar Khasru ParvezDepartment of Microbiology, Jahangirnagar University, Savar, Bangladesh.
Shuvra Kanti DeyDepartment of Microbiology, Jahangirnagar University, Savar, Bangladesh.
Rajshahi University of Engineering and Technology · BDTaif University · SAIbero American University · MXJahangirnagar University · BDUniversidad de Valladolid · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Co-prevalence of long-COVID-19, cardiovascular diseases and diabetes is one of the major health challenges of the pandemic worldwide. Studies on long-COVID-19 and associated health outcomes are absent in Bangladesh. The main aim of this study was to determine the prevalence and impact of long-COVID-19 on preexisting diabetes and cardiovascular diseases (CVD) on health outcomes among patients in Bangladesh. Methods: We collected data from 3,250 participants in Bangladesh, retrospectively. Multivariable logistic regression model was used to determine the odds ratio between independent and dependent variables. Kaplan-Meier survival curve was used to determine the cumulative survival. Results: COVID-19 was detected among 73.4% (2,385 of 3,250) participants. Acute long-COVID-19 was detected among 28.4% (678 of 2,385) and chronic long-COVID-19 among 71.6% (1,707 of 2,385) patients. CVD and diabetes were found among 32%, and 24% patients, respectively. Mortality rate was 18% (585 of 3,250) among the participants. Co-prevalence of CVD, diabetes and COVID-19 was involved in majority of fatality (95%). Fever (97%), dry cough (87%) and loss of taste and smell (85%) were the most prevalent symptoms. Patients with co-prevalence of CVD, diabetes and COVID-19 had higher risk of fatality (OR: 3.65, 95% CI, 2.79-4.24). Co-prevalence of CVD, diabetes and chronic long-COVID-19 were detected among 11.9% patients. Discussion: Risk of hospitalization and fatality reduced significantly among the vaccinated. This is one of the early studies on long-COVID-19 in Bangladesh.

Indexed as

Cardiovascular DiseasesCOVID-19Diabetes MellitusBangladeshChronic DiseaseHumansPost-Acute COVID-19 SyndromePrevalenceRetrospective StudiesRisk FactorsBangladeshcardiovascular diseasecomorbiditydiabeteslong-COVID-19

Identifiers

PMID37965507
PMCPMC10641795
OpenAlexW4388177996

What OpenQuestion holds

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LicenceCC BY
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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.