Evidence map›Paper›PMID 42325595›Full record

ArticlePublic health challenges2026

Optimizing Cardiac Inpatient Flow and Resource Allocation in Low-Resource Settings Using Queuing Theory: Insights From a Tertiary Hospital in Bangladesh.

Md Borhan Uddin, Khalidur Rahman, Md Asaduzzaman, Sabbir Tahmidur Rahman, Md Sabbir Hossain, Md Shihab Mostafa

Abstract read
In one paragraph

Article in Public health challenges, 2026. 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
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.

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.

Md Borhan UddinDepartment of Statistics Shahjalal University of Science and Technology Sylhet Bangladesh.
Khalidur RahmanDepartment of Statistics Shahjalal University of Science and Technology Sylhet Bangladesh.ORCID https://orcid.org/0000-0002-2899-804X
Md AsaduzzamanDepartment of Medicine Sylhet MAG Osmani Medical College Hospital Sylhet Bangladesh.
Sabbir Tahmidur RahmanDepartment of Statistics Shahjalal University of Science and Technology Sylhet Bangladesh.
Md Sabbir HossainDepartment of Statistics Shahjalal University of Science and Technology Sylhet Bangladesh.
Md Shihab MostafaDepartment of Statistics Shahjalal University of Science and Technology Sylhet Bangladesh.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Healthcare systems in low-resource settings face persistent challenges in providing timely cardiac care. This study applies queuing theory models (

Indexed as

cardiac carehospital managementinpatient flow optimizationlow‐resource settingsqueuing theoryresource allocation

Identifiers

PMID42325595
PMCPMC13281164

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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.