Evidence map›Paper›PMID 31942503›Full record

ArticleAging medicine (Milton (N.S.W))2018

Multimorbidity among elderly in Bangladesh.

Hasna Hena Sara, Muhammad Abdul Baker Chowdhury, Md Aminul Haque

Open access · diamondAbstract read
In one paragraph

Article in Aging medicine (Milton (N.S.W)), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 23% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.

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  17. Multimorbidity among elderly in Bangladesh.Aging medicine (Milton (N.S.W)) · 2018
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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

3 authors at 2 institutions in 2 countries.

Hasna Hena SaraDepartment of Population Sciences University of Dhaka Dhaka Bangladesh.ORCID 0000-0002-2739-5423
Muhammad Abdul Baker ChowdhuryDepartment of Emergency Medicine University of Florida Gainesville Florida.ORCID 0000-0002-2145-0938
Md Aminul HaqueDepartment of Population Sciences University of Dhaka Dhaka Bangladesh.ORCID 0000-0002-9919-5404
University of Dhaka · BDUniversity of Florida Health · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMultimorbidity among the elderly is a major public health problem in most of the developing countries, including Bangladesh, where the population is moving towards aging.

objectiveThe objectives of this study were to estimate the prevalence of multimorbidity among hospitalized elderly.

methodsA cross-sectional study was conducted in two tertiary level hospitals with a sample of 566 adults aged 60 years or more. Data were collected from medical examination reports at the hospital and using a semi-structured interview schedule through an in-person interview. Descriptive statistics were used to measure the prevalence of multimorbidity.

resultsThe overall prevalence of multimorbidity among the elderly was 56.4% and the prevalence was higher among females (64.18%) than males (54.17%). The most prevalent conditions were hypertension (33.0%), diabetes (27.6%), ischemic heart disease (12.0%), and chronic obstructive pulmonary disease (9%).

conclusionA high prevalence of multimorbidity suggests that there is an urgent need to develop geriatric health-care services. Policymakers should pay attention to developing effective intervention strategies and programs to reduce the burden of multimorbidity.

Indexed as

Bangladeshelderlymultimorbiditypatternprevalence

Identifiers

PMID31942503
PMCPMC6880734
OpenAlexW2902694324

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.