Evidence map›Paper›PMID 40047332›Full record

SynthesisJournal of clinical hypertension (Greenwich, Conn.)2025

Prevalence of Undiagnosed Hypertension in Bangladesh: A Systematic Review and Meta-Analysis.

Nourin Sultana, Zeba Afia, Shamsuz Zoha, Md Parvez Mosharaf, Md Golam Hossain, Md Kaderi Kibria

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Journal of clinical hypertension (Greenwich, Conn.), 2025. 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.

Nourin SultanaDepartment of Statistics, Hajee Mohammad Danesh Science and Technology University, Bangladesh.
Zeba AfiaDepartment of Statistics, Hajee Mohammad Danesh Science and Technology University, Bangladesh.
Shamsuz ZohaDepartment of Statistics, Hajee Mohammad Danesh Science and Technology University, Bangladesh.
Md Parvez MosharafSchool of Business, Faculty of Business, Education, Law and Arts, University of Southern Queensland, Toowoomba, Queensland, Australia.ORCID 0000-0002-6502-0614
Md Golam HossainHealth Research Group, Department of Statistics, University of Rajshahi, Rajshahi-6205, Bangladesh.ORCID 0000-0002-3822-5489
Md Kaderi KibriaDepartment of Statistics, Hajee Mohammad Danesh Science and Technology University, Bangladesh.ORCID 0000-0002-3189-7012

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Undiagnosed hypertension (UHTN) remains a significant public health concern in Bangladesh, leading to severe complications due to delayed diagnosis and management. This systematic review and meta-analysis examined the prevalence of UHTN among adults aged 18 years and older, using data from studies conducted in Bangladesh and published between 2010 and 2024. A comprehensive search of major databases yielded 1028 records, from which nine relevant studies, encompassing a total of 28949 participants, were selected and evaluated for quality using the Newcastle-Ottawa Scale, providing valuable insights into the prevalence of UHTN within the Bangladeshi population. The pooled prevalence of UHTN was 11% (95% CI: 6%-19%) based on a random-effects model, with substantial heterogeneity (I

Indexed as

HypertensionUndiagnosed DiseasesAdultBangladeshFemaleHumansMaleMass ScreeningMiddle AgedPrevalenceRisk FactorsRural PopulationUrban PopulationBangladeshmeta‐analysispublication biasrandom‐effects modelsystemic reviewundiagnosed hypertension

Identifiers

PMID40047332
PMCPMC11883659

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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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 Socratic graph.