Evidence map›Paper›PMID 36968192›Full record

ArticleJournal of tropical medicine2023

Epidemiological Investigation of the 2019 Dengue Outbreak in Dhaka, Bangladesh.

Sabrina Yesmin, Shahnoor Sarmin, Alamgir Mustak Ahammad, Md Abdur Rafi, Mohammad Jahid Hasan

Open access · goldFull text read
In one paragraph

Article in Journal of tropical medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
3.8field-weighted citation impact, top 7% 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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 13 citations in OpenAlex.

  1. Epidemiological Characteristics of Dengue Infection in Bangladesh: A Systematic Review.International journal of environmental research and public health · 2026
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  6. Review
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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

5 authors at 2 institutions in 1 country.

Sabrina YesminBIRDEM General Hospital, Dhaka, Bangladesh.ORCID https://orcid.org/0000-0002-7403-6845
Shahnoor SarminDhaka Medical College, Dhaka, Bangladesh.ORCID https://orcid.org/0009-0006-8893-7544
Alamgir Mustak AhammadSherpur District Hospital, Sherpur, Bangladesh.ORCID https://orcid.org/0009-0004-9423-383X
Md Abdur RafiPi Research Consultancy Center, Dhaka, Bangladesh.ORCID https://orcid.org/0000-0002-5415-6399
Mohammad Jahid HasanPi Research Consultancy Center, Dhaka, Bangladesh.ORCID https://orcid.org/0000-0001-9212-1739
Bangladesh Institute of Research and Rehabilitation for Diabetes Endocrine and Metabolic Disorders · BDDhaka Medical College and Hospital · BD

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Bangladesh experienced its largest dengue epidemic in 2019. Our objective was to investigate the epidemiological, clinical, and laboratory characteristics of the hospital-admitted dengue patients during this epidemic. Methods: This cross-sectional study was conducted among 369 adult dengue patients admitted to two tertiary care hospitals in Dhaka, Bangladesh, from June to September 2019. The disease severity was determined according to the WHO's 2009 classification. Results: The average age of the patients was 33.3 (SD 14) years with a predominance of men. Almost 10% developed severe dengue (plasma leakage 67%, clinical bleeding 25%, and organ involvement 25%). Fever, headache, retro-orbital pain, diarrhea, and warning signs such as abdominal pain, clinical fluid accumulation, and persistent vomiting were the most common clinical presentations. Thrombocytopenia, leukopenia, elevated HCT levels, and ALT/AST were common laboratory findings. Conclusions: Severe dengue was mostly attributable to plasma leakage with warning signs, especially abdominal pain, clinical fluid accumulation, persistent vomiting, and altered hematological parameters which might assist in the early prediction of severe dengue.

Identifiers

PMID36968192
PMCPMC10036172
OpenAlexW4327557168

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read58
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.