Evidence map›Paper›PMID 40641722›Full record

ArticleSultan Qaboos University medical journal2025

Dengue Fever:

Khalfan Al Zeedy, Sheikha Al Shibli, Jawahar H Al Noumani, Mohammed Al Azri, Abdullah Al Alawi

Abstract read
In one paragraph

Article in Sultan Qaboos University medical journal, 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
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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

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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

5 authors.

Khalfan Al ZeedyDepartment of Medicine, Sultan Qaboos University Hospital, University Medical City, Muscat, Oman.
Sheikha Al ShibliCollege of Medicine and Health Science, Sultan Qaboos University, Muscat, Oman.
Jawahar H Al NoumaniDepartment of Medicine, Sultan Qaboos University Hospital, University Medical City, Muscat, Oman.
Mohammed Al AzriCollege of Medicine and Health Science, Sultan Qaboos University, Muscat, Oman.
Abdullah Al AlawiDepartment of Medicine, Sultan Qaboos University Hospital, University Medical City, Muscat, Oman.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: This study aimed to assess the mortality rate and related factors in dengue fever (DF) patients. Additionally, it will outline the clinical and biochemical characteristics and treatments administered to confirmed cases. Methods: This retrospective cross-sectional study included DF patients who presented to Sultan Qaboos University Hospital between January 2022 and July 2023. Data were extracted from the hospital's electronic system into a pre-designed Excel data collection sheet and analysed. Results: The study identified 319 confirmed DF cases with male predominance. The overall mortality rate was 3.8% (n = 12). Mortality was significantly higher among those with ischaemic heart disease (41.7%; n = 5), chronic kidney disease (25%; n = 3) and those on aspirin (25%; n = 3). Patients presenting with fever, headache, arthralgia and body aches, along with multi-organ involvement, exhibited confusion, lower platelet counts, abnormalities in haematocrit and haemoglobin levels, as well as deranged liver and renal function. Backward stepwise multivariate regression analysis showed that the use of antibiotics (odds ratio [OR] = 6.644, 95% confidence interval [CI]: 1.202-36.742; Conclusions: This study identified a mortality rate of 3.8% among patients with DF. Elevated bilirubin levels and antibiotic use during hospitalisation are independent predictors of mortality. Therefore, it is recommended that such patients be closely monitored for potential signs, symptoms and biochemical changes to reduce the risk of mortality.

Indexed as

DengueAdultAgedCross-Sectional StudiesFemaleHumansMaleMiddle AgedRetrospective StudiesTertiary Care CentersDengue FeverIn-Hospital MortalityMortalityOmanPrevalence

Identifiers

PMID40641722
PMCPMC12240028

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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.