ArticlePLoS neglected tropical diseases2026
Clinical and haematological correlates of severe dengue using 2023 epidemic data: A multicentre tertiary hospital-based analysis from Dhaka, Bangladesh.
Article in PLoS neglected tropical diseases, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDengue fever, caused by the dengue virus (DENV), remains a major public health threat in tropical and subtropical regions. Bangladesh recoded its largest dengue outbreak in 2023. Understanding factors associated with dengue severity is essential to improve clinical triage and outcome.
methodsWe conducted a hospital-based study of 466 laboratory-confirmed dengue cases admitted to four tertiary hospitals in Dhaka during the peak epidemic period (September 1 to October 31, 2023). Demographic, clinical, and laboratory data were collected using a semi-structured questionnaire. Cases were categorized based on severity, and multivariable models were used to identify factors associated with severe dengue.
resultsSevere dengue was independently associated with older age (adjusted OR [aOR] 2.381, 95% confidence interval [CI] 2.378-2.385) and higher pulse rate (aOR 1.035, 95% CI 1.034-1.037). After adjustment, higher BMI showed a protective association with severe dengue (aOR 0.094, 95% CI 0.094-0.094,). Higher platelet count (aOR 0.834, 95% CI 0.832-0.835), hematocrit (aOR 0.010, 95% CI 0.010-0.010), white blood cell (WBC) count (aOR 0.594, 95% CI 0.593-0.595), and body temperature (aOR 0.543, 95% CI 0.542-0.544) were also associated with reduced odds of severe outcomes. Delays in seeking care were associated with increased severity (p = 0.007). Symptom-based markers, such as abdominal pain (p < 0.001) and respiratory distress (p = 0.013), were strong predictors of severe dengue.
conclusionsRisk of severe dengue was driven by demographic and clinical features, and was exacerbated by delayed presentation. The observed association involving BMI warrants further study. These findings may support targeted, timely clinical management during outbreaks.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.