Evidence map›Paper›PMID 41013386›Full record

Observational studyBMC infectious diseases2025

Role of biomarkers in predicting mortality in patients with flaviviral disease endemic to South India: a retrospective observational study.

Nitin Gupta, Pothumarthy Venkata Swathi Kiran, Mohammad Khalid, Tirlangi Praveen Kumar, Prithvishree Ravindra, Rachana Bhat

Abstract readObservational Study
In one paragraph

Observational study in BMC infectious diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Nitin GuptaDepartment of Infectious Diseases, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, India.
Pothumarthy Venkata Swathi KiranDepartment of Infectious Diseases, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, India.
Mohammad KhalidDepartment of Emergency Medicine, Kasturba Medical College, Manipal,Manipal Academy of Higher Education, Manipal, India.
Tirlangi Praveen KumarDepartment of Infectious Diseases, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, India.
Prithvishree RavindraDepartment of Emergency Medicine, Kasturba Medical College, Manipal,Manipal Academy of Higher Education, Manipal, India.
Rachana BhatDepartment of Emergency Medicine, Kasturba Medical College, Manipal,Manipal Academy of Higher Education, Manipal, India. Rachana.kmc@manipal.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFlaviviral infections such as dengue and Kyasanur Forest Disease (KFD) are endemic causes of acute febrile illness in South India, with some cases progressing to severe disease and death.

methodsWe conducted a retrospective observational study at a tertiary care centre from June 2023 to June 2024, enrolling 107 adults diagnosed with dengue (NS1/IgM positive) or KFD (Polymerase chain reaction assay-confirmed). Clinical and biomarker data, including haematological, hepatic, renal, inflammatory, and endothelial parameters, were analysed to find differences between the two diseases and identify predictors of 28-day mortality.

resultsEleven patients (10.3%) died within 28 days. KFD patients were older and had higher adrenomedullin and transaminase levels. Dengue cases showed higher SOFA scores and more severe thrombocytopenia. Mortality was associated with elevated coagulation markers, serum creatinine, procalcitonin, and adrenomedullin. Aspartate aminotransferase was more frequently elevated in non-survivors.

conclusionsCombining conventional and novel biomarkers, such as adrenomedullin, may help early identification of high-risk patients, improving prognostication and management of endemic flaviviral infections.

Indexed as

BiomarkersDengueAdrenomedullinAdultEndemic DiseasesFemaleHumansIndiaMaleMiddle AgedPrognosisRetrospective StudiesYoung AdultAdrenomedullinBiomarkersBiomarkerDengueFlavivirusKyasanur forest disease

Identifiers

PMID41013386
PMCPMC12465789

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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.