Evidence map›Paper›PMID 39071867›Full record

ArticleVirusdisease2024

Kinetics of dengue viremia and its association with disease severity: an ambispective study.

Puneet Bhatt, Anup Jayaram, Muralidhar Varma, Chiranjay Mukhopadhyay

Abstract read
In one paragraph

Article in Virusdisease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Trial
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  11. Atypical dengue fever in a partially vaccinated patient: a case report.Revista do Instituto de Medicina Tropical de Sao Paulo · 2025
    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

4 authors.

Puneet BhattManipal Institute of Virology, Manipal Academy of Higher Education, Manipal, Karnataka 576104 India.ORCID 0000-0002-0740-1443
Anup JayaramManipal Institute of Virology, Manipal Academy of Higher Education, Manipal, Karnataka 576104 India.
Muralidhar VarmaDepartment of Infectious Diseases, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, Karnataka 576101 India.
Chiranjay MukhopadhyayManipal Institute of Virology, Manipal Academy of Higher Education, Manipal, Karnataka 576104 India.ORCID 0000-0003-0402-1143

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Dengue virus (DENV) infection is an important public health problem and causes significant morbidity and mortality. DENV typically causes a febrile illness that ranges from mild asymptomatic infection to fatal dengue hemorrhagic fever (DHF) and/or dengue shock syndrome (DSS). Early prediction of severe dengue disease is of utmost importance for providing prompt monitoring and treatment. The search for an ideal biomarker (host or viral factors) for early prediction of severe dengue remains elusive. Aim: To standardize a real time qRT-PCR for quantifying dengue viremia in serum samples and evaluate the kinetics of dengue viremia and its significance in disease severity. Results: In this ambispective study of 126 laboratory confirmed dengue patients, 72 were primary infections and 54 were secondary infections. The most common serotype was serotype 1 (n = 37) followed by serotype 2 (n = 34). According to WHO 1997 dengue case classification, 111 patients were cases of dengue fever (DF), 13 from DHF and 02 from DSS. Day 3 viremia levels were significantly elevated in severe dengue patients (DHF/DSS) as compared to that of DF ( Conclusion: Dengue viremia has a significant association with disease severity and day 3 viremia levels may be used as a predictor for dengue disease severity.

Indexed as

DengueDengue hemorrhagic feverDengue shock syndromeDengue viremia (viral load)Dengue without warning signs (DwoWS)Dengue with warning signs (DWS)Severe dengue

Identifiers

PMID39071867
PMCPMC11269549

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Registered trials

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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.