Evidence map›Paper›PMID 38289968›Full record

ArticlePLoS neglected tropical diseases2024

Markers of prolonged hospitalisation in severe dengue.

Mario Recker, Wim A Fleischmann, Trinh Huu Nghia, Nguyen Van Truong, Le Van Nam, Do Duc Anh, Le Huu Song, Nguyen Trong The, Chu Xuan Anh, Nguyen Viet Hoang and 4 more

Open access · goldAbstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
5.4field-weighted citation impact, top 4% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Observational
  4. Article
  5. Article
  6. Article
  7. 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

14 authors at 6 institutions in 3 countries.

Mario ReckerInstitute for Tropical Medicine, University Hospital Tübingen, Tübingen, Germany.ORCID 0000-0001-9489-1315
Wim A FleischmannInstitute for Tropical Medicine, University Hospital Tübingen, Tübingen, Germany.
Trinh Huu Nghia103 Military Hospital, Vietnam Military Medical University, Hanoi, Vietnam.
Nguyen Van Truong103 Military Hospital, Vietnam Military Medical University, Hanoi, Vietnam.
Le Van Nam103 Military Hospital, Vietnam Military Medical University, Hanoi, Vietnam.
Do Duc AnhInstitute for Tropical Medicine, University Hospital Tübingen, Tübingen, Germany.
Le Huu SongVietnamese-German Center for Medical Research, VG-CARE, Hanoi, Vietnam.
Nguyen Trong TheVietnamese-German Center for Medical Research, VG-CARE, Hanoi, Vietnam.
Chu Xuan Anh108 Military Central Hospital, Hanoi, Vietnam.
Nguyen Viet Hoang108 Military Central Hospital, Hanoi, Vietnam.
Nhat My TruongVietnamese-German Center for Medical Research, VG-CARE, Hanoi, Vietnam.
Nguyen Linh ToanVietnamese-German Center for Medical Research, VG-CARE, Hanoi, Vietnam.
Peter G KremsnerInstitute for Tropical Medicine, University Hospital Tübingen, Tübingen, Germany.
Thirumalaisamy P VelavanInstitute for Tropical Medicine, University Hospital Tübingen, Tübingen, Germany.
Vietnamese - German Center of Excellence in Medical Research · VNVietnam Military Medical University · VN108 Military Central Hospital · VNCentre de Recherche Médicales de Lambaréné · GADuy Tan University · VNUniversity of Exeter · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDengue is one of the most common diseases in the tropics and subtropics. Whilst mortality is a rare event when adequate supportive care can be provided, a large number of patients get hospitalised with dengue every year that places a heavy burden on local health systems. A better understanding of the support required at the time of hospitalisation is therefore of critical importance for healthcare planning, especially when resources are limited during major outbreaks.

methodsHere we performed a retrospective analysis of clinical data from over 1500 individuals hospitalised with dengue in Vietnam between 2017 and 2019. Using a broad panel of potential biomarkers, we sought to evaluate robust predictors of prolonged hospitalisation periods.

resultsOur analyses revealed a lead-time bias, whereby early admission to hospital correlates with longer hospital stays - irrespective of disease severity. Importantly, taking into account the symptom duration prior to hospitalisation significantly affects observed associations between hospitalisation length and previously reported risk markers of prolonged stays, which themselves showed marked inter-annual variations. Once corrected for symptom duration, age, temperature at admission and elevated neutrophil-to-lymphocyte ratio were found predictive of longer hospitalisation periods.

conclusionThis study demonstrates that the time since dengue symptom onset is one of the most significant predictors for the length of hospital stays, independent of the assigned severity score. Pre-hospital symptom durations need to be accounted for to evaluate clinically relevant biomarkers of dengue hospitalisation trajectories.

Indexed as

Severe DengueBiomarkersHospitalizationHumansLength of StayRetrospective StudiesBiomarkers

Identifiers

PMID38289968
PMCPMC10857710
OpenAlexW4391343213

What OpenQuestion holds

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LicenceCC BY
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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.