Evidence map›Paper›PMID 39850333›Full record

ArticleIJID regions2025

Diagnostic challenges of arboviral infections and dengue virus serotype distribution in febrile patients in East Java, Indonesia.

Do Duc Anh, Luthfiana Mutiara Sani, Rini Riyanti, Nurul Istinaroh, Truong Nhat My, Hoang Van Tong, Rike Oktarianti, Tran Thi Thanh Huyen, Le Huu Song, Kartika Senjarini and 1 more

Abstract read
In one paragraph

Article in IJID regions, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Article
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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

11 authors.

Do Duc AnhInstitute of Tropical Medicine, University of Tübingen, Tübingen, Germany.
Luthfiana Mutiara SaniDepartment of Biology, Faculty of Mathematics and Natural Sciences, University of Jember, Jember, Indonesia.
Rini RiyantiFaculty of Medicine, University of Jember, Jember, Indonesia.
Nurul IstinarohFaculty of Medicine, University of Jember, Jember, Indonesia.
Truong Nhat MyVietnamese German Center for Medical Research (VG-CARE), Hanoi, Vietnam.
Hoang Van TongVietnamese German Center for Medical Research (VG-CARE), Hanoi, Vietnam.
Rike OktariantiDepartment of Biology, Faculty of Mathematics and Natural Sciences, University of Jember, Jember, Indonesia.
Tran Thi Thanh HuyenVietnamese German Center for Medical Research (VG-CARE), Hanoi, Vietnam.
Le Huu SongVietnamese German Center for Medical Research (VG-CARE), Hanoi, Vietnam.
Kartika SenjariniDepartment of Biology, Faculty of Mathematics and Natural Sciences, University of Jember, Jember, Indonesia.
Thirumalaisamy P VelavanInstitute of Tropical Medicine, University of Tübingen, Tübingen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Arboviruses pose significant public health threats worldwide, with Southeast Asia being a hotspot for these infections. This study aimed to reassess the incidence of dengue, Zika, and chikungunya viruses in patients clinically diagnosed with dengue in East Java, Indonesia in 2023. Methods: The study included 108 patients admitted to hospitals in Jember, with blood samples collected on admission. Multiplex reverse transcription-polymerase chain reaction was used to detect viral RNA for dengue, Zika, and chikungunya, whereas dengue serotypes were identified using real-time polymerase chain reaction. Results: A total of 67 of 108 (62%) patients tested positive for dengue virus (DENV), one patient tested positive for chikungunya, and no cases of Zika were detected. Differences in laboratory parameters between patients who were DENV RNA-negative and confirmed dengue cases suggest possible misdiagnosis of dengue. Serotyping of DENV-positive samples revealed DENV serotype 3 as the predominant serotype in Jember, accounting for 34% of cases (n = 23 of 67), followed by DENV serotype 1 and DENV serotype 2 at 19% each (n = 13 of 67) and 6% for DENV-4 (n = 4 of 67), whereas 21% (n = 14 of 67) remained untyped. Conclusions: This study highlights the nature of the dengue outbreak in Jember in 2023, where all four DENV serotypes were in circulation, and underlines the need for serological or nucleic acid-based methods to improve arbovirus diagnosis in the region.

Indexed as

ArbovirusesChikungunyaDengueIndonesiaSerotypesZika

Identifiers

PMID39850333
PMCPMC11754499

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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.