Evidence map›Paper›PMID 39899203›Full record

ReviewThe ultrasound journal2025

Ultrasound evaluation of gallbladder wall thickness for predicting severe dengue: a systematic review and meta-analysis.

Amirhossein Shahsavand Davoudi, Hamid Harandi, Reza Samiee, Shayan Forghani, Keyhan Mohammadi, Maryam Shafaati

Abstract readReview
In one paragraph

Review in The ultrasound journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
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.

Amirhossein Shahsavand DavoudiSchool of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Hamid HarandiSchool of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Reza SamieeSchool of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Shayan ForghaniSchool of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Keyhan MohammadiResearch Center for Antibiotic Stewardship and Antimicrobial Resistance, Infectious Diseases Department, Imam Khomeini Hospital Complex, Tehran University of Medical Sciences, Tehran, Iran.
Maryam ShafaatiResearch Center for Antibiotic Stewardship and Antimicrobial Resistance, Infectious Diseases Department, Imam Khomeini Hospital Complex, Tehran University of Medical Sciences, Tehran, Iran. Maryam.shafaati@gmail.com.ORCID http://orcid.org/0000-0002-7401-2237

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe prevalence of dengue fever (DF), a mosquito-borne viral disease, is rising worldwide. Its severe manifestations like thrombocytopenia and plasma leakage are associated with increased mortality. Ultrasound-detected gallbladder wall thickening (GBWT) has been suggested as a potential indicator of the severity of the disease.

aimsThis systematic review and meta-analysis evaluated the predictive value of GBWT in identifying patients at risk for severe dengue.

methodsFollowing the PRISMA 2020 guidelines, we conducted a systematic search of Web of Science, PubMed, Embase, and Scopus. Among the inclusion criteria were original studies that assessed GBWT across various dengue severity categories. Then, we performed a meta-analysis using a random effects model and subgroup analyses based on severity criteria to determine the relationship between GBWT and severe dengue.

resultsFor the meta-analysis, 19 studies qualified for the inclusion criteria. There was a significant association between GBWT and severe dengue, according to the odds ratio (OR) of 2.35 (95% CI 1.88-2.82, p < 0.001). The subgroup analysis revealed consistent results for thrombocytopenia (OR: 2.65) and plasma leakage (OR: 2.26), among other severity criteria.

conclusionsA reliable ultrasound indicator, GBWT can help identify patients at risk for severe dengue early on, improving clinical decision-making and patient outcomes. However, the possibility of differential diagnosis requires cautious interpretation.

Indexed as

Dengue feverGallbladder wall thickening (GBWT)Risk predictionSevere dengueUltrasound

Identifiers

PMID39899203
PMCPMC11790530

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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.