Evidence map›Paper›PMID 42163115›Full record

SynthesisBMC infectious diseases2026

Clinical factors associated with mortality in ebola virus disease: a systematic review and meta-analysis.

Brandon Kayembe, Beni Matangi, Placide Matondo, Axel Okolo, Patrick Mbo, Dieudonné Tawaba, Amede Kinuka, Ben Bepouka

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in BMC infectious diseases, 2026. 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. The Future of Vaccines.Vaccines · 2026
    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

8 authors.

Brandon KayembeOffice of Infectious Diseases and Global Health Research, Kinshasa University Hospital, University of Kinshasa, Kinshasa, Democratic Republic of the Congo. brandonkayembe30@gmail.com.
Beni MatangiOffice of Infectious Diseases and Global Health Research, Kinshasa University Hospital, University of Kinshasa, Kinshasa, Democratic Republic of the Congo.
Placide MatondoOffice of Infectious Diseases and Global Health Research, Kinshasa University Hospital, University of Kinshasa, Kinshasa, Democratic Republic of the Congo.
Axel OkoloOffice of Infectious Diseases and Global Health Research, Kinshasa University Hospital, University of Kinshasa, Kinshasa, Democratic Republic of the Congo.
Patrick MboOffice of Infectious Diseases and Global Health Research, Kinshasa University Hospital, University of Kinshasa, Kinshasa, Democratic Republic of the Congo.
Dieudonné TawabaOffice of Infectious Diseases and Global Health Research, Kinshasa University Hospital, University of Kinshasa, Kinshasa, Democratic Republic of the Congo.
Amede KinukaOffice of Infectious Diseases and Global Health Research, Kinshasa University Hospital, University of Kinshasa, Kinshasa, Democratic Republic of the Congo.
Ben BepoukaOffice of Infectious Diseases and Global Health Research, Kinshasa University Hospital, University of Kinshasa, Kinshasa, Democratic Republic of the Congo.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEbola virus disease (EVD) remains a major global public health threat because of its high case fatality rate and recurrent outbreaks, particularly in sub-Saharan Africa. Despite advances in supportive care and targeted therapies, mortality remains substantial and varies widely across epidemics and healthcare settings. A robust quantitative synthesis is therefore needed to estimate overall mortality and identify clinical determinants associated with death among patients with EVD.

methodsWe conducted a systematic review and meta-analysis in accordance with the PRISMA 2020 guidelines. PubMed, Google Scholar, and Index Medicus Africa were searched from inception to November 10, 2025. Observational studies reporting mortality among patients with EVD were included. Study quality was assessed using the Joanna Briggs Institute critical appraisal checklist. A random-effects meta-analysis using restricted maximum likelihood estimation was performed to calculate pooled mortality and odds ratios (ORs) for factors associated with death. Heterogeneity was assessed using the I² statistic, and subgroup analyses were conducted by epidemic period, region, sample size, and age group. Publication bias was evaluated using funnel plots and Egger's and Begg's tests.

resultsEleven studies involving 16,413 patients with EVD were included. Reported case fatality proportions ranged from 34% to 79%. The pooled mortality was 54% (95% CI: 45-63), with very high heterogeneity (I² = 98.2%). Mortality was higher during the West African epidemic (2014-2016) than during more recent Central African outbreaks (2018-2020). Pediatric mortality appeared lower than adult mortality, although confidence intervals overlapped. Hemorrhagic manifestations were strongly associated with death, whereas age was not independently associated with mortality in pooled analyses. No significant publication bias was detected.

conclusionsEVD remains associated with high mortality, although improvements in outcomes are evident in more recent outbreaks. Hemorrhagic manifestations represent a key clinical determinant of death. These findings highlight the importance of early access to care, high-quality supportive management, and sustained implementation of effective therapeutic strategies to further reduce EVD-related mortality, particularly in resource-limited settings.

Indexed as

Hemorrhagic Fever, EbolaDisease OutbreaksEbolavirusHumansRisk FactorsClinical factorsEbola virus diseaseMeta-analysisMortalityRisk factorsSystematic review

Identifiers

PMID42163115
PMCPMC13371692

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.