Evidence map›Paper›PMID 31284032›Full record

SynthesisClinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases2019

A systematic review and meta-analysis of patient data from the West Africa (2013-16) Ebola virus disease epidemic.

A M Rojek, A Salam, R J Ragotte, E Liddiard, A Elhussain, A Carlqvist, M Butler, N Kayem, L Castle, L 'o Odondi and 2 more

Open access · hybridAbstract readMeta-AnalysisSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 23% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Core Minimal Datasets to Advance Clinical Research for Priority Epidemic Diseases.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2020
    Article
  5. Treatment of Ebola-related critical illness.Intensive care medicine · 2020
    Review
  6. 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

12 authors at 2 institutions in 1 country.

A M RojekEpidemic Diseases Research Group, University of Oxford, Oxford, UK. Electronic address: amanda.rojek@ndm.ox.ac.uk.
A SalamEpidemic Diseases Research Group, University of Oxford, Oxford, UK; United Kingdom Public Health Rapid Support Team, London School of Hygiene & Tropical Medicine, Keppel Street, London, WC1E 7HT, UK.
R J RagotteEpidemic Diseases Research Group, University of Oxford, Oxford, UK.
E LiddiardEpidemic Diseases Research Group, University of Oxford, Oxford, UK.
A ElhussainEpidemic Diseases Research Group, University of Oxford, Oxford, UK.
A CarlqvistEpidemic Diseases Research Group, University of Oxford, Oxford, UK.
M ButlerEpidemic Diseases Research Group, University of Oxford, Oxford, UK.
N KayemEpidemic Diseases Research Group, University of Oxford, Oxford, UK.
L CastleEpidemic Diseases Research Group, University of Oxford, Oxford, UK.
L 'o OdondiEpidemic Diseases Research Group, University of Oxford, Oxford, UK.
K StepniewskaEpidemic Diseases Research Group, University of Oxford, Oxford, UK; WorldWide Antimalarial Resistance Network, Oxford, UK.
P W HorbyEpidemic Diseases Research Group, University of Oxford, Oxford, UK.
University of Oxford · GBOxford Research Group · GB

Funding

Wellcome Trust 106491Wellcome Trust 107834
6 · The paper itself

Abstract

backgroundOver 28 000 individuals were infected with Ebola virus during the West Africa (2013-2016) epidemic, yet there has been criticism of the lack of robust clinical descriptions of Ebola virus disease (EVD) illness from that outbreak.

objectivesTo perform a meta-analysis of published data from the epidemic to describe the clinical presentation, evolution of disease, and predictors of mortality in individuals with EVD. To assess the quality and utility of published data for clinical and public health decision-making. DATA SOURCES: Primary articles available in PubMed and published between January 2014 and May 2017. ELIGIBILITY: Studies that sequentially enrolled individuals hospitalized for EVD and that reported acute clinical outcomes.

methodsWe performed meta-analyses using random-effect models and assessed heterogeneity using the I

resultsIn all, 3653 articles were screened and 34 articles were included, representing 16 independent cohorts of patients (18 overlapping cohorts) and at least 6168 individuals. The pooled estimate for case fatality rate was 51% (95% CI 46%-56%). However, pooling of estimates for clinical presentation, progression, and predictors of mortality in individuals with EVD were hampered by significant heterogeneity, and inadequate data on clinical progression. Our assessment of data quality found that heterogeneity was largely unexplained, and data availability and compatibility were poor.

conclusionsWe have quantified a missed opportunity to generate reliable estimates of the clinical manifestations of EVD during the West Africa epidemic. Clinical data standards and data capture platforms are urgently needed.

Indexed as

EpidemicsAdolescentAdultAfrica, WesternAgedAged, 80 and overChildChild, PreschoolFemaleHemorrhagic Fever, EbolaHumansInfantInfant, NewbornMaleMiddle AgedYoung AdultEbolaEbola virus diseaseemerging infectionepidemicoutbreakviral hemorrhagic

Identifiers

PMID31284032
PMCPMC7116468
OpenAlexW2954531074

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.