Evidence map›Paper›PMID 35803293›Full record

SynthesisThe Lancet. Microbe2022

Effects of therapies for Ebola virus disease: a systematic review and network meta-analysis.

Ya Gao, Yunli Zhao, Gordon Guyatt, Robert Fowler, Richard Kojan, Long Ge, Jinhui Tian, Collaborators, Qiukui Hao

Open access · goldAbstract readSystematic ReviewNetwork Meta-Analysis
In one paragraph

Synthesis in The Lancet. Microbe, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 9% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Discovery of three small-molecule inhibitors targetingThe Journal of general virology · 2025
    Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Vaccines for preventing Ebola virus disease.The Cochrane database of systematic reviews · 2024
    Article
  11. Article
  12. Article
  13. Monoclonal antibody applications in travel medicine.Tropical diseases, travel medicine and vaccines · 2024
    Review
  14. Review
  15. Article
  16. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 5 institutions in 3 countries.

Ya GaoEvidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China; Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada.
Yunli ZhaoDepartment of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada; National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China.
Gordon GuyattDepartment of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada; Department of Medicine, McMaster University, Hamilton, ON, Canada.
Robert FowlerInterdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, ON, Canada; Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada; Department of Critical Care Medicine, Sunnybrook Health Sciences Centre, Toronto, ON, Canada.
Richard KojanAlliance for International Medical Action, Dakar, Senegal.
Long GeEvidence-Based Social Science Research Center, School of Public Health, Lanzhou University, Lanzhou, China.
Jinhui TianEvidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China.
Collaborators
Qiukui HaoDepartment of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada; School of Rehabilitation Science, McMaster University, Hamilton, ON, Canada. Electronic address: haoqiukui@gmail.com.
Lanzhou University · CNImpact · CAAlliance for International Medical Action · SNSichuan University · CNUniversity of Toronto · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSpecific treatments targeting Ebola virus are crucial in managing Ebola virus disease. To support the development of clinical practice guidelines on medications for Ebola virus disease, we aimed to evaluate the efficacy and safety of therapies for patients with Ebola virus disease.

methodsIn this systematic review and network meta-analysis, we searched MEDLINE, Embase, the Cochrane Central Register of Controlled Trials, Scopus, Global Health, African Index Medicus, World Health Organization Global Index Medicus, the Cumulative Index to Nursing and Allied Health Literature, ClinicalTrials.gov, Epistemonikos, bioRxiv, medRxiv, and SSRN without language restrictions for randomised controlled trials (RCTs) published between database inception and Jan 1, 2022, comparing at least one therapeutic agent for Ebola virus disease against standard care or another therapeutic agent for Ebola virus disease. Two reviewers assessed study eligibility and extracted summary data independently using a standardised form. Our outcomes of interest were mortality, adverse maternal outcomes, risk of onward transmission, duration of admission to a health-care facility, functional status after Ebola virus disease, serious adverse events from medication, adverse perinatal outcomes, time to symptom resolution, and time to viral clearance. We did frequentist network meta-analyses to estimate the effect of all interventions and applied the Grading of Recommendations Assessment, Development and Evaluation approach to rate the certainty of the evidence. We registered the protocol with PROSPERO, CRD42022296539.

findingsWe identified 7840 records through database searches, of which two RCTs with a total of 753 patients proved eligible. Only data on mortality, the duration of admission, serious adverse events, and time to viral clearance were available for meta-analysis. Compared with standard care, REGN-EB3 (relative risk [RR] 0·40, 95% CI 0·18 to 0·89; moderate certainty) and mAb114 (0·42, 0·19 to 0·93; moderate certainty) probably reduce mortality. Whether ZMapp (0·60, 0·28 to 1·26; very low certainty) and remdesivir (0·64, 0·29 to 1·39; very low certainty) reduce mortality compared with standard care is uncertain. With high certainty, REGN-EB3 reduces mortality compared with ZMapp (0·67, 0·52 to 0·88) and remdesivir (0·63, 0·49 to 0·82). With high certainty, mAb114 also reduces mortality compared with ZMapp (0·71, 0·55 to 0·91) and remdesivir (0·66, 0·52 to 0·84). Compared with standard care, REGN-EB3, mAb114, ZMapp, and remdesivir might have little or no effect on the time to viral clearance (mean difference ranged from -0·25 days to -1·14 days; low certainty). ZMapp might reduce the duration of admission compared with standard care (mean difference -2·02 days, 95% CI -4·05 to 0·01; low certainty). Findings for all comparisons suggested that there might be little or no difference in the prevalence of serious adverse events, but certainty was low or very low in all comparisons but one.

interpretationREGN-EB3 and mAb114 separately reduce mortality compared with ZMapp, remdesivir, or standard care in patients with Ebola virus disease. These findings suggest that health-care workers should prioritise the use of REGN-EB3 and mAb114 for patients with Ebola virus disease during future outbreaks.

fundingWHO.

Indexed as

Hemorrhagic Fever, EbolaAntibodies, Monoclonal, HumanizedDrug CombinationsFemaleHumansPregnancyansuvimabAntibodies, Monoclonal, Humanizedatoltivimab, maftivimab, and odesivimab-ebgn drug combinationDrug Combinations

Identifiers

PMID35803293
PMCPMC9441701
OpenAlexW4283829776

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.