Evidence map›Paper›PMID 30899576›Full record

ArticleBMJ global health2019

Diagnostic applications for Lassa fever in limited-resource settings.

Devy M Emperador, Solomon A Yimer, Laura T Mazzola, Gunnstein Norheim, Cassandra Kelly-Cirino

Open access · goldAbstract read
In one paragraph

Article in BMJ global health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

7 citing papers in PubMed, 16 citations in OpenAlex.

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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

5 authors at 2 institutions in 2 countries.

Devy M EmperadorFoundation for Innovative New Diagnostics (FIND), Emerging Threats Programme, Geneva, Switzerland.
Solomon A YimerDepartment of Vaccine Science, Coalition for Epidemic Preparedness Innovation (CEPI), Oslo, Norway.
Laura T MazzolaFoundation for Innovative New Diagnostics (FIND), Emerging Threats Programme, Geneva, Switzerland.
Gunnstein NorheimDepartment of Vaccine Science, Coalition for Epidemic Preparedness Innovation (CEPI), Oslo, Norway.
Cassandra Kelly-CirinoFoundation for Innovative New Diagnostics (FIND), Emerging Threats Programme, Geneva, Switzerland.
Foundation for Innovative New Diagnostics · CHCoalition for Epidemic Preparedness Innovations · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lassa fever, caused by arenavirus Lassa virus (LASV), is an acute viral haemorrhagic disease that affects up to an estimated 300 000 individuals and causes up to 5000 deaths per year in West Africa. Currently available LASV diagnostic methods are difficult to operationalise in low-resource health centres and may be less sensitive to detecting all known or emerging LASV strains. To prioritise diagnostic development for LASV, we assessed the diagnostic applications for case detection, clinical management, surveillance, outbreak response, and therapeutic and vaccine development at various healthcare levels. Diagnostic development should prioritise point-of-care and near-patient diagnostics, especially those with the ability to detect all lineages of LASV, as they would allow for rapid detection in resource-limited health facilities closer to the patient.

Indexed as

in vitro diagnosticslassa feverlassa virusLASVpoint of care

Identifiers

PMID30899576
PMCPMC6407552
OpenAlexW2911805386

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.