Evidence map›Paper›PMID 31344116›Full record

ArticlePloS one2019

Quantifying the incidence of severe-febrile-illness hospital admissions in sub-Saharan Africa.

Paul Roddy, Ursula Dalrymple, Tomas O Jensen, Sabine Dittrich, V Bhargavi Rao, Daniel A Pfeffer, Katherine A Twohig, Teri Roberts, Oscar Bernal, Ethan Guillen

Registry-linked trialAbstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06122259 (Multidisciplinary Surveillance and Investigation of Febrile Illness in Guinea), which is not on this map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–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.

NCT06122259 recruitingnot on this mapstarted 2023, after this paper: background citation

Multidisciplinary Surveillance and Investigation of Febrile Illness in Guinea

Typeobservational_patient_registrySponsorCentre National de Formation et de Recherche en Sante RuraleRan2023 to 2026Enrolled2,500ConditionsFebrile Illness
3 · Its place in the literature

Who cites it

19 citing papers in PubMed.

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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

10 authors.

Paul RoddyMédecins Sans Frontières - Febrile Illness Diagnostic Programme, New York, United States of America.ORCID 0000-0002-3919-7942
Ursula DalrympleUniversity of Oxford, Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Oxford, United Kingdom.
Tomas O JensenMédecins Sans Frontières - Febrile Illness Diagnostic Programme, New York, United States of America.ORCID 0000-0003-0398-4431
Sabine DittrichFoundation for Innovative New Diagnostics (FIND), Geneva, Switzerland.
V Bhargavi RaoMédecins Sans Frontières - Manson Unit (MSF UK), London, United Kingdom.
Daniel A PfefferUniversity of Oxford, Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Oxford, United Kingdom.
Katherine A TwohigUniversity of Oxford, Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Oxford, United Kingdom.
Teri RobertsMédecins Sans Frontières - Febrile Illness Diagnostic Programme, New York, United States of America.
Oscar BernalMédecins Sans Frontières - Febrile Illness Diagnostic Programme, New York, United States of America.
Ethan GuillenMédecins Sans Frontières - Febrile Illness Diagnostic Programme, New York, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Severe-febrile-illness (SFI) is a common cause of morbidity and mortality across sub-Saharan Africa (SSA). The burden of SFI in SSA is currently unknown and its estimation is fraught with challenges. This is due to a lack of diagnostic capacity for SFI in SSA, and thus a dearth of baseline data on the underlying etiology of SFI cases and scant SFI-specific causative-agent prevalence data. To highlight the public health significance of SFI in SSA, we developed a Bayesian model to quantify the incidence of SFI hospital admissions in SSA. Our estimates indicate a mean population-weighted SFI-inpatient-admission incidence rate of 18.4 (6.8-31.1, 68% CrI) per 1000 people for the year 2014, across all ages within areas of SSA with stable Plasmodium falciparum transmission. We further estimated a total of 16,200,337 (5,993,249-27,321,779, 68% CrI) SFI hospital admissions. This analysis reveals the significant burden of SFI in hospitals in SSA, but also highlights the paucity of pathogen-specific prevalence and incidence data for SFI in SSA. Future improvements in pathogen-specific diagnostics for causative agents of SFI will increase the abundance of SFI-specific prevalence and incidence data, aid future estimations of SFI burden, and enable clinicians to identify SFI-specific pathogens, administer appropriate treatment and management, and facilitate appropriate antibiotic use.

Indexed as

AdolescentAdultAfrica South of the SaharaAgedAged, 80 and overChildChild, PreschoolCommunity-Acquired InfectionsFemaleFeverHospitalizationHumansIncidenceInfantInfant, NewbornMalaria

Identifiers

PMID31344116
PMCPMC6657909

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.