Evidence map›Paper›PMID 35073309›Full record

SynthesisPLoS neglected tropical diseases2022

A systematic review and meta-analysis of the aetiological agents of non-malarial febrile illnesses in Africa.

Martin Wainaina, David Attuy Vey da Silva, Ian Dohoo, Anne Mayer-Scholl, Kristina Roesel, Dirk Hofreuter, Uwe Roesler, Johanna Lindahl, Bernard Bett, Sascha Al Dahouk

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in PLoS neglected tropical diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 4 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

24 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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  20. Performance ofJournal of parasitic diseases : official organ of the Indian Society for Parasitology · 2023
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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.

Martin WainainaDepartment of Biological Safety, German Federal Institute for Risk Assessment, Berlin, Germany.ORCID https://orcid.org/0000-0002-4938-2543
David Attuy Vey da SilvaDepartment of Biological Safety, German Federal Institute for Risk Assessment, Berlin, Germany.ORCID https://orcid.org/0000-0002-9992-7513
Ian DohooUniversity of Prince Edward Island, Charlottetown, Canada.
Anne Mayer-SchollDepartment of Biological Safety, German Federal Institute for Risk Assessment, Berlin, Germany.
Kristina RoeselDepartment of Veterinary Medicine, Freie Universität Berlin, Berlin, Germany.ORCID https://orcid.org/0000-0002-2553-1129
Dirk HofreuterDepartment of Biological Safety, German Federal Institute for Risk Assessment, Berlin, Germany.
Uwe RoeslerInstitute for Animal Hygiene and Environmental Health, Freie Universität Berlin, Berlin, Germany.ORCID https://orcid.org/0000-0002-6268-5207
Johanna LindahlInternational Livestock Research Institute, Nairobi, Kenya.ORCID https://orcid.org/0000-0002-1175-0398
Bernard BettInternational Livestock Research Institute, Nairobi, Kenya.
Sascha Al DahoukDepartment of Biological Safety, German Federal Institute for Risk Assessment, Berlin, Germany.ORCID https://orcid.org/0000-0003-3835-0818

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe awareness of non-malarial febrile illnesses (NMFIs) has been on the rise over the last decades. Therefore, we undertook a systematic literature review and meta-analysis of causative agents of non-malarial fevers on the African continent. METHODOLOGY: We searched for literature in African Journals Online, EMBASE, PubMed, Scopus, and Web of Science databases to identify aetiologic agents that had been reported and to determine summary estimates of the proportional morbidity rates (PMr) associated with these pathogens among fever patients.

findingsA total of 133 studies comprising 391,835 patients from 25 of the 54 African countries were eligible. A wide array of aetiologic agents were described with considerable regional differences among the leading agents. Overall, bacterial pathogens tested from blood samples accounted for the largest proportion. The summary estimates from the meta-analysis were low for most of the agents. This may have resulted from a true low prevalence of the agents, the failure to test for many agents or the low sensitivity of the diagnostic methods applied. Our meta-regression analysis of study and population variables showed that diagnostic methods determined the PMr estimates of typhoidal Salmonella and Dengue virus. An increase in the PMr of Klebsiella spp. infections was observed over time. Furthermore, the status of patients as either inpatient or outpatient predicted the PMr of Haemophilus spp. infections.

conclusionThe small number of epidemiological studies and the variety of NMFI agents on the African continent emphasizes the need for harmonized studies with larger sample sizes. In particular, diagnostic procedures for NMFIs should be standardized to facilitate comparability of study results and to improve future meta-analyses. Reliable NMFI burden estimates will inform regional public health strategies.

Indexed as

AfricaBacterial InfectionsFeverHumansMycosesParasitic DiseasesPublic HealthRickettsia InfectionsVirus Diseases

Identifiers

PMID35073309
PMCPMC8812962

What OpenQuestion holds

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Registered trials

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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.