Evidence map›Paper›PMID 24628272›Full record

ReviewAnnals of the New York Academy of Sciences2014

Antibacterial resistance in sub-Saharan Africa: an underestimated emergency.

Samuel Kariuki, Gordon Dougan

Open access · greenAbstract readReview
In one paragraph

Review in Annals of the New York Academy of Sciences, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
69citing papers in PubMed, 4 pooled it
5.4field-weighted citation impact, top 4% 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

69 citing papers in PubMed, 4 syntheses or guidelines pooled it, 124 citations in OpenAlex.

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9 more citing papers are in PubMed but not listed here.

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

2 authors at 2 institutions in 2 countries.

Samuel KariukiCentre for Microbiology Research, Kenya Medical Research Institute, Nairobi, Kenya; Wellcome Trust Sanger Institute, Hinxton, Cambridge, United Kingdom.
Gordon Dougan
Kenya Medical Research Institute · KEWellcome Sanger Institute · GB

Funding

Integrating geographical and genetic mapping of salmonella disease in an endemicR01AI099525 · NIAID · KENYA MEDICAL RESEARCH INSTITUTE (KEMRI) · PI GUNN, JOHN S, KARIUKI, SAMUEL M · 2013 to 2024
$1.3M
NIAID NIH HHS R01 AI099525Wellcome Trust 100891
6 · The paper itself

Abstract

Antibacterial resistance-associated infections are known to increase morbidity, mortality, and cost of treatment, and to potentially put others in the community at higher risk of infections. In high-income countries, where the burden of infectious diseases is relatively modest, resistance to first-line antibacterial agents is usually overcome by use of second- and third-line agents. However, in developing countries where the burden of infectious diseases is high, patients with antibacterial-resistant infections may be unable to obtain or afford effective second-line treatments. In sub-Saharan Africa (SSA), the situation is aggravated by poor hygiene, unreliable water supplies, civil conflicts, and increasing numbers of immunocompromised people, such as those with HIV, which facilitate both the evolution of resistant pathogens and their rapid spread in the community. Because of limited capacity for disease detection and surveillance, the burden of illnesses due to treatable bacterial infections, their specific etiologies, and the awareness of antibacterial resistance are less well established in most of SSA, and therefore the ability to mitigate their consequences is significantly limited.

Indexed as

Africa South of the SaharaAnti-Bacterial AgentsBacterial InfectionsDrug Resistance, MicrobialHumansAnti-Bacterial Agentsantibacterial resistancebacterial pathogenssub-Saharan Africa

Identifiers

PMID24628272
PMCPMC4159419
OpenAlexW2108823975

What OpenQuestion holds

Textmetadata
LicenceTDM
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.