Evidence map›Paper›PMID 27048579›Full record

ArticleThe Journal of antimicrobial chemotherapy2016

Results from the Survey of Antibiotic Resistance (SOAR) 2011-14 in the Democratic Republic of Congo, Ivory Coast, Republic of Senegal and Kenya.

A Kacou-Ndouba, G Revathi, P Mwathi, A Seck, A Diop, M J Kabedi-Bajani, W Mwiti, M J Anguibi-Pokou, I Morrissey, D Torumkuney

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Article in The Journal of antimicrobial chemotherapy, 2016. 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
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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

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

A Kacou-NdoubaInstitute Pasteur, 01 BP 490 Abidjan 01, Côte d'Ivoire.
G RevathiDepartment of Pathology, Aga Khan University Hospital, Nairobi, Kenya, PO Box 30270, 00100.
P MwathiKenyatta National Hospital, Microbiology Department, P.O. Box 20723, Nairobi, Kenya 00200.
A SeckInstitute Pasteur Dakar, Dakar Faculty of Medicine, 36 Avenue Pasteur, B.P. 220, Dakar, Senegal.
A DiopUniversity of Dakar, Faculty of Medicine, BP 45515, Dakar-Fann, Senegal.
M J Kabedi-BajaniUniversity of Kinshasa, National Institute Biomedical Research (INRB), Kinshasa, Democratic Republic of Congo.
W MwitiGlaxoSmithKline Kenya, 23 Likoni Road, P.O. Box 78392, Nairobi, Kenya 00507.
M J Anguibi-PokouGlaxoSmithKline West and Central Africa, 7 Rue des Bougainvilliers Cocody, 01 BP 8111 Abidjan 01, Cote d'Ivoire.
I MorrisseyIHMA Europe Sàrl, 9A route de la Corniche, Epalinges 1066, Switzerland.
D TorumkuneyGlaxoSmithKline, 980 Great West Road, Brentford, Middlesex TW8 9GS, UK didem.x.torumkuney@gsk.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo assess antibiotic susceptibility of community-acquired respiratory tract isolates from Ivory Coast, Kenya, Democratic Republic of Congo (DRC) and Senegal in 2011-14.

methodsBacterial isolates were collected and MICs determined using Etest(®) for all antibiotics except erythromycin, for which testing was by disc diffusion. Susceptibility was assessed using CLSI, EUCAST and pharmacokinetic/pharmacodynamic (PK/PD) breakpoints. For macrolide interpretation, CLSI breakpoints were adjusted for incubation in CO2.

resultsSusceptibility to penicillin (using CLSI oral or EUCAST breakpoints) was low among isolates of Streptococcus pneumoniae from the DRC and Kenya (17.4% and 19%, respectively) but higher among isolates from the Ivory Coast (70%) and Senegal (85.7%). Penicillin susceptibility using CLSI iv breakpoints was higher in all countries, but still only 69.6% in the DRC. Macrolide susceptibility (based on CLSI erythromycin disc diffusion breakpoints) was also low in Kenya (∼65%) but 87%-100% elsewhere. Haemophilus influenzae were only collected in the DRC and Senegal, with β-lactamase prevalence of 39% and 4%, respectively. Furthermore, β-lactamase-negative ampicillin-resistant (BLNAR) isolates were found in DRC (four isolates, 17%), but only two isolates were found in Senegal (by EUCAST definition). Amoxicillin/clavulanic acid in vitro susceptibility was 73.9% in the DRC and 100% in Senegal based on CLSI breakpoints, but this reduced to 65.2% in the DRC when BLNAR rates were considered. Clarithromycin susceptibility was >95% in both countries.

conclusionsThere was considerable variability in antibiotic susceptibility among the African countries participating in the surveillance programme. Thus, continued surveillance is necessary to track future changes in antibiotic resistance. Use of EUCAST versus CLSI breakpoints showed profound differences for cefaclor and ofloxacin against S. pneumoniae, with EUCAST showing lower susceptibility.

Indexed as

Drug Resistance, BacterialAdolescentAdultAfricaAgedAged, 80 and overAnti-Bacterial AgentsChildChild, PreschoolCommunity-Acquired InfectionsEpidemiological MonitoringFemaleHaemophilus influenzaeHumansInfantInfant, NewbornAnti-Bacterial Agents

Identifiers

PMID27048579
PMCPMC4890352

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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.