Evidence map›Paper›PMID 30396440›Full record

ArticleThe Lancet. Planetary health2018

Identification of risk factors associated with carriage of resistant Escherichia coli in three culturally diverse ethnic groups in Tanzania: a biological and socioeconomic analysis.

Mark A Caudell, Colette Mair, Murugan Subbiah, Louise Matthews, Robert J Quinlan, Marsha B Quinlan, Ruth Zadoks, Julius Keyyu, Douglas R Call

Open access · goldAbstract read
In one paragraph

Article in The Lancet. Planetary health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 3 pooled it
2.4field-weighted citation impact, top 11% 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

40 citing papers in PubMed, 3 syntheses or guidelines pooled it, 67 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 3 countries.

Mark A CaudellPaul G Allen School for Global Animal Health, Washington State University, Pullman, WA, USA; Department of Anthropology, Washington State University, Pullman, WA, USA.
Colette MairInstitute of Biodiversity, Animal Health and Comparative Medicine, University of Glasgow, Glasgow, UK.
Murugan SubbiahPaul G Allen School for Global Animal Health, Washington State University, Pullman, WA, USA.
Louise MatthewsInstitute of Biodiversity, Animal Health and Comparative Medicine, University of Glasgow, Glasgow, UK.
Robert J QuinlanPaul G Allen School for Global Animal Health, Washington State University, Pullman, WA, USA; Department of Anthropology, Washington State University, Pullman, WA, USA.
Marsha B QuinlanPaul G Allen School for Global Animal Health, Washington State University, Pullman, WA, USA; Department of Anthropology, Washington State University, Pullman, WA, USA.
Ruth ZadoksInstitute of Biodiversity, Animal Health and Comparative Medicine, University of Glasgow, Glasgow, UK.
Julius KeyyuTanzania Wildlife Research Institute, Arusha, Tanzania.
Douglas R CallPaul G Allen School for Global Animal Health, Washington State University, Pullman, WA, USA; Nelson Mandela African Institution of Science and Technology, Arusha, Tanzania. Electronic address: drcall@wsu.edu.
Washington State University · USUniversity of Glasgow · GBTanzania Wildlife Research Institute · TZ

Funding

Biotechnology and Biological Sciences Research Council BB/K01126X/1Biotechnology and Biological Sciences Research Council BB/L018926/1Medical Research Council MC_UU_12014/9
6 · The paper itself

Abstract

backgoundImproved antimicrobial stewardship, sanitation, and hygiene are WHO-inspired priorities for restriction of the spread of antimicrobial resistance. Prioritisation among these objectives is essential, particularly in low-income and middle-income countries, but the factors contributing most to antimicrobial resistance are typically unknown and could vary substantially between and within countries. We aimed to identify the biological and socioeconomic risk factors associated with carriage of resistant Escherichia coli in three culturally diverse ethnic groups in northern Tanzania.

methodsWe developed a survey containing more than 200 items and administered it in randomly selected households in 13 Chagga, Arusha, or Maasai villages chosen on the basis of ethnic composition and distance to urban centres. Human stool samples were collected from a subset of households, as were liquid milk samples and swabs of milk containers. Samples were processed and plated onto MacConkey agar plates, then presumptive E coli isolates were identified on the basis of colony morphology. Susceptibility of isolates was then tested against a panel of nine antimicrobials (ampicillin, ceftazidime, chloramphenicol, ciprofloxacin, kanamycin, streptomycin, sulfamethoxazole, tetracycline, and trimethoprim) via a breakpoint assay. Susceptibility findings were matched with data across a wide range of household characteristics, including education, hygiene practices, wealth, livestock husbandry, and antibiotic use.

findingsBetween March 23, 2012, and July 30, 2015, we interviewed 391 households (118 Arusha, 100 Chagga, and 173 Maasai). Human stool samples were collected at 226 (58%) households across the 13 villages. 181 milk samples and 191 milk-container swabs were collected from 117 households across seven villages. 11 470 putative E coli samples were isolated from stool samples. Antimicrobial use in people and livestock was not associated with prevalence of resistance at the household level. Instead, the factors with the greatest predictive value involved exposure to bacteria, and were intimately connected with fundamental cultural differences across study groups. These factors included how different subsistence types (pastoralists vs farmers) access water sources and consumption of unboiled milk, reflecting increased exposure to resistant bacteria in milk.

interpretationWhen cultural and ecological conditions favour bacterial transmission, there is a high likelihood that people will harbour antimicrobial-resistant bacteria irrespective of antimicrobial use practices. Public health interventions to limit antimicrobial resistance need to be tailored to local practices that affect bacterial transmission.

fundingUS National Science Foundation; Biotechnology and Biological Sciences Research Council, UK Medical Research Council; and the Allen School.

Indexed as

Drug Resistance, Multiple, BacterialAnti-Infective AgentsEscherichia coliEscherichia coli InfectionsEthnicityHumansMicrobial Sensitivity TestsPrevalenceRisk FactorsSocioeconomic FactorsTanzaniaAnti-Infective Agents

Identifiers

PMID30396440
PMCPMC6215761
OpenAlexW2898638656

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.