Evidence map›Paper›PMID 34514410›Full record

ArticleJAC-antimicrobial resistance2021

Prevalence of MDR bacteria in an acute trauma hospital in Port-au-Prince, Haiti: a retrospective analysis from 2012 to 2018.

Ayşe Açma, Anita Williams, Ernestina Repetto, Sèrgio Cabral, Temmy Sunyoto, Sophie Cherestal Woolley, Gabane Mahama

Open access · goldAbstract read
In one paragraph

Article in JAC-antimicrobial resistance, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-weighted citation impact, top 27% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

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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

7 authors at 3 institutions in 3 countries.

Ayşe AçmaMédecins Sans Frontières-Operational Centre Brussels (MSFOCB), Haiti Mission, Port-au-Prince, Haiti.
Anita WilliamsMSFOCB Luxembourg Operational Research (LuxOR) Unit, Luxembourg.ORCID https://orcid.org/0000-0002-5295-8451
Ernestina RepettoMedecins Sans Frontieres -Operational Centre Geneva (MSFOCG), Medical Department, Geneva, Switzerland.
Sèrgio CabralMSFOCB Nap Kembe Acute Trauma Hospital, Tabarre, Haiti.
Temmy SunyotoMSFOCB Luxembourg Operational Research (LuxOR) Unit, Luxembourg.
Sophie Cherestal WoolleyMédecins Sans Frontières-Operational Centre Brussels (MSFOCB), Haiti Mission, Port-au-Prince, Haiti.
Gabane MahamaMSFOCB Operations Department Cell 3, Brussels, Belgium.
Gheskio Centers · HTMédecins Sans Frontières · LUMédecins Sans Frontières · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAntibiotic resistance (ABR) is recognized as an increasing threat to global health. Haiti declared ABR an emerging public health threat in 2018, however, the current surveillance system is limited. We described the microbiological data from a Médecins Sans Frontières trauma hospital, to increase knowledge on ABR in Haiti for similar facilities.

methodsA retrospective cross-sectional analysis of routine microbiological data of samples taken from patients admitted to the inpatient ward or followed up in the outpatient clinic of the trauma hospital from March 2012 to December 2018. Resistance trends were analysed per isolate and compared over the 7 year period.

resultsAmong 1742 isolates, the most common samples were pus (53.4%), wound swabs (30.5%) and blood (6.9%). The most frequently detected bacteria from these sample types were

conclusionsOver a 7 year period, a high prevalence of MDR bacteria was observed, while ESBL-producing bacteria showed a significantly increasing trend. ABR surveillance is important to inform clinical decisions, treatment guidelines and infection prevention and control practices.

Identifiers

PMID34514410
PMCPMC8419367
OpenAlexW3198825077

What OpenQuestion holds

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LicenceCC BY-NC
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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.