Evidence map›Paper›PMID 30519054›Full record

ArticleInfection and drug resistance2018

Bacterial profile, antibiotic resistance pattern and associated factors among cancer patients at University of Gondar Hospital, Northwest Ethiopia.

Alelign Fentie, Yitayih Wondimeneh, Abera Balcha, Anteneh Amsalu, Birhanemeskel Tegene Adankie

Abstract read
In one paragraph

Article in Infection and drug resistance, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 2 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, 2 syntheses or guidelines pooled it.

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  9. CTX-M, TEM, and SHV Genes inInfection and drug resistance · 2024
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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

5 authors.

Alelign FentieDepartment of Medical Microbiology, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia, meskelbirehane@gmail.com.
Yitayih WondimenehDepartment of Medical Microbiology, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia, meskelbirehane@gmail.com.
Abera BalchaSchool of Medicine, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
Anteneh AmsaluDepartment of Medical Microbiology, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia, meskelbirehane@gmail.com.
Birhanemeskel Tegene AdankieDepartment of Medical Microbiology, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia, meskelbirehane@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionCancer is alarmingly increased in developing countries like Ethiopia, where multidrug resistant bacterial infection is rampant. The aim of this study was to determine the bacterial profile, antimicrobial resistance pattern, and associated factors among cancer patients attending University of Gondar Hospital.

methodsA consecutive 216 cancer patients were recruited from February to April, 2017. Socio-demographic and clinical data were collected using a structured questionnaire. Culture and antibiotic resistance were done following standard microbiological procedures.

resultThe overall prevalence of bacterial infection was 19.4%. The predominant bacterial isolates were

conclusionThe overall burden of bacterial infection among cancer patients is considerably high. The findings of this study inform baseline information for policymakers and call for additional studies with large isolates in different cancer treatment centers in the region and in the country to better understand the bacterial isolate and resistance pattern.

Indexed as

antibiotic resistancebacterial profilecancer patientEthiopia

Identifiers

PMID30519054
PMCPMC6233944

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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.