Evidence map›Paper›PMID 31511033›Full record

ArticleBMC research notes2019

Type of bacterial isolates and antimicrobial resistance profile from different clinical samples at a Referral Hospital, Northwest Ethiopia: five years data analysis.

Melkamu Abebe, Senait Tadesse, Girum Meseret, Awoke Derbie

Abstract read
In one paragraph

Article in BMC research notes, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 3 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

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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

17 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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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

4 authors.

Melkamu AbebeAmhara Public Health Institute (APHI), Bahir Dar, Ethiopia.
Senait TadesseDepartment of Medical Laboratory Science, College of Health Science, Bahir Dar University, Bahir Dar, Ethiopia. tadesenait@gmail.com.ORCID http://orcid.org/0000-0003-4181-7802
Girum MeseretAmhara Public Health Institute (APHI), Bahir Dar, Ethiopia.
Awoke DerbieDepartment of Medical Laboratory Science, College of Health Science, Bahir Dar University, Bahir Dar, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveAntimicrobial resistance (AMR) is one of the most serious global public health threats that exert a significant burden in terms of patient morbidity and mortality and financial crises in many developing countries including Ethiopia. Knowledge on the type of predominantly circulating pathogens with their respective AMR profile in a given area is essential for optimal patient care. This study was aimed at assessing the types of bacterial isolates and their AMR profile identified from a range of clinical samples at Debre Markos Referral Hospital, Northwest Ethiopia, over a period of 5 years (2013 to 2017).

resultsFrom the total of 514 different clinical samples processed in the stated time frame, about 240 (46.7%) yield bacterial growth. Majority of the identified bacteria were isolated from stool culture 68 (28.3%) followed by urine 56 (23.3%), ear discharge 54 (22.5%) and wound swabs at 26 (10.8%). Most of the clinical isolates were Gram-negative at 171 (71.25%). The predominant isolate was S. aureus at 41 (17.1%) followed by Salmonella species, 40 (16.7%), Escherichia coli 36 (15%) and Pseudomonas aeruginosa at 26 (11.7%). Generally, the isolates were found resistant at (60-100%) against ampicillin, co-trimoxazole, doxycycline, gentamicin, norfloxacin and tetracycline. Gram-positive isolates were found relatively sensitive to ceftriaxone, erythromycin and vancomycin at (71-84%).

Indexed as

Referral and ConsultationAdolescentAdultAnti-Bacterial AgentsBacteriaBacterial InfectionsDrug Resistance, Multiple, BacterialEthiopiaFemaleHumansMaleMicrobial Sensitivity TestsMiddle AgedYoung AdultAnti-Bacterial AgentsAntimicrobial resistanceBacterial profileDebre MarkosEthiopia

Identifiers

PMID31511033
PMCPMC6737691

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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.