Evidence map›Paper›PMID 36277243›Full record

ArticleInfection and drug resistance2022

Changes in Antimicrobial Resistance and Etiology of Blood Culture Isolates: Results of a Decade (2010-2019) of Surveillance in a Northern Region of Colombia.

Jaime Robledo, Natalia Maldonado, Carlos Robledo, Laura Ceballos Naranjo, Valentín Hernández Galeano, Juan Jose Pino, Germen Antimicrobial Surveillance network

Open access · goldAbstract read
In one paragraph

Article in Infection and drug resistance, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 29% 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

3 citing papers in PubMed, 6 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 4 institutions in 2 countries.

Jaime RobledoLaboratorio Médico de Referencia, Medellín, Colombia.
Natalia MaldonadoGrupo GERMEN, Medellín, Colombia.
Carlos RobledoLaboratorio Médico de Referencia, Medellín, Colombia.
Laura Ceballos NaranjoEscuela de Ciencias de la Salud, Universidad Pontificia Bolivariana, Medellín, Colombia.
Valentín Hernández GaleanoEscuela de Ciencias de la Salud, Universidad Pontificia Bolivariana, Medellín, Colombia.
Juan Jose PinoEscuela de Ciencias de la Salud, Universidad Pontificia Bolivariana, Medellín, Colombia.
Germen Antimicrobial Surveillance network
Universidad Pontificia Bolivariana · COCorporación para Investigaciones Biológicas · COHospital Universitario Virgen Macarena · ESMunicipality of Medellín · CO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Bloodstream infections (BSI) are important causes of morbidity and mortality worldwide. Antimicrobial surveillance is essential for identifying emerging resistance and generating empirical treatment guides, the purpose of this study is to analyze trends in antimicrobial susceptibility of BSI from 2010 to 2019 in healthcare institutions from Medellin and nearby towns in Colombia. Methods: A Whonet database was analyzed from the GERMEN antimicrobial surveillance network; frequency and antibiotic susceptibility trends were calculated on more frequent microorganisms using Mann Kendall and Sen's Slope Estimator Test. Results: 61,299 isolates were included; the three microorganisms more frequent showed a significant increasing trend through time Conclusion: An upward trends was observed in more frequent microorganisms and resistance to third and fourth-generation cephalosporins for

Indexed as

antibacterial agentsantimicrobial surveillancebacteremiadrug resistance bacterial

Identifiers

PMID36277243
PMCPMC9581729
OpenAlexW4306851514

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.