Evidence map›Paper›PMID 29132352›Full record

ArticleAnnals of clinical microbiology and antimicrobials2017

Intensive care antibiotic consumption and resistance patterns: a cross-correlation analysis.

Luminita Baditoiu, Carmen Axente, Diana Lungeanu, Delia Muntean, Florin Horhat, Roxana Moldovan, Elena Hogea, Ovidiu Bedreag, Dorel Sandesc, Monica Licker

Open access · goldAbstract read
In one paragraph

Article in Annals of clinical microbiology and antimicrobials, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
3.3field-weighted citation impact, top 7% 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

27 citing papers in PubMed, 46 citations in OpenAlex.

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  11. Relationship between Antibiotic Consumption and Resistance: A Systematic Review.The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2024
    Review
  12. Article
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  15. The Effect of Decreased Antipseudomonal Drug Consumption onAntibiotics (Basel, Switzerland) · 2023
    Article
  16. Antibiotic resistance and consumption before and during the COVID-19 pandemic in Valle del Cauca, Colombia.Revista panamericana de salud publica = Pan American journal of public health · 2023
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  17. Review
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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

10 authors at 2 institutions in 1 country.

Luminita BaditoiuEpidemiology Department, "Victor Babes" University of Medicine and Pharmacy, Timisoara, Romania.
Carmen AxenteMicrobiology Department, "Victor Babes" University of Medicine and Pharmacy, 16 Victor Babes, Timisoara, Romania. carmen.axente@gmail.com.
Diana LungeanuDepartment of Functional Sciences, Centre for Modelling Biological Processes and Data Analysis, "Victor Babes" University of Medicine and Pharmacy, Timisoara, Romania.
Delia MunteanMicrobiology Department, "Victor Babes" University of Medicine and Pharmacy, 16 Victor Babes, Timisoara, Romania.
Florin HorhatMicrobiology Department, "Victor Babes" University of Medicine and Pharmacy, 16 Victor Babes, Timisoara, Romania.
Roxana MoldovanMicrobiology Department, "Victor Babes" University of Medicine and Pharmacy, 16 Victor Babes, Timisoara, Romania.
Elena HogeaMicrobiology Department, "Victor Babes" University of Medicine and Pharmacy, 16 Victor Babes, Timisoara, Romania.
Ovidiu Bedreag"Pius Branzeu" Emergency Clinical County Hospital, Timisoara, Romania.
Dorel Sandesc"Pius Branzeu" Emergency Clinical County Hospital, Timisoara, Romania.
Monica LickerMicrobiology Department, "Victor Babes" University of Medicine and Pharmacy, 16 Victor Babes, Timisoara, Romania.
Victor Babeș University of Medicine and Pharmacy Timișoara · ROCamera de Comerț Industrie și Agricultură Timișoara · RO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOver recent decades, a dramatic increase in infections caused by multidrug-resistant pathogens has been observed worldwide. The aim of the present study was to investigate the relationship between local resistance bacterial patterns and antibiotic consumption in an intensive care unit in a Romanian university hospital.

methodsA prospective study was conducted between 1st January 2012 and 31st December 2013. Data covering the consumption of antibacterial drugs and the incidence density for the main resistance phenotypes was collected on a monthly basis, and this data was aggregated quarterly. The relationship between the antibiotic consumption and resistance was investigated using cross-correlation, and four regression models were constructed, using the SPSS version 20.0 (IBM, Chicago, IL) and the R version 3.2.3 packages.

resultsDuring the period studied, the incidence of combined-resistant and carbapenem-resistant P. aeruginosa strains increased significantly [(gradient = 0.78, R

conclusionsThe cross-correlation coefficients and the fitted regression models provide additional evidence that resistance during the a given quarter depends not only on the consumption of antibacterial chemotherapeutic drugs in both that quarter and the previous one, but also on the incidence of resistant strains circulating during the previous quarter.

Indexed as

Critical CareIntensive Care UnitsAnti-Bacterial AgentsBacteriabeta-Lactamase Inhibitorsbeta-LactamsCarbapenemsDrug Resistance, Multiple, BacterialDrug UtilizationHumansImipenemMeropenemMicrobial Sensitivity TestsPenicillanic AcidPhenotypePiperacillinAnti-Bacterial Agentsbeta-Lactamase Inhibitorsbeta-LactamsCarbapenemsImipenemMeropenemPenicillanic AcidPiperacillinPiperacillin, Tazobactam Drug CombinationThienamycinsAntibiotic consumptionDefined daily doseICUMultidrug resistanceRegression modeling

Identifiers

PMID29132352
PMCPMC5683545
OpenAlexW2769136010

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.