Evidence map›Paper›PMID 16776825›Full record

ArticleBMC infectious diseases2006

Secular trends of antimicrobial resistance of blood isolates in a newly founded Greek hospital.

Matthew E Falagas, Sofia K Kasiakou, Dimitra Nikita, Panayiota Morfou, George Georgoulias, Petros I Rafailidis

Abstract read
In one paragraph

Article in BMC infectious diseases, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–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

5 citing papers in PubMed.

  1. Article
  2. Epidemiology of bacteremia episodes in a single center: increase in Gram-negative isolates, antibiotics resistance, and patient age.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2008
    Article
  3. Candidemia in immunocompromised and immunocompetent critically ill patients: a prospective comparative study.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2007
    Article
  4. Article
  5. Article
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

6 authors.

Matthew E FalagasAlfa Institute of Biomedical Sciences (AIBS), Athens, Greece. m.falagas@aibs.gr
Sofia K Kasiakou
Dimitra Nikita
Panayiota Morfou
George Georgoulias
Petros I Rafailidis

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAntimicrobial resistance is one of the most challenging issues in modern medicine.

methodsWe evaluated the secular trends of the relative frequency of blood isolates and of the pattern of their in vitro antimicrobial susceptibility in our hospital during the last four and a half years.

resultsOverall, the data regarding the relative frequency of blood isolates in our newly founded hospital do not differ significantly from those of hospitals that are functioning for a much longer period of time. A noteworthy emerging problem is the increasing antimicrobial resistance of Gram-negative bacteria, mainly Acinetobacter baumannii and Klebsiella pneumoniae to various classes of antibiotics. Acinetobacter baumannii isolates showed an increase of resistance to amikacin (p = 0.019), ciprofloxacin (p = 0.001), imipenem (p < 0.001), and piperacillin/tazobactam (p = 0.01) between the first and second period of the study.

conclusionAn alarming increase of the antimicrobial resistance of Acinetobacter baumannii isolates has been noted during our study.

Indexed as

Drug Resistance, BacterialHospitalsAnti-Bacterial AgentsBacteremiaBacteriaGreeceHumansMicrobial Sensitivity TestsTime FactorsAnti-Bacterial Agents

Identifiers

PMID16776825
PMCPMC1513235

What OpenQuestion holds

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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.