Evidence map›Paper›PMID 19656984›Full record

ArticleJournal of clinical microbiology2009

Molecular surveillance and population structure analysis of methicillin-susceptible and methicillin-resistant Staphylococcus aureus in high-risk wards.

Simona Sergi, Francesca Donnarumma, Giorgio Mastromei, Emanuele Goti, Pierluigi Nicoletti, Patrizia Pecile, Daniela Cecconi, Roberta Mannino, Rosa Fanci, Alberto Bosi and 2 more

Abstract read
In one paragraph

Article in Journal of clinical microbiology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Molecular analysis of population structure and antibiotic resistance of Klebsiella isolates from a three-year surveillance program in Florence hospitals, Italy.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2012
    Article
  2. 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

12 authors.

Simona SergiCIBIACI and Department of Evolutionary Biology, University of Florence, Florence, Italy.
Francesca Donnarumma
Giorgio Mastromei
Emanuele Goti
Pierluigi Nicoletti
Patrizia Pecile
Daniela Cecconi
Roberta Mannino
Rosa Fanci
Alberto Bosi
Benedetta Bartolozzi
Enrico Casalone

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study we report the results of analysis of 253 isolates of Staphylococcus aureus (132 methicillin [meticillin]-resistant S. aureus [MRSA] isolates and 121 methicillin-susceptible S. aureus [MSSA] isolates) from 209 patients admitted to 18 high-risk wards of six hospitals located in Florence, Italy, over an 8-month period during which a program of epidemiological surveillance of hospital-acquired infections was conducted. The majority (69%) of the 87 reported S. aureus infections were caused by MRSA. No outbreak events have been reported. All the isolates were typed by amplified fragment length polymorphism (AFLP), and AFLP profiles were analyzed in order to define similarity groups. The discriminatory power of AFLP is very high with MSSA (Simpson index of diversity [D], 95.9%), whereas its resolution capability with MRSA (D, 44.7%) is hampered by the well-known high clonality of these populations (the main MRSA group accounted for 74% of the MRSA isolates). Combining AFLP, improved by visual inspection of polymorphisms, with multiplex PCR greatly increases MRSA resolution (D, 85.5%), resolving the MRSA population to a level that is one of the highest reported in the literature. Widespread and sporadic clones of MSSA and MRSA were identified, and their diffusion in the different hospitals and wards over the surveillance period was studied. The understanding of MSSA and MRSA population structures should be the starting point for the design of a more rational surveillance program for S. aureus species, maximizing benefits and reducing the cost of infection control strategies.

Indexed as

AdolescentAdultAgedAged, 80 and overAmplified Fragment Length Polymorphism AnalysisBacterial Typing TechniquesChildChild, PreschoolCluster AnalysisCross InfectionDNA, BacterialDNA FingerprintingFemaleGenotypeHospitalsHumansDNA, Bacterial

Identifiers

PMID19656984
PMCPMC2756899

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Registered trials

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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.