Evidence map›Paper›PMID 25578301›Full record

ArticleEpidemiology and infection2015

A space-time model for carbapenemase-producing Klebsiella pneumoniae (KPC) cluster quantification in a high-complexity hospital.

C S Abboud, J Monteiro, J I D França, A C Pignatari, E E De Souza, E C G Camargo, A M V Monteiro, R G Dos Santos, C R V Kiffer

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Epidemiology and infection, 2015. 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
–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

3 citing papers in PubMed.

  1. Article
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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

9 authors.

C S AbboudInstituto Dante Pazzanese de Cardiologia,São Paulo,Brazil.
J MonteiroAssociação Fundo de Incentivo a Pesquisa (AFIP),São Paulo,Brazil.
J I D FrançaInstituto Dante Pazzanese de Cardiologia,São Paulo,Brazil.
A C PignatariUniversidade Federal de São Paulo, Escola Paulista de Medicina,UNIFESP,São Paulo,Brazil.
E E De SouzaInstituto Dante Pazzanese de Cardiologia,São Paulo,Brazil.
E C G CamargoInstituto Nacional de Pesquisas Espaciais (INPE),São José dos Campos,São Paulo,Brazil.
A M V MonteiroInstituto Nacional de Pesquisas Espaciais (INPE),São José dos Campos,São Paulo,Brazil.
R G Dos SantosUniversidade Federal de São Paulo, Escola Paulista de Medicina,UNIFESP,São Paulo,Brazil.
C R V KifferUniversidade Federal de São Paulo, Escola Paulista de Medicina,UNIFESP,São Paulo,Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A retrospective space-time permutation model with non-Euclidean distance criteria was applied within a high-complexity hospital setting to quantitatively explore cluster patterns of 273 patients infected with or colonized by carbapenemase-producing Klebsiella pneumoniae during 4 years. Results were compared to standard nosocomial active-surveillance methods. Two clusters were identified in the period, suggesting that space-time strategies for cluster quantification within confined environments may be useful.

Indexed as

Disease OutbreaksModels, StatisticalBacterial Proteinsbeta-LactamasesCarrier StateCluster AnalysisCross InfectionFemaleHospitalsHumansKlebsiella InfectionsKlebsiella pneumoniaeMaleMicrobial Sensitivity TestsPopulation SurveillanceRetrospective StudiesBacterial Proteinsbeta-LactamasescarbapenemaseKPCoutbreaksspace–timesurveillance

Identifiers

PMID25578301
PMCPMC9151047

What OpenQuestion holds

Textmetadata
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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.