Evidence map›Paper›PMID 31010864›Full record

ArticleAntimicrobial agents and chemotherapy2019

Joint Modeling of Resistance to Six Antimicrobials in Urinary Escherichia coli Isolates in Quebec, Canada.

Jean-Paul R Soucy, Alexandra M Schmidt, Charles Frenette, Patrick Dolcé, Alexandre A Boudreault, David L Buckeridge, Caroline Quach

Open access · hybridAbstract read
In one paragraph

Article in Antimicrobial agents and chemotherapy, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 47% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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 6 institutions in 1 country.

Jean-Paul R SoucyDivision of Epidemiology, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.
Alexandra M SchmidtDepartment of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, Quebec, Canada.
Charles FrenetteInfectious Disease Department, McGill University Health Centre, Montréal, Quebec, Canada.
Patrick DolcéDepartment of Medical Microbiology and Infectious Diseases, Centre Hospitalier Régional de Rimouski, Rimouski, Quebec, Canada.
Alexandre A BoudreaultDépartement de Microbiologie-infectiologie et d'Immunologie, Université Laval, Québec City, Quebec, Canada.
David L BuckeridgeDepartment of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, Quebec, Canada.
Caroline QuachDepartment of Microbiology, Infectious Diseases & Immunology, Université de Montréal, Montréal, Quebec, Canada c.quach@umontreal.ca.ORCID 0000-0002-1170-9475
McGill University · CACégep de Rimouski · CACentre Hospitalier Universitaire Sainte-Justine · CAMcGill University Health Centre · CAUniversité Laval · CAUniversity of Toronto · CA

Funding

CIHR
6 · The paper itself

Abstract

Empirical treatment of urinary tract infections should be based on susceptibility profiles specific to the locale and patient population. Additionally, these susceptibility profiles should account for correlations between resistance to different types of antimicrobials. We used hierarchical logistic regression models to investigate geographic, temporal, and demographic trends in resistance to six antimicrobials in community-acquired and nosocomial urinary

Indexed as

AdolescentAdultAgedAged, 80 and overAnti-Infective AgentsCommunity-Acquired InfectionsDrug Resistance, BacterialEscherichia coliEscherichia coli InfectionsFemaleHumansMaleMicrobial Sensitivity TestsMiddle AgedQuebecUrinary TractAnti-Infective AgentsEscherichia colihierarchical modelinglaboratory dataresistancesurveillance

Identifiers

PMID31010864
PMCPMC6591649
OpenAlexW2941801251

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.