Evidence map›Paper›PMID 30949542›Full record

ArticleOpen forum infectious diseases2019

Performance of an Easy and Simple New Scoring Model in Predicting Multidrug-Resistant Enterobacteriaceae in Community-Acquired Urinary Tract Infections.

Houda Ben Ayed, Makram Koubaa, Fatma Hammami, Chakib Marrakchi, Khaoula Rekik, Tarak Ben Jemaa, Imed Maaloul, Sourour Yaich, Jamel Damak, Mounir Ben Jemaa

Open access · goldAbstract read
In one paragraph

Article in Open forum infectious diseases, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

21 citing papers in PubMed, 30 citations in OpenAlex.

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  19. Considerations and Caveats in Combating ESKAPE Pathogens against Nosocomial Infections.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2020
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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.

Houda Ben AyedCommunity Health and Epidemiology Department, Hedi Chaker University Hospital, University of Sfax, Sfax, Tunisia.
Makram KoubaaInfectious Diseases Department, Hedi Chaker University Hospital, University of Sfax, Sfax, Tunisia.
Fatma HammamiInfectious Diseases Department, Hedi Chaker University Hospital, University of Sfax, Sfax, Tunisia.
Chakib MarrakchiInfectious Diseases Department, Hedi Chaker University Hospital, University of Sfax, Sfax, Tunisia.
Khaoula RekikInfectious Diseases Department, Hedi Chaker University Hospital, University of Sfax, Sfax, Tunisia.
Tarak Ben JemaaInfectious Diseases Department, Hedi Chaker University Hospital, University of Sfax, Sfax, Tunisia.
Imed MaaloulInfectious Diseases Department, Hedi Chaker University Hospital, University of Sfax, Sfax, Tunisia.
Sourour YaichCommunity Health and Epidemiology Department, Hedi Chaker University Hospital, University of Sfax, Sfax, Tunisia.
Jamel DamakCommunity Health and Epidemiology Department, Hedi Chaker University Hospital, University of Sfax, Sfax, Tunisia.
Mounir Ben JemaaInfectious Diseases Department, Hedi Chaker University Hospital, University of Sfax, Sfax, Tunisia.
Hopital Universitaire Hedi Chaker · TNUniversity of Sfax · TN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMultidrug resistance (MDR) is a growing global problem in bacterial community-acquired urinary tract infections (CUTIs). We aimed to propose an easy-to-use clinical prediction model to identify patients with MDR in CUTI.

methodsWe conducted a retrospective study including 770 patients with documented CUTI diagnosed during 2010-2017. Logistic regression-based prediction scores were calculated based on variables independently associated with MDR. Sensitivities and specificities at various cutoff points were determined, and the area under the receiver operating characteristic curve (AUROC) was computed.

resultsWe found MDR Enterobacteriaceae in 372 cases (45.1%). Multivariate analysis showed that age ≥70 years (adjusted odds ratio [aOR], 2.5; 95% confidence interval [CI], 1.8-3.5), diabetes mellitus (aOR, 1.65; 95% CI, 1.19-2.3), history of urinary tract surgery in the last 12 months (aOR, 4.5; 95% CI, 1.22-17), and previous antimicrobial therapy in the last 3 months (aOR, 4.6; 95% CI, 3-7) were independent risk factors of MDR in CUTI. The results of Hosmer-Lemshow chi-square testing were indicative of good calibration of the model (χ

conclusionsWe developed a novel scoring system that can reliably identify patients likely to be harboring MDR in CUTI.

Indexed as

community-acquired urinary tract infectionmultidrug resistancerisk factorsscore

Identifiers

PMID30949542
PMCPMC6441566
OpenAlexW2918664136

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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.