Evidence map›Paper›PMID 31673797›Full record

ArticleInternational urogynecology journal2020

Urinary tract infection after clean-contaminated pelvic surgery: a retrospective cohort study and prediction model.

May Sara Sanaee, Kathy Pan, Terry Lee, Nicole A Koenig, Roxana Geoffrion

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Article in International urogynecology journal, 2020. 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
1.1field-weighted citation impact, top 21% 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

5 citing papers in PubMed, 10 citations in OpenAlex.

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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

5 authors at 2 institutions in 1 country.

May Sara SanaeeDepartment of Obstetrics and Gynecology, University of Alberta, 5S118 Lois Hole Hospital for Women, 10240 Kingsway Avenue, Edmonton, AB, T5H 3V9, Canada. may.sanaee@medportal.ca.ORCID 0000-0003-4937-1913
Kathy PanDepartment of Obstetrics and Gynecology, University of British Columbia, Vancouver, Canada.
Terry LeeCentre for Health Evaluation and Outcome Sciences, University of British Columbia, Vancouver, Canada.
Nicole A KoenigDepartment of Obstetrics and Gynecology, University of British Columbia, Vancouver, Canada.
Roxana GeoffrionDepartment of Obstetrics and Gynecology, University of British Columbia, Vancouver, Canada.
University of British Columbia · CAUniversity of Alberta Hospital · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introduction and hypothesisPostoperative urinary tract infection (UTI) leads to increased patient morbidity and health care costs. A prediction model may identify patients at highest risk for UTI development. Our primary objective was to determine the rate of UTI in the first 6 weeks after benign gynecologic surgery. Our secondary objective was to identify risk factors and build a predictive model for postoperative UTI.

methodsWe reviewed 310 patient records, which represent all patients who underwent clean-contaminated surgery at a tertiary center (2016-2017). UTI was defined as positive urine culture (> 100,000,000 CFU/l) in a symptomatic patient. Pre-, intra- and postoperative variables were collected. The relation between these variables and UTI was assessed through logistic regression. A clinical prediction model was built.

resultsPatients' mean age was 58.5 years and mean body mass index was 27.5 kg/m

conclusionsUrinary tract infection in the first 6 weeks after complex pelvic surgery is common. Our prediction model identifies that patients who are older women, have prolonged voiding dysfunction and have a greater number of concomitant pelvic floor surgeries have higher risk of postoperative UTI.

Indexed as

Suburethral SlingsUrinary Tract InfectionsAgedFemaleHumansMiddle AgedModels, StatisticalPostoperative ComplicationsPrognosisRetrospective StudiesDecision support techniquesPelvic floor reconstructionPostoperative infectionPrediction modelUrinary retentionUrinary tract infection

Identifiers

PMID31673797
OpenAlexW2987564385

What OpenQuestion holds

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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.