Evidence map›Paper›PMID 33891339›Full record

ArticleNeurourology and urodynamics2021

Risk factors for urinary retention after urogynecologic surgery: A retrospective cohort study and prediction model.

Bei Yuan Zhang, Jeffrey Man Hay Wong, Nicole A Koenig, Terry Lee, Roxana Geoffrion

Abstract read
PubMed Publisher
In one paragraph

Article in Neurourology and urodynamics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 27% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Bei Yuan ZhangDepartment of Obstetrics and Gynecology, University of British Columbia, Vancouver, British Columbia, Canada.ORCID 0000-0001-5843-0087
Jeffrey Man Hay WongDepartment of Obstetrics and Gynecology, University of British Columbia, Vancouver, British Columbia, Canada.ORCID 0000-0001-9164-3383
Nicole A KoenigDepartment of Obstetrics and Gynecology, University of British Columbia, Vancouver, British Columbia, Canada.
Terry LeeCenter for Health Evaluation & Outcome Sciences,  University of British Columbia, Vancouver, British Columbia, Canada.
Roxana GeoffrionDepartment of Obstetrics and Gynecology, University of British Columbia, Vancouver, British Columbia, Canada.ORCID 0000-0003-1194-0842
University of British Columbia · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsPostoperative urinary retention (POUR) is a common complication of urogynecological surgery. Our study aimed to identify demographic and perioperative risk factors to construct a prediction model for POUR in urogynecology.

methodsOur retrospective cohort study reviewed all patients undergoing pelvic reconstructive surgeries at our tertiary care center (Jan 1, 2013-May 1, 2019). Demographic, pre-, intra- and postoperative variables were collected from medical records. The primary outcome, POUR, was defined as (1) early POUR (E-POUR), failing initial trial of void or; (2) late POUR (L-POUR), requiring an indwelling catheter or intermittent catheterization on discharge. Risk factors were identified through univariate and multivariate logistic regression analyses. A clinical prediction model was constructed with the most significant and clinically relevant risk factors.

resultsIn 501 women, 182 (36.3%) had E-POUR and 61 of these women (12.2% of the entire cohort) had L-POUR. Multivariate logistic regression revealed preoperative postvoid residual (PVR) over 200 ml (odds ratio [OR]: 3.17; p = 0.026), voiding dysfunction symptoms extracted from validated questionnaires (OR: 3.00; p = 0.030), and number of concomitant procedures (OR: 1.30 per procedure; p = 0.021) as significant predictors of E-POUR; preoperative PVR more than 200 ml (OR: 4.07; p = 0.011) and antiincontinence procedure with (OR: 3.34; p = 0.023) and without (OR: 2.64; p = 0.019) concomitant prolapse repair as significant predictors of L-POUR. A prediction model (area under the curve: 0.70) was developed for E-POUR.

conclusionsElevated preoperative PVR is the most significant risk factor for POUR. Alongside other risk factors, our prediction model for POUR can be used for patient counseling and surgical planning in urogynecologic surgery.

Indexed as

Urinary RetentionFemaleHumansModels, StatisticalPostoperative ComplicationsPrognosisRetrospective StudiesRisk Factorspostvoid residualtrial of voidurinary catheterizationurinary retention

Identifiers

PMID33891339
OpenAlexW3154599927

What OpenQuestion holds

Textmetadata
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.