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Record W3162678974 · doi:10.1111/jnu.12671

Urinary Incontinence Is Associated With Increased All‐Cause Mortality in Older Nursing Home Residents: A Meta‐Analysis

2021· article· en· W3162678974 on OpenAlexaboutno aff
Pan Huang, Kai Luo, Chunyan Wang, Dawei Guo, Shixuan Wang, Yuan Jiang, Wenxuan Huang, Weiqiangxin Zhang, Mei Ding, Jiang Wang

Bibliographic record

VenueJournal of Nursing Scholarship · 2021
Typearticle
Languageen
FieldMedicine
TopicPelvic floor disorders treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineMeta-analysisHazard ratioUrinary incontinenceDementiaSubgroup analysisConfidence intervalOdds ratioCohort studyCINAHLInternal medicineGerontologySurgeryNursingPsychological intervention

Abstract

fetched live from OpenAlex

Abstract Purpose Urinary incontinence is a syndrome common in older adults, but it is not clear whether urinary incontinence is associated with the risk for mortality in elderly nursing home residents. Methods We conducted a systematic review and meta‐analysis in PubMed, Cochrane, Embase, the Cumulative Index to Nursing and Allied Health Literature (CINAHL), and Web of Science databases. The Newcastle‐Ottawa Scale (NOS) was used to assess the quality of the included studies. The meta‐analysis was summarized using a random‐effects or fixed‐effects model, and the heterogeneity among studies was examined using the I2 statistic. Findings Six cohort studies with 1,656 participants were included in the final analysis. The NOS score for each study was greater than 6. Urinary incontinence was significantly associated with a higher risk for mortality in nursing homes, with a hazard ratio (HR) of 1.20 (95% confidence interval [CI] 1.12–1.28, I2 = 41.6%). The significant association of urinary incontinence with increased mortality risk was observed in subgroup analysis according to region, status of dementia, and follow‐up period, with a pooled HR of 2.02 (95% CI 1.32–3.11, I2 = 0%) for Asian countries, 1.18 (95% CI 1.11–1.26, I2 = 41.6%) for Western countries, 1.17 (95% CI 1.09–1.26, I2 = 0%) for patients with dementia, 1.35 (95% CI 1.13–1.60, I2 = 58.9%) for patients without dementia, 1.16 (95% CI 1.07–1.25, I2 = 43.2%) for studies with a follow‐up period of 1 year, and 1.30 (95% CI 1.15–1.48, I2 = 24.5%) for studies with a follow‐up period of more than 1 year. Conclusions Urinary incontinence is associated with an increased risk for death among residents of care facilities. Therefore, it was necessary to screen the elderly dwelling in nursing homes who were experiencing or at risk for urinary incontinence with useful tools (e.g., overactive bladder symptom score, bladder control self‐assessment questionnaire, three incontinence questions). In addition, early interventions strategies, such as weight loss, stopping smoking, pelvic floor muscle training, and medical and surgical treatments would contribute to decreasing the risk for urinary incontinence and preventing adverse outcomes in nursing home residents. Clinical Relevance In our study, we found that the elderly with urinary incontinence who resided in nursing homes had a higher risk for mortality than those without urinary incontinence. Therefore, urinary incontinence in the elderly residing in nursing homes is of particular concern. Early detection and intervention are important for the elderly with urinary incontinence, and caregivers should be made aware of this importance.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.009
metaresearch head score (Gemma)0.020
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.017
Threshold uncertainty score0.048

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.020
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0170.048
Bibliometrics0.0040.005
Science and technology studies0.0010.001
Scholarly communication0.0030.001
Open science0.0020.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.086
GPT teacher head0.375
Teacher spread0.290 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designMeta-analysis
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations33
Published2021
Admission routes1
Has abstractyes

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