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Record W3087843062 · doi:10.1007/s40520-020-01712-y

Urinary incontinence and quality of life: a systematic review and meta-analysis

2020· review· en· W3087843062 on OpenAlex
Damiano Pizzol, Jacopo Demurtas, Stefano Celotto, Stefania Maggi, Lee Smith, G. Angiolelli, Mike Trott, Lin Yang, Nicola Veronese

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAging Clinical and Experimental Research · 2020
Typereview
Languageen
FieldMedicine
TopicPelvic floor disorders treatments
Canadian institutionsUniversity of CalgaryAlberta Health Services
Fundersnot available
KeywordsMeta-analysisConfidence intervalMedicineUrinary incontinenceQuality of life (healthcare)Strictly standardized mean differenceCross-sectional studySystematic reviewMEDLINEMean differencePhysical therapyGerontologyInternal medicineSurgeryPathology

Abstract

fetched live from OpenAlex

Abstract Background Urinary incontinence (UI) and low quality of life (QoL) are two common conditions. Some recent literature proposed that these two entities can be associated. However, no attempt was made to collate this literature. Therefore, the aim of this study was to conduct a systematic review and meta-analysis of existing data to estimate the strength of the association between UI and QoL. Methods An electronic search of major databases up to 18th April 2020 was carried out. Meta-analysis of cross-sectional and case–control studies comparing mean values in QoL between patients with UI and controls was performed, reporting random-effects standardized mean differences (SMDs) ± 95% confidence intervals (CIs) as the effect size. Heterogeneity was assessed with the I 2 . Results Out of 8279 articles initially screened, 23 were finally included for a total of 24,983 participants, mainly women. The mean age was ≥ 50 years in 12/23 studies. UI was significantly associated with poor QoL as assessed by the short-form 36 (SF-36) total score ( n = 6 studies; UI: 473 vs. 2971 controls; SMD = − 0.89; 95% CI − 1.3 to − 0.42; I 2 = 93.5) and by the sub-scales of SF-36 and 5/8 of the domains included in the SF-36. Similar results were found using other QoL tools. The risk of bias of the studies included was generally high. Conclusions UI is associated with a poor QoL, with a strong level of certainty. This work, however, mainly based on cross-sectional and case–control studies, highlights the necessity of future longitudinal studies for better understanding the importance of UI on QoL.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.835
Threshold uncertainty score0.856

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0100.001
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.518
GPT teacher head0.596
Teacher spread0.078 · 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