MétaCan
Menu
Back to cohort
Record W2018271444 · doi:10.1093/ageing/afn108

Rating improvements in urinary incontinence: do patients and their physicians agree?

2008· article· en· W2018271444 on OpenAlexaffabout
Cara Tannenbaum, Judith Brouillette, J. Corcos

Bibliographic record

VenueAge and Ageing · 2008
Typearticle
Languageen
FieldMedicine
TopicPelvic floor disorders treatments
Canadian institutionsJewish General HospitalUniversité de MontréalInstitut Universitaire de Gériatrie de Montréal
Fundersnot available
KeywordsMedicineConcordancePsychological interventionUrinary incontinenceQuality of life (healthcare)Physical therapyInternal medicineSurgeryPsychiatry

Abstract

fetched live from OpenAlex

OBJECTIVE: to determine whether patients' perceptions of improvement following behavioural interventions for urinary incontinence (UI) correspond with physicians' global ratings of change, and to compare both these ratings with more objective UI outcome measures. METHODS: consecutive new female patients aged 65 years and older recruited from outpatient UI clinics in Quebec received a behavioural management protocol for UI. At 3-month follow-up, patients and physicians were independently asked for their global impression of change in UI status. Patients completed 3-day voiding diaries and a UI-specific quality-of-life index before and after treatment. RESULTS: 108 patients (mean age 73 +/- 5 years, range 65-86 years) with stress, urge and mixed UI participated. There was concordance between patients' and physicians' ratings of change in 57% of cases. Among the remaining cases, patients were 1.6 times as likely to report significant improvements compared to physicians. Patients' ratings correlated more strongly with improvements in UI episodes in the voiding diary (r = 0.4, P = 0.002 versus r = 0.3, P = 0.004 for physicians) and on the quality-of-life index (r = -0.5, P < 0.0001 versus r = -0.4, P < 0.0001 for physicians). CONCLUSION: physicians underestimate clinically meaningful changes in UI in older women following behavioural interventions.

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.225
Threshold uncertainty score0.415

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.010
GPT teacher head0.227
Teacher spread0.217 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations20
Published2008
Admission routes2
Has abstractyes

Explore more

Same venueAge and AgeingSame topicPelvic floor disorders treatmentsFrench-language works237,207