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Record W2042558122 · doi:10.1007/s00192-009-0888-8

The association between diabetes mellitus and urinary incontinence in adult women

2009· article· en· W2042558122 on OpenAlexaff
Yenal Izci, Pınar Topsever, Tuncay Müge Filiz, Nursan Çınar, Cefariye Uludağ, Toine Lagro‐Janssen

Bibliographic record

VenueInternational Urogynecology Journal · 2009
Typearticle
Languageen
FieldMedicine
TopicPelvic floor disorders treatments
Canadian institutionsCentre for Family Medicine
Fundersnot available
KeywordsMedicineDiabetes mellitusUrinary incontinenceBody mass indexConfoundingCross-sectional studyInternal medicineUrinary systemGynecologyEndocrinologyUrology

Abstract

fetched live from OpenAlex

INTRODUCTION AND HYPOTHESIS: The purpose of the study was to investigate the relationship of diabetes mellitus and urinary incontinence in adult women. METHODS: We conducted a cross-sectional, comparative study with a case-control design. One thousand three hundred eighty-one women (aged 20-87 years) attending six Primary Healthcare Centers in Turkey were enrolled in this study, after giving their informed consent. Subjects were dichotomized into cases and controls according to presence of diabetes mellitus (DM) and were matched for the confounding factors age, body mass index (BMI), and reproductive history. RESULTS: Nine hundred ten women were included: 273 diabetics and 637 non-diabetics. Diabetes was shown to be associated with a 2.5-fold risk increase for urinary incontinence (UI), and age and BMI were weakly associated with UI. UI was significantly more prevalent in diabetic women: 41% diabetic and 22.1% non-diabetic women reported UI (p < 0.001). Age, BMI, and DM were revealed as independent determinants of UI in adult women. Urge incontinence was more prevalent in non-diabetic women, whereas stress and mixed incontinence were more prevalent among diabetic women. CONCLUSIONS: DM is the most important independent determinant of UI.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.039
Threshold uncertainty score0.300

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.006
GPT teacher head0.257
Teacher spread0.251 · 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

Citations77
Published2009
Admission routes1
Has abstractyes

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