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Record W2077296846 · doi:10.1097/spv.0b013e3181ed424e

Long-Term Impact of Abdominal Sacral Colpoperineopexy on Symptoms of Obstructed Defecation

2010· article· en· W2077296846 on OpenAlexaff
Cara L. Grimes, Lieschen H. Quiroz, Robert E. Gutman, Stuart Shippey, Geoffrey W. Cundiff, Victoria L. Handa

Bibliographic record

VenueFemale Pelvic Medicine & Reconstructive Surgery · 2010
Typearticle
Languageen
FieldMedicine
TopicPelvic floor disorders treatments
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMedicineObstructed defecationDefecationTerm (time)Surgery

Abstract

fetched live from OpenAlex

OBJECTIVE: : To determine the long-term impact of abdominal sacral colpoperineopexy on symptoms of obstructed defecation. METHODS: : This is a long-term retrospective cohort study. We included women who underwent abdominal sacral colpoperineopexy at our institution between 2001 and 2005. We compared preoperative and postoperative symptoms using the Pelvic Floor Distress Inventory Short Form 20. Postoperative status was assessed on a mailed postal questionnaire. Obstructed defecation was defined using items from the colorectal-anal obstructive subscale. We also assessed patient satisfaction. Descriptive statistics were computed using standard methods for mean, median and proportions. RESULTS: : The study includes 38 women (21 completed both preoperative and postoperative questionnaires). Of 27 women completing the postoperative questionnaire at a median follow-up of 65 months (range 35-90 months), 23 (85%) reported obstructed defecatory symptoms and 12 (52%) reported bothersome symptoms. Sixty-three percent were satisfied with the results of their surgery. CONCLUSIONS: : Abdominal sacral colpoperineopexy is unlikely to eliminate symptoms of obstructed defecation, although two-thirds of the participants remain satisfied with their surgery at 5 years.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.117
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.020
GPT teacher head0.304
Teacher spread0.283 · 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.

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

Citations9
Published2010
Admission routes1
Has abstractyes

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