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Record W2419543008

Parameters of successful sacral root neuromodulation of the pelvic floor: a retrospective study.

2004· article· en· W2419543008 on OpenAlexaff
Mahfooz Ab, Nader Elmayergi, Mohamed Abdelhady, Yuezhi Wang, Magdy Hassouna

Bibliographic record

VenuePubMed · 2004
Typearticle
Languageen
FieldMedicine
TopicUrinary Bladder and Prostate Research
Canadian institutionsToronto Western HospitalUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsMedicineSacral nerve stimulationRetrospective cohort studySurgeryNeuromodulationInternal medicine
DOInot available

Abstract

fetched live from OpenAlex

INTRODUCTION/OBJECTIVE: Neuromodulation of the pelvic floor (InterStim) is a relatively new technique in the field of urology. We present our observations for effective neuromodulation on our patient population. MATERIALS AND METHODS: In a retrospective case review study, we studied the charts of 67 patients, who underwent InterStim operations between the years 1993 to 2002. All patients had a good response to InterStim. Patients with inefficient or inconclusive responses were not included in the study. All the relevant patient data was recorded from their charts. For each patient, the following was recorded; the amplitude in volts, the pulse width (in microseconds) and rate, the mode (cycling versus continuous), the electrodes and their position, the load impedance, and the change in amplitude over time. RESULTS: Amplitude over time showed an initial plateau, followed by a small increase that gets larger. CONCLUSIONS: Long-term management of InterStim recipients requires increasing amplitude following the implantation of the IntreStim to maintain the same satisfactory levels of urinary control.

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 score0.008
Threshold uncertainty score0.232

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 head0.028
GPT teacher head0.269
Teacher spread0.240 · 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

Citations14
Published2004
Admission routes1
Has abstractyes

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