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Record W2561087353 · doi:10.1016/j.jsxm.2016.11.059

106 Salvage of Post-Prostatectomy Injection Therapy (With and Without Venoseal for Cvod) Treatment Failures by Injection Therapy Coupled With Novel Silicone Loop Occlusion Device

2016· article· en· W2561087353 on OpenAlexaffabout
A.M. Littlemore, L. Laing, Anthony J Bella

Bibliographic record

VenueThe Journal of Sexual Medicine · 2016
Typearticle
Languageen
FieldMedicine
TopicSexual function and dysfunction studies
Canadian institutionsHealth CanadaUniversity of Ottawa
Fundersnot available
KeywordsMedicineProstatectomyErectile dysfunctionSalvage therapySurgerySiliconeRefractory (planetary science)UrologyPenile prosthesisProstate cancerInternal medicineChemotherapyCancer

Abstract

fetched live from OpenAlex

Men with refractory erectile dysfunction (ED) post radical prostatectomy (RP) often demonstrate concurrent cavernous veno-occlusive disease (CVOD). Failing injection therapy or injection therapy (ICI) coupled with a Venoseal (VS) or similar device most often limits pt treatment options to surgery (penile prosthesis - PP). Given limited options for refractory ED/CVOD in this group, we sought to determine whether a novel soft silicone loop occlusive device (SSLO) satisfying FDA and Health Canada standards could salvage ICI-VS failures. Eleven men at least 18 months post-RP, having failed ICI and ICI-VS for satisfactory sexual function but attaining EHS scores of 1 or 2, comprised the study group. Prior to study, in-office testing and then teaching of ICI at 1 cc DS trimix (mean no. of visits 4), follow-up (FU) at 4 weeks at which point the VS was added to ICI with repeat in-office testing/teaching with 1 cc DS trimix, and FU at 8 weeks of use was performed. No patients attained an EHS 3 or better in office or at home. Options for treatment were reviewed, including surgery, VED, or an in-office test with ICI 1 cc DS trimix and the SSLO March 5 2016. The 11 patients choosing to trial ICI-SSLO at home underwent review May 14 and June 4 2016.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.820
Threshold uncertainty score0.425

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.037
GPT teacher head0.306
Teacher spread0.269 · 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 designBench or experimental
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

Citations3
Published2016
Admission routes2
Has abstractyes

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