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Do men with mild erectile dysfunction have the same risk factors as the general erectile dysfunction clinical trial population?

2010· article· en· W1559558202 on OpenAlexafffund
Lee Jc, François Bénard, Serge Carrier, Varun Talwar, Isabelle Defoy

Bibliographic record

VenueBritish Journal of Urology · 2010
Typearticle
Languageen
FieldMedicine
TopicSexual function and dysfunction studies
Canadian institutionsPfizer (Canada)McGill UniversityJewish General HospitalRockyview General Hospital
FundersPfizer CanadaPfizer
KeywordsMedicineErectile dysfunctionInternal medicineDiabetes mellitusPopulationDepression (economics)SildenafilPlaceboEndocrinology

Abstract

fetched live from OpenAlex

Study Type – Symptom prevalence (prospective cohort/RCT) Level of Evidence 1b What’s known on the subject? and What does the study add? Erectile dysfunction (ED) that is mild (score of 22–25 on the Erectile Function domain of the International Index of Erectile Function) is often overlooked in clinical practice because men do not seek treatment or because healthcare professionals consider complaints of mild ED to be irrelevant and fail to evaluate such patients. ED is associated with increased prevalence of diseases that accompany ageing, including cardiovascular disease and diabetes, but there do not appear to be any published epidemiological data on the prevalence or risk for such diseases in populations of men with mild ED. Greater understanding of this population’s underlying risk for diseases associated with ED may highlight the importance of earlier diagnosis and treatment. In this study, the underlying risk for diseases associated with ED is compared between the first large population of men with mild ED for whom demographic and baseline data have been reported and a manufacturer’s database of men (representing the general ED clinical trial population), which is the largest population of men with ED for whom demographic and baseline data have been reported. The findings show that men with mild ED may have substantial underlying risk for diseases associated with ED, including hypertension, diabetes, and lipid disorders. OBJECTIVE • To compare the underlying risk for diseases associated with erectile dysfunction (ED; i.e. cardiovascular disease and diabetes) in a population of men with mild ED relative to a general ED clinical trial population. PATIENTS AND METHODS • Men enrolled in a randomized, double‐blind placebo‐controlled (DBPC) trial of sildenafil for the treatment of mild ED were compared with a database of men enrolled in 67 of the manufacturer’s other DBPC sildenafil trials. • The main outcome measures were baseline demographics, comorbidities and concomitant medications. RESULTS • In both populations, most men were white, approximately one quarter were smokers, and most had an organic component to their ED etiology. • In the mild ED population ( N = 176) versus the database population ( N = 14 537), mean ± sd (range) age was 50 ± 12 (19–84) versus 55 ± 11 (18–89) years, body mass index was 29 ± 5 (20–48) versus 28 ± 5 (11–64) kg/m 2 and ED duration was 3.5 ± 3.2 (<1–18) versus 4.6 ± 4.7 (<1–45) years. • The prevalence of comorbidities associated with ED was similar (hypertension 26.1% ( n = 46) vs 32.8%; diabetes mellitus 13.6% ( n = 24) vs 22.1%; dyslipidemias 12.5% ( n = 22) vs 11.7%; hypercholesterolemia 12.5% ( n = 22) vs 9.5%; gastro‐esophageal reflux disease 10.8% ( n = 19) vs 6.0%; benign prostatic hyperplasia 9.7% ( n = 17) vs 9.9%; depression 6.3% ( n = 11) vs 5.6%; and anxiety 4.0% ( n = 7) vs 1.6%), as was the rate of use of medications for those comorbidities. CONCLUSIONS • Men with mild ED have similar risk factors to a general ED clinical trial population. Thus, mild ED is an important indicator of risk for underlying disease associated with ED. • Inquiry into ED should be part of routine clinical evaluation to facilitate rapid identification and early intervention. • Men complaining of mild ED should be evaluated adequately for underlying cardiovascular risk.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.023
metaresearch head score (Gemma)0.053
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.023
Threshold uncertainty score0.121

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0230.053
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0050.006
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0060.001

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 head0.043
GPT teacher head0.336
Teacher spread0.293 · 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 source (direct Gemma or distilled Codex), 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

Citations26
Published2010
Admission routes2
Has abstractyes

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