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Record W2775728559 · doi:10.1016/j.jsxm.2017.10.063

Erectile Dysfunction Medications and Treatment for Cardiometabolic Risk Factors: A Pharmacoepidemiologic Study

2017· article· en· W2775728559 on OpenAlexafffundabout
Sean Skeldon, Lucy Cheng, Steven G. Morgan, Allan S. Detsky, S. Larry Goldenberg, Michael R. Law

Bibliographic record

VenueThe Journal of Sexual Medicine · 2017
Typearticle
Languageen
FieldMedicine
TopicSexual function and dysfunction studies
Canadian institutionsMount Sinai HospitalCentre for Family MedicineUniversity Health NetworkInstitute of Population and Public HealthUniversity of TorontoInstitute of Health Services and Policy ResearchUniversity of British Columbia
FundersCanadian Institutes of Health Research
KeywordsMedicineErectile dysfunctionMedical prescriptionInternal medicineType 2 diabetesDiabetes mellitusPopulationStatinRetrospective cohort studyPolypharmacyPharmacoepidemiologyCohortEndocrinologyPharmacologyEnvironmental health

Abstract

fetched live from OpenAlex

BACKGROUND: Erectile dysfunction (ED) can be a sentinel marker for future cardiovascular disease and has been described as providing a "window of curability" for men to receive targeted cardiovascular risk assessment. AIM: To determine whether the prescription of phosphodiesterase type 5 inhibitors (PDE5is) for ED leads to the detection and treatment of previously undiagnosed cardiometabolic risk factors. METHODS: We performed a retrospective population-based cohort study of residents of British Columbia, Canada using linked health care databases from 2004 to 2011. An individual-level time series analysis with switching replications was used to determine changes in drug use for hypertension, hypercholesterolemia, and diabetes in men 40 to 59 years old. The observation window for each patient was 720 days before and 360 days after the index date. OUTCOMES: The primary outcome was changes in prescriptions for antihypertensive, statin, and oral antidiabetic drugs, with secondary outcomes being laboratory tests for plasma cholesterol and glucose. RESULTS: 5,858 men 40 to 59 years old newly prescribed a PDE5i were included in the analysis. We found a sudden increase in prescriptions for antihypertensive drugs (40 per 1,000; P < .001), statins (10 per 1,000; P = .001), and antidiabetic drugs (17 per 1,000; P = .002) in the 90 days after a new prescription for a PDE5i. For hypercholesterolemia and diabetes, most of this change was observed in men with relevant screening tests performed in the 30 days after their PDE5i prescription. Only 15% and 17% of men who did not have a screening test for cholesterol and glucose, respectively, in the year before their PDE5i prescription went on to have one in the subsequent 30 days. CLINICAL IMPLICATIONS: The paucity of screening tests observed in our study after PDE5i prescriptions suggests that physicians should be educated on the recommended screening guidelines for men newly diagnosed with ED. STRENGTHS AND LIMITATIONS: The number of men who were ordered a laboratory test or written a prescription but chose not to complete or fill it, respectively, is unknown. CONCLUSION: Treatment for ED with PDE5is can be a trigger or "gateway drug" for the early detection and treatment of cardiometabolic risk factors provided physicians perform the requisite screening investigations. Skeldon SC, Cheng L, Morgan SG, et al. Erectile Dysfunction Medications and Treatment for Cardiometabolic Risk Factors: A Pharmacoepidemiologic Study. J Sex Med 2017;14:1597-1605.

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)0.002
metaresearch head score (Gemma)0.004
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 score0.071
Threshold uncertainty score0.140

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.003
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.170
GPT teacher head0.423
Teacher spread0.253 · 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

Citations7
Published2017
Admission routes3
Has abstractyes

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