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Record W2524035794 · doi:10.18553/jmcp.2016.22.10.1204

Comparing Clinical and Economic Outcomes Associated with Early Initiation of Combination Therapy of an Alpha Blocker and Dutasteride or Finasteride in Men with Benign Prostatic Hyperplasia in the United States

2016· article· en· W2524035794 on OpenAlexaff
Maral DerSarkissian, Yongling Xiao, Mei Sheng Duh, Patrick Lefèbvre, Andrine R. Swensen, Christopher F. Bell

Bibliographic record

VenueJournal of Managed Care & Specialty Pharmacy · 2016
Typearticle
Languageen
FieldMedicine
TopicUrinary Bladder and Prostate Research
Canadian institutionsGroup for Research in Decision Analysis
Fundersnot available
KeywordsDutasterideFinasterideMedicineBenign prostatic hyperplasia (BPH)5 Alpha-Reductase InhibitorUrologyHyperplasiaErectile dysfunctionInternal medicineProstate

Abstract

fetched live from OpenAlex

BACKGROUND: Benign prostatic hyperplasia (BPH) is a common disease in men that is characterized by lower urinary tract symptoms. Pharmacologic treatment with alpha blockers (ABs) and 5-alpha reductase inhibitors (5ARIs) is recommended to alleviate symptoms, prevent disease progression that can lead to complications, and reduce health care costs. OBJECTIVE: To compare clinical, economic, and health care resource utilization outcomes among BPH patients treated with early continuous combination AB and 5ARI therapy (dutasteride vs. finasteride) using administrative claims data from the United States. METHODS: A retrospective analysis of administrative claims data from 2003-2013 was conducted to compare outcomes between patients with claims for early combination therapy with dutasteride + AB and patients with claims for early finasteride + AB. The study population included males aged older than 50 years with at least 1 medical claim with a diagnosis of BPH and pharmacy dispensing for AB and 5ARI therapies. Outcomes included acute urinary retention (AUR), prostate-related surgery, clinical progression, medical and pharmacy costs, and health care resource utilization. Inverse probability of treatment (IPT) weighted Cox proportional hazards, linear, and Poisson regression models were used to assess the association between outcomes and early combination therapy as appropriate. RESULTS: A total of 2,778 patients were included in the early finasteride + AB treatment cohort, and 4,125 patients were included in the early dutasteride + AB cohort. Dutasteride users were younger than finasteride users (mean age: 64.8 vs. 67.5 years, P < 0.001) and had a greater mean number of urologist visits (10.7 vs. 7.9, P < 0.001) during baseline. After adjusting for confounding using IPT weighting, no statistically significant difference was observed between dutasteride and finasteride for AUR (hazard ratio [HR] = 0.845, 95% CI = 0.660-1.070, P = 0.1643), prostate-related surgery (HR = 0.806, 95% CI = 0.568-1.171, P = 0.2525), and clinical progression (HR = 0.834, 95% CI = 0.663-1.043, P = 0.1122). While dutasteride was associated with higher pharmacy costs per month (adjusted monthly cost difference = $79, 95% CI = $45-$105), total all-cause medical costs were not significantly different between the 2 cohorts (adjusted monthly cost difference = -$44, 95% CI = -$110-$22). CONCLUSIONS: Clinical and economic outcomes were similar between the early dutasteride + AB and early finasteride + AB cohorts, with no statistically significant differences detected. DISCLOSURES: Funding for this study was provided by GlaxoSmithKline (HO-14-15325 and AVO110072). Bell and Swensen are employees of GlaxoSmithKline. DerSarkissian, Xiao, Duh, and Lefebvre are employed by Analysis Group, a consulting company that received research grants from GlaxoSmithKline to conduct this study. Study concept and design were contributed by Bell, Swensen, Lefebvre, and Duh. Bell and Duh acquired the data. DerSarkissian and Xiao performed the statistical analysis and interpreted the data along with Lefebvre, Duh, and Bell. DerSarkissian and Bell drafted the manuscript. All authors contributed equally to critically revising the manuscript and providing final approval of the submitted manuscript.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.243

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.069
GPT teacher head0.371
Teacher spread0.302 · 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".

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Citations9
Published2016
Admission routes1
Has abstractyes

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