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Enregistrement W7133063861

Cost and Clinical Effectiveness of High-Intensity Focused Ultrasound versus Open Radical Prostatectomy, Robot-Assisted Radical Prostatectomy, or External Beam Radiation Therapy in Men with Localized Low and Intermediate Risk Prostate Cancer: A Cost-Utility Analysis

2025· dissertation· W7133063861 sur OpenAlexaboutno aff
Bassem Mohammed Toeama

Notice bibliographique

RevueTSpace · 2025
Typedissertation
Langue
DomaineMedicine
ThématiqueProstate Cancer Diagnosis and Treatment
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésProstate cancerHigh-intensity focused ultrasoundProstatectomyRadiation therapyExternal beam radiotherapyProstateExternal beam radiationPelvisCost effectiveness
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Prostate cancer (PCa) is the fifth leading cause of cancer death among Canadian men. Open radical prostatectomy (ORP), robot-assisted radical prostatectomy (RARP), and external beam radiation therapy (RT) are main lines of primary treatment for localized low and intermediate risk PCa. ORP is a major surgery in which a single large incision is made to access the pelvis and to completely remove the prostate, while RARP is a minimally invasive surgery in which several small incisions are made to access the abdomen and completely remove the prostate using a robotic device. In RT, a machine delivers focused beams of radiation from outside the body on the prostate gland to treat PCa. Focal therapies like high intensity focused ultrasound (HIFU) are emerging, less invasive treatment strategies with potential advantages as organ preservation, short recovery time, and few adverse events. There is limited published literature comparing HIFU with the standard of care (ORP, RARP, and RT) for primary treatment of localized low and intermediate-risk PCa and none of the previously published studies assessed the cost-effectiveness of primary HIFU from the Canadian healthcare payer’s perspective or provided insight into clinical subgroups of patients. We conducted an economic evaluation (cost-utility analysis) to compare the cost-utility of HIFU vs the standard of care as primary treatment for localized low and intermediate risk PCa in Ontario. To conduct the cost-utility analysis, we estimated the parameters of a Markov cohort state-transition model. To run the model, we collected the transition probabilities, the direct costs, and the utility values for HIFU and the standard of care, and calculated the number of life years gained, the quality adjusted life years (QALYs) gained, the cost per QALY gained for HIFU and the standard of care, and the incremental cost-utility ratio (ICUR) for HIFU vs the standard of care. In addition, we conducted a one-way deterministic analysis that evaluated the sensitivity of the model results to variations of the parameters, a probabilistic sensitivity analysis which assessed the probability of cost-effectiveness for HIFU vs the standard of care at the willingness to pay (WTP) threshold, and a value of Information (VOI) analysis to calculate the expected value of perfect information (EVPI) and the expected value of partial perfect Information (EVPPI). Initially, we conducted a systematic review of all relevant published case-control, cohort, and randomised controlled studies that evaluated cancer related and functional outcomes of HIFU and the standard of care from inception through August 31, 2021 to collect the transition probabilities. The cancer related and functional outcomes were stratified into subgroups according to patient’s anthropometric, socio-demographic, and medical characteristics. Meta-analysis was performed with Microsoft Excel® Data Analysis Toolpak version 16.77 using maximum likelihood estimation and reported as a point estimate (ˆp) and Cochrane Tools using a random effects model with Mantel Haenszel (M-H) estimator for Tau2 statistic and reported as odds ratio (OR). Fourteen studies were included in the review for a total number of 34,927 participants. Among the 8 studies of HIFU as the primary treatment of localized low and intermediate risk PCa, 4 studies reported 5-year failure free survival (FFS) rates ranging from 67.8% to 97.8%, 3 studies reported 5-year biochemical disease-free survival ranging from 58% to 85.4%, 5 studies reported 1-year urinary incontinence (UI) rates ranging from 0% to 6%, and 4 studies reported 1-year erectile dysfunction (ED) rates ranging from 11.4% to 38.7%. Furthermore, our search revealed 5-year FFS benefit favoring ORP compared to RT (OR = 3.56, 95% CI = 2.50 - 5.08), 1 year UI rate favoring ORP compared to RARP (OR = 0.54, 95% CI = 0.10 - 2.89), and 1-year ED rate favoring ORP compared to RARP (OR = 0.46, 95% CI = 0.12 - 1.73). The direct costs of 20 patients with localized low or intermediate risk PCa who received whole-gland HIFU at a privately-owned clinic in Ontario were collected and compared with the direct costs of the standard of care in primary treatment of localized low and intermediate risk PCa. Our one-way deterministic analysis revealed that the main parameters that influenced the ICUR for HIFU vs RARP included the stable disease health state utilities for both groups, the clinic and amortization costs of HIFU, and the hospital, consumables, amortization, and maintenance costs of RARP, respectively. When we varied the annual transition probability of stable disease health state progressing towards metastasis after delivering HIFU from 0.01 to 0.05, the total QALYs generated with HIFU were 14.85 QALYs, and after a lifetime horizon, the ICUR of HIFU compared to RARP increased to $28,740.09 per QALY gained, which was still accepted as cost-effective when compared to RARP at a WTP threshold of $50,000/QALY. The probabilistic sensitivity analysis showed that, for HIFU vs RARP, a total of 9,444 ICURs out of the 10,000 ICURs resulting from the Monte Carlo simulations are situated below the WTP threshold, which means that the cost-effectiveness probability of HIFU compared to RARP is 94.44% when we trade-off between the lower cost of RARP and the higher effectiveness of HIFU and confirms our base case analysis result that showed HIFU to be highly cost-effective when compared to RARP. Our VOI analysis showed an EVPI over all simulations of 0.04 net benefit (NB) when all parameters were varied, a population EVPI for low and intermediate risk PCa in Ontario of 3,120.48 and 7,253.54 NB which is equivalent to $156,024,000 and $362,677,000 when assuming a WTP threshold of $50,000/QALY, respectively, an EVPPI over all simulations of 0.02 NB when the utilities subset of parameters was varied, an EVPPI over all simulations of 0.00 NB when the cost subset of parameters was varied, and concluded a very high value associated with further research on the cost-utility of HIFU vs RARP with special emphasis on the utility parameters. We concluded that the data collected in our mixed quantitative and qualitative research study can be utilized by patients in Ontario to engage in the shared decision-making process and mapped by policy makers to the current treatment landscape of localized low and intermediate risk PCa to identify policy gaps, evaluate HIFU’s eligibility for public funding and reimbursement, and leverage a data-driven policy that considers the allocation of HIFU within the existing treatment algorithm.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,005
score de la tête « metaresearch » (Gemma)0,020
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Méta-analyse · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,027
Score d'incertitude au seuil0,059

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0050,020
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0020,008
Bibliométrie0,0020,003
Études des sciences et des technologies0,0000,001
Communication savante0,0020,001
Science ouverte0,0010,001
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0040,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,033
Tête enseignante GPT0,389
Écart entre enseignants0,357 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeMéta-analyse
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2025
Routes d'admission1
Résumé présentoui

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