Utility Scores for Risk-Reducing Mastectomy and Risk-Reducing Salpingo-Oophorectomy: Mapping to EQ-5D.

mapping risk-reducing mastectomy risk-reducing salpingo-oophorectomy utility scores

Journal

Cancers
ISSN: 2072-6694
Titre abrégé: Cancers (Basel)
Pays: Switzerland
ID NLM: 101526829

Informations de publication

Date de publication:
30 Mar 2024
Historique:
received: 06 03 2024
revised: 27 03 2024
accepted: 28 03 2024
medline: 13 4 2024
pubmed: 13 4 2024
entrez: 13 4 2024
Statut: epublish

Résumé

Risk-reducing mastectomy (RRM) and risk-reducing salpingo-oophorectomy (RRSO) are the most effective breast and ovarian cancer preventive interventions. EQ-5D is the recommended tool to assess the quality of life and determine health-related utility scores (HRUSs), yet there are no published EQ-5D HRUSs after these procedures. These are essential for clinicians counselling patients and for health-economic evaluations. We used aggregate data from our published systematic review and converted SF-36/SF-12 summary scores to EQ-5D HRUSs using a published mapping algorithm. Study control arm or age-matched country-specific reference values provided comparison. Random-effects meta-analysis provided adjusted disutilities and utility scores. Subgroup analyses included long-term vs. short-term follow-up. Four studies (209 patients) reported RRM outcomes using SF-36, and five studies (742 patients) reported RRSO outcomes using SF-12/SF-36. RRM is associated with a long-term (>2 years) disutility of -0.08 (95% CI -0.11, -0.04) (I We present the first HRUSs sourced from patients following RRM and RRSO. There is a need for high-quality prospective studies to characterise quality of life at different timepoints.

Sections du résumé

BACKGROUND BACKGROUND
Risk-reducing mastectomy (RRM) and risk-reducing salpingo-oophorectomy (RRSO) are the most effective breast and ovarian cancer preventive interventions. EQ-5D is the recommended tool to assess the quality of life and determine health-related utility scores (HRUSs), yet there are no published EQ-5D HRUSs after these procedures. These are essential for clinicians counselling patients and for health-economic evaluations.
METHODS METHODS
We used aggregate data from our published systematic review and converted SF-36/SF-12 summary scores to EQ-5D HRUSs using a published mapping algorithm. Study control arm or age-matched country-specific reference values provided comparison. Random-effects meta-analysis provided adjusted disutilities and utility scores. Subgroup analyses included long-term vs. short-term follow-up.
RESULTS RESULTS
Four studies (209 patients) reported RRM outcomes using SF-36, and five studies (742 patients) reported RRSO outcomes using SF-12/SF-36. RRM is associated with a long-term (>2 years) disutility of -0.08 (95% CI -0.11, -0.04) (I
CONCLUSIONS CONCLUSIONS
We present the first HRUSs sourced from patients following RRM and RRSO. There is a need for high-quality prospective studies to characterise quality of life at different timepoints.

Identifiants

pubmed: 38611036
pii: cancers16071358
doi: 10.3390/cancers16071358
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : Rosetrees Trust
ID : CF1\100001
Organisme : Barts Charity
ID : G-001522

Auteurs

Samuel G Oxley (SG)

Wolfson Institute of Population Health, Queen Mary University of London, London EC1M 6BQ, UK.
Department of Gynaecological Oncology, Barts Health NHS Trust, Royal London Hospital, London E1 1BB, UK.

Xia Wei (X)

Wolfson Institute of Population Health, Queen Mary University of London, London EC1M 6BQ, UK.
Department of Health Services Research and Policy, London School of Hygiene & Tropical Medicine, London WC1H 9SH, UK.

Michail Sideris (M)

Wolfson Institute of Population Health, Queen Mary University of London, London EC1M 6BQ, UK.
Department of Gynaecological Oncology, Barts Health NHS Trust, Royal London Hospital, London E1 1BB, UK.

Oleg Blyuss (O)

Wolfson Institute of Population Health, Queen Mary University of London, London EC1M 6BQ, UK.
Department of Pediatrics and Pediatric Infectious Diseases, Institute of Child´s Health, Sechenov First Moscow State Medical University, Sechenov University, Moscow 119991, Russia.

Ashwin Kalra (A)

Wolfson Institute of Population Health, Queen Mary University of London, London EC1M 6BQ, UK.
Department of Gynaecological Oncology, Barts Health NHS Trust, Royal London Hospital, London E1 1BB, UK.

Jacqueline J Y Sia (JJY)

Wolfson Institute of Population Health, Queen Mary University of London, London EC1M 6BQ, UK.
Department of Gynaecological Oncology, Barts Health NHS Trust, Royal London Hospital, London E1 1BB, UK.

Subhasheenee Ganesan (S)

Wolfson Institute of Population Health, Queen Mary University of London, London EC1M 6BQ, UK.
Department of Gynaecological Oncology, Barts Health NHS Trust, Royal London Hospital, London E1 1BB, UK.

Caitlin T Fierheller (CT)

Wolfson Institute of Population Health, Queen Mary University of London, London EC1M 6BQ, UK.

Li Sun (L)

Department of Health Services Research and Policy, London School of Hygiene & Tropical Medicine, London WC1H 9SH, UK.

Zia Sadique (Z)

Department of Health Services Research and Policy, London School of Hygiene & Tropical Medicine, London WC1H 9SH, UK.

Haomiao Jin (H)

School of Health Sciences, Faculty of Health and Medical Sciences, University of Surrey, Guildford GU2 7YH, UK.

Ranjit Manchanda (R)

Wolfson Institute of Population Health, Queen Mary University of London, London EC1M 6BQ, UK.
Department of Gynaecological Oncology, Barts Health NHS Trust, Royal London Hospital, London E1 1BB, UK.
Department of Health Services Research and Policy, London School of Hygiene & Tropical Medicine, London WC1H 9SH, UK.
MRC Clinical Trials Unit at UCL, Institute of Clinical Trials & Methodology, Faculty of Population Health Sciences, University College London, London WC1V 6LJ, UK.

Rosa Legood (R)

Wolfson Institute of Population Health, Queen Mary University of London, London EC1M 6BQ, UK.
Department of Health Services Research and Policy, London School of Hygiene & Tropical Medicine, London WC1H 9SH, UK.

Classifications MeSH