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Optimal Surveillance Strategies for Early-Stage Cutaneous Melanoma Post Primary Tumor Excision: An Economic Evaluation
Background. Consensus on standardized active surveillance or follow-up care by clinicians is lacking leading to considerable variation in practice across countries. An important structural modelling consideration is that self-examination by patients and their partners can detect melanoma recurrence...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8743969/ https://www.ncbi.nlm.nih.gov/pubmed/35024448 http://dx.doi.org/10.1177/23814683211069988 |
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author | Kontogiannis, Vasileios Coughlan, Diarmuid Javanbakht, Mehdi Kunonga, Patience Beyer, Fiona Richmond, Catherine Bryant, Andy Bajwa, Dalvir Ellis, Robert A. Vale, Luke |
author_facet | Kontogiannis, Vasileios Coughlan, Diarmuid Javanbakht, Mehdi Kunonga, Patience Beyer, Fiona Richmond, Catherine Bryant, Andy Bajwa, Dalvir Ellis, Robert A. Vale, Luke |
author_sort | Kontogiannis, Vasileios |
collection | PubMed |
description | Background. Consensus on standardized active surveillance or follow-up care by clinicians is lacking leading to considerable variation in practice across countries. An important structural modelling consideration is that self-examination by patients and their partners can detect melanoma recurrence outside of active surveillance regimes. Objectives. To identify candidate melanoma surveillance strategies for American Joint Committee on Cancer (AJCC) stage I disease and compare them with the current recommended practice in a cost-utility analysis framework. Methods. In consultation with UK clinical experts, a microsimulation model was built in TreeAge Pro 2019 R1.0 (Williamstown, MA, USA) to evaluate surveillance strategies for AJCC stage IA and IB melanoma patients separately. The model incorporated patient behaviors such as self-detection and emergency visits to examine suspicious lesions. A National Health Service (NHS) perspective was taken. Model input parameters were taken from the literature and where data were not available, local expert opinion was sought. Probabilistic sensitivity analysis, one-way sensitivity analysis on pertinent parameters and value of information was performed. Results. In the base-case probabilistic sensitivity analysis, less intensive surveillance strategies for AJCC stage IA and IB had lower total lifetime costs than the current National Institute for Health and Care Excellence (NICE) recommended strategy with similar effectiveness in terms of quality-adjusted life years and thereby likely to be cost-effective. Many strategies had similar effectiveness due to the relatively low chance of recurrence and the high rate of self-detection. Sensitivity and scenario analyses did not change these findings. Conclusions. Our model findings suggest that less resource intensive surveillance may be cost-effective compared with the current NICE surveillance guidelines. However, to advocate convincingly for changes, better evidence is required. |
format | Online Article Text |
id | pubmed-8743969 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-87439692022-01-11 Optimal Surveillance Strategies for Early-Stage Cutaneous Melanoma Post Primary Tumor Excision: An Economic Evaluation Kontogiannis, Vasileios Coughlan, Diarmuid Javanbakht, Mehdi Kunonga, Patience Beyer, Fiona Richmond, Catherine Bryant, Andy Bajwa, Dalvir Ellis, Robert A. Vale, Luke MDM Policy Pract Original Research Article Background. Consensus on standardized active surveillance or follow-up care by clinicians is lacking leading to considerable variation in practice across countries. An important structural modelling consideration is that self-examination by patients and their partners can detect melanoma recurrence outside of active surveillance regimes. Objectives. To identify candidate melanoma surveillance strategies for American Joint Committee on Cancer (AJCC) stage I disease and compare them with the current recommended practice in a cost-utility analysis framework. Methods. In consultation with UK clinical experts, a microsimulation model was built in TreeAge Pro 2019 R1.0 (Williamstown, MA, USA) to evaluate surveillance strategies for AJCC stage IA and IB melanoma patients separately. The model incorporated patient behaviors such as self-detection and emergency visits to examine suspicious lesions. A National Health Service (NHS) perspective was taken. Model input parameters were taken from the literature and where data were not available, local expert opinion was sought. Probabilistic sensitivity analysis, one-way sensitivity analysis on pertinent parameters and value of information was performed. Results. In the base-case probabilistic sensitivity analysis, less intensive surveillance strategies for AJCC stage IA and IB had lower total lifetime costs than the current National Institute for Health and Care Excellence (NICE) recommended strategy with similar effectiveness in terms of quality-adjusted life years and thereby likely to be cost-effective. Many strategies had similar effectiveness due to the relatively low chance of recurrence and the high rate of self-detection. Sensitivity and scenario analyses did not change these findings. Conclusions. Our model findings suggest that less resource intensive surveillance may be cost-effective compared with the current NICE surveillance guidelines. However, to advocate convincingly for changes, better evidence is required. SAGE Publications 2022-01-04 /pmc/articles/PMC8743969/ /pubmed/35024448 http://dx.doi.org/10.1177/23814683211069988 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Original Research Article Kontogiannis, Vasileios Coughlan, Diarmuid Javanbakht, Mehdi Kunonga, Patience Beyer, Fiona Richmond, Catherine Bryant, Andy Bajwa, Dalvir Ellis, Robert A. Vale, Luke Optimal Surveillance Strategies for Early-Stage Cutaneous Melanoma Post Primary Tumor Excision: An Economic Evaluation |
title | Optimal Surveillance Strategies for Early-Stage Cutaneous Melanoma Post Primary Tumor Excision: An Economic Evaluation |
title_full | Optimal Surveillance Strategies for Early-Stage Cutaneous Melanoma Post Primary Tumor Excision: An Economic Evaluation |
title_fullStr | Optimal Surveillance Strategies for Early-Stage Cutaneous Melanoma Post Primary Tumor Excision: An Economic Evaluation |
title_full_unstemmed | Optimal Surveillance Strategies for Early-Stage Cutaneous Melanoma Post Primary Tumor Excision: An Economic Evaluation |
title_short | Optimal Surveillance Strategies for Early-Stage Cutaneous Melanoma Post Primary Tumor Excision: An Economic Evaluation |
title_sort | optimal surveillance strategies for early-stage cutaneous melanoma post primary tumor excision: an economic evaluation |
topic | Original Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8743969/ https://www.ncbi.nlm.nih.gov/pubmed/35024448 http://dx.doi.org/10.1177/23814683211069988 |
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