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Optimal Surveillance Strategies for Early-Stage Cutaneous Melanoma Post Primary Tumor Excision: An Economic Evaluation
by
Bryant, Andy
, Bajwa, Dalvir
, Vale, Luke
, Richmond, Catherine
, Coughlan, Diarmuid
, Beyer, Fiona
, Kontogiannis, Vasileios
, Javanbakht, Mehdi
, Ellis, Robert A.
, Kunonga, Patience
in
Cancer surgery
/ Guidelines
/ Health surveillance
/ Melanoma
/ Original
/ Sensitivity analysis
2022
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Optimal Surveillance Strategies for Early-Stage Cutaneous Melanoma Post Primary Tumor Excision: An Economic Evaluation
by
Bryant, Andy
, Bajwa, Dalvir
, Vale, Luke
, Richmond, Catherine
, Coughlan, Diarmuid
, Beyer, Fiona
, Kontogiannis, Vasileios
, Javanbakht, Mehdi
, Ellis, Robert A.
, Kunonga, Patience
in
Cancer surgery
/ Guidelines
/ Health surveillance
/ Melanoma
/ Original
/ Sensitivity analysis
2022
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While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Optimal Surveillance Strategies for Early-Stage Cutaneous Melanoma Post Primary Tumor Excision: An Economic Evaluation
by
Bryant, Andy
, Bajwa, Dalvir
, Vale, Luke
, Richmond, Catherine
, Coughlan, Diarmuid
, Beyer, Fiona
, Kontogiannis, Vasileios
, Javanbakht, Mehdi
, Ellis, Robert A.
, Kunonga, Patience
in
Cancer surgery
/ Guidelines
/ Health surveillance
/ Melanoma
/ Original
/ Sensitivity analysis
2022
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Optimal Surveillance Strategies for Early-Stage Cutaneous Melanoma Post Primary Tumor Excision: An Economic Evaluation
Journal Article
Optimal Surveillance Strategies for Early-Stage Cutaneous Melanoma Post Primary Tumor Excision: An Economic Evaluation
2022
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Overview
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.
Publisher
SAGE Publications,Sage Publications Ltd,SAGE Publishing
Subject
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