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Abstract PD6-09: Cost effectiveness of bilateral prophylactic mastectomy with and without different breast reconstruction techniques versus screening in women with high risk of breast cancer in the Canadian Province of Ontario

2019· article· en· W2914672684 on OpenAlexaffabout
Badria Aljohani, MB Hannouf, Alice Grant, Chris Doherty, Gregory S. Zaric, Muriel Brackstone

Bibliographic record

VenueCancer Research · 2019
Typearticle
Languageen
FieldMedicine
TopicBreast Implant and Reconstruction
Canadian institutionsWestern University
Fundersnot available
KeywordsMedicineBreast cancerBreast reconstructionMastectomyQuality-adjusted life yearCost effectivenessEconomic evaluationGynecologyCancerInternal medicine

Abstract

fetched live from OpenAlex

Abstract Purpose: We aimed to investigate the cost-effectiveness of mastectomy with and without different reconstruction for the purpose of determining which strategies represent value for money and identify the most cost-effective technique from the perspective of Ontario's health care system. Methods: We developed a decision analytic model to project the lifetime clinical and economic consequences of different strategies .The decision model was parameterized using 10-year follow up and cost data from Ontario administrative health databases and Ontario Cancer registry and utility data from secondary Canadian sources. Costs are presented in 2018 Canadian dollars. Future costs and benefits were discounted at 5%. Results: Compared to organized screening-based strategy, surgical strategies ranged from being more effective and cost-saving and up to being associated with an incremental cost effectiveness ratio (ICER) of $63,010 per quality-adjusted life year (QALY) gained, with BPM with immediate one-stage acellular dermal matrix (ADM)-assisted implant breast reconstruction having the greatest incremental QALY of 1.157 and lowest ICER of $9,615. Incorporating the PBM with one-stage ADM-assisted implant immediate breast reconstruction as the standard surgical strategy in Ontario would result in the largest total annual net gains of 20 QALYs and $ 1.7 million. Table 1Baseline life-time outcomes of the decision model. Extensive breast cancer screening alone vs. surgical interventionsStrategyOverall QALYsOverall costInc. QALYInc. costICER per QALY gainedExtensive breast cancer screening18.549$90,231Ref.Ref.Ref.Prophylactic bilateral mastectomy without breast reconstruction19.057$82,011+0.508−$8,220Cost-savingProphylactic bilateral mastectomy with two-stage traditional TE-implant immediate breast reconstruction19.364$111,319+0.815+$21,088$25,868 (dominated)Prophylactic bilateral mastectomy with one-stage ADM-assisted implant immediate breast reconstruction19.706$101,359+1.157+$11,128$9,615Prophylactic bilateral mastectomy with two-stage ADM-assisted TE-implant immediate breast reconstruction19.065$122,757+0.516+$32,526$63,010 (dominated)Prophylactic bilateral mastectomy with any type of autologous immediate breast reconstruction (with or without TE or breast implant)19.501$114,014+0.951+$23,784$24,988 (dominated)Prophylactic bilateral mastectomy with one-stage non-ADM immediate breast reconstruction19.408$103,512+0.859+$13,282$15,457 (dominated)Prophylactic bilateral mastectomy with delayed breast reconstruction19.241$107,582+0.691+$17,351$25,087 (dominated)ADM;acellular dermal matrix ; TE=Tissue Expander; ICER=Incremental cost-effectiveness ratio; QALY=Quality adjusted life year Conclusion: The choice of breast reconstruction needs to be decided based on the patient body habitus, general condition and goals . BPM with and without reconstruction is likely both clinically and economically attractive. However ,all other things being equal , BPM with immediate one-stage ADM-assisted implant breast reconstruction is the most cost effective strategy and appears to offer the highest value for money. Citation Format: Aljohani BE, Hannouf MB, Grant A, Doherty C, Zaric GS, Brackstone M. Cost effectiveness of bilateral prophylactic mastectomy with and without different breast reconstruction techniques versus screening in women with high risk of breast cancer in the Canadian Province of Ontario [abstract]. In: Proceedings of the 2018 San Antonio Breast Cancer Symposium; 2018 Dec 4-8; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2019;79(4 Suppl):Abstract nr PD6-09.

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How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.062
Threshold uncertainty score0.452

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.024
GPT teacher head0.304
Teacher spread0.280 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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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Citations0
Published2019
Admission routes2
Has abstractyes

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