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Record W3007878751 · doi:10.1093/humrep/dez203

Cost effectiveness of in vitro fertilisation and preimplantation genetic testing to prevent transmission of BRCA1/2 mutations

2020· article· en· W3007878751 on OpenAlexaffabout
Joseph H. Lipton, Ellen Warner, Ellen E Greenblatt, Esther Lee, Kelvin Chan, William Wong

Bibliographic record

VenueHuman Reproduction · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBRCA gene mutations in cancer
Canadian institutionsUniversity of OttawaUniversity of WaterlooSunnybrook Health Science CentreSinai Health SystemCanadian Centre for Applied Research in Cancer ControlHealth Sciences Centre
Fundersnot available
KeywordsGenetic testingPopulationCohortMedicineBRCA mutationIn vitro fertilisationCancerGeneticsBiologyBreast cancerInternal medicinePregnancyEnvironmental health

Abstract

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STUDY QUESTION: Is it cost-effective to use in vitro fertilisation and preimplantation genetic testing of monogenic defects (IVT/PGT-M) to prevent transmission of BRCA1/2 mutations to second-generation new births in comparison with naturally conceived births? SUMMARY ANSWER: In this cost-effectiveness analysis, we found that IVF/PGT-M is cost-effective for BRCA1 and BRCA2 mutation carriers if using a willingness to pay of $50 000 per quality-adjusted life-year (QALY). WHAT IS KNOWN ALREADY: Carriers of a BRCA1 or BRCA2 mutation have a significantly increased risk of several types of cancer throughout their lifetime. The cost of risk reduction, screening and treatment of cancer in this population is high. In addition, there is a 50% chance of passing on this genetic mutation to each child. One option to avoid transmission of an inherited deleterious gene to one's offspring involves in vitro fertilisation with preimplantation genetic testing. STUDY DESIGN, SIZE, DURATION: We implemented a state transition model comparing the healthcare impact of a cohort of healthy children born after IVF/PGT-M, who have a population risk of developing cancer, to a cohort of naturally conceived live-births, half of whom are carriers of the BRCA mutation. Transition probabilities are based on published sources, a lifetime horizon and a perspective of a provincial Ministry of Health in Canada. PARTICIPANTS/MATERIALS, SETTING, METHODS: The target population is the second-generation new births who have at least one parent with a known BRCA1 or BRCA2 mutation. MAIN RESULTS AND THE ROLE OF CHANCE: At a willingness-to-pay threshold of $50 000 per QALY, IVF/PGT-M is a cost-effective intervention for carriers of either BRCA mutation. For BRCA1, the incremental cost-effectiveness ratio (ICER) for IVF/PGT-M is $14 242/QALY. For BRCA2, the ICER of intervention is $12 893/QALY. Probabilistic sensitivity analysis results show that IVF/PGT-M has a 98.4 and 97.3% chance of being cost-effective for BRCA1 and BRCA2 mutation carriers, respectively, at the $50 000/QALY threshold. LIMITATIONS, REASONS FOR CAUTION: Our model did not include the short-term negative effect of IVF/PGT-M on the woman's quality of life; in addition, our model did not consider any ethical issues related to post-implantation genetic testing. WIDER IMPLICATIONS OF THE FINDINGS: In countries in which the healthcare of a large segment of the population is covered by a single payer system such as the government, it would be cost-effective for that payer to cover the cost of IVF/PGT-M for couples in which one member has a BRCA mutation, in order to avoid the future costs and disutility of managing offspring with an inherited BRCA mutation. STUDY FUNDING/COMPETING INTEREST(S): Dr Wong's research program was supported by the Canadian Institutes of Health Research (CIHR), the Natural Sciences and Engineering Research Council (NSERC), the Canadian Liver Foundation and an Ontario Ministry of Research, Innovation and Science Early Researcher Award. All authors declared no conflict of interests.

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How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.163
Threshold uncertainty score0.320

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.048
GPT teacher head0.317
Teacher spread0.269 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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".

Quick stats

Citations26
Published2020
Admission routes2
Has abstractyes

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