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Record W4229024402 · doi:10.1016/j.lana.2022.100265

Cancer surveillance for patients with Li-Fraumeni Syndrome in Brazil: A cost-effectiveness analysis

2022· article· en· W4229024402 on OpenAlexaboutno aff
Isadora A. Frankenthal, Mariana Cartaxo Alves, Casey Tak, Maria Isabel Achatz

Bibliographic record

VenueThe Lancet Regional Health - Americas · 2022
Typearticle
Languageen
FieldMedicine
TopicCancer-related Molecular Pathways
Canadian institutionsnot available
Fundersnot available
KeywordsLi–Fraumeni syndromeCancerMedicineCost-effectiveness analysisOncologyCost effectivenessInternal medicineRisk analysis (engineering)BiologyGeneticsMutation

Abstract

fetched live from OpenAlex

In Brazil, there is a higher prevalence of Li-Fraumeni Syndrome (LFS) compared to worldwide, due to the founder mutation in the TP53 gene p.R337H. However, a large portion of the population, that depends on National Health Care System, does not have access to effective screening through the Toronto Protocol guidelines that enables early diagnosis and improves overall survival. Population strategies for early cancer detection recommended in Brazil are limited and additional screening is not offered to patients at a high risk, leading to late diagnoses and higher cancer mortality. This study aims to assess the cost-effectiveness of introducing annual screening that follows the Toronto Protocol for patients diagnosed with LFS in Brazil. A Markov decision analytic model was developed to estimate cost-effectiveness of 1,000 LFS carriers under surveillance and non-surveillance strategies over a patient's lifetime. The main outcome was the incremental cost-effectiveness ratio (ICER), expressed as cost per additional life year gained, comparing surveillance and non-surveillance strategies in p.R337H TP53 carriers. For females, the model showed a mean cost of $2,222 and $14,640 and yielded 22 and 26·2 life years for non-surveillance and surveillance strategies, respectively. The ICER for early cancer surveillance versus no surveillance was $2,982 per additional life year gained. For males, the model predicts mean lifetime costs of $1,165 and $12,883 and average life years of 23·5 and 26·3 for non-surveillance and surveillance strategies, respectively. This amounts to an ICER of $ 4,185 per additional life year. Surveillance had 64% and 45% probabilities of being the most cost-effective strategy for early cancer detection in female and male carriers, respectively. The adoption of surveillance for patients diagnosed with LFS by the Brazilian National Health Care System is cost-beneficial for both males and females. This research received no specific grant from any funding agency. No Brasil, há uma maior prevalência da Síndrome de Li-Fraumeni (LFS) em comparação ao mundo, devido à mutação fundadora no gene TP53 p.R337H. No entanto, uma grande parte da população brasileira, que depende do Sistema Único de Saúde (SUS), não tem acesso a um rastreamento eficaz através das diretrizes do Protocolo de Toronto, que possibilitam o diagnóstico precoce e ganho em sobrevida dos portadores da síndrome. As estratégias populacionais para detecção precoce do câncer recomendadas no Brasil são limitadas e o rastreamento adicional não é oferecido a pacientes de alto risco, levando a diagnósticos tardios e maior mortalidade por câncer. Este estudo tem como objetivo avaliar a relação custo-efetividade do rastreamento anual, conforme o Protocolo de Toronto, para pacientes diagnosticados com LFS no Brasil. Foi desenvolvido o modelo analítico de decisão Markov para estimar a relação de custo-efetividade de 1.000 portadores da LFS sob estratégias de vigilância e de não-vigilância durante a vida útil do portador. O principal desfecho é a razão de custo-efetividade incremental (ICER), que expressa qual o custo adicional por ano de vida ganho, comparando as estratégias de vigilância e não-vigilância em portadores da mutação p.R337H TP53. Para as mulheres, o modelo demonstrou o custo médio de $2.222 e $14.640 e resultou em 22 e 26·2 anos de vida útil para as estratégias de vigilância e não-vigilância, respectivamente. O ICER para rastreamento precoce do câncer versus nenhum rastreamento foi de $2.982 por ano de vida adicional ganho. Para os homens, o modelo prevê custos médios de vida de US$ 1.165 e US$ 12.883 e anos de vida médios de 23·5 e 26·3 anos para estratégias de vigilância e não-vigilância, respectivamente. Isto equivale a um ICER de US$ 4.185 por ano de vida adicional ganho. A realização do rastreamento conforme o Protocolo de Toronto tem probabilidades de 64% e 45% de ser a estratégia mais custo-efetiva para a detecção precoce do câncer em portadores do sexo feminino e masculino, respectivamente. A adoção do rastreamento para pacientes diagnosticados com LFS pelo Sistema Único de Saúde Brasileiro é custo-efetiva tanto para portadores do sexo masculino quanto feminino. Esta pesquisa não recebeu nenhum subsídio específico de nenhuma agência de financiamento.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.050
Threshold uncertainty score0.658

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
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 head0.049
GPT teacher head0.373
Teacher spread0.324 · 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 designObservational
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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Citations15
Published2022
Admission routes1
Has abstractyes

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