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Record W3188442387 · doi:10.1136/bmjopen-2021-054055

Protocol for a national cohort study to explore the long-term clinical and patient-reported outcomes and cost-effectiveness of implant-based and autologous breast reconstruction after mastectomy for breast cancer: the brighter study

2021· article· en· W3188442387 on OpenAlexaff
Leigh Johnson, Chris Holcombe, Joe M O’Donoghue, Ranjeet Jeevan, John Browne, Patricia Fairbrother, Mairead MacKenzie, Carmel Gulliver‐Clarke, Paul White, Syed Mohiuddin, William Hollingworth, Shelley Potter

Bibliographic record

VenueBMJ Open · 2021
Typearticle
Languageen
FieldMedicine
TopicBreast Implant and Reconstruction
Canadian institutionsInstitute of Population and Public Health
FundersResearch Trainees Coordinating CentreAcademy of Medical SciencesUniversity of BristolDepartment of Health and Social CareNational Institute for Health and Care ResearchResearch for Patient Benefit ProgrammeNIHR Bristol Biomedical Research CentreUniversity Hospitals Bristol NHS Foundation Trust
KeywordsMedicineBreast reconstructionBreast cancerMastectomyQuality of life (healthcare)CohortCancerMedical physicsInternal medicineNursing

Abstract

fetched live from OpenAlex

INTRODUCTION: Breast reconstruction (BR) is offered to improve quality of life for women with breast cancer undergoing mastectomy. As most women will be long-term breast cancer survivors, high-quality information regarding the long-term outcomes of different BR procedures is essential to support informed decision-making. As different techniques vary considerably in cost, policymakers also require high-quality cost-effectiveness evidence to inform care. The Brighter study aims to explore the long-term clinical and patient-reported outcomes (PROs) of implant-based and autologous BR and use health economic modelling to compare the long-term cost-effectiveness of different reconstructive techniques. METHODS AND ANALYSIS: Women undergoing mastectomy and/or BR following a diagnosis of breast cancer between 1 January 2008 and 31 March 2009 will be identified from hospital episode statistics (HES). Surviving women will be contacted and invited to complete validated PRO measures including the BREAST-Q, EQ-5D-5L and ICECAP-A, or opt out of having their data included in the HES analysis. Long-term clinical outcomes will be explored using HES data. The primary outcome will be rates of revisional surgery between implant-based and autologous procedures. Secondary outcomes will include rates of secondary reconstruction and reconstruction failure. The long-term PROs of implant-based and autologous reconstruction will be compared using BREAST-Q, EQ-5D-5L and ICECAP-A scores. Multivariable regression will be used to examine the relationship between long-term outcomes, patient comorbidities, sociodemographic and treatment factors. A Markov model will be developed using HES and PRO data and published literature to compare the relative long-term cost-effectiveness of implant-based and autologous BR. ETHICS AND DISSEMINATION: The Brighter study has been approved by the South-West -Central Bristol Research Ethics Committee (20/SW/0020), and the Confidentiality Advisory Group (20/CAG/0021). Results will be published in peer-reviewed journals and presented at national meetings. We will work with the professional associations, charities and patient groups to disseminate the results.

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 score0.145
Threshold uncertainty score0.370

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
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 head0.122
GPT teacher head0.458
Teacher spread0.335 · 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".

Quick stats

Citations11
Published2021
Admission routes1
Has abstractyes

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