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Abstract P2-14-09: Variation in UK reconstructive practice in the face of post-mastectomy radiotherapy

2015· article· en· W1539777734 on OpenAlexaff
Nigel Bundred, Cliona Kirwan, Ashu Gandhi, Paula Duxbury

Bibliographic record

VenueCancer Research · 2015
Typearticle
Languageen
FieldMedicine
TopicBreast Implant and Reconstruction
Canadian institutionsHealth Sciences Centre
Fundersnot available
KeywordsCosmesisMedicineMastectomyReconstructive surgeryQuality of life (healthcare)PopulationGeneral surgeryRadiation therapyBreast reconstructionSurgeryPatient satisfactionRandomized controlled trialBreast cancerCancerNursingInternal medicine

Abstract

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Abstract Approximately 30-40% of women are not offered immediate breast reconstruction because the possibility of post-mastectomy radiotherapy (PMRT) is unknown at the time of mastectomy. Breast reconstruction may be delayed until final pathology is available and need for radiotherapy established. Surgical literature is replete with studies of varying quality, reporting complication rates for a range of reconstructive procedures, highlighting the need for surgical trials of reconstructive techniques in women at risk of PMRT. Decisions for these patients are complex, involving multiple clinicians including surgeons and oncologists. To inform a surgical trial design, we aimed to determine current UK surgical practice and gain an understanding of the drivers behind decision-making. Methods: A questionnaire, validated in a pilot population, was posted to Consultant members of the Association of Breast Surgery (UK). We collected data on current practice in conducting Delayed, Immediate and Delayed-immediate reconstructive surgery. We collated data on type and volume of procedure performed and factors affecting decision-making including delay to adjuvant treatment, risk of complications, perception of patients’ quality of life (QoL) and aesthetic satisfaction. Results: Of 355 surgeons, 130(37%) responded. Of these, 77% felt the current evidence base was not adequate to guide surgical decisions and 80% felt a need for further trials to guide best treatment. Despite a lack of scientific evidence demonstrating a difference in cosmesis or QoL between Immediate and Delayed reconstruction, 85% felt there is not equivalent cosmesis and 71% felt there is not equivalent QoL between the two groups. There is considerable heterogeneity in reconstructive approach to patients at risk of PMRT (Table 1). Delayed reconstruction remains the most popular option, being regularly used by 94% of surgeons despite only 34% of surgeons believing the majority of patients are satisfied with the approach. Significantly fewer surgeons perform Immediate implant based reconstruction (with or without ADM) than Delayed (p<0.01). Implant reconstruction is performed by 71% of surgeons in patients at risk of PMRT, but only 44% of surgeons felt patients were happy with the final results. Table 1 No. of responses NeverSometimesOftenAlwaysDelayed5505119Immediate implant584181Immediate ADM+Implant45491452-stage (delayed-immediate) Expander to permanent reconstruction2855335Immediate Autologous2959227 The three most important drivers in making a reconstructive choice were 1. Effect of PMRT on the cosmetic result 2. Minimising risk of complications and avoiding delay to adjuvant treatment 3. Pre-operative uncertainty over the need for PMRT. Conclusions: Surgeons employ a variety of approaches to reconstruction in the face of PMRT, the most common approach being delayed reconstruction. Decision-making is based upon individual surgeon’s perception of risks including likely delay to adjuvant therapy and effect of PMRT on the reconstruction. Drivers appeared to be more surgeon-centred rather than patient-based. There is awareness of a lack of evidence to support decision-making and the need for high quality studies. Randomised clinical trials are needed to provide an evidence base for outcomes. Citation Format: James R Harvey, Nigel J Bundred, Cliona C Kirwan, Ashu Gandhi, Paula J Duxbury. Variation in UK reconstructive practice in the face of post-mastectomy radiotherapy [abstract]. In: Proceedings of the Thirty-Seventh Annual CTRC-AACR San Antonio Breast Cancer Symposium: 2014 Dec 9-13; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2015;75(9 Suppl):Abstract nr P2-14-09.

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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)0.003
metaresearch head score (Gemma)0.020
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.013
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.020
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0040.001

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 head0.080
GPT teacher head0.417
Teacher spread0.337 · 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 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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Citations0
Published2015
Admission routes1
Has abstractyes

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