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Abstract P2-02-03: Efficacy and Safety of the Addition of Internal Mammary Irradiation to Standard Adjuvant Radiation in Early-Stage Breast Cancer: A Systematic Review and Meta-analysis

2023· review· en· W4322772086 on OpenAlexaff
Yasmin Korzets, Dina Levitas, Ahuva Grubstein, B. Corn, Eitan Amir, Hadar Goldvaser

Bibliographic record

VenueCancer Research · 2023
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBreast Cancer Treatment Studies
Canadian institutionsPrincess Margaret Cancer CentreUniversity of Toronto
Fundersnot available
KeywordsMedicineBreast cancerOncologyInternal medicineMeta-analysisHazard ratioRadiation therapyOdds ratioCancerRandomized controlled trialConfidence intervalStage (stratigraphy)AdjuvantSurgery

Abstract

fetched live from OpenAlex

Abstract Background: Adjuvant regional nodal irradiation together with whole breast or chest wall irradiation is considered standard of care in most node positive early breast cancer. Existing data on adding internal mammary irradiation (IMNI) to the regional nodal fields are inconsistent. The objective of this study was to conduct a meta-analysis to explore the efficacy and safety of adding IMNI to adjuvant radiotherapy in early-stage, high risk breast cancer. Methods: A search of PubMed and EMBASE identified randomized trials that investigated the addition of IMNI to standard adjuvant radiation in early-stage breast cancer. Hazard ratios (HRs) and 95% confidence intervals (CI) were extracted for overall survival (OS), breast cancer specific survival (BCSS), disease-free survival (DFS) and distant-metastasis free survival (DMFS). The odds ratios (ORs) for regional and loco-regional recurrence, non-breast cancer mortality, secondary non-breast cancer, contralateral breast cancer and cardiovascular morbidity and mortality were also extracted. These data where pooled in a meta-analysis using RevMan 5.4. Results: Analysis included 5 trials comprising 10,994 patients. Compared to the control group, IMNI was associated with a small, but statistically significant improvement in OS (HR=0.91, 95% 0.85-0.97, p=0.004), BCSS (HR=0.84, 95%0.77-0.92, p< 0.001), DFS (HR=0.89, 95% CI 0.82-0.98, p= 0.01) and DMFS (HR=0.89, 95% 0.81-0.98, p=0.02). IMNI was also associated with reduced odds for regional (OR=0.58, 95% 0.44-0.75, p< 0.001) and loco-regional recurrence (OR=0.85, 95% CI 0.72-1.00, p=0.04). Subgroup analyses for OS by tumor location (medial/central vs. lateral) and by nodal burden showed similar benefit is all subgroups. The odds for cardiotoxicity were higher, but did not reach statistical significance (OR=1.23, 95% 0.99-1.53, p=0.07). There was no association with cardiovascular mortality (OR=1.00, 95% 0.69-1.46, p=1.00). There were also comparable odds for non-breast cancer mortality (OR=1.05, 95% 0.79-1.41, p=0.74), secondary cancer (OR=0.95, 95% 0.82-1.10, p=0.51) and contra-lateral breast cancer (OR=1.07, 95% 0.77-1.51, p=0.68). Conclusions: Compared to the control group the addition of IMNI in high-risk patients is associated with a statistically significant improvement in survival, albeit with a magnitude of questionable clinical meaningfulness. Non-significant association with increased cardiovascular toxicity requires further study in longer-term studies. Citation Format: Yasmin Korzets, Dina Levitas, Ahuva Grubstein, Ben W Corn, Eitan Amir, Hadar Goldvaser. Efficacy and Safety of the Addition of Internal Mammary Irradiation to Standard Adjuvant Radiation in Early-Stage Breast Cancer: A Systematic Review and Meta-analysis [abstract]. In: Proceedings of the 2022 San Antonio Breast Cancer Symposium; 2022 Dec 6-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2023;83(5 Suppl):Abstract nr P2-02-03.

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 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)0.013
metaresearch head score (Gemma)0.030
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.019
Threshold uncertainty score0.070

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.030
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0190.041
Bibliometrics0.0040.005
Science and technology studies0.0010.001
Scholarly communication0.0040.002
Open science0.0020.001
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.089
GPT teacher head0.423
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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designMeta-analysis
Domainnot available
GenreReview

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

Citations1
Published2023
Admission routes1
Has abstractyes

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