MétaCan
Menu
← Back to cohort

Is the toxicity of breast radiotherapy higher in patients with collagen vascular disease? A systematic review of the literature.

2020· review· en· W3028814014 on OpenAlexaff
Wei Liu, Aaron Leung, Jane Park, Brandon Liu, Gabriel Boldt, David A. Palma

Bibliographic record

VenueJournal of Clinical Oncology · 2020
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBreast Cancer Treatment Studies
Canadian institutionsCancer Care OntarioMcMaster UniversityLondon Health Sciences Centre
Fundersnot available
KeywordsMedicineContraindicationBreast cancerToxicityRadiation therapyMastectomyDiseaseCancerInternal medicineSurgeryOncologyPathology

Abstract

fetched live from OpenAlex

e12527 Background: Collagen vascular disease (CVD) has been described to be a relative contraindication for radiotherapy (RT) due to increased toxicity. As a result, RT to the breast or chest wall is underutilized in patients with CVD, despite known benefits in local control and overall survival after breast conserving surgery or mastectomy. We sought to characterize the acute and late toxicity rates associated with curative-intent RT for breast cancer patients with CVD. Methods: A systematic review per the PRISMA guidelines was performed using Pubmed database (inception to July 2019), for English-language articles. Key search themes included collagen vascular disease, connective tissue disease, including specific subtypes, along with terms for radiation and cancer. Title and abstract review were followed by full-text review. Inclusion criteria were reports of toxicity of five or more patients with CVD and treatment with curative-intent RT to the breast or chest wall. Data abstracted included: type of study, CVD diagnosis, number of patients who received breast RT, acute grade ≥3, and late grade ≥1, grade ≥3, and grade 5 toxicity. Primary endpoint was late grade ≥3 toxicity for patients with pre-existing CVD. Acute and late toxicity were classified as per CTCAE version 5.0. Results: The initial search yielded 3286 unique abstracts. 34 articles were determined appropriate for full-text review. From these, a final set of 10 articles met all inclusion criteria. All studies were retrospective. In these studies, more than 30 000 patient cases were reported. 184 patients with CVD who underwent curative-intent RT to the breast or chest wall and had available toxicity data were identified, including 128 patients with CVD diagnosed before RT. In the 5 case control studies, 100 patients were matched to 225 controls. Most studies did not report the incidence of all grades of toxicity. Among patients with available data, 7/102 patients (7%) with pre-existing CVD had late grade ≥3 toxicity, including 4/6 (67%) with pre-existing scleroderma and 3/96 (3%) with pre-existing non-scleroderma CVD. 32/88 patients (36%) with pre-existing CVD and available data had late grade ≥1 toxicity. 1/142 (1%) had late grade 5 toxicity, in the form of chronic pericarditis. 6/66 patients (11%) with pre-existing CVD had acute grade ≥3 radiation dermatitis. No patients had acute grade 5 toxicity. Conclusions: Retrospective data suggest that patients with pre-existing CVD, aside from scleroderma, have acceptable acute and late toxicity rates after RT to the breast or chest wall.

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)0.006
metaresearch head score (Gemma)0.027
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.012
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.027
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0070.008
Bibliometrics0.0120.014
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0020.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.036
GPT teacher head0.392
Teacher spread0.355 · 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 designSystematic review
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

Citations0
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Clinical Oncology→Same topicBreast Cancer Treatment Studies→French-language works237,207→