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Record W2736055227 · doi:10.7759/cureus.1458

Severe Late Toxicity After Adjuvant Breast Radiotherapy in a Patient with a Germline Ataxia Telangiectasia Mutated Gene: Future Treatment Decisions

2017· article· en· W2736055227 on OpenAlexaff
Maryam Dosani, Kasmintan A. Schrader, Alan Nichol, Sophie Sun, Tamara Shenkier, Zoe Lohn, Gudrun Aubertin, Scott Tyldesley

Bibliographic record

VenueCureus · 2017
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicDNA Repair Mechanisms
Canadian institutionsBC Cancer Agency
Fundersnot available
KeywordsMedicineLumpectomyTelangiectasiaAtaxia-telangiectasiaRadiation therapyBreast cancerGermline mutationOncologyMastectomyPathologyInternal medicineCancerMutationGeneDNA damage

Abstract

fetched live from OpenAlex

Ataxia telangiectasia mutated (ATM) gene mutations may confer increased sensitivity to ionizing radiation and increased risk of late toxicity for cancer patients. We present the case of a 55-year-old female treated with adjuvant breast and regional nodal radiation following lumpectomy and axillary lymph node dissection for stage II invasive ductal carcinoma of the breast. She developed severe telangiectasia, fibrosis, induration, chest wall pain (with evidence of rib fractures on imaging), and painful limitation in her range of motion at the shoulder. She was subsequently found to have a likely pathogenic germline ATM gene mutation. At relapse, she elected to pursue systemic therapy alone for intracranial metastases.

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)0.000
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.184
Threshold uncertainty score0.748

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.007
GPT teacher head0.240
Teacher spread0.233 · 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 designBench or experimental
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

Citations15
Published2017
Admission routes1
Has abstractyes

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