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Multifocality and Multifocal Postradiation Sarcomas

2006· article· en· W1997172506 on OpenAlexaff
Ginger E. Holt, Brian Thomson, Anthony M. Griffin, R. S. Bell, Jay S. Wunder, Bruce T. Rougraff, Herbert S. Schwartz

Bibliographic record

VenueClinical Orthopaedics and Related Research · 2006
Typearticle
Languageen
FieldMedicine
TopicSarcoma Diagnosis and Treatment
Canadian institutionsMount Sinai Hospital
Fundersnot available
KeywordsMedicineSarcomaPathology

Abstract

fetched live from OpenAlex

UNLABELLED: Hypothetically, any site in a radiation portal has potential for late malignant transformation. Secondary malignant neoplasms may occur after almost any index cancer has been treated with radiation and/or chemotherapy. The incidence of secondary malignant neoplasms, histopathology, time delay, radiation dose, cytotoxic agents, age and type of initial malignancy, and outcome all negatively impact cancer survivors. We highlight the new concept of multifocality, defined as greater than two noncontiguous second malignant neoplasms that develop in a prior radiation port. We identified 48 patients with postradiation sarcomas from three prospectively collected databases. Fifteen of these patients (31%) had evidence of multifocal postradiation sarcomas. Five of 10 women had multifocal postradiation sarcomas after breast-conserving surgery for carcinoma. The longer the time interval between the index cancer and post-radiation sarcoma, the greater the likelihood of multifocal malignant transformation occurring. LEVEL OF EVIDENCE: Therapeutic study, level III.

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)0.001
metaresearch head score (Gemma)0.004
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 score0.006
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.092
GPT teacher head0.437
Teacher spread0.345 · 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".

Quick stats

Citations22
Published2006
Admission routes1
Has abstractyes

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