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Record W2298476233

A Survival Score for Patients Receiving Stereotactic Radiosurgery Alone for Brain Metastases from Breast Cancer.

2016· article· en· W2298476233 on OpenAlexaff
Dirk Rades, Liesa Dziggel, Stefan Janssen, Oliver Blanck, Dagmar Hornung, Steven E. Schild

Bibliographic record

VenuePubMed · 2016
Typearticle
Languageen
FieldMedicine
TopicBrain Metastases and Treatment
Canadian institutionsAboriginal Affairs Northern Dev Canada
Fundersnot available
KeywordsMedicineRadiosurgeryBreast cancerBrain metastasisOverall survivalCancerInternal medicineOncologyMetastasisRadiation therapy
DOInot available

Abstract

fetched live from OpenAlex

AIM: To generate a survival score for patients with breast cancer treated with stereotactic radiosurgery (SRS) alone for brain metastases. PATIENTS AND METHODS: Seven factors were evaluated in 34 patients, namely age, performance score, number of brain metastases, maximum diameter of all brain metastases, location of brain metastases, extracerebral metastases and time between breast cancer diagnosis and SRS. The score was created from factors having a significant impact on survival. Points of 0 (worse survival) or 1 (better survival) were assigned. Factor scores were added to total prognostic scores for each patient. RESULTS: A significant impact on survival was found for performance score (p<0.001), maximum diameter of cerebral lesions (p=0.002), and extracerebral metastases (p=0.026). Three groups were designated by score: 0-1, 2 and 3 points. One-year survival rates were 48%, 71% and 100%, respectively (p<0.001). CONCLUSION: This score contributes to appropriate selection of personalized treatment in patients with breast cancer with few cerebral 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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.748
Threshold uncertainty score0.639

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.042
GPT teacher head0.268
Teacher spread0.226 · 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 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

Citations12
Published2016
Admission routes1
Has abstractyes

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