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Record W4231603590 · doi:10.1016/s0167-8140(15)40189-6

OC-0191: IAEA randomised trial of optimal single dose radiotherapy in the treatment of painful bone metastases

2015· article· en· W4231603590 on OpenAlexaff
P. Hoskin, A.M. Rojas, R. Jalali, A.M. Merino, A. Poitevin, S. Oucrif, S. Abdelwahab, L. Kochbati, A. Plieskiene, F. Casas, S. Stojanovic, G. Schneider, E. Fidarova, B. Jeremic

Bibliographic record

VenueRadiotherapy and Oncology · 2015
Typearticle
Languageen
FieldMedicine
TopicMedical Imaging Techniques and Applications
Canadian institutionsQueen's University
Fundersnot available
KeywordsMedicineRadiation therapyRadiation doseNuclear medicineRadiology

Abstract

fetched live from OpenAlex

S963rd ESTRO Forum 2015 staging occurred, but were not different by study arm.Surgical resection rate was 49/71 in A, and 43/71 in B, with total margin status of 83 R0, 6 R1 and 3 R2, which by study arm was A 45:2:2 and B 38:4:1, p=0.6.Grades of AE, stomarelated events, non-stoma-related surgical complications, and lab work were similar.Conclusions: Differences in surgical resection rates (69% vs. 60%), R0 pathological margins (62% vs. 52%), and overall survival (63% and 55%) were not statistically significant, while relative safety was demonstrated for short-course RT.With a mean follow-up of 1.5 years, the preliminary results of this trial do not show a significant difference between randomization arms.An operability rate of 60% is important for a group of patients deemed inoperable/borderline at diagnosis in this group of developing countries.

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)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0060.004
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0020.006
Insufficient payload (model declined to judge)0.0140.001

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 head0.059
GPT teacher head0.372
Teacher spread0.313 · 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 designRandomized trial
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

Citations0
Published2015
Admission routes1
Has abstractno

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