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Record W3176099878 · doi:10.1002/hon.49_2879

IMPACT OF DIFFERENT INDUCTION REGIMENS ON THE OUTCOME OF PRIMARY MEDIASTINAL B CELL LYMPHOMA IN THE PROSPECTIVE IELSG 37 TRIAL

2021· article· en· W3176099878 on OpenAlexaff
Maurizio Martelli, Emanuele Zucca, Barbara Botto, Irina Kryachok, Luca Ceriani, Monica Balzarotti, Alessandra Tucci, M. G. Cabras, Vittorio Ruggero Zilioli, C. Rusconi, F. Angrilli, Luca Arcaini, A. Dabrowska Iwanicka, Andrés J.M. Ferreri, Francesco Merli, Weili Zhao, David Hodgson, C Ionescu, Alexander Fosså, Kate Cwynarski, G. Mikhaeel, Mats Jerkeman, Andrea Janíková, Andreas Hüttmann, Giovannino Ciccone, Ur Metser, Sally F. Barrington, Bogdan Małkowski, Annibale Versari, F. Espósito, Kelly Cozens, Nicoletta Ielmini, R. Ricardi, Franco Cavalli, Peter Johnson, Alex Davies

Bibliographic record

VenueHematological Oncology · 2021
Typearticle
Languageen
FieldMedicine
TopicLymphoma Diagnosis and Treatment
Canadian institutionsPrincess Margaret Cancer CentreSt. Thomas HospitalUniversity Health Network
FundersPharmacyclicsSwiss Cancer Research FoundationSchweizerische Arbeitsgemeinschaft für Klinische KrebsforschungSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungCelltrionBeiGeneAstraZenecaCelltrion HealthcareGilead SciencesCelgeneAmgenPfizerCancer Research UKIncyteNational Science Foundation
KeywordsMedicineClinical endpointRegimenRituximabChemoimmunotherapyInternal medicineOncologyPopulationRandomized controlled trialLymphomaSurgery

Abstract

fetched live from OpenAlex

Patients and Methods: Patients with stage I-II PTL were eligible. Treatment consisted of 6 cycles of the standard R-CHOP21 regimen (rituximab, cyclophosphamide, doxorubicin, vincristine and prednisone every 21 days); 4 doses of intrathecal liposomal cytarabine; 2 courses of intravenous (iv) intermediate-dose methotrexate (1.5 gr/m2) and RT (25-30 Gy) to the contralateral testis.

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)0.004
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 score0.004
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.003
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.072
GPT teacher head0.352
Teacher spread0.280 · 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

Citations13
Published2021
Admission routes1
Has abstractyes

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