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Record W4389242311 · doi:10.1002/ajh.27167

Dosage of high‐dose methotrexate as <scp>CNS</scp> prophylaxis in <scp>DLBCL: A</scp> detailed analysis of toxicity and impact on <scp>CNS</scp> relapse

2023· letter· en· W4389242311 on OpenAlexaboutno aff
Matthew R. Wilson, Amy A. Kirkwood, Nicole Wong Doo, Carole Soussain, Sylvain Choquet, Charlotte Lees, Christopher P. Fox, Gavin Preston, Matthew J. Ahearne, Tim Strüßmann, Aline Clavert, Chiara Rusconi, Matthew Ku, Jahanzaib Khwaja, Mayur Narkhede, Katharine L. Lewis, Éric Durot, Jeffery Smith, Loïc Renaud, Andrés J.M. Ferreri, Tarec Christoffer El‐Galaly, Kate Cwynarski, Pam McKay, Toby A. Eyre

Bibliographic record

VenueAmerican Journal of Hematology · 2023
Typeletter
Languageen
FieldMedicine
TopicCNS Lymphoma Diagnosis and Treatment
Canadian institutionsnot available
FundersUniversity of Texas MD Anderson Cancer CenterCentre Léon BérardCambridge University HospitalsBeiGeneAalborg UniversitetGilead SciencesAtara BiotherapeuticsAssistance publique-Hôpitaux de ParisUniversity Hospital Southampton NHS Foundation TrustAalborg UniversitetshospitalIncyteBrown UniversityUniversity of CambridgeUniversity Hospitals Bristol NHS Foundation TrustCelgene
KeywordsMethotrexateMedicineRetrospective cohort studyInternal medicineOncologyLymphomaToxicityAntifolateAntimetabolite

Abstract

fetched live from OpenAlex

Central nervous system (CNS) relapse in diffuse large B-cell lymphoma (DLBCL) is a rare event, occurring in 2%-5% and is associated with a poor prognosis.1 Certain patient and disease

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)0.004
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: Commentary · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.014
GPT teacher head0.293
Teacher spread0.279 · 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
GenreCommentary

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

Citations6
Published2023
Admission routes1
Has abstractyes

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