MétaCan
Menu
← Back to cohort
Record W2472197357 · doi:10.1182/blood-2016-06-716902

A pharmacogenetic analysis of the Canadian Cancer Trials Group MY.10 clinical trial of maintenance therapy for multiple myeloma

2016· letter· en· W2472197357 on OpenAlexaffabout
Ming Han, Alli Murugesan, Nizar J. Bahlis, Kevin Song, Darrell White, Christine Chen, Matthew D. Seftel, Kang Howsen-Jan, Donna Reece, Keith Stewart, Ya‐Gang Xie, Annette E. Hay, Lois E. Shepherd, Marina Djurfeldt, Liting Zhu, Ralph M. Meyer, Bingshu E. Chen, Tony Reiman

Bibliographic record

VenueBlood · 2016
Typeletter
Languageen
FieldMedicine
TopicMultiple Myeloma Research and Treatments
Canadian institutionsMcMaster UniversityJuravinski HospitalQueen's UniversityLondon Health Sciences CentrePrincess Margaret Cancer CentreQueen Elizabeth II Health Sciences CentreUniversity of New BrunswickDalhousie UniversitySaint John Regional HospitalVancouver General HospitalUniversity of Calgary
Fundersnot available
KeywordsMedicineMaintenance therapyMelphalanMultiple myelomaOncologyInternal medicineClinical trialRandomized controlled trialChemotherapyCancerLenalidomideIntensive care medicine

Abstract

fetched live from OpenAlex

To the editor: Multiple myeloma is often treated with high-dose melphalan chemotherapy followed by maintenance therapy with immunomodulatory agents aimed to delay disease progression and prolong survival. Although it is routinely offered to many patients, randomized trials of maintenance therapy

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)0.012
metaresearch head score (Gemma)0.059
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.057
Threshold uncertainty score0.113

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.059
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.002
Science and technology studies0.0020.002
Scholarly communication0.0020.001
Open science0.0030.001
Research integrity0.0140.015
Insufficient payload (model declined to judge)0.0050.002

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 head0.147
GPT teacher head0.429
Teacher spread0.283 · 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

Citations4
Published2016
Admission routes2
Has abstractyes

Explore more

Same venueBlood→Same topicMultiple Myeloma Research and Treatments→French-language works237,207→