MétaCan
Menu
Back to cohort
Record W2793994650 · doi:10.1016/j.bbmt.2017.12.137

Cyclosporine in Combination with Mycophenolate Mofetil Leads to Increased Incidence of Graft-Versus-Host Disease and Inferior Outcomes after Myeloablative Allogeneic Hematopoietic Cell Transplantation: A CIBMTR Analysis

2018· article· en· W2793994650 on OpenAlexaff
Betty K. Hamilton, Ying Liu, Michael Hemmer, Tao Wang, Saurabh Chhabra, Luciano J. Costa, Dennis Dong Hwan Kim, Olle Ringdén, Robert K. Stuart, Amin M. Alousi, Daniel R. Couriel, Joseph A. Pidala, Stephen R. Spellman, Navneet S. Majhail, Mukta Arora

Bibliographic record

VenueBiology of Blood and Marrow Transplantation · 2018
Typearticle
Languageen
FieldMedicine
TopicHematopoietic Stem Cell Transplantation
Canadian institutionsUniversity Health Network
Fundersnot available
KeywordsMedicineInternal medicineTacrolimusMethotrexateIncidence (geometry)GastroenterologyCalcineurinCumulative incidenceGraft-versus-host diseaseMycophenolateTransplantationCohortOncology

Abstract

fetched live from OpenAlex

The combination of a calcinuerin inhibitor (CNI) with methotrexate (MTX) remains the gold standard for GVHD prevention, however is associated with several toxicities. Although the combination of a CNI and mycophenolate mofetil (MMF) has been widely used, there is limited and conflicting data on the actual efficacy of MMF compared to MTX in myeloablative transplantation.

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)0.001
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.008
GPT teacher head0.250
Teacher spread0.242 · 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

Citations6
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueBiology of Blood and Marrow TransplantationSame topicHematopoietic Stem Cell TransplantationFrench-language works237,207