MétaCan
Menu
Back to cohort
Record W4308835080 · doi:10.1111/petr.14333

The <scp>IPTA</scp> Nashville consensus conference on post‐transplant lymphoproliferative disorders after solid organ transplantation in children: I—Methodology for the development of consensus practice guidelines

2022· review· en· W4308835080 on OpenAlexafffund
James D. Wilkinson, Upton Allen, Michael Green, Anne I. Dipchand, Vikas R. Dharnidharka, Carlos O. Esquivel, Britta Maecker‐Kolhoff, Jutta Preiksaitis, Steven H. Swerdlow, Steven A. Webber

Bibliographic record

VenuePediatric Transplantation · 2022
Typereview
Languageen
FieldMedicine
TopicViral-associated cancers and disorders
Canadian institutionsUniversity of AlbertaSickKids FoundationHospital for Sick ChildrenUniversity of Toronto
FundersSchool of Medicine, Vanderbilt UniversityHospital for Sick ChildrenWashington University in St. Louis
KeywordsMedicineConsensus conferenceLymphoproliferative disordersTransplantationClinical PracticeOrgan transplantationIntensive care medicinePediatricsImmunologyFamily medicineLymphomaInternal medicine

Abstract

fetched live from OpenAlex

The International Pediatric Transplant Association (IPTA) Consensus Conference on Practice Guidelines for the Diagnosis, Prevention, and Management of Post-Transplant Lymphoproliferative Disorders after Solid Organ Transplantation in Children took place on March 12-13, 2019, and the work of conference members continued until the end of December 2021. The goal was to produce evidence-based consensus guidelines on the definitions, diagnosis, prevention, and management of PTLD and related disorders based on the critical review of the literature and consensus of experts. This report describes the goals, organization, and methodology of the consensus conference and follow-up activities. The results of each working group (Definitions, Prevention, Management, and Epstein-Barr viral [EBV] load/Biomarker Monitoring) are presented in separate manuscripts within this volume of Pediatric 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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.863
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.075
GPT teacher head0.374
Teacher spread0.300 · 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 teacher head, not a consensus.

Study designOther design
Domainnot available
GenreReview

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

Citations7
Published2022
Admission routes2
Has abstractyes

Explore more

Same venuePediatric TransplantationSame topicViral-associated cancers and disordersFrench-language works237,207