MétaCan
Menu
Back to cohort
Record W4405493927 · doi:10.1016/j.jtct.2024.12.011

Pediatric Transplant and Cellular Therapy Consortium RESILIENT Conference on Pediatric Chronic Graft-Versus-Host Disease Survivorship After Hematopoietic Cell Transplantation: Part I. Phases of Chronic GVHD, Supportive Care, and Systemic Therapy Discontinuation

2024· article· en· W4405493927 on OpenAlexaff
Neel S. Bhatt, Andrew C. Harris, Lev Gorfinkel, Katarzyna Ibanez, Eric R. Tkaczyk, Sandra A. Mitchell, Stacey Albuquerque, Tal Schechter, Steven Z. Pavletic, Christine Duncan, Seth J. Rotz, Kirsten M. Williams, Paul A. Carpenter, Geoff D.E. Cuvelier

Bibliographic record

VenueTransplantation and Cellular Therapy · 2024
Typearticle
Languageen
FieldMedicine
TopicHematopoietic Stem Cell Transplantation
Canadian institutionsAlberta Children's HospitalHospital for Sick Children
FundersNational Heart, Lung, and Blood InstituteNational Cancer InstituteNational Institutes of HealthPediatric Blood and Marrow Transplant ConsortiumPediatric Transplantation and Cellular Therapy ConsortiumU.S. Department of Veterans Affairs
KeywordsMedicineHematopoietic cellDiscontinuationHematopoietic stem cell transplantationDiseaseTransplantationGraft-versus-host diseaseSurvivorship curveIntensive care medicineChronic diseaseImmunologyHaematopoiesisStem cellInternal medicineCancerBiology

Abstract

fetched live from OpenAlex

Current literature lacks details on the impact of pediatric chronic graft-versus-host disease (cGVHD) on long-term survivorship after allogeneic hematopoietic cell transplantation (HCT). Nonetheless, cGVHD remains a leading cause of post-transplant morbidity and mortality in children and adolescents, which is particularly relevant given the longer life-expectancy after HCT (measured in decades) compared to older adults. To address this knowledge gap, leaders of the Pediatric Transplant and Cellular Therapy Consortium convened a multidisciplinary taskforce of experts in pediatric cGVHD and HCT late effects known as RESILIENT after Chronic GVHD (Research and Education towards Solutions for Late effects to Innovate, Excel, and Nurture after cGVHD). Our goals were to define: (1) the current state of understanding about how cGVHD impacts long-term survivorship in children transplanted <18 yr of age; (2) practical aspects of care to help clinicians managing long-term pediatric cGVHD survivors; and (3) develop a research framework for the next decade to further our knowledge. Four working groups were formed, each tasked with addressing a unique theme: (1) cGVHD natural history (phases of cGVHD) and its impact on clinicians' ability to taper and durably discontinue systemic therapy; (2) organ dysfunction and immune reconstitution in relation to survivorship; (3) how cGVHD and its treatment impact growth, metabolism, and development in children; and (4) psychosocial health and patient reported outcomes. The 4 groups met before the 2024 BMT Tandem Meeting in San Antonio, Texas, and then convened a larger in-person RESILIENT conference held on February 20, 2024, at the Tandem meeting to put forth recommendations from their respective working groups and garner feedback. These recommendations are now presented in a series of 4 manuscripts. This current manuscript focuses on the first theme and discusses the phases of cGVHD, challenges in differentiating clinically active from quiescent cGVHD in clinical practice, and the resultant difficulties in determining when and if to taper systemic therapy. To overcome these challenges, we propose revised categorization of long-term cGVHD outcomes and practical recommendations for clinicians and researchers around the long-term follow-up for these patients, including determining when and if to taper systemic therapy, along with the integration of non-immunosuppressive supportive care interventions.

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)0.016
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.016
Threshold uncertainty score0.086

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0160.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0030.002
Scholarly communication0.0030.002
Open science0.0030.005
Research integrity0.0070.012
Insufficient payload (model declined to judge)0.0090.002

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 head0.021
GPT teacher head0.260
Teacher spread0.239 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2024
Admission routes1
Has abstractno

Explore more

Same venueTransplantation and Cellular TherapySame topicHematopoietic Stem Cell TransplantationFrench-language works237,207