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Record W3082335528 · doi:10.14785/lymphosign-2020-0008

Report of the Canadian Expert Committee on the management of ADA deficiency

2020· article· en· W3082335528 on OpenAlexaffvenueabout
Rae Brager, Parwinder Gill, Alison Haynes, Kyla J. Hildebrand, Vy H.D. Kim, Thomas B. Issekutz, Christine McCusker, Luis Murguía-Favela, Brenda Reid, Tamar Rubin, Julia Upton, Chaim M. Roifman

Bibliographic record

VenueLymphoSign Journal · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicVirus-based gene therapy research
Canadian institutionsUniversity of ManitobaChildren's Hospital of WinnipegUniversity of CalgaryMcGill University Health CentreIzaak Walton Killam Health CentreDalhousie UniversityWestern UniversityUniversity of TorontoChild and Family Research InstituteHospital for Sick ChildrenUniversity of British ColumbiaMemorial University of NewfoundlandMcMaster UniversityMcMaster Children's Hospital
Fundersnot available
KeywordsAdenosine deaminase deficiencyAdenosine deaminaseSevere combined immunodeficiencyImmunodeficiencyHematopoietic stem cell transplantationMedicineEnzyme replacement therapyGenetic enhancementImmune systemFailure to thriveTransplantationImmunologyPediatricsGeneInternal medicineBiologyAdenosineDiseaseGenetics

Abstract

fetched live from OpenAlex

Adenosine deaminase (ADA) deficiency is a form of severe combined immunodeficiency. Aberrant mutations in the ADA gene result in loss of ADA activity and the toxic accumulation of metabolites that damage both immune and non-immune organs. While patients with complete ADA deficiency present during infancy with failure to thrive, recurrent bacterial, viral and fungal infections, those with incomplete (partial) deficiency may present at a later age with milder symptoms associated with reduced T, B, and NK cell subpopulations. Based on experience in Canadian centres, we provide management guidelines for patients with ADA deficiency, including a treatment algorithm for use of hematopoietic stem cell transplantation, gene therapy, and enzyme replacement therapy. Statement of novelty: Herein, we define guidelines for the management and treatment of patients with ADA deficiency.

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)0.018
metaresearch head score (Gemma)0.028
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: Empirical · Consensus signal: none
Teacher disagreement score0.980
Threshold uncertainty score0.887

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0180.028
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0030.002
Science and technology studies0.0050.002
Scholarly communication0.0040.001
Open science0.0050.003
Research integrity0.0110.010
Insufficient payload (model declined to judge)0.0110.005

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 head0.030
GPT teacher head0.278
Teacher spread0.249 · 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
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

Citations0
Published2020
Admission routes3
Has abstractyes

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