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Record W2987061088 · doi:10.1182/blood-2019-123059

An Ongoing Global, Longitudinal, Observational Study of Patients with Pyruvate Kinase Deficiency: The PEAK Registry

2019· article· en· W2987061088 on OpenAlexaff
Rachael F. Grace, Paola Bianchi, Bertil Glader, Andreas Glenthøj, Bryan Jones, Hitoshi Kanno, Kevin H.M. Kuo, D. Mark Layton, Eduard J. van Beers, Joan‐Lluís Vives Corrons, Tu Xu

Bibliographic record

VenueBlood · 2019
Typearticle
Languageen
FieldMedicine
TopicErythrocyte Function and Pathophysiology
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPyruvate kinase deficiencyMedicineAnemiaPediatricsObservational studyPyruvate kinaseJaundiceNewborn screeningInternal medicineGlycolysis

Abstract

fetched live from OpenAlex

Pyruvate kinase (PK) deficiency is an autosomal recessive disease caused by mutations in the PKLR gene that lead to reduced red blood cell PK (PK-R) enzyme activity. This rare hereditary glycolytic enzymopathy, with over 300 causative PKLR mutations identified to date, results in defective red blood cell glycolysis and hemolytic anemia. While the clinical presentation is variable, patients with PK deficiency may experience symptoms of hemolytic anemia, most commonly fatigue (sometimes extreme), jaundice, and dyspnea. No disease-specific therapy currently exists and treatment is limited to supportive care, including red blood cell transfusions, splenectomy/cholecystectomy, and iron chelation. Affected neonates may need phototherapy or exchange transfusions for severe hyperbilirubinemia. Allogeneic stem cell transplantation may cure the disease but experience is limited and the outcome is variable. Due the rarity of PK deficiency, its prevalence, clinical burden, and long-term clinical course are not well defined. To address this gap, Boston Children's Hospital is nearing completion of the observational PK deficiency Natural History Study (ClinicalTrials.gov NCT02053480; N=254) to better understand the natural history and clinical burden of the disease. This longitudinal analysis (2-year follow-up) will report on PK deficiency-related signs, symptoms, and treatment outcomes. In order to continue and expand upon the collection of longitudinal data for PK deficiency, the Pyruvate Kinase Deficiency Global Longitudinal Registry (the PEAK Registry; NCT03481738) was developed. This registry study is a global, longitudinal, observational study for adult and pediatric patients with PK deficiency. Its primary objective is to record the natural history, treatment, outcomes, variability in clinical manifestations, and disease burden of patients with PK deficiency. Secondary objectives include data collection to assess the prevalence, incidence, and complications associated with PK deficiency; evaluate pregnancy outcomes; and investigate possible phenotype-genotype correlations. The study also aims to provide longitudinal data to assist physicians with the clinical management of individual patients. In order to maximize the amount of longitudinal data available, a novel data management system is being employed to harmonize Natural History Study and PEAK Registry data. Approximately 500 patients will be enrolled over 7 years at an estimated 60 study centers in up to 20 countries in the 9-year study. All enrolled patients will be followed prospectively for at least 2 years and up to 9 years. Site and patient recruitment began in 2018. As of July 2019, 43 sites in 11 countries are active (Figure) and site recruitment has begun in Thailand, South Korea, and Australia. An update on patient enrollment will be provided. Disclosures Grace: Agios Pharmaceuticals, Inc: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Novartis: Research Funding. Bianchi:Agios Pharmaceuticals, Inc.: Consultancy. Glader:Agios Pharmaceuticals, Inc: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding. Glenthøj:Celgene: Consultancy; Novo Nordisk: Honoraria; Alexion: Research Funding; Novartis: Consultancy; Agios Pharmaceuticals, Inc.: Consultancy. Jones:Agios Pharmaceuticals, Inc.: Employment, Equity Ownership. Kanno:Agios Pharmaceuticals, Inc.: Honoraria. Kuo:Pfizer: Consultancy; Novartis: Consultancy, Honoraria; Celgene: Consultancy; Bluebird Bio: Consultancy; Bioverativ: Other: Data Safety Monitoring Board; Agios: Consultancy; Alexion: Consultancy, Honoraria; Apellis: Consultancy. Layton:Novartis: Membership on an entity's Board of Directors or advisory committees; Agios: Membership on an entity's Board of Directors or advisory committees; Cerus Corporation: Membership on an entity's Board of Directors or advisory committees. van Beers:Pfizer: Research Funding; RR Mechatronics: Research Funding; Agios Pharmaceuticals, Inc.: Membership on an entity's Board of Directors or advisory committees, Research Funding; Novartis: Consultancy, Research Funding. Xu:Agios: Employment, Equity Ownership.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.004
Threshold uncertainty score0.260

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.038
GPT teacher head0.280
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 teacher head, 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

Citations2
Published2019
Admission routes1
Has abstractyes

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