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Shwachman-Diamond Syndrome: Development of a North American Registry to Assess Long-Term Outcomes, Risk of Leukemia and Other Complications.

2009· article· en· W2550132245 on OpenAlexaff
Akiko Shimamura, Audrey Anna Bolyard, Tracy M. Marrero, Melissa Alvendia, Lynda Ellis, Johanna M. Rommens, Richard E. Harris, Peter R. Durie, Yigal Dror, David C. Dale

Bibliographic record

VenueBlood · 2009
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBlood disorders and treatments
Canadian institutionsUniversity of TorontoHospital for Sick Children
Fundersnot available
KeywordsMedicineNeutropeniaAbsolute neutrophil countSepsisPediatricsInternal medicineLeukemiaSurgeryChemotherapy

Abstract

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Abstract Abstract 1363 Shwachman-Diamond syndrome (SDS) is characterized by neutropenia, bone marrow failure, pancreatic dysfunction, and skeletal abnormalities. Its clinical manifestations are variable and there are no reliable clinical or molecular predictors for patient outcomes. In collaboration with the Severe Chronic Neutropenia International Registry (SCNIR), we have established a North American Shwachman-Diamond Registry (NASDSR) to understand the molecular basis, phenotype, natural history and treatment responses of patients with SDS. In this report, we summarize findings related to severe neutropenia and the risk of severe infections or leukemia in 26 patients [12 adults (6 female, 6 male) and 14 children (5 female and 9 male, less than 18 years of age)] observed for up to 12 years (median 3, range 1 to 12), initially enrolled through the SCNIR. 21 of 26 patients were neutropenic prior to enrollment, median absolute neutrophil count (ANC) 0.476 × 109/L, range 0.070 × 109/L to 0.935 × 109/L. Five patients have never received G-CSF. Of the twenty-one patients (ages 4 to 47) who received G-CSF continuously or intermittently, (median dose 1.88 mcg/kg/day, range 0.00 mcg/kg/day to 17.50 mcg/kg/day), 18 are doing well with stable neutrophil responses while on treatment, after a median treatment period of 3 years. Three deaths and outcomes for two other patients are of particular interest. Patient #1 (8 months, female) was hospitalized for infections for most of her life and died at the age of 8 months due to sepsis with multi-organ system failure. This patient received G-CSF only during the final month of life. Patient #2 (age 21, female) developed AML with del(3p)(7)(21)[7] and died in relapse 25 days after starting G-CSF at a dose of 6.0 mcg/kg/day for treatment of severe neutropenia. Patient #3 (age 8, female) received G-CSF (median dose of 8.25 mcg/kg/day) for nearly 6 years, i.e., from age 16 months until developing a cytogenetic abnormality 45,XX,t(6;13)(q21;q32), -7 [3]/46,XX[47] at age 7 years. She underwent a bone marrow transplant 7 months later and died of sepsis after failing to engraft. Patient #4 (age 14, male) received a transplant after developing a cytogenetic abnormality 46,XY[15];46,Xydel(7)(q22q34)[5], 5 years after starting G-CSF at a median dose of 5 mcg/kg/day. Patient #4 is currently 28 years old. Patient #5 (age 7, male) received a matched sibling transplant because of mild marrow dysplastic changes without cytogenetic abnormalities after receiving G-CSF (1.3 mcg/kg/day) with good neutrophil response for 8 years. He is doing well at 3 years after transplantation. All of the enrolled patients have other manifestations of SDS including steatorrhea due to pancreatic insufficiency, hepatomegaly, splenomegaly, and osteopenia. None has developed non-hematological malignancies. The SCNIR-NASDSR seeks to enroll additional patients in North America to build an accurate database for molecular studies and clinical recommendations for this important disease. Disclosures Dale: Amgen: Consultancy, Research Funding, Speaker; Merck: Research Funding.

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)0.003
metaresearch head score (Gemma)0.004
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 score0.008
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.016
GPT teacher head0.272
Teacher spread0.255 · 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

Citations2
Published2009
Admission routes1
Has abstractyes

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