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Incidence and Clinical Features of Acute Promyelocytic Leukemia In a Population-Based Canadian Cohort

2010· article· en· W2586067937 on OpenAlexaffabout
Kristjan Paulson, David Szwajcer, Arshad N. Ahsanuddin, Pascal Lambert, Donna Turner, Morel Rubinger, Rajat Kumar, Matthew D. Seftel

Bibliographic record

VenueBlood · 2010
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRetinoids in leukemia and cellular processes
Canadian institutionsUniversity of ManitobaCancerCare Manitoba
Fundersnot available
KeywordsIncidence (geometry)PopulationMedicineEpidemiologyAcute promyelocytic leukemiaCohortPediatricsAcute leukemiaInternal medicineLeukemiaBiologyGenetics

Abstract

fetched live from OpenAlex

Abstract Abstract 4374 Introduction: Acute promyelocytic leukemia (APL) is a rare malignancy whose causes and epidemiology are not well known. The incidence of APL in the United States was estimated to be 0.22 cases per 100,000 population, and a higher incidence has been suggested in specific geographic or ethnic sub-groups. However, clinical and epidemiological data on APL arise primarily from clinical trials and single centre experiences rather than population-based data, which may lead to selection bias. We studied a cohort of APL cases in a well defined population using the diagnostic gold standard of polymerase chain reaction (PCR) testing. Methods: The Canadian province of Manitoba, with a population of 1.2 million, has a single referral centre for the definitive diagnosis and clinical care of all acute leukemia patients. Only one laboratory is capable of performing PCR based testing for the PML-RARA fusion gene product. We examined consecutively diagnosed patients with APL based on PCR testing from January 1999 until July 31 2010 in order to determine the incidence, clinical characteristics, and outcomes of patients with APL. Results: Over the 11.5 year period of observation, 24 patients were diagnosed with APL. Based on the 2006 Canadian census, the annual incidence of APL in Manitoba is thus 0.18/100,000 population. These cases did not appear to be distributed evenly, with an average of 1.1 cases diagnosed annually between 2002 and 2008 compared to six cases diagnosed in the most recent period between 2009 and 2010 (relative to 2002–2008, incident rate ratio (IRR) 2.61, p = 0.075) and ten cases diagnosed between 1999 and 2001 (IRR 2.94, p = 0.023). Symptomatic CNS disease at diagnosis was present in 3 (12.5%) patients. Thirteen patients developed differentiation syndrome during the course of their therapy (54.1%). In all but one patient, ATRA was able to be successfully resumed. Ten patients presented with DIC (41.7%). Conclusions: In this population-based study, we noted episodic clustering of new cases and a relatively high proportion of CNS disease at diagnosis. While these observations may be due to normal fluctuations in the patterns a rare disease, this could also suggest an underlying environmental trigger. Additional investigation is required to confirm or refute this hypothesis, due to the relatively small numbers in this cohort. The high rate of CNS disease suggests that this finding maybe more common than previously thought. As the pathogenesis of APL remains unclear, these observations deserve additional epidemiological investigation in larger cohorts. Disclosures: Kumar: Celgene: Membership on an entity's Board of Directors or advisory committees.

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 score0.054
Threshold uncertainty score0.992

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 head0.004
GPT teacher head0.256
Teacher spread0.251 · 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
Published2010
Admission routes2
Has abstractyes

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