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Record W4388597915 · doi:10.1016/j.rpth.2023.101454

PB0332 Hereditary Thrombotic Thrombocytopenic Purpura: A Survey of Canadian Treaters

2023· article· en· W4388597915 on OpenAlexaffabout
Michelle Kasimov, Alexandra Moorehead, Katerina Pavenski

Bibliographic record

VenueResearch and Practice in Thrombosis and Haemostasis · 2023
Typearticle
Languageen
FieldImmunology and Microbiology
TopicComplement system in diseases
Canadian institutionsSt. Michael's Hospital
Fundersnot available
KeywordsThrombotic thrombocytopenic purpuraMedicinePurpura (gastropod)Internal medicinePediatricsPlateletBiology

Abstract

fetched live from OpenAlex

Background: hTTP is an ultra-rare disease characterized by microangiopathic hemolytic anemia, thrombocytopenia, and organ damage by microthrombi and caused by a defect in the ADAMTS13 gene.hTTP affects approximately 1 in 1,000,000 people and is expected to affect 38 Canadians.However, no Canadian data exist on the prevalence or treatment of this condition.Aims: The objective was to survey Canadian physicians on the prevalence, significance, and treatment of hTTP in Canada.Methods: We conducted an electronic survey (SurveyMonkey ® ) of physicians, mainly hematologists, to collect data on their hTTP patients.Participants were given 4 months to complete the survey between August 2021 and December 2021.The survey collected data on prevalence, disease burden and treatment of hTTP patients.Descriptive analysis was used to analyze the results.Results: We received 48 responses.Of these responses, 23 respondents (47.9%) have managed at least one hTTP patient in their careers.All respondents practiced in academic centres, with 83% treating adult patients.Over the course of their practice, the respondents have collectively managed 29 hTTP patients.Most physicians managed 1(57.9%) or 2(31.6%)hTTP patients.At the time of the survey, 14 patients were actively managed and 12/14(85.7%)had ADAMTS13 genetic testing done.11/14(78.6%)have experienced at least one acute episode of TTP and/or organ damage.6/14 (42.8%) of patients have had at least one stroke and 3/14(21.4%)have a permanent disability.Out of all the patients that were ever managed by the respondents, 2 have died because of disease complications (Figure 1).11/14 (78.6%) patients are on prophylactic plasma infusions.

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)0.004
metaresearch head score (Gemma)0.003
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 score0.311
Threshold uncertainty score0.717

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.354
GPT teacher head0.447
Teacher spread0.093 · 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

Citations0
Published2023
Admission routes2
Has abstractyes

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