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Record W2911468021 · doi:10.1093/pch/pxy197

Diagnosis and management of typical, newly diagnosed primary immune thrombocytopenia (ITP) of childhood

2019· review· en· W2911468021 on OpenAlexaff
Jeremy Friedman, Carolyn E Beck

Bibliographic record

VenuePaediatrics & Child Health · 2019
Typereview
Languageen
FieldMedicine
TopicPlatelet Disorders and Treatments
Canadian institutionsCanadian Paediatric Society
Fundersnot available
KeywordsImmune thrombocytopeniaMedicinePharmacotherapyPrimary carePediatricsIntensive care medicineAntibodyImmunologyFamily medicineInternal medicine

Abstract

fetched live from OpenAlex

This practice point applies to children aged 90 days through 17 years who have typical, newly diagnosed primary immune thrombocytopenia (ITP). Current recommendations on management and information from recent studies are summarized with the goal of decreasing variable practice among providers and improving patient-centred care. Options for initially managing young patients with ITP who experience bruising, petechiae, or occasional mild epistaxis not interfering with daily living include observation without pharmacotherapy as a first-line option. When active therapy is pursued, choices include the use of corticosteroids and intravenous immunoglobulin. Children with moderate or severe bleeding continue to require hospitalization and treatment. Shared decision-making can enhance patient-centred care and ensure that the families have a full understanding of the management options available.

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)0.000
metaresearch head score (Gemma)0.002
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: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.319
Teacher spread0.289 · 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
GenreReview

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

Citations18
Published2019
Admission routes1
Has abstractyes

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