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Record W7115016036 · doi:10.1093/pch/pxaf116.001

01 Impact of the implementation of a revised practice guideline on hospitalization and treatment for the management of acute immune thrombocytopenia in children

2025· article· en· W7115016036 on OpenAlexaff

Bibliographic record

VenuePaediatrics & Child Health · 2025
Typearticle
Languageen
FieldMedicine
TopicPlatelet Disorders and Treatments
Canadian institutionsCentre Hospitalier Universitaire Sainte-Justine
Fundersnot available
KeywordsGuidelineImmune thrombocytopeniaPlateletEmergency departmentClinical PracticeMajor bleeding

Abstract

fetched live from OpenAlex

Abstract Background Acute immune thrombocytopenia (aITP) is a common hematologic disorder in children. ITP is often transient, and severe bleeding rare despite low platelet counts. Observation without treatment is therefore deemed safe in the absence of significant bleeding. Current guidelines prioritize clinical bleeding scores over platelet counts for treatment decisions. Objectives This study assesses whether a bleeding score-based approach reduces treatment rates without increasing severe bleeding risk in paediatric acute ITP. Design/Methods Clinical practice guidelines for managing aITP in the emergency department (ED) were revised at CHU Sainte-Justine in September 2021. The new algorithm recommended treatment for patients with Buchanan bleeding score ≥3 without considering platelet count, while the previous one suggesting treatment with platelet count < 10x109/L. We compared patient management before (PRE group: Jan 2019–Dec 2020) and after (POST group: Jan 2022–Dec 2023) implementation. We included patients <18 years diagnosed with acute ITP in the ED. We used non-parametric Wilcoxon–Mann-Whitney and Fisher's exact tests for continuous and discrete variable, respectively. Results In the study period, 84 patients were included for analysis: 34 patients PRE and 50 POST. Mean age was 5 years and baseline characteristics did not differ between the two groups. The mean platelet count at diagnosis was <10 x109/L. In the POST period, the guideline was followed in 88% of cases. More patients were observed without treatment at diagnostic in the ED with the new guideline (PRE 24% [8/34], POST 58% [29/50] p=0.002). The effect was mainly due to a higher observation rate in patients with low bleeding score (PRE 32% [7/22], POST 84% [26/31] resulting in 52% increase of observation rate (RR 2.6, [95%CI 1.38-5.06]). Treatment initiation within 3 months also decreased (PRE 85% [29/34], POST 62% [31/50] p=0.027). Fewer patients were admitted to the hospital from the ED (PRE 62% [21/34], POST 22% [11/50] p=0,0005). No complications such as intracranial bleeding or death were observed. There was only 1 severe bleeding in PRE but none in POST. Conclusion Transitioning from platelet-based to bleeding-score based guideline reduced treatment use in the ED, and decreased hospitalizations. Importantly, no increase in severe bleeding or chronic ITP were identified. Collaboration between ED physicians, paediatricians, and hematologists ensured the guideline's feasibility, compliance and safety.

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)0.006
metaresearch head score (Gemma)0.037
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 score0.044
Threshold uncertainty score0.087

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.037
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.011
GPT teacher head0.370
Teacher spread0.359 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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