Egyptian pediatric guidelines for the management of childhood venous thromboembolism: the adapted methodology: a limited resource country perspective
Bibliographic record
Abstract
BACKGROUND: Thrombosis is a major pediatric health problem with a spectrum of etiologies, clinical presentations, and morbidities. Establishing the diagnosis and treatment of pediatric thrombosis with different site-related presentations may be challenging. This article adapts the high-quality Clinical Practice Guidelines (CPGs) for pediatric thrombosis management to suit the Egyptian healthcare context. METHODS: The adapted ADAPTE methodology was used to identify the high-quality CPGs published between 2012 and 2023. An expert panel screened, reviewed, and assessed the CPGs and formulated the adapted consensus recommendations based on the best available evidence. RESULTS: The final CPG document provides consensus recommendations and implementation tools for managing thrombosis with different etiologies in children and adolescents in Egypt. There is no evidence to support strong recommendations for various management approaches. CONCLUSIONS: In general, a complete clinical and radiological assessment and some laboratory tests are indicated at the initial diagnosis to confirm a thrombotic disorder and to further choose the type of workup required. Future research should report the outcome of this adapted guideline and include cost-analysis evaluations.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.036 | 0.078 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.007 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".