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Quantitation of Bleeding Symptoms in Children with von Willebrand Disease (VWD) or a Platelet Function Disorder: Use of a Standardized Pediatric Bleeding Score.

2007· article· en· W3007799710 on OpenAlexaffabout
Tina Biss, Victor S. Blanchette, Mackenzie Bowman, Dewi Clark, Marinalda Boneli da Silva, David Lillicrap, Paula D. James, Margaret L. Rand

Bibliographic record

VenueBlood · 2007
Typearticle
Languageen
FieldMedicine
TopicPlatelet Disorders and Treatments
Canadian institutionsQueen's UniversityHospital for Sick Children
Fundersnot available
KeywordsMedicineThrombastheniaBleeding diathesisVon Willebrand diseasePlatelet disorderPediatricsBleeding timePlateletSurgeryVon Willebrand factorInternal medicinePlatelet aggregation

Abstract

fetched live from OpenAlex

Abstract Obtaining an accurate bleeding history is an essential step in the diagnosis of a bleeding disorder, which is often made during childhood. A bleeding history is usually taken in an informal manner, with the interpretation of the responses dependent on the experience of the observer. The development of standardized bleeding questionnaires has improved objectivity and allowed the determination of quantitative scores according to the severity of mucocutaneous bleeding. In adults, using the International Society on Thrombosis and Haemostasis (ISTH) Bleeding Questionnaire for Diagnosis of Type 1 VWD, a bleeding score of >3 in males and >5 in females is considered abnormal (Rodeghiero et al., J Thromb Haemost2005:3;2619). Children have often not been exposed to hemostatic challenges and may have low scores despite significant bleeding disorders. Symptoms specific to childhood, such as post-circumcision bleeding, umbilical stump bleeding and cephalohematoma may be of greater significance in this patient group. Thus, we adapted the ISTH Bleeding Questionnaire for use in pediatrics, with a symptom-specific grade of -1 to 4 (Tosetto et al., J Thromb Haemost2006:4;766). Bleeding scores were determined by interview of parents/children for 80 children with a previous diagnosis of VWD or a platelet function disorder at The Hospital for Sick Children, Toronto, or Kingston General Hospital, Kingston. 62 children had a diagnosis of VWD and 18, a disorder of platelet function (Glanzmann thrombasthenia: 3; dense granule defect: 2; MYH9-related thrombocytopenia: 2; Hermansky-Pudlak syndrome: 1; unspecified: 10). 45 children were female and 35, male (median age: 10 yrs (range: 9 mo-17 yrs)), with a median age of females of 12 yrs (range: 0–17) and of males, 9 yrs (range: 1–17). Bleeding scores ranged from 0–28 (median: 7), with a median score in females of 7 and in males, 8. Bleeding scores according to diagnosis and age are shown in Tables 1 and 2, respectively. The most frequent reasons for a positive score of ≥2 were epistaxis (43% of patients), bleeding from minor wounds (38%), bleeding after dental extraction (31%) and excessive bruising (26%). Menorrhagia requiring treatment occurred in 47% of menstruating females. Bleeding from the umbilical stump, post-circumcision bleeding and cephalohematoma were reported in 10%, 6% and 4% of patients, respectively. In summary, we have used a standardized bleeding questionnaire, adapted for use in pediatrics, with an accompanying score to quantify bleeding symptoms in children with confirmed VWD or a platelet function disorder. Bleeding scores were lowest in the youngest age group (0–3 yrs), and were slightly higher in males than in females. Bleeding occurred early in childhood, i.e. post-circumcision bleeding and bleeding from the umbilical stump. This standardized pediatric bleeding questionnaire/score may be useful in clinical practice in the assessment of children presenting with symptomatic bruising and bleeding. Diagnosis Type 1 VWD Type 2 VWD Type 3 VWD Platelet function disorder Number of patients 48 8 6 18 Median bleeding score (range) 6 (0–18) 10 (0–17) 14 (9–28) 9 (1–19) Age (years) 0–3 4–6 7–9 10–12 13–15 16–18 Number of patients 7 13 18 16 14 12 Median bleeding score (range) 2 (0–9) 10 (0–16) 6 (0–19) 9.5 (1–28) 6 (2–18) 12 (6–21)

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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)0.002
metaresearch head score (Gemma)0.004
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 score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.001
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 head0.013
GPT teacher head0.244
Teacher spread0.231 · 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".

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Citations4
Published2007
Admission routes2
Has abstractyes

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