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Prevalence of Suspected Collagen Disorders In the Adult Bleeding Disorder Clinic.

2010· article· en· W2481626842 on OpenAlexaff
Shannon Jackson, Leah Odiaman, Morna Brown, Carol Spitzer, Robert Card, Man‐Chiu Poon

Bibliographic record

VenueBlood · 2010
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicConnective tissue disorders research
Canadian institutionsUniversity of CalgarySt. Paul's HospitalUniversity of British Columbia
Fundersnot available
KeywordsMedicineVon Willebrand diseaseHemostasisJoint hypermobilityInternal medicineVon Willebrand factorCohortBleeding diathesisPlateletHaemophiliaGastroenterologySurgeryPhysical therapy

Abstract

fetched live from OpenAlex

Abstract Abstract 1399 Background: Disorders of collagen may be associated with a mild bleeding tendency because of the interaction of collagen with von Willebrand factor (VWF) and platelets required during primary hemostasis and generalized soft tissue fragility. Therefore, collagen disorders may be unrecognized contributors to existing disorders of primary hemostasis. Synergism between these entities could produce a more significant bleeding tendency than predicted based on laboratory abnormalities alone. Symptomatic joint hypermobility (SJH) is found in over 90% of collagen disorders and can be objectively measured as a surrogate marker of a potential collagen disorder. Objective: To determine the prevalence of suspected collagen disorders in a cohort of adult subjects with mucocutaneous inherited bleeding disorders in comparison to healthy controls using SJH as a marker for a potential collagen disorder. Methods: Fifty-five consecutive subjects, ≥ 16 years of age, attending the Adult Bleeding Disorders (BD) Clinic with a history of von Willebrand disease, platelet function disorder or undefined bleeding disorder and 60 controls (age and sex-matched) were enrolled between June 2008 and February 2010. All subjects were assessed for: i) Generalized joint hypermobility, defined using the Beighton score whereby a score of ≥ 4 out of 9 is considered positive; ii) SJH, defined using the major Brighton criteria which is a Beighton score of ≥ 4 AND arthralgia for longer than 3 months in 4 or more joints; and, iii) Bleeding score (BS), using the Condensed MCMDM1-VWD, with a positive score defined as ≥ 4 for both sexes. CBC, blood group, VWF:Ag, VWF:RCo, FVIII:C and closure times were collected prospectively in the control group and retrospectively in the clinic subjects in addition to bleeding time and platelet aggregation studies. Results: The prevalence of SJH with a positive bleeding score was 24% in the BD clinic and 1.6% in controls (see table). Seventy-seven percent of SJH subjects (10/13) in the BD clinic had a prior personal or family history of Ehlers-Danlos Syndrome, other Joint Hypermobility Syndrome or Osteogenesis Imperfecta (OI). Only the OI subject had prior clinical documentation of a collagen disorder. There was no statistical difference in laboratory measures of hemostasis or bleeding score in the BD clinic subjects with or without SJH. Of interest, mean bleeding time in the BD clinic subjects (available in 38 subjects) was 10.5 minutes in the SJH group and 10 minutes in the non-SJH group suggesting that bleeding time is not a good screening test for the presence of abnormal collagen. Isolated joint hypermobility (Beighton score of ≥ 4) not associated with arthralgia was common in both groups (40% and 30% respectively) in this predominately female population of subjects with inherited mucocutaneous bleeding. Conclusions: SJH suggesting a collagen disorder is common and often unrecognized in the BD clinic as a potential contributor to the bleeding symptoms. Asymptomatic joint hypermobility is common in this predominately female population and not an adequate screening tool for a potential collagen disorder. A prolonged bleeding time did not predict the presence of SJH in this cohort. Further study is required to confirm the nature of collagen disorders in the BD clinic population and the relationship to bleeding manifestations. Disclosures: No relevant conflicts of interest to declare.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.295
Threshold uncertainty score0.350

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.009
GPT teacher head0.291
Teacher spread0.282 · 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".

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Citations1
Published2010
Admission routes1
Has abstractyes

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