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Record W1753774848 · doi:10.1186/ar1413

Inhibition of complement activation: a novel mechanism for the protective effects of heparin in antiphospholipid antibody-induced pregnancy loss

2004· article· en· W1753774848 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueArthritis Research · 2004
Typearticle
Languageen
FieldMedicine
TopicSystemic Lupus Erythematosus Research
Canadian institutionsnot available
FundersCanadian Arthritis NetworkNational Cancer InstituteGenentechNational Institutes of HealthNatural Sciences and Engineering Research Council of CanadaDutch Arthritis AssociationOesterreichische NationalbankDeutsche ForschungsgemeinschaftNuffield FoundationArthritis SocietyPhysiotherapy Foundation of CanadaCanadian Institutes of Health ResearchLupus Research AllianceWellcome TrustNational Institute of Arthritis and Musculoskeletal and Skin DiseasesNational Institute of Allergy and Infectious DiseasesHoward Hughes Medical InstituteLupus Research InstituteBiogenAustrian Science FundArthritis Foundation
KeywordsAntiphospholipid syndromeHeparinComplement systemMedicineLow molecular weight heparinAntibodyFetusImmunologyInternal medicinePregnancyAndrologyBiology

Abstract

fetched live from OpenAlex

IntroductionThe Bone and Joint Monitor Project was developed to quantify the global burden of musculoskeletal conditions and develop strategies for their prevention.Experts within the Monitor Project have worked previously with officers at the World Health Organization (WHO) to estimate morbidity and mortality associated with rheumatic conditions.The present collaboration seeks means of providing additional and more current burden data.Objective To develop recommendations for performing epidemiological studies in sample populations with musculoskeletal conditions and problems, accounting for determinants and consequences to the individual and society.Methods Recommendations have been developed identifying the most relevant domains for measuring and monitoring the various musculoskeletal conditions by review of epidemiological data on occurrence, determinants and outcomes, and by expert opinion.Instruments that measure these domains were reviewed. ResultsThe domains recommended follow the principles of the WHO International Classification of Functioning, Disability and Health [1,2], and consider: health condition; body function and structure; activity limitation; participation restriction; personal and environmental contextual factors; and, in addition, the resource utilisation and social consequences.The musculoskeletal conditions and problems considered were osteoarthitis, inflammatory arthritis, osteoporosis, spinal problems, musculoskeletal trauma and injuries, and musculoskeletal pain with restricted activity.The selection of indicators for each domain considered the feasibility of their use in a health interview survey (HIS), a health examination survey (HES), a register or a clinical study.Consensus on case definition was reached depending on the study methodology.For example, osteoporosis defined by bone densitometry cannot be ascertained in an HIS, whereas the outcome of osteoporosis (i.e.fragility fracture) can be.Osteoarthitis can be identified as joint pain in an HIS but the preferred definition is pain with X-ray changes and can only be ascertained in an HES.Previously validated generic and disease-specific instruments have been identified that include indicators for all or most of the recommended domains for the consequences of the different conditions and problems.The indicators of the domains for resource utilisation and social consequences and feasibility for col-lection will vary in different socioeconomic and geographic areas.Guidance on sampling methods is also being developed.Conclusions The comparability of data collected across the globe will improve by the application of agreed upon indicators that consider key domains for the different musculoskeletal conditions and problems in epidemiological studies conducted in different populations.

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.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.028
Threshold uncertainty score0.458

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.066
GPT teacher head0.385
Teacher spread0.318 · 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