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Record W1969393140 · doi:10.1016/j.ajhg.2015.01.019

Meta-analysis of 65,734 Individuals Identifies TSPAN15 and SLC44A2 as Two Susceptibility Loci for Venous Thromboembolism

2015· review· en· W1969393140 on OpenAlexafffund
Marine Germain, Daniel I. Chasman, Hugoline G. de Haan, Weihong Tang, Sara Lindström, Lu‐Chen Weng, Mariza de Andrade, Marieke C. Visser, Kerri L. Wiggins, Pierre Suchon, Noémie Saut, David M. Smadja, Grégoire Le Gal, Astrid van Hylckama Vlieg, Antonio Di Narzo, Ke Hao, Christopher P. Nelson, Ares Rocañín-Arjó, Lasse Folkersen, Ramin Monajemi, Lynda M. Rose, Jennifer A. Brody, P. Eline Slagboom, Dylan Aïssi, France Gagnon, Jean‐François Deleuze, Panos Deloukas, Christophe Tzourio, Jean‐François Dartigues, Claudine Berr, Kent D. Taylor, Mete Civelek, Per Eriksson, Bruce M. Psaty, Jeanine Houwing-Duitermaat, Alison H. Goodall, François Cambien, Peter Kraft, Philippe Amouyel, Nilesh J. Samani, Saonli Basu, Paul M. Ridker, Frits R. Rosendaal, Christopher Kabrhel, Aaron R. Folsom, John A. Heit, Pieter H. Reitsma, David‐Alexandre Trégouët, Nicholas L. Smith, Pierre‐Emmanuel Morange

Bibliographic record

VenueThe American Journal of Human Genetics · 2015
Typereview
Languageen
FieldMedicine
TopicVenous Thromboembolism Diagnosis and Management
Canadian institutionsPublic Health OntarioUniversity of TorontoOttawa HospitalUniversity of Ottawa
FundersNational Institute of Diabetes and Digestive and Kidney DiseasesMinistère des Affaires Sociales et de la SantéFondation LeducqEuropean CommissionNational Center for Advancing Translational SciencesNational Human Genome Research InstituteNederlandse Organisatie voor Wetenschappelijk OnderzoekDonald W. Reynolds FoundationCancer Couch FoundationNational Cancer InstituteBritish Heart FoundationCanadian Institutes of Health ResearchHartstichtingNational Heart, Lung, and Blood InstituteHeart and Stroke Foundation of CanadaNational Institute for Health and Care Research
KeywordsVenous thromboembolismMedicineVenous thrombosisInternal medicineThrombosis

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.009
Bibliometrics0.0020.003
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 head0.182
GPT teacher head0.438
Teacher spread0.256 · 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 designMeta-analysis
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

Citations272
Published2015
Admission routes2
Has abstractno

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Same venueThe American Journal of Human GeneticsSame topicVenous Thromboembolism Diagnosis and ManagementFrench-language works237,207