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Record W3016028986 · doi:10.1055/s-0040-1708035

Thrombo-Inflammation in Cardiovascular Disease: An Expert Consensus Document from the Third Maastricht Consensus Conference on Thrombosis

2020· article· en· W3016028986 on OpenAlexaff
Elisa D’Alessandro, Christian Becker, Wolfgang Bergmeier, Christoph Bode, Joshua H. Bourne, Helena Brown, Harry R. Büller, Arina J. ten Cate‐Hoek, Vincent ten Cate, Yvonne J M van Cauteren, Hilaire Yam Fung Cheung, Audrey Cleuren, Daniëlle M. Coenen, Harry J.G.M. Crijns, Ilaria De Simone, Sophie Dólleman, Christine Espinola Klein, Delia I. Fernández, Lianne Granneman, Arnoud W.J. van ’t Hof, Peter K. Henke, Yvonne Henskens, Jingnan Huang, Lisa K. Jennings, Natalie J. Jooss, Mieke F.A. Karel, Danique van den Kerkhof, Frederikus A. Klok, Bram Kremers, Bernhard Lämmle, Avi Leader, Annika Lundström, Nigel Mackman, Pier Mannuccio Mannucci, Zahra Maqsood, Paola E. J. van der Meijden, Marc van Moorsel, Luis A. Morán, John Morser, Manouk van Mourik, Stefano Navarro, Raluca A. I. Neagoe, Renske H. Olie, Pauline van Paridon, Jens Posma, Isabella Provenzale, Pieter H. Reitsma, Billy Scaf, Leon J. Schurgers, Jaap Seelig, Agneta Siegbahn, Bob Siegerink, Oliver Soehnlein, Eva Soriano, Marcin A. Sowa, Henri M.H. Spronk, Robert F. Storey, Chukiat Tantiwong, Alicia Veninga, Xueqing Wang, Steve P. Watson, Jeff Weitz, Sacha Zeerleder, Hugo Ten Cate

Bibliographic record

VenueThrombosis and Haemostasis · 2020
Typearticle
Languageen
FieldMedicine
TopicBlood Coagulation and Thrombosis Mechanisms
Canadian institutionsMcMaster UniversityThrombosis and Atherosclerosis Research Institute
FundersEuropean Commission
KeywordsMedicineInflammationThrombosisDiseaseVascular diseaseVenous thrombosisMyocardial infarctionStroke (engine)PathogenesisPlateletImmunologyIntensive care medicineCardiologyBioinformaticsInternal medicine

Abstract

fetched live from OpenAlex

Thrombo-inflammation describes the complex interplay between blood coagulation and inflammation that plays a critical role in cardiovascular diseases. The third Maastricht Consensus Conference on Thrombosis assembled basic, translational, and clinical scientists to discuss the origin and potential consequences of thrombo-inflammation in the etiology, diagnostics, and management of patients with cardiovascular disease, including myocardial infarction, stroke, and peripheral artery disease. This article presents a state-of-the-art reflection of expert opinions and consensus recommendations regarding the following topics: (1) challenges of the endothelial cell barrier; (2) circulating cells and thrombo-inflammation, focused on platelets, neutrophils, and neutrophil extracellular traps; (3) procoagulant mechanisms; (4) arterial vascular changes in atherogenesis; attenuating atherosclerosis and ischemia/reperfusion injury; (5) management of patients with arterial vascular disease; and (6) pathogenesis of venous thrombosis and late consequences of venous thromboembolism.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.757
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
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 head0.118
GPT teacher head0.322
Teacher spread0.204 · 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.

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".

Quick stats

Citations90
Published2020
Admission routes1
Has abstractyes

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