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Record W3082872684 · doi:10.1111/jth.15094

Anticoagulant interventions in hospitalized patients with COVID‐19: A scoping review of randomized controlled trials and call for international collaboration

2020· review· en· W3082872684 on OpenAlexafffund
Tobias Tritschler, Marie‐Eve Mathieu, Leslie Skeith, Marc Rodger, Saskia Middeldorp, Timothy Brighton, Per Morten Sandset, Susan R. Kahn, Derek Angus, Marc Blondon, Marc J. M. Bonten, Marco Cattaneo, Mary Cushman, Lennie Derde, Maria T. DeSancho, Jean‐Luc Diehl, Ewan C. Goligher, Bernd Jilma, Peter Jüni, Patrick R. Lawler, Marco Marietta, John C. Marshall, Colin McArthur, Carlos Henrique Miranda, Tristan Mirault, Nuccia Morici, Usha Perepu, Christian Schörgenhofer, Michelle Sholzberg, Alex C. Spyropoulos, Steve Webb, Ryan Zarychanski, Stéphane Zuily, Grégoire Le Gal

Bibliographic record

VenueJournal of Thrombosis and Haemostasis · 2020
Typereview
Languageen
FieldMedicine
TopicCOVID-19 Clinical Research Studies
Canadian institutionsUniversity of ManitobaOttawa HospitalUniversity Health NetworkCancerCare ManitobaJewish General HospitalSt. Michael's HospitalUniversity of TorontoResearch Institute in Oncology and HematologyMcGill UniversityUniversity of OttawaTed Rogers Centre for Heart ResearchUniversity of Calgary
FundersResearch Committee, Aristotle University of ThessalonikiCanadian Institutes of Health ResearchBundesministerium für Bildung, Wissenschaft und ForschungLifeArc
KeywordsMedicineClinical trialRandomized controlled trialPsychological interventionAnticoagulantIntensive care medicineEmergency medicineInternal medicine

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 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)0.011
metaresearch head score (Gemma)0.303
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (broad)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.291
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.303
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0180.002
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 head0.247
GPT teacher head0.556
Teacher spread0.309 · 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 designSystematic review
Domainnot available
GenreReview

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

Citations98
Published2020
Admission routes2
Has abstractno

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