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Record W4307728926 · doi:10.1016/s0140-6736(22)02128-6

Intermediate-dose versus low-dose low-molecular-weight heparin in pregnant and post-partum women with a history of venous thromboembolism (Highlow study): an open-label, multicentre, randomised, controlled trial

2022· article· en· W4307728926 on OpenAlexaff
Ingrid M. Bistervels, Andréa Buchmuller, Hanke M.G. Wiegers, Fionnuala Ní Áinle, Bernard Tardy, Jennifer Donnelly, Peter Verhamme, Anne Flem Jacobsen, Anette Tarp Hansen, Marc Rodger, Maria T. DeSancho, R.G. Shmakov, Nick van Es, Martin H. Prins, Céline Chauleur, Saskia Middeldorp, Eline S. van den Akker, Mireille N. Bekker, Thomas van Bemmel, Laurent Bertoletti, Julie Blanc, Suzanne M. Bleker, Aude Bourtembourg-Matras, Florence Bretelle, B. Byrne, Françis Couturaud, Pierre Delorme, Elise S. Eerenberg, Maureen TM Franssen, Jens Fuglsang, Wessel Ganzevoort, François Goffinet, Jiska M de Haan-Jebbink, Wieteke M. Heidema, Monique A Hertzberg, Marcel M.C. Hovens, Menno V. Huisman, Leonie de Jong-Speksnijder, Pieter W. Kamphuisen, Denis J O'Keeffe, Karine Lacut, Josje Langenveld, M Simone Lunshof, Caroline P. Martens, A. Merah, Emmanuelle Le Moigne, Dimitri N.M. Papatsonis, Gilles Pernod, F. Perrotin, Edith Peynaud-Debayle, Fabrice Pierre, Geneviève Bureau, Tiphaïne Raia-Barjat, Robbert JP Rijnders, Roger Rosario, M. Ruivard, Jeannot Schmidt, Marieke Sueters, Thomas Vanassche, Marie-Noëlle Varlet, Alexandre Vivanti, Matthieu Y. van der Vlist, Lucet F. van der Voet, Karlijn C. Vollebregt, Johanna I. de Vries, Sabina de Weerd, Peter E. Westerweel, Lia DE Wijnberger, Marije ten Wolde, Paula F. Ypma, Catherine Zuily-Lamy, Joost J. Zwart, Alexandra Benachi, G. Beucher, H. Bézanahary, Karin Boer, Marjon A. de Boer, Frantz Bousquet, Henk A. Bremer, Luc Bressollette, Aurélie Brossard, Cécile Chau, Brian Cleary, Fabienne Comte, Thomas Corsini, Anne Coustel, Barbara Debaveye, Raoul Desbrière, Cécile Duvillard, A. Eckman, Jeroen Eikenboom, Antoine Élias, Laura M. Faber, Émile Ferrari, Denis Gallot, Emilie Gauchotte, Ingrid Gaugler, Abby E. Geerlings, Audrey O'Gorman, Vincent Grobost, Pieter-Kees de Groot, David P. van der Ham, Brenda Hermsen, Kim Kamphorst, Alan Karovitch, Gunilla Kleiverda, Aiste Kloster, Annemarieke Koops, Inneke Krabbendam, Marieke J.H.A. Kruip, Saskia Kuipers, Judith van Laar, Damien Lanéelle, Suzanne Lima, Peter MacMahon, Laurent Mandelbrot, Claudia A van Meir, C. Menez, Leonard P. Morssink, Nathalie Moulin, E. Mousty, Matthieu Muller, Lucy Eldersveld Murphy, Kathelijne Peerlinck, Alma O'Reilly, Maartje de Reus, Magali Hilmi Le Roux, Kevin M. Ryan, Bettina Samren, Daniela H. Schippers, Nico Schuitemaker, Chloé Schweizer, Hanneke van der Straaten, Cécile Tromeur, Kristine Vanheule, Tamara Verhagen, Jantien Visser, Michael R. Watts, Wim J. van Wijngaarden, Mallory Woiski, Maartje Zelis

Bibliographic record

VenueThe Lancet · 2022
Typearticle
Languageen
FieldMedicine
TopicBlood Coagulation and Thrombosis Mechanisms
Canadian institutionsOttawa Hospital
FundersPfizer
KeywordsMedicinePost partumLow molecular weight heparinVenous thromboembolismHeparinObstetricsRandomized controlled trialPregnancySurgeryThrombosis

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0070.001

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 head0.033
GPT teacher head0.288
Teacher spread0.255 · 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 designRandomized trial
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

Citations111
Published2022
Admission routes1
Has abstractno

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