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Record W3155195921 · doi:10.1016/s2352-3026(21)00060-0

Outcomes in patients treated with chimeric antigen receptor T-cell therapy who were admitted to intensive care (CARTTAS): an international, multicentre, observational cohort study

2021· article· en· W3155195921 on OpenAlexaff
Élie Azoulay, Pedro Castro, Adel Maamar, Victoria Metaxa, Alice Gallo de Moraes, Louis Voigt, Florent Wallet, Kada Klouche, Muriel Picard, Anne‐Sophie Moreau, Andry Van de Louw, Amélie Seguin, Djamel Mokart, Sanjay Chawla, Julien Leroy, Boris Böll, Nahéma Issa, Bruno Lévy, Pleun Hemelaar, Sara Fernández, Laveena Munshi, Philippe R. Bauer, Peter Schellongowski, Michael Joannidis, Gabriel Moreno‐González, Gennadii M. Galstian, Michaël Darmon, Sandrine Valade, Lara Zafrani, Éric Mariotte, Virginie Lemiale, Bertrand Arnulf, Nicolas Boissel, Catherine Thiéblemont, Florence Rabian, Stéphanie Harel, Roberta Di Blasi, Julio Delgado, Valentín Ortiz‐Maldonado, Didier Blaise, Sabine Fürst, Faézeh Legrand, Christian Chabannon, Édouard Forcade, François‐Xavier Gros, Cécile Borel, Anne Huynh, Christian Récher, Jakob Rudzki, Kevin Rakszawski, Pierre Sesques, Emmanuel Bachy, Gilles Salles, Miguel‐Angel Perales, Philipp Wohlfarth, Thomas Staudingert, Ulrich Jäger, Guillaume Cartron, Nathalie Fégueux, Patrice Céballos, Laura Platon, Thomas Gastinne, Benoît Tessoulin, Amandine Le Bourgeois, Olga A. Gavrilina, Anna Sureda, Alberto Mussetti, Jorge Garcia Borrega, Peter Borchmann, Yi Lin, Reuben Benjamin, Sophie de Guibert, Quentin Quelven, Ibrahim Yakoub‐Agha, David Beauvais, Marie‐Thérèse Rubio

Bibliographic record

VenueThe Lancet Haematology · 2021
Typearticle
Languageen
FieldMedicine
TopicCAR-T cell therapy research
Canadian institutionsSinai Health SystemCanada Research ChairsUniversity of Toronto
Fundersnot available
KeywordsMedicineHazard ratioIntensive careIntensive care unitCytokine release syndromeCohort studyCohortObservational studyProportional hazards modelInternal medicineRetrospective cohort studyEmergency medicineChimeric antigen receptorPediatricsIntensive care medicineConfidence intervalImmunotherapy

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.060
GPT teacher head0.355
Teacher spread0.295 · 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 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

Citations99
Published2021
Admission routes1
Has abstractno

Explore more

Same venueThe Lancet HaematologySame topicCAR-T cell therapy researchFrench-language works237,207