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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 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 categoriesInsufficient payload (model declined to judge)
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 score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
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)0.0010.000

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 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

Citations99
Published2021
Admission routes1
Has abstractno

Explore more

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