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Record W4408177230 · doi:10.1016/s2468-1253(25)00006-8

Global epidemiology of acute kidney injury in hospitalised patients with decompensated cirrhosis: the International Club of Ascites GLOBAL AKI prospective, multicentre, cohort study

2025· article· en· W4408177230 on OpenAlexaff
Kavish R. Patidar, Ann T., Adrià Juanola, Anna Barone, Simone Incicco, Anand V. Kulkarni, José Luis Pérez Hernández, Brian J. Wentworth, Sumeet K. Asrani, Carlo Alessandria, Nadia Abdelaaty Abdelkader, Yu Jun Wong, Qing Xie, Nikolaos Pyrsopoulos, Sung Eun Kim, Yasser Fouad, Aldo Torre, Eira Cerda, Javier Díaz Ferrer, Rakhi Maiwall, Douglas A. Simonetto, Mária Papp, Eric S. Orman, Giovanni Perricone, Cristina Solé, Christian M. Lange, Alberto Queiróz Farias, Gustavo Pereira, Adrian Gadano, Paolo Caraceni, Thierry Thévenot, Nipun Verma, Jeong Han Kim, Julio Vorobioff, Jacqueline Córdova‐Gallardo, В. Т. Ивашкин, Juan Pablo Roblero, Raoel Maan, Claudio Toledo, Stefania Gioia, E Fassio, Mónica Marino, Puria Nabilou, Vı́ctor Vargas, Manuela Merli, Luciana Lofêgo Gonçalves, Liane Rabinowich, Aleksander Krag, Lorenz Balcar, Pedro Montes, Ângelo Zambam de Mattos, Tony Bruns, Abdulsemed Mohammed, Wim Laleman, Enrique V. Carrera, María Cecilia Cabrera Cabrejos, Marcos Girala, Hrishikesh Samant, Sarah Raevens, João Madaleno, Juan Pablo Arab, José Presa, Carlos Noronha Ferreira, Antonio Galante, Andrew S. Allegretti, R. Bart Takkenberg, Sebastián Marciano, Shiv Kumar Sarin, François Durand, Pere Ginès, Paolo Angeli, Elsa Solà, Salvatore Piano

Bibliographic record

Venue˜The œLancet. Gastroenterology & hepatology · 2025
Typearticle
Languageen
FieldMedicine
TopicLiver Disease and Transplantation
Canadian institutionsUniversity Health Network
FundersGentofte HospitalRWTH Aachen UniversityEuropean Association for the Study of the LiverAddis Ababa UniversityCentro de Investigación Biomédica en Red de Enfermedades Hepáticas y DigestivasMedizinische Universität WienInstituto de Salud Carlos IIISocietà Italiana di Medicina InternaSapienza Università di RomaUniversität WienEuropean Regional Development FundTel Aviv UniversitySyddansk UniversitetKlinisk Institut, Syddansk UniversitetOdense Universitetshospital
KeywordsMedicineAcute kidney injuryEpidemiologyCirrhosisAscitesProspective cohort studyInternal medicineIntensive care medicineCohortCohort study

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)0.002
metaresearch head score (Gemma)0.003
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 score0.013
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.003
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.002
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 head0.008
GPT teacher head0.287
Teacher spread0.280 · 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

Citations14
Published2025
Admission routes1
Has abstractno

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Same venue˜The œLancet. Gastroenterology & hepatologySame topicLiver Disease and TransplantationFrench-language works237,207