MétaCan
Menu
Back to cohort
Record W3175639850 · doi:10.1016/j.jhep.2021.06.019

Identification of optimal therapeutic window for steroid use in severe alcohol-associated hepatitis: A worldwide study

2021· article· en· W3175639850 on OpenAlexaff
Juan Pablo Arab, Luis Antonio Díaz, Natalia Baeza, Francisco Idalsoaga, Eduardo Fuentes–López, Jorge Arnold, Carolina Ramírez, Dalia Morales‐Arráez, Meritxell Ventura‐Cots, Edilmar Alvarado‐Tápias, Wei Zhang, Virginia Clark, Douglas A. Simonetto, Joseph Ahn, Seth Buryska, Tej I. Mehta, Horia Ştefănescu, Adelina Horhat, Andreea Bumbu, Bashar Attar, Rohit Agrawal, Zohaib Syed Haque, Muhammad Majeed, Joaquín Cabezas, Inés García-Carrera, Richard Parker, Berta Cuyàs, María Poca, Germán Soriano, Shiv Kumar Sarin, Rakhi Maiwall, Prasun K. Jalal, Saba Abdulsada, Anand V. Kulkarni, Padaki Nagaraja Rao, Patricia Guerra Salazar, Ľubomír Skladaný, Natália Bystrianska, Verónica Prado, Ana Clemente, Diego Rincón, Tehseen Haider, Kristina R. Chacko, Fernando Cairo, Marcela de Sousa Coelho, Gustavo Romero, Florencia Pollarsky, Juan Carlos Restrepo, Susana Castro-Sánchez, Luis Toro, Pamela Yaquich, Manuel Mendizábal, María Laura Garrido, Adrián Narvaez, Fernando Bessone, Julio Santiago Marcelo, Diego Piombino, Melisa Dirchwolf, Juan Pablo Arancibia, José Altamirano, Won Kim, Roberta Chaves Araújo, Andrés Duarte‐Rojo, Vı́ctor Vargas, Pierre‐Emmanuel Rautou, T. Issoufaly, Felipe Zamarripa, Aldo Torre, Michael R. Lucey, Philippe Mathurin, Alexandre Louvet, Guadalupe García–Tsao, Jose A. Gonzalez, Elizabeth C. Verna, Robert S. Brown, Juan Pablo Roblero, Juan G. Abraldeṣ, Marco Arrese, Vijay H. Shah, Patrick S. Kamath, Ashwani K. Singal, Ramón Bataller

Bibliographic record

VenueJournal of Hepatology · 2021
Typearticle
Languageen
FieldMedicine
TopicAlcohol Consumption and Health Effects
Canadian institutionsUniversity of Alberta
FundersFondo Nacional de Desarrollo Científico y TecnológicoNational Institute of Diabetes and Digestive and Kidney DiseasesComisión Nacional de Investigación Científica y TecnológicaNational Institute on Alcohol Abuse and AlcoholismCentro de Envejecimiento y Regeneración, Pontificia Universidad Católica de ChileNational Cancer InstituteNational Institutes of HealthUnitatea Executiva pentru Finantarea Invatamantului Superior, a Cercetarii, Dezvoltarii si InovariiAsociación Española para el Estudio del Hígado
KeywordsTherapeutic windowWindow of opportunityIdentification (biology)MedicineSteroidWindow (computing)HepatitisAlcoholAlcoholic hepatitisHepatitis a virusInternal medicineVirologyPharmacologyBiologyComputer scienceHormoneVirusWorld Wide WebCirrhosisAlcoholic liver diseaseBiochemistry

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 score0.002
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.097
GPT teacher head0.388
Teacher spread0.291 · 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

Citations141
Published2021
Admission routes1
Has abstractno

Explore more

Same venueJournal of HepatologySame topicAlcohol Consumption and Health EffectsFrench-language works237,207