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Record W4402437967 · doi:10.1016/j.metabol.2024.156028

The role of dietary modification in the prevention and management of metabolic dysfunction-associated fatty liver disease: An international multidisciplinary expert consensus

2024· article· en· W4402437967 on OpenAlexafffund
Xufen Zeng, Krista A Varady, Xiangdong Wang, Giovanni Targher, Christopher D. Byrne, Reema Tayyem, Giovanni Latella, Ina Bergheim, Rodrigo Valenzuela, Jacob George, Carolyn Newberry, Ju‐Sheng Zheng, Elena S. George, C Wendy Spearman, Meropi Kontogianni, Danijela Ristić-Medić, Wilza Arantes Ferreira Peres, Gamze Yurtdaş Depboylu, Wanshui Yang, Xu Chen, Fredrik Rosqvist, Christos S. Mantzoros, Luca Valenti, Hannele Yki‐Järvinen, Antonella Mosca, Silvia Sookoian, Anoop Misra, Yusuf Yılmaz, Won Kim, Yasser Fouad, Giada Sebastiani, Vincent Wai‐Sun Wong, Fredrik Åberg, Yu Jun Wong, Pian-hong Zhang, Francisco J. Bermúdez‐Silva, Yan Ni, Monica Lupșor‐Platon, Wah‐Kheong Chan, Nahúm Méndez‐Sánchez, Robert J. de Knegt, Shahinul Alam, Sombat Treeprasertsuk, Mulong Du, Tiejun Zhang, Ming‐Lung Yu, Huijie Zhang, Xingshun Qi, Xin Liu, Kanokwan Pinyopornpanish, Yu‐Chen Fan, Kaijun Niu, Josep C. Jiménez‐Chillarón, Ming‐Hua Zheng

Bibliographic record

VenueMetabolism · 2024
Typearticle
Languageen
FieldMedicine
TopicLiver Disease Diagnosis and Treatment
Canadian institutionsMcGill University Health Centre
FundersNational Cancer InstituteNational Key Research and Development Program of ChinaMedical Research CouncilJunta de AndalucíaFonds de Recherche du Québec - SantéConsejería de Salud y Familias, Junta de AndalucíaNational Cancer Research InstituteWenzhou Municipal Science and Technology BureauYangzhou City Agricultural Key R and D ProgramNational Health and Medical Research CouncilNovo Nordisk FondenNational Natural Science Foundation of ChinaInstituto de Salud Carlos IIIUniversity of SydneyNational Institute for Health Research Southampton Biomedical Research CentreEuropean CommissionNational Institute for Health and Care Research
KeywordsMedicineFatty liverDietary managementSaturated fatEnvironmental healthMedical nutrition therapyMediterranean dietDiseasePsychological interventionLiver diseaseRed meatIntensive care medicineInternal medicinePathologyNursing

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)0.035
metaresearch head score (Gemma)0.034
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.035
Threshold uncertainty score0.184

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0350.034
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0050.005
Bibliometrics0.0030.002
Science and technology studies0.0010.002
Scholarly communication0.0050.003
Open science0.0060.003
Research integrity0.0060.011
Insufficient payload (model declined to judge)0.0020.001

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 head0.028
GPT teacher head0.314
Teacher spread0.287 · 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 designNot applicable
Domainnot available
GenreReview

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
Published2024
Admission routes2
Has abstractno

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