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Record W4412391882 · doi:10.1016/j.pan.2025.04.020

International Association of Pancreatology Revised Guidelines on Acute Pancreatitis 2025: Supported and Endorsed by the American Pancreatic Association, European Pancreatic Club, Indian Pancreas Club, and Japan Pancreas Society

2025· article· en· W4412391882 on OpenAlexaff
Andrea Párniczky, Alexandra Mikó, Aliye Uç, Anand Narayan Singh, Anshuman Elhence, Ashok Saluja, Atsushi Masamune, Barham K. Abu Dayyeh, Brian R Davidson, C. Mel Wilcox, Chris E. Forsmark, David C. Whitcomb, Deepak Gunjan, Dhiraj Yadav, Djuna L. Cahen, D. Nageshwar Reddy, Douglas G. Adler, Douglas K. Pleskow, Enqiang Mao, Enrique de‐Madaria, Enver Zerem, Federico Bolado, Fred S. Gorelick, Georgios Papachristou, Gregory A. Coté, Guru Trikudanathan, Hana Alguel, Hjalmar Santvoort, James Buxbaum, Jens Werner, Ji Young Bang, John P. Neoptolemos, John A. Windsor, Julia Mayerle, Jun‐Ho Choi, Kasper A. Overbeek, Kazuhiro Kikuta, Katsuya Kitamura, Luca Frulloni, K.S. Madhusudan, Marc G. Besselink, Marco J. Bruno, Mark E. Lowe, Markus M. Lerch, Martin L. Freeman, Matthias Löhr, Morihisa Hirota, Mouen A. Khashab, Nicholas J. Zyromski, Nalini M. Guda, Namrata Singh, Niladri Baneerjee, Olaf J. Bakker, Panu Mentula, Peter A. Banks, Peush ‎Sahni, Péter Hegyi, Peter Szatmary, Pramod Kumar Garg, Rajesh Gupta, Raju Sharma, Rakesh Kochhar, Robert Sutton, Rodrigo Cartin‐Ceba, Rupjyoti Talukdar, Samagra Agarwal, Sohail Z. Husain, Santhi Swaroop Vege, Shuji Isaji, Shyam Varadarajulu, Shivanand Gamanagatti, Soumya Jagannath, Surinder Singh Rana, Stefan A.W. Bouwense, Steve Pandol, Subodh Kumar, Sudipta Dhar Chowdhury, Sundeep Lakhtakia, Suresh T. Chari, Takao Itoi, Thilo Hackert, Thomas L. Bollen, Thomas M. Gress, Timothy B. Gardner, Vijay Pratap Singh, Vikas Dudeja, Vikesh K. Singh, Vinciane Rebours, Walter G. Park, Wei Huang, Wenhua He, Yi‐No Kang, Yoshihisa Tsuji, Yoshifumi Takeyama

Bibliographic record

VenuePancreatology · 2025
Typearticle
Languageen
FieldMedicine
TopicPancreatitis Pathology and Treatment
Canadian institutionsPancreas Centre (Canada)
FundersU.S. Department of Veterans Affairs
KeywordsMedicineGuidelineGrading (engineering)Evidence-based medicineEvidence-based practicePancreatitisFamily medicineAlternative medicineInternal medicinePathology

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)0.013
metaresearch head score (Gemma)0.029
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: Not applicable
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.015
Threshold uncertainty score0.069

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.029
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0030.004
Bibliometrics0.0070.007
Science and technology studies0.0020.002
Scholarly communication0.0070.003
Open science0.0030.004
Research integrity0.0060.014
Insufficient payload (model declined to judge)0.0060.007

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 head0.010
GPT teacher head0.291
Teacher spread0.281 · 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
GenreMethods

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

Citations65
Published2025
Admission routes1
Has abstractno

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