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Record W2916129433 · doi:10.1701/2848.28757

La pancreatite cronica: nuova definizione e prospettive

2018· review· en· W2916129433 on OpenAlexaff
Maria Cristina Conti Bellocchi, Nicolò de Pretis, Antonio Amodio, Alessandro Zerbi, Luca Frulloni

Bibliographic record

VenueRecenti Progressi in Medicina · 2018
Typereview
Languageen
FieldMedicine
TopicPancreatitis Pathology and Treatment
Canadian institutionsPancreas Centre (Canada)
Fundersnot available
KeywordsPancreatitisPathogenesisMedicineEtiologyDiseaseAcute pancreatitisAutoimmune pancreatitisIntensive care medicineInternal medicineGastroenterology

Abstract

fetched live from OpenAlex

La pancreatite cronica (PC), per anni considerata una singola malattia associata nella quasi totalità dei casi a elevato consumo alcolico, e distinta dalla pancreatite acuta in termini di eziologia e di prognosi, viene attualmente considerata come uno stadio terminale di un processo infiammatorio cronico determinato da molteplici fattori tossico-metabolici, genetici, immunitari e ostruttivi non in grado di agire singolarmente, ma che concorrono nel loro insieme alla patogenesi di questa complessa malattia. Inoltre, la scoperta e l’inquadramento nosografico di forme peculiari di PC (autoimmune, paraduodenale, associata a mutazioni geniche) che si differenziano tra di loro e dalla forma “classica” di malattia per quadro clinico, per caratterizzazione alle diverse metodiche di imaging, per prognosi e per approccio terapeutico, hanno ulteriormente cambiato radicalmente il concetto di malattia. In questa rassegna, vengono descritti brevemente i progressi nella comprensione della patogenesi della malattia, la definizione delle differenti forme peculiari di pancreatite cronica e le implicazioni cliniche e terapeutiche che questi nuovi concetti di malattia hanno determinato nella pratica clinica.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

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)0.003
metaresearch head score (Gemma)0.005
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 score0.008
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0070.007
Science and technology studies0.0010.003
Scholarly communication0.0080.005
Open science0.0010.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0030.002

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 head0.053
GPT teacher head0.398
Teacher spread0.345 · 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".

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Citations1
Published2018
Admission routes1
Has abstractyes

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