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Record W2884513533 · doi:10.1097/mop.0000000000000668

Genetic predisposition in pancreatitis

2018· review· en· W2884513533 on OpenAlexaff
Tanja Gonska

Bibliographic record

VenueCurrent Opinion in Pediatrics · 2018
Typereview
Languageen
FieldMedicine
TopicPancreatitis Pathology and Treatment
Canadian institutionsSickKids FoundationHospital for Sick ChildrenUniversity of Toronto
Fundersnot available
KeywordsPancreatitisMedicineDiseaseGenetic predispositionIntensive care medicineAcute pancreatitisGenetic testingHereditary pancreatitisBioinformaticsInternal medicineBiology

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: Genetic mutations are the primary cause for acute recurrent (ARP) and chronic pancreatitis in children. Further, our medical approach for many diseases is changing from a one-drug therapy to more individualized therapeutic strategies. In respect to the therapeutic management of ARP/chronic pancreatitis, this entails an understanding of the individual, mainly genetic, risk factors that led to pancreatitis disease. RECENT FINDINGS: New pancreatitis-associated genes are continuously emerging from increasingly large genetic cohort studies. Furthermore, newer research findings demonstrate that multiple genetic and nongenetic factors are required to increase the individual risk for developing ARP/chronic pancreatitis. Last, there is new exciting development towards targeted pancreatitis therapy in the future. SUMMARY: This review introduces the current concept of ARP/chronic pancreatitis as a complex disease caused by multiple genetic and nongenetic factors. This warrants careful evaluation of these patients and ideally consultation of a pancreas expert to help understand individual genetic risk profiles and to provide more effective patient consultation.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.930
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.074
GPT teacher head0.391
Teacher spread0.317 · 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 teacher head, not a consensus.

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

Citations8
Published2018
Admission routes1
Has abstractyes

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