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Record W4224065560 · doi:10.1002/ueg2.12229

“Car body appearance and engine”: The morphology‐function correlation in chronic pancreatitis

2022· letter· en· W4224065560 on OpenAlexaff
Marcus Hollenbach, Gabriele Capurso

Bibliographic record

VenueUnited European Gastroenterology Journal · 2022
Typeletter
Languageen
FieldMedicine
TopicPancreatitis Pathology and Treatment
Canadian institutionsPancreas Centre (Canada)
Fundersnot available
KeywordsMedicinePancreatitisEtiologyPancreatic ductPancreasEndocrine systemGastroenterologyStage (stratigraphy)Acute pancreatitisInternal medicinePathologyRadiologyHormone

Abstract

fetched live from OpenAlex

Chronic pancreatitis (CP) is a complex disease characterized by a continuous or recurrent inflammation of the pancreas1 that results in progressive and irreversible morphologic alterations causing pain and impairment of pancreatic function. Typical findings are focal necrosis, fibrosis, enlarged and irregular pancreatic duct, intraductal stones and calcifications.2, 3 As such alterations more often occur in late CP, different classifications divide the disease in early and advanced stages based on structural findings (Cambridge,4 Rosemont5) and also etiology, symptoms and functionality (Manchester,6 M-ANNHEIM7 and others). The advantage of the Cambridge classification is the comparability of stage classification independent of the used imaging modality as Cambridge 0–4 was defined for endoscopic ultrasound, computed tomography or magnetic resonance imaging as well. However, none of the classifications published so far was prospectively evaluated to predict prognosis, course and complications of patients with CP.8 In addition, several cohort studies failed to correlate in particular early morphological alterations and pancreatic insufficiency but found positive correlation in advanced stages of CP.9 In the current issue of UEG-Journal, Nordaas and colleagues10 analyzed the association between structural alterations of patients with CP and complications, mainly endocrine and exocrine insufficiency. This was a cross-sectional analysis including more than 700 patients from the multicentric Scandinavian-Baltic-Pancreatic-Club database with CP classified by the M-ANNHEIM-criteria. In- and exclusion criteria as well as outcomes were clearly defined. In general, the authors found that a continuous organ involvement meaning structural abnormalities in the entire pancreas was associated with both pancreatic exocrine and endocrine insufficiency. Moreover, severe calcifications, main pancreatic duct obstruction and pancreatic atrophy were linked to exocrine insufficiency. These findings are clearly comprehensible as exocrine insufficiency usually occurs if less than 10% of the pancreas remain functionally active and the entire pancreas reveals structural abnormalities.11 Notably, the authors also found a negative association between pancreatic pseudocysts and diabetes. Diabetes was not associated with pancreatic atrophy although the authors described such a link in their own prior publications.12 In another previous report from the same consortium, the “inflammatory cluster”, that include pseudocysts, was associated with alcoholic etiology.13 In the latest study, analysis was corrected for current alcohol consumption, but association with etiology is not evaluated in depth. These discrepancies may also depend on the limitations of a cross-sectional design in a database-related study where not all necessarily information are available for each patient. Moreover, there is a risk of a selection bias as distinct subgroups may be over- or underreported. Indeed, patients with more symptoms and an “inflammatory” pattern are more likely to undergo imaging studies. What could we learn from this large study of the Scandinavian-Baltic-Pancreatic-Club? Out of more than 700 patients with strictly classified CP, abnormalities involving the whole pancreas are associated with both exocrine and endocrine insufficiency. However, association is not causation and a long-term observational study of such a large CP-cohort will ever hard to become reality. This study also demonstrated that CP is still a complex disease with variable complaints and complications. Structural alterations are important to diagnose the disease but remain less helpful to identify patients who will develop complications or a severe course in a timely manner and are therefore candidates for intensive surveillance. Several questions are unanswered and need future investigation: What is the importance of the so-called painless chronic pancreatitis that usually occurs in elderly people14, 15 and often is underreported in such database studies? Moreover, different classifications of CP have to be evaluated in prospective studies to determine accuracy and predictive value for the development of exocrine and endocrine insufficiency. Finally, a “simple” association with a structural finding in cross-sectional imaging or endoscopic ultrasound may not be sufficient to help identifying patients at risk for complications. It is likely that in the near future, the use of artificial intelligence applications able to include serial monitoring of multiple radiomics, clinical, biochemical and environmental factors in an automated, unbiased tool, will fill the gaps between imaging and clinical course in CP. The authors have nothing to disclose.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.182
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.006
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 head0.009
GPT teacher head0.215
Teacher spread0.206 · 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 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".

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Citations1
Published2022
Admission routes1
Has abstractyes

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