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The five periampullary cancers: Not just different siblings but different families—An international multicenter cohort study.

2023· article· en· W4379335543 on OpenAlexaboutno aff
Bas A. Uijterwijk, Santiago Sánchez-Cabús, Vasileios Mavroeidis, Patrick Pessaux, Dimitris P. Korkolis, Adam C. Berger, Bergþór Björnsson, Miguel Ángel Cabrera Suárez, M. Vladimirov, Jörg Kleeff, Ugo Boggi, Zahir Soonawalla, Alberto Zaniboni, M. Serradilla, Michele Mazzola, Poya Ghorbani, Ulrich F. Wellner, Marc G. Besselink, Mohammad Abu Hilal

Bibliographic record

VenueJournal of Clinical Oncology · 2023
Typearticle
Languageen
FieldMedicine
TopicPancreatic and Hepatic Oncology Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineInternal medicinePeriampullary cancerAdenocarcinomaCohortPancreatic cancerGastroenterologyIncidence (geometry)PancreasPancreatic ductal adenocarcinomaCancerHistopathologyOncologyPathology

Abstract

fetched live from OpenAlex

4167 Background: Cancer arising in the periampullary region can be anatomically classified in pancreatic ductal adenocarcinoma (PDAC), distal cholangiocarcinoma (dCCA), duodenal adenocarcinoma (DAC) and ampullary adenocarcinoma (AAC). Based on histopathology, the AAC is currently subdivided in the intestinal (AmpIT) and pancreatobiliary (AmpPB) subtype. Despite close anatomical resemblance, it is unclear how the ampullary subtypes relate to the remaining periampullary cancers in tumor characteristics and behavior. Methods: This is an international multicenter cohort study, including patients after curative intent resection for periampullary cancer retrieved from 45 centers (from Europe, USA, Asia and Canada) between 2010 and 2021. Pre-operative CA19-9, differences in pathology and postoperative pancreatic fistula (POPF, grade B/C), 8-year overall survival (OS) and disease-free interval (DFI) were compared between DAC, AmpIT, AmpPB, dCCA and PDAC. Results: Overall, 3809 patients were included of which 348 DAC, 774 AmpIT, 848 AmpPB, 1036 dCCA and 803 PDAC. The best 8-years overall survival was found in patients with AmpIT and DAC (49.8% and 47.9%), followed by AmpPB (34.9%, p<0.001), dCCA (26.4%, p=0.020) and last, PDAC (12.9%, P<0.001). The best 8-years DFI was measured for AmpIT (62.7%) and the worst for both dCCA and PDAC (24.9% and 21.8%). This pattern correlated with the height of the pre-operative CA19-9 but not with the pathology, in which the largest and most progressed tumors were found in DAC. The incidence of POPF was lower in the pancreas-related tumor types (AmpPB 18.5%, PDAC 8.3%) compared to the non-pancreas related types (DAC 27.3%, AmpIT 25.5%, dCCA 27.6%). Conclusions: Despite the close anatomic relation of the five periampullary cancers, this study shows that there are prognostic and clinically relevant differences in terms of preoperative blood markers, pathology, complications, long-term survival, and recurrence. More characteristics are shared between DAC and AmpIT and between AmpPB and dCCA than between the two ampullary subtypes. Instead of using collective definitions for “periampullary cancers”, this study emphasizes the need for individual evaluation of each histopathological periampullary subtype with the ampullary subtypes as individual entities in future studies.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.189
GPT teacher head0.522
Teacher spread0.334 · 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 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".

Quick stats

Citations1
Published2023
Admission routes1
Has abstractyes

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