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Record W1480654497 · doi:10.1155/2009/139780

Survival in Cystic Neoplasms of the Pancreas

2009· article· en· W1480654497 on OpenAlexaffvenueabout
Ali Cadili, Amy Bazzerelli, Sipi Garg, Robert L. Bailey

Bibliographic record

VenueCanadian Journal of Gastroenterology · 2009
Typearticle
Languageen
FieldMedicine
TopicPancreatic and Hepatic Oncology Research
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMedicinePancreatic cancerCystPancreasRetrospective cohort studyAbdominal painNauseaCohortVomitingPathologicalRadiologyInternal medicineSurgeryGastroenterologyCancer

Abstract

fetched live from OpenAlex

BACKGROUND: The natural history of pancreatic cystic neoplasms remains poorly understood despite growing evidence on the subject. Pancreatic cysts display a wide spectrum of pathological phenotypes, each associated with a different prognostic implication. Many pancreatic cysts are of undetermined malignant potential at presentation and remain so until surgically resected. While the survival rates of patients with malignant cysts are known to be poor, survival rates in patients with undetermined pancreatic cysts are unknown. OBJECTIVE: To identify the factors associated with survival in a group of patients diagnosed with a pancreatic cyst(s). METHODS: The present study was a retrospective multicentre review of pancreatic cystic neoplasms. All patients with a diagnosis of a neoplastic pancreatic cyst from 1994 to 2003 were identified at five different institutions in Edmonton, Alberta. The data collected included patient age, sex, imaging modality, cyst location, cyst size, number of cysts, comorbid illnesses, history of upper abdominal surgery, previous cancer, previous or concurrent metastases, symptoms (pain, upper gastrointestinal bleeding, signs of biliary obstruction, nausea/vomiting), remarkable radiological features, elevated amylase or lipase, type of pancreatic surgery, final pathology (benign or malignant) and overall survival. Survival models were used to assess whether any covariates were predictors of the survival time. Patient data were plotted using the Kaplan-Meier method. The resulting plot was used to calculate survival in the cohort. RESULTS: In total, 64 patients were identified as having neoplastic pancreatic cysts from 1994 to 2003 at the five institutions. The median overall patient survival time was 86 months. The median age at diagnosis for the patient population was 73 years, with 40 patients being women. Univariate analysis revealed that the risk of death was associated with patient age, sex and history of major comorbid illness. Multivariate models identified increased patient age and male sex as the factors that correlated most strongly with decreased overall survival. CONCLUSION: Overall survival in patients with neoplastic pancreatic cysts is determined by patient factors (ie, age and sex) rather than factors descriptive of the cyst such as size and morphology. No conclusions could be made regarding the relationship between cyst pathology and patient survival.

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)0.000
metaresearch head score (Gemma)0.002
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 score0.012
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.018
GPT teacher head0.278
Teacher spread0.261 · 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

Citations11
Published2009
Admission routes3
Has abstractyes

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