Evidence map›Paper›PMID 34728468›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2022

Prediction of Pancreatic Cancer in Diabetes Patients with Worsening Glycemic Control.

Christie Y Jeon, Sungjin Kim, Yu-Chen Lin, Harvey A Risch, Mark O Goodarzi, Teryl K Nuckols, Stephen J Freedland, Stephen J Pandol, Joseph R Pisegna

Open access · hybridAbstract read
In one paragraph

Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 3 pooled it
0.6field-weighted citation impact, top 28% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 3 syntheses or guidelines pooled it, 16 citations in OpenAlex.

  1. Pooled it
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  4. Prediagnostic prescription patterns in pancreatic cancer: a retrospective primary care cohort study.The British journal of general practice : the journal of the Royal College of General Practitioners · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 1 country.

Christie Y JeonCedars-Sinai Cancer, Cedars-Sinai Medical Center, Los Angeles, California. christie.jeon@cshs.org.ORCID 0000-0002-5739-2477
Sungjin KimCedars-Sinai Cancer, Cedars-Sinai Medical Center, Los Angeles, California.
Yu-Chen LinCedars-Sinai Cancer, Cedars-Sinai Medical Center, Los Angeles, California.
Harvey A RischDepartment of Epidemiology, Yale School of Public Health, Los Angeles, California.
Mark O GoodarziDivision of Endocrinology, Diabetes and Metabolism, Cedars-Sinai Medical Center, Los Angeles, California.ORCID 0000-0001-6364-5103
Teryl K NuckolsDivision of General Internal Medicine, Cedars-Sinai Medical Center, Los Angeles, California.ORCID 0000-0002-0416-1595
Stephen J FreedlandCedars-Sinai Cancer, Cedars-Sinai Medical Center, Los Angeles, California.
Stephen J PandolCedars-Sinai Cancer, Cedars-Sinai Medical Center, Los Angeles, California.
Joseph R PisegnaVeterans Affairs Greater Los Angeles Healthcare System, Los Angeles, California.
Cedars-Sinai Medical Center · USLos Angeles County Department of Public Health · USVA Greater Los Angeles Healthcare System · US

Funding

Pathophysiology, Epidemiology, and Prevention of Pancreatogenic Diabetes - Administrative SupplementU01DK108314 · NIDDK · CEDARS-SINAI MEDICAL CENTER · PI Mark Goodarzi, Stephen J. Pandol · 2015 to 2026
$6.1M
Project 3: Role of the pancreatic fibroinflammatory microenvironment in obesity-promoted pancreatic cancerP01CA236585 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI EIBL, GUIDO ERWIN MICHAEL · 2020 to 2024
$5.6M
Predicting the diagnosis of pancreatic cancer by leveraging big dataR21CA220073 · NCI · CEDARS-SINAI MEDICAL CENTER · PI JEON, CHRISTIE YOUNGHAE · 2018 to 2019
$429k
NCI NIH HHS P01 CA236585NCI NIH HHS R21 CA220073NIDDK NIH HHS U01 DK108314
6 · The paper itself

Abstract

backgroundWorsening glycemic control indicates elevated risk of pancreatic ductal adenocarcinoma (PDAC). We developed prediction models for PDAC among those with worsening glycemic control after diabetes diagnosis.

methodsIn 2000-2016 records within the Veterans Affairs Health System (VA), we identified three cohorts with progression of diabetes: (i) insulin initiation (

resultsIncidence of PDAC was highest for insulin initiators and greater in males than in females. Optimism-corrected c-indices of the models for predicting 36-month incidence of PDAC in the male population were: (i) 0.72, (ii) 0.70, and (iii) 0.71, respectively. Models performed better for predicting 12-month incident PDAC [c-index (i) 0.78, (ii) 0.73, (iii) 0.76 for males], and worse for predicting 60-month incident PDAC [c-index (i) 0.69, (ii) 0.67, (iii) 0.68 for males]. Model performance was lower among females. For subjects whose model-predicted 36-month PDAC risks were ≥1%, the observed incidences were (i) 1.9%, (ii) 2.2%, and (iii) 1.8%.

conclusionsSex-specific models for PDAC can estimate risk of PDAC at the time of progression of diabetes. IMPACT: Our models can identify diabetes patients who would benefit from PDAC screening.

Indexed as

Glycemic ControlAgedDiabetes MellitusDisease ProgressionFemaleHumansIncidenceMaleMiddle AgedPancreatic NeoplasmsRisk FactorsSex FactorsUnited StatesVeterans

Identifiers

PMID34728468
PMCPMC8759109
OpenAlexW3209861795

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.