Evidence map›Paper›PMID 25393849›Full record

ArticleRadiology2015

Targeted screening of individuals at high risk for pancreatic cancer: results of a simulation model.

Pari V Pandharipande, Curtis Heberle, Emily C Dowling, Chung Yin Kong, Angela Tramontano, Katherine E Perzan, William Brugge, Chin Hur

Erratum issuedAbstract read
In one paragraph

Article in Radiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

19 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. A Scoping Review on Calibration Methods for Cancer Simulation Models.Medical decision making : an international journal of the Society for Medical Decision Making · 2025
    Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Genetic testing to guide screening for pancreatic ductal adenocarcinoma: Results of a microsimulation model.Pancreatology : official journal of the International Association of Pancreatology (IAP) ... [et al.] · 2022
    Article
  8. Article
  9. Article
  10. Screening for pancreatic cancer-a compelling challenge.Hepatobiliary surgery and nutrition · 2021
    Article
  11. Article
  12. Article
  13. Progression to pancreatic ductal adenocarcinoma from pancreatic intraepithelial neoplasia: Results of a simulation model.Pancreatology : official journal of the International Association of Pancreatology (IAP) ... [et al.] · 2018
    Article
  14. Review
  15. Article
  16. Prevention of pancreatic cancer.Contemporary oncology (Poznan, Poland) · 2017
    Review
  17. Article
  18. Article
  19. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Pari V PandharipandeFrom the Massachusetts General Hospital Institute for Technology Assessment (P.V.P., C.H., E.C.D., C.Y.K., A.T., K.E.P., C.H.), Department of Radiology (P.V.P., C.H., E.C.D., C.Y.K., A.T.), and Department of General Medicine, Gastrointestinal Unit (K.E.P., W.B., C.H.), Massachusetts General Hospital, 101 Merrimac St, 10th Floor, Boston, MA 02114; and Harvard Medical School, Boston, Mass.
Curtis Heberle
Emily C Dowling
Chung Yin Kong
Angela Tramontano
Katherine E Perzan
William Brugge
Chin Hur

Funding

Cost-Effectiveness of Radiofrequency Ablation for Small, Incidental Renal TumorsK07CA133097 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI PANDHARIPANDE, PARI VIJAY · 2009 to 2013
$891k
Applications of Multi-Criteria Optimization (AMCO) to Cancer Simulation ModelingK25CA133141 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI KONG, CHUNG YIN · 2009 to 2013
$844k
NCI NIH HHS K07 CA133097NCI NIH HHS K25 CA133141
6 · The paper itself

Abstract

purposeTo identify when, from the standpoint of relative risk, magnetic resonance (MR) imaging-based screening may be effective in patients with a known or suspected genetic predisposition to pancreatic cancer. MATERIALS AND

methodsThe authors developed a Markov model of pancreatic ductal adenocarcinoma (PDAC). The model was calibrated to National Cancer Institute Surveillance, Epidemiology, and End Results registry data and informed by the literature. A hypothetical screening strategy was evaluated in which all population individuals underwent one-time MR imaging screening at age 50 years. Screening outcomes for individuals with an average risk for PDAC ("base case") were compared with those for individuals at an increased risk to assess for differential benefits in populations with a known or suspected genetic predisposition. Effects of varying key inputs, including MR imaging performance, surgical mortality, and screening age, were evaluated with a sensitivity analysis. RESULTS In the base case, screening resulted in a small number of cancer deaths averted (39 of 100 000 men, 38 of 100 000 women) and a net decrease in life expectancy (-3 days for men, -4 days for women), which was driven by unnecessary pancreatic surgeries associated with false-positive results. Life expectancy gains were achieved if an individual's risk for PDAC exceeded 2.4 (men) or 2.7 (women) times that of the general population. When relative risk increased further, for example to 30 times that of the general population, averted cancer deaths and life expectancy gains increased substantially (1219 of 100 000 men, life expectancy gain: 65 days; 1204 of 100 000 women, life expectancy gain: 71 days). In addition, results were sensitive to MR imaging specificity and the surgical mortality rate.

conclusionAlthough PDAC screening with MR imaging for the entire population is not effective, individuals with even modestly increased risk may benefit.

Indexed as

CalibrationCholangiopancreatography, Magnetic ResonanceComputer SimulationDisease ProgressionFemaleHumansLife ExpectancyMagnetic Resonance ImagingMaleMarkov ChainsMass ScreeningMiddle AgedPancreatic NeoplasmsPrevalenceRiskSensitivity and Specificity

Identifiers

PMID25393849
PMCPMC4372492

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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.