Evidence map›Paper›PMID 28700444›Full record

ArticleAnnals of surgery2018

Multi-institutional Validation Study of Pancreatic Cyst Fluid Protein Analysis for Prediction of High-risk Intraductal Papillary Mucinous Neoplasms of the Pancreas.

Mohammad A Al Efishat, Marc A Attiyeh, Anne A Eaton, Mithat Gönen, Denise Prosser, Anna E Lokshin, Carlos Fernández-Del Castillo, Keith D Lillemoe, Cristina R Ferrone, Ilaria Pergolini and 12 more

Open access · greenAbstract readMulticenter StudyValidation Study
In one paragraph

Article in Annals of surgery, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
2.5field-weighted citation impact, top 9% 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

27 citing papers in PubMed, 1 synthesis or guideline pooled it, 45 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. ACSS2/AATF Drives Soluble FasL-Mediated CD8Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
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  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
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  15. Review
  16. Molecular Diagnosis of Cystic Neoplasms of the Pancreas: a Review.Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract · 2020
    Review
  17. Article
  18. Molecular Diagnostics and Testing for Pancreatic Cysts.Current treatment options in gastroenterology · 2020
    Review
  19. Review
  20. Article
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

22 authors at 5 institutions in 1 country.

Mohammad A Al EfishatDepartment of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY.
Marc A AttiyehDepartment of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY.
Anne A EatonDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY.
Mithat GönenDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY.
Denise ProsserDepartment of Pathology, University of Pittsburgh Cancer Institute, Pittsburgh, PA.
Anna E LokshinDepartment of Pathology, University of Pittsburgh Cancer Institute, Pittsburgh, PA.
Carlos Fernández-Del CastilloDepartment of Surgery, Massachusetts General Hospital, Boston, MA.
Keith D LillemoeDepartment of Surgery, Massachusetts General Hospital, Boston, MA.
Cristina R FerroneDepartment of Surgery, Massachusetts General Hospital, Boston, MA.
Ilaria PergoliniDepartment of Surgery, Massachusetts General Hospital, Boston, MA.
Mari Mino-KenudsonDepartment of Pathology, Massachusetts General Hospital, Boston, MA.
Neda RezaeeDepartment of Surgery, Johns Hopkins Hospital, Baltimore, MD.
Marco Dal MolinDepartment of Surgery, Johns Hopkins Hospital, Baltimore, MD.
Matthew J WeissDepartment of Surgery, Johns Hopkins Hospital, Baltimore, MD.
John L CameronDepartment of Surgery, Johns Hopkins Hospital, Baltimore, MD.
Ralph H HrubanSol Goldman Pancreatic Cancer Research Center, Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD.
Michael I D'AngelicaDepartment of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY.
T Peter KinghamDepartment of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY.
Ronald P DeMatteoDepartment of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY.
William R JarnaginDepartment of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY.
Christopher L WolfgangDepartment of Surgery, Johns Hopkins Hospital, Baltimore, MD.
Peter J AllenDepartment of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY.
Memorial Sloan Kettering Cancer Center · USJohns Hopkins Hospital · USMassachusetts General Hospital · USUPMC Hillman Cancer Center · USJohns Hopkins University · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
Tumor Antigens for Individual Signatures and TherapyP50CA062924 · NCI · JOHNS HOPKINS UNIVERSITY · PI LENNON, ANNE MARIE · 1993 to 2022
$54.6M
Biomarker validation for intraductal papillary mucinous neoplasms of the pancreasR01CA182076 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI Peter J Allen · 2014 to 2026
$3.6M
Validation of pancreatic cancer biomarkers in large prospective cohortsR01CA196286 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI LOKSHIN, ANNA E. · 2015 to 2017
$1.4M
NCI NIH HHS P30 CA008748NCI NIH HHS P50 CA062924NCI NIH HHS R01 CA182076NCI NIH HHS R01 CA196286
6 · The paper itself

Abstract

objectivePreliminary work by our group suggested that proteins within the pancreatic cyst fluid (CF) may discriminate degree of IPMN dysplasia. We sought to externally validate these markers and determine whether their inclusion in a preoperative clinical nomogram could increase diagnostic accuracy. SUMMARY BACKGROUND DATA: IPMN is the most common radiographically identifiable precursor to pancreatic cancer; however, the timing and frequency of its malignant progression are unknown, and there are currently no reliable preoperative tests that can determine the grade of dysplasia in IPMN.

methodsClinical and radiographic data, as well as CF samples, were obtained from 149 patients who underwent resection for IPMN at 1 of 3 institutions. High-risk disease was defined as the presence of high-grade dysplasia or invasive carcinoma. Multianalyte bead array analysis (Luminex) of CF was performed for 4 protein markers that were previously associated with high-risk disease. Logistic regression models were fit on training data, with and without adjustment for a previously developed clinical nomogram and validated with an external testing set. The models incorporating clinical risk score were presented graphically as nomograms.

resultsWithin the group of 149 resected patients, 89 (60%) had low-risk disease, and 60 (40%) had high-risk disease. All 4 CF markers (MMP9, CA72-4, sFASL, and IL-4) were overexpressed in patients with high-risk IPMN (P < 0.05). Two predictive models based on preselected combinations of CF markers had concordance indices of 0.76 (Model-1) and 0.80 (Model-2). Integration of each CF marker model into a previously described clinical nomogram leads to increased discrimination compared with either the CF models or nomogram alone (c-indices of 0.84 and 0.83, respectively).

conclusionsThis multi-institutional study validated 2 CF protein marker models for preoperative identification of high-risk IPMN. When combined with a clinical nomogram, the ability to predict high-grade dysplasia was even stronger.

Indexed as

Decision Support TechniquesAdultAgedAged, 80 and overBiomarkers, TumorCarcinoma, Pancreatic DuctalCyst FluidDatabases, FactualFemaleHumansLogistic ModelsMaleMiddle AgedNomogramsPancreatic Intraductal NeoplasmsPreoperative CareBiomarkers, Tumor

Identifiers

PMID28700444
PMCPMC5764837
OpenAlexW2736291532

What OpenQuestion holds

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Registered trials

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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.