Evidence map›Paper›PMID 24884871›Full record

ArticleMolecular cancer2014

Serum cytokine biomarker panels for discriminating pancreatic cancer from benign pancreatic disease.

Victoria E Shaw, Brian Lane, Claire Jenkinson, Trevor Cox, William Greenhalf, Christopher M Halloran, Joseph Tang, Robert Sutton, John P Neoptolemos, Eithne Costello

Open access · goldAbstract read
In one paragraph

Article in Molecular cancer, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 2 pooled it
2.8field-weighted citation impact, top 8% 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

43 citing papers in PubMed, 2 syntheses or guidelines pooled it, 85 citations in OpenAlex.

  1. Biomarkers of Chronic Pancreatitis: A systematic literature review.Pancreatology : official journal of the International Association of Pancreatology (IAP) ... [et al.] · 2021
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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

10 authors at 2 institutions in 1 country.

Victoria E Shaw
Brian Lane
Claire Jenkinson
Trevor Cox
William Greenhalf
Christopher M Halloran
Joseph Tang
Robert Sutton
John P Neoptolemos
Eithne CostelloNIHR Liverpool Pancreas Biomedical Research Unit, Royal Liverpool and Broadgreen University Hospital NHS Trust, Department of Molecular and Clinical Cancer Medicine, University of Liverpool, Liverpool L69 3GA, UK. ecostell@liverpool.ac.uk.
Royal Liverpool and Broadgreen University Hospital NHS Trust · GBUniversity of Liverpool · GB

Funding

Cancer Research UK 15957Cancer Research UK 16791Cancer Research UK 8968Cancer Research UK A12790
6 · The paper itself

Abstract

backgroundWe investigated whether combinations of serum cytokines, used with logistic disease predictor models, could facilitate the detection of pancreatic ductal adenocarcinoma (PDAC).

methodsThe serum levels of 27 cytokines were measured in 241 subjects, 127 with PDAC, 49 with chronic pancreatitis, 20 with benign biliary obstruction and 45 healthy controls. Samples were split randomly into independent training and test sets. Cytokine biomarker panels were selected by identifying the top performing cytokines in best fit logistic regression models during multiple rounds of resampling from the training dataset. Disease prediction by logistic models, built using the resulting cytokine panels, was evaluated with training and test sets and further examined using resampled performance evaluation.

resultsFor the discrimination of PDAC patients from patients with benign disease, a panel of IP-10, IL-6, PDGF plus CA19-9 offered improved diagnostic performance over CA19-9 alone in the training (AUC 0.838 vs. 0.678) and independent test set (AUC 0.884 vs. 0.798). For the discrimination of PDAC from CP, a panel of IL-8, CA19-9, IL-6 and IP-10 offered improved diagnostic performance over CA19-9 alone with the training (AUC 0.880 vs. 0.758) and test set (AUC 0.912 vs. 0.848). Finally, for the discrimination of PDAC in the presence of jaundice from benign controls with jaundice, a panel of IP-10, IL-8, IL-1b and PDGF demonstrated improvement over CA19-9 in the training (AUC 0.810 vs. 0.614) and test set (AUC 0.857 vs. 0.659).

conclusionsThese findings support the potential role for cytokine panels in the discrimination of PDAC from patients with benign pancreatic diseases and warrant additional study.

Indexed as

AdultAgedAntigens, Tumor-Associated, CarbohydrateBiomarkersCarcinoma, Pancreatic DuctalCase-Control StudiesCholestasisCytokinesDiagnosis, DifferentialFemaleGene ExpressionHumansLogistic ModelsMaleMiddle AgedPancreasAntigens, Tumor-Associated, CarbohydrateBiomarkerscarbohydrate antigen 199, humanCytokinesPlatelet-Derived Growth Factorplatelet-derived growth factor A

Identifiers

PMID24884871
PMCPMC4032456
OpenAlexW2125104845

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.