Evidence map›Paper›PMID 29190982›Full record

ArticleOncotarget2017

Diagnostic performance enhancement of pancreatic cancer using proteomic multimarker panel.

Jiyoung Park, Yonghwan Choi, Junghyun Namkung, Sung Gon Yi, Hyunsoo Kim, Jiyoung Yu, Yongkang Kim, Min-Seok Kwon, Wooil Kwon, Do-Youn Oh and 15 more

Erratum issuedOpen access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2017. 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 27 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 2 pooled it
1.4field-weighted citation impact, top 16% 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, 2 syntheses or guidelines pooled it, 48 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Proteomics in pancreatic cancer.Biomarker research · 2025
    Review
  5. Review
  6. Review
  7. Article
  8. Review
  9. Review
  10. Review
  11. Review
  12. Article
  13. Article
  14. Article
  15. Review
  16. LRG1: an emerging player in disease pathogenesis.Journal of biomedical science · 2022
    Review
  17. Diagnostic biomarkers for pancreatic cancer: An update.World journal of gastroenterology · 2021
    Article
  18. Review
  19. Review
  20. Diagnostic model for pancreatic cancer using a multi-biomarker panel.Annals of surgical treatment and research · 2021
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

25 authors at 10 institutions in 1 country.

Jiyoung Park *Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Korea.
Yonghwan Choi *Immunodiagnostics R&D Team, IVD Business Unit 5, SK Telecom, Seoul, Korea.
Junghyun NamkungImmunodiagnostics R&D Team, IVD Business Unit 5, SK Telecom, Seoul, Korea.
Sung Gon YiImmunodiagnostics R&D Team, IVD Business Unit 5, SK Telecom, Seoul, Korea.
Hyunsoo KimDepartment of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Korea.
Jiyoung YuDepartment of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Korea.
Yongkang KimDepartment of Statistics, Seoul National University, Seoul, Korea.
Min-Seok KwonDepartment of Statistics, Seoul National University, Seoul, Korea.
Wooil KwonDepartment of Surgery and Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea.
Do-Youn OhDepartment of Internal Medicine and Cancer Research Institute, Seoul National University Hospital, Seoul, Korea.
Sun-Whe KimDepartment of Surgery and Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea.
Seung-Yong JeongDepartment of Surgery and Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea.
Wonshik HanDepartment of Surgery and Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea.
Kyu Eun LeeDepartment of Surgery and Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea.
Jin Seok HeoDepartment of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Joon Oh ParkInternal Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Joo Kyung ParkDepartment of Internal Medicine, Seoul National University Hospital Healthcare System Gangnam Center, Seoul, Korea.
Song Cheol KimDepartment of Surgery, University of Ulsan College of Medicine and Asan Medical Center, Seoul, Korea.
Chang Moo KangDepartment of Surgery, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.
Woo Jin LeeCenter for Liver Cancer, National Cancer Center, Seoul, Korea.
Seungyeoun LeeDepartment of Mathematics and Statistics, Sejong University, Seoul, Korea.
Sangjo HanImmunodiagnostics R&D Team, IVD Business Unit 5, SK Telecom, Seoul, Korea.
Taesung ParkDepartment of Statistics, Seoul National University, Seoul, Korea.
Jin-Young JangDepartment of Surgery and Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea.
Youngsoo KimDepartment of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Korea.
Seoul National University · KRSK Group (South Korea) · KRSejong University · KRSungkyunkwan University · KRPohang University of Science and Technology · KRSamsung Medical Center · KRSeoul National University Hospital · KRUlsan College · KRUniversity of Ulsan · KRYonsei University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Due to its high mortality rate and asymptomatic nature, early detection rates of pancreatic ductal adenocarcinoma (PDAC) remain poor. We measured 1000 biomarker candidates in 134 clinical plasma samples by multiple reaction monitoring-mass spectrometry (MRM-MS). Differentially abundant proteins were assembled into a multimarker panel from a training set (n=684) and validated in independent set (n=318) from five centers. The level of panel proteins was also confirmed by immunoassays. The panel including leucine-rich alpha-2 glycoprotein (LRG1), transthyretin (TTR), and CA19-9 had a sensitivity of 82.5% and a specificity of 92.1%. The triple-marker panel exceeded the diagnostic performance of CA19-9 by more than 10% (AUC

Indexed as

diagnostic biomarkermultimarker panelmultiple reaction monitoringpancreatic cancerproteomics

Identifiers

PMID29190982
PMCPMC5696248
OpenAlexW2765407575

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.