Evidence map›Paper›PMID 18830385›Full record

ArticleInternational journal of clinical and experimental pathology2009

Diagnostic and prognostic biomarkers in pancreatic carcinoma.

John J Liang, Eric T Kimchi, Kevin F Staveley-O'Carroll, Dongfeng Tan

Abstract read
In one paragraph

Article in International journal of clinical and experimental pathology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

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

  1. Pooled it
  2. Article
  3. Thy1-Targeted Microbubbles for Ultrasound Molecular Imaging of Pancreatic Ductal Adenocarcinoma.Clinical cancer research : an official journal of the American Association for Cancer Research · 2018
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Advances in biomarker research for pancreatic cancer.Current pharmaceutical design · 2012
    Review
  9. 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

4 authors.

John J LiangDepartment of Pathology, Pennsylvania State University Hershey Medical Center Hershey, PA, USA.
Eric T Kimchi
Kevin F Staveley-O'Carroll
Dongfeng Tan

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pancreatic ductal carcinoma, one of the leading causes of cancer mortality, is typically diagnosed at an advanced stage, which significantly contributes to its high mortality rates. Studies have demonstrated that resection of small pancreatic tumors and tumors at lower stages correlates with improved survival. Detection of pancreatic carcinoma at an early, surgically resectable stage is the key to decreasing mortality and improving survival. Identification of sensitive diagnostic biomarkers as screening tools is crucial in detecting preinvasive pancreatic neoplasms. Numerous new DNA-, RNA- and protein-based biomarkers have been extensively investigated. This review aims to provide an update on these molecular markers, including biomarkers from blood, tissue as well as pancreatic juice and cystic fluid. These biomarkers hold potential utility in early diagnosis and prognostification of pancreatic ductal carcinoma, though many of which need to be validated in large-scale prospective studies before they can be used in clinical settings.

Indexed as

molecular biomarkersPancreatic ductal carcinoma

Identifiers

PMID18830385
PMCPMC2491391

What OpenQuestion holds

Textmetadata
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.