Evidence map›Paper›PMID 26049698›Full record

ReviewCancer journal (Sudbury, Mass.)

Challenges of Pancreatic Cancer.

Julien Dimastromatteo, Jacob L Houghton, Jason S Lewis, Kimberly A Kelly

Open access · greenAbstract readReview
In one paragraph

Review in Cancer journal (Sudbury, Mass.). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 7% 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

29 citing papers in PubMed, 1 synthesis or guideline pooled it, 44 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Contrast-enhanced CT radiomics for predicting lymph node metastasis in pancreatic ductal adenocarcinoma: a pilot study.Cancer imaging : the official publication of the International Cancer Imaging Society · 2020
    Article
  10. Metabolomics identifies serum and exosomes metabolite markers of pancreatic cancer.Metabolomics : Official journal of the Metabolomic Society · 2019
    Article
  11. Review
  12. A PET Imaging Strategy for Interrogating Target Engagement and Oncogene Status in Pancreatic Cancer.Clinical cancer research : an official journal of the American Association for Cancer Research · 2019
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Imaging in pancreatic disease.Nature reviews. Gastroenterology & hepatology · 2017
    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

4 authors at 1 institution in 1 country.

Julien DimastromatteoFrom the *Biomedical Engineering Department, University of Virginia, Robert M. Berne Cardiovascular Research Center, Charlottesville, VA; †Department of Radiology and the Program in Molecular Pharmacology and Chemistry, Memorial Sloan-Kettering Cancer Center, New York, NY.
Jacob L Houghton
Jason S Lewis
Kimberly A Kelly
University of Virginia · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
Highly Specific and Efficient Vectors for Targeting Pancreatic CancerR01CA168712 · NCI · UNIVERSITY OF VIRGINIA · PI FRENCH, BRENT A, KELLY, KIMBERLY A. · 2014 to 2017
$2.0M
Developing an Anti-sialyl-Lewisa Diabody for ImmunoPET Imaging of Pancreas CancerF32CA180452 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI HOUGHTON, JACOB · 2014 to 2016
$122k
NCI NIH HHS F32 CA180452NCI NIH HHS P30 CA008748NCI NIH HHS R01 CA168712
6 · The paper itself

Abstract

The development of novel molecular cancer imaging agents has considerably advanced in recent years. Numerous cancer imaging agents have demonstrated remarkable potential for aiding the diagnosis, staging, and treatment planning at the preclinical stage, which in turn has led to a number of agents being approved for human trials. Pancreatic ductal adenocarcinoma is currently the most deadly common carcinoma with an overall 5-year survival rate of about 6%. As detection technologies progress, the need for molecular imaging tools that will allow the diagnosis at an early stage will be crucial to improving patient outcomes. In this review, we will highlight agents that illuminate various cell populations that comprise the tumor: epithelial, endothelial, and stromal tumor cells.

Indexed as

Molecular ImagingPositron-Emission TomographyBiomarkers, TumorEarly Detection of CancerEndothelial CellsEpithelial CellsHumansNeoplastic Cells, CirculatingPancreatic NeoplasmsRadiographyStromal CellsBiomarkers, Tumor

Identifiers

PMID26049698
PMCPMC4517183
OpenAlexW2195541042

What OpenQuestion holds

Textmetadata
LicenceTDM
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.