Evidence map›Paper›PMID 25050350›Full record

ReviewBioMed research international2014

Biomarkers as predictors of recurrence following curative resection for pancreatic ductal adenocarcinoma: a review.

Sylvester N Osayi, Mark Bloomston, Carl M Schmidt, E Christopher Ellison, Peter Muscarella

Abstract readReview
In one paragraph

Review in BioMed research international, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–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. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Heterogeneity index evaluated by slope of linear regression onEuropean journal of nuclear medicine and molecular imaging · 2017
    Article
  7. MicroRNA Expression in a Readily Accessible Common Hepatic Artery Lymph Node Predicts Time to Pancreatic Cancer Recurrence Postresection.Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract · 2016
    Article
  8. Article
  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

5 authors.

Sylvester N OsayiDepartment of Surgery and Center for Minimally Invasive Surgery, The Ohio State University Wexner Medical Center, Columbus, OH 43210, USA.
Mark BloomstonDepartment of Surgery and Center for Minimally Invasive Surgery, The Ohio State University Wexner Medical Center, Columbus, OH 43210, USA.
Carl M SchmidtDepartment of Surgery and Center for Minimally Invasive Surgery, The Ohio State University Wexner Medical Center, Columbus, OH 43210, USA.
E Christopher EllisonDepartment of Surgery and Center for Minimally Invasive Surgery, The Ohio State University Wexner Medical Center, Columbus, OH 43210, USA.
Peter MuscarellaDepartment of Surgery and Center for Minimally Invasive Surgery, The Ohio State University Wexner Medical Center, Columbus, OH 43210, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pancreatic ductal adenocarcinoma (PDA) is the fourth most common cancer causing death in the United States. Early tumor recurrence is an important contributor to the dismal prognosis. The availability of an accurate prognostic biomarker for predicting disease recurrence following curative resection will be beneficial for patient care. Most of the currently studied biomarkers remain in the investigational phase, with CA 19-9 being the only biomarker currently approved by the FDA. Herein, we review the utility of CA 19-9 and other investigational cellular, gene, and molecular tumor markers for predicting PDA recurrence following curative surgical resection.

Indexed as

AdenocarcinomaBiomarkers, TumorCarcinoma, Pancreatic DuctalHumansNeoplasm Recurrence, LocalPancreatic NeoplasmsBiomarkers, Tumor

Identifiers

PMID25050350
PMCPMC4094702

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.