Evidence map›Paper›PMID 28197742›Full record

ReviewDigestive diseases and sciences2017

Novel Biomarkers for Pancreatic Cysts.

Harkirat Singh, Kevin McGrath, Aatur D Singhi

Abstract readReview
PubMed Publisher
In one paragraph

Review in Digestive diseases and sciences, 2017. 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. Review
  2. Article
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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

3 authors.

Harkirat SinghDepartment of Medicine, University of Pittsburgh Medical Center, UPMC Presbyterian Hospital, 200 Lothrop Street, M2, C-wing, Pittsburgh, PA, 15213, USA.
Kevin McGrathDepartment of Medicine, University of Pittsburgh Medical Center, UPMC Presbyterian Hospital, 200 Lothrop Street, M2, C-wing, Pittsburgh, PA, 15213, USA.
Aatur D SinghiDepartment of Pathology, University of Pittsburgh Medical Center, UPMC Presbyterian Hospital, 200 Lothrop Street, Room A616.2, Pittsburgh, PA, 15213, USA. singhiad@upmc.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With increased utilization and ongoing advancements in cross-sectional abdominal imaging, the identification of a pancreatic cyst has become a frequent finding. While many pancreatic cysts are associated with a benign clinical course, others may transform into pancreatic ductal adenocarcinoma. However, distinguishing a benign from a malignant pancreatic cyst or pancreatic cyst with malignant potential on the basis of standard clinical findings, imaging parameters and ancillary studies can be challenging. Hence, a significant interest within the past decade has been the identification of novel biomarkers to accurately classify and prognosticate a pancreatic cyst. Within this review, we discuss novel DNA, miRNA, protein and metabolite biomarkers, and their relevance in clinical practice. In addition, we focus on future areas of research that have the potential to change pancreatic cyst management.

Indexed as

BiomarkersDNAHumansMicroRNAsPancreatic CystProteinsBiomarkersDNAMicroRNAsProteinsIntraductal papillary mucinous neoplasmMucinous cystic neoplasmPancreatic cancerSerous cystadenoma

Identifiers

PMID28197742

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.