Evidence map›Paper›PMID 39944362›Full record

RevieweGastroenterology2024

Pancreatic incidentaloma: incidental findings from history towards the era of liquid biopsy.

J-Matthias Löhr, Miroslav Vujasinovic, Nikolaos Kartalis, Philipp Osten

Abstract readReview
In one paragraph

Review in eGastroenterology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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

  1. Economic evaluations of early detection strategies for pancreatic cancer: a systematic review.The European journal of health economics : HEPAC : health economics in prevention and care · 2025
    Pooled it
  2. Article
  3. Review
  4. Risk of Pancreatic Cancer in Inflammatory Pancreatic Diseases.The Korean journal of gastroenterology = Taehan Sohwagi Hakhoe chi · 2025
    Review
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.

J-Matthias LöhrKarolinska Institute, Stockholm, Sweden.ORCID 0000-0002-7647-198X
Miroslav VujasinovicDepartment of Medicine, Karolinska Institute, Stockholm, Sweden.
Nikolaos KartalisDepartment of Radiology, Karolinska Institute, Stockholm, Sweden.
Philipp OstenDepartment of Medical History and Medical Ethics, University of Hamburg, Hamburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This report provides an overview of the most common diagnostic methods that bring to light incidental findings of pancreatic cancer. It reviews the impact of medical imaging and genetic assessment on the definitions of incidental findings and incidentaloma of the pancreas. For different diagnostic approaches (eg, MRI and CT) and for different affections (cysts/intraductal papillary mucinous neoplasia, solid lesions), specific guidelines have been proposed and some are established. Based on this, we summarise the differences between the traditional methods with those applied in the PANCAID project. Biomarkers, genetic predispositions, mutations and circulating tumour cells give rise to different levels of concern. The final part of the report discusses the risks and the opportunities associated with further diagnostic procedures and surgical interventions. From the ethical perspective, the most urging question is, can a screening based on liquid biopsy and blood samples open a gateway for the prevention of pancreatic cancer-even if morbidity and lethality of today's surgical interventions is still very high?

Indexed as

PancreasPancreatic CystPancreatic Neoplasms

Identifiers

PMID39944362
PMCPMC11770461

What OpenQuestion holds

Textmetadata
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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.