Evidence map›Paper›PMID 26137463›Full record

ReviewFrontiers in medicine2015

Acinar Cell Carcinoma of the Pancreas: Overview of Clinicopathologic Features and Insights into the Molecular Pathology.

Stefano La Rosa, Fausto Sessa, Carlo Capella

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers.

0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed
6.0field-weighted citation impact, top 2% 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

63 citing papers in PubMed, 136 citations in OpenAlex.

  1. Article
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  4. Review
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  6. Acinar cell carcinoma of the pancreas: can CT and MR features predict survival?Cancer imaging : the official publication of the International Cancer Imaging Society · 2025
    Article
  7. Review
  8. Article
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  13. Review
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  15. Pathologic Features of Primary Pancreatic Malignancies.Cancer treatment and research · 2024
    Review
  16. Article
  17. Article
  18. Review
  19. Article
  20. Review

3 more citing papers are in PubMed but not listed here.

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 at 2 institutions in 1 country.

Stefano La RosaDepartment of Pathology, Ospedale di Circolo , Varese , Italy.
Fausto SessaDepartment of Surgical and Morphological Sciences, University of Insubria , Varese , Italy.
Carlo CapellaDepartment of Surgical and Morphological Sciences, University of Insubria , Varese , Italy.
University of Insubria · ITOspedale di Circolo e Fondazione Macchi · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acinar cell carcinomas (ACCs) of the pancreas are rare pancreatic neoplasms accounting for about 1-2% of pancreatic tumors in adults and about 15% in pediatric subjects. They show different clinical symptoms at presentation, different morphological features, different outcomes, and different molecular alterations. This heterogeneous clinicopathological spectrum may give rise to difficulties in the clinical and pathological diagnosis with consequential therapeutic and prognostic implications. The molecular mechanisms involved in the onset and progression of ACCs are still not completely understood, although in recent years, several attempts have been made to clarify the molecular mechanisms involved in ACC biology. In this paper, we will review the main clinicopathological and molecular features of pancreatic ACCs of both adult and pediatric subjects to give the reader a comprehensive overview of this rare tumor type.

Indexed as

acinar cell carcinomaimmunohistochemistrymolecular pathologymorphologypancreas

Identifiers

PMID26137463
PMCPMC4469112
OpenAlexW1489040970

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.