Evidence map›Paper›PMID 32879662›Full record

ReviewWorld journal of gastrointestinal oncology2020

One size does not fit all for pancreatic cancers: A review on rare histologies and therapeutic approaches.

Monica Niger, Michele Prisciandaro, Maria Antista, Melissa Anna Teresa Monica, Laura Cattaneo, Natalie Prinzi, Sara Manglaviti, Federico Nichetti, Marta Brambilla, Martina Torchio and 6 more

Abstract readReview
In one paragraph

Review in World journal of gastrointestinal oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Rare pancreatic cystic neoplasms: A pictorial review.European journal of radiology open · 2025
    Article
  7. Review
  8. Review
  9. Frontiers in oncology · 2024
    Article
  10. Article
  11. Article
  12. Review
  13. 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

16 authors.

Monica NigerMedical Oncology Department, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan 20133, Italy.
Michele PrisciandaroMedical Oncology Department, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan 20133, Italy.
Maria AntistaMedical Oncology Department, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan 20133, Italy.
Melissa Anna Teresa MonicaFirst Pathology Division, Department of Pathology and Laboratory Medicine, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan 20133, Italy.
Laura CattaneoFirst Pathology Division, Department of Pathology and Laboratory Medicine, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan 20133, Italy.
Natalie PrinziMedical Oncology Department, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan 20133, Italy.
Sara ManglavitiMedical Oncology Department, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan 20133, Italy.
Federico NichettiMedical Oncology Department, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan 20133, Italy.
Marta BrambillaMedical Oncology Department, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan 20133, Italy.
Martina TorchioMedical Oncology Department, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan 20133, Italy.
Francesca CortiMedical Oncology Department, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan 20133, Italy.
Sara PuscedduMedical Oncology Department, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan 20133, Italy.
Jorgelina CoppaHepato-biliary-pancreatic Surgery and Liver Transplantation Department, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan 20133, Italy.
Vincenzo MazzaferroHepato-biliary-pancreatic Surgery and Liver Transplantation Department, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan 20133, Italy.
Filippo de BraudMedical Oncology Department, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan 20133, Italy.
Maria Di BartolomeoMedical Oncology Department, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan 20133, Italy. maria.dibartolomeo@istitutotumori.mi.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Exocrine pancreatic neoplasms represent up to 95% of pancreatic cancers (PCs) and are widely recognized among the most lethal solid cancers, with a very poor 5-year survival rate of 5%-10%. The remaining < 5% of PCs are neuroendocrine tumors that are usually characterized by a better prognosis, with a median overall survival of 3.6 years. The most common type of PC is pancreatic ductal adenocarcinoma (PDAC), which accounts for roughly 85% of all exocrine PCs. However up to 10% of exocrine PCs have rare histotypes, which are still poorly understood. These subtypes can be distinguished from PDAC in terms of pathology, imaging, clinical presentation and prognosis. Additionally, due to their rarity, any knowledge regarding these specific histotypes is mostly based on case reports and a small series of retrospective analyses. Therefore, treatment strategies are generally deduced from those used for PDAC, even if these patients are often excluded or not clearly represented in clinical trials for PDAC. For these reasons, it is essential to collect as much information as possible on the management of PC, as assimilating it with PDAC may lead to the potential mistreatment of these patients. Here, we report the most significant literature regarding the epidemiology, typical presentation, possible treatment strategies, and prognosis of the most relevant histotypes among rare PCs.

Indexed as

Pancreatic acinar cell cancerPancreatic adenosquamous cancerPancreatoblastomaPseudopapillary pancreatic cancerRare pancreatic cancersUndifferentiated pancreatic cancer

Identifiers

PMID32879662
PMCPMC7443847

What OpenQuestion holds

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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.