Evidence map›Paper›PMID 34122352›Full record

Observational studyFrontiers in endocrinology2021

A Direct Comparison of Patients With Hereditary and Sporadic Pancreatic Neuroendocrine Tumors: Evaluation of Clinical Course, Prognostic Factors and Genotype-Phenotype Correlations.

Przemysław Soczomski, Beata Jurecka-Lubieniecka, Aleksandra Krzywon, Alexander Jorge Cortez, Stanisław Zgliczynski, Natalia Rogozik, Małgorzata Oczko-Wojciechowska, Agnieszka Pawlaczek, Tomasz Bednarczuk, Barbara Jarzab

Open access · goldAbstract readComparative StudyObservational Study
In one paragraph

Observational study in Frontiers in endocrinology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
3.6field-weighted citation impact, top 6% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Review
  5. Concept of neuroendocrine neoplasms of all organs with a focus on grading, subtyping.Virchows Archiv : an international journal of pathology · 2026
    Review
  6. Review
  7. Review
  8. Article
  9. Article
  10. Review
  11. Review
  12. Article
  13. Review
  14. Article
  15. Article
  16. A Machine Learning Approach Using [Molecular imaging and biology · 2023
    Article
  17. Review
  18. Article
  19. 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

10 authors at 2 institutions in 1 country.

Przemysław SoczomskiDepartment of Nuclear Medicine and Endocrine Oncology, Maria Sklodowska-Curie National Research Institute of Oncology, Gliwice Branch, Gliwice, Poland.
Beata Jurecka-LubienieckaDepartment of Nuclear Medicine and Endocrine Oncology, Maria Sklodowska-Curie National Research Institute of Oncology, Gliwice Branch, Gliwice, Poland.
Aleksandra KrzywonDepartment of Biostatistics and Bioinformatics, Maria Sklodowska-Curie National Research Institute of Oncology, Gliwice Branch, Gliwice, Poland.
Alexander Jorge CortezDepartment of Biostatistics and Bioinformatics, Maria Sklodowska-Curie National Research Institute of Oncology, Gliwice Branch, Gliwice, Poland.
Stanisław ZgliczynskiDepartment of Internal Diseases and Endocrinology, Medical University of Warsaw, Warsaw, Poland.
Natalia RogozikDepartment of Internal Diseases and Endocrinology, Medical University of Warsaw, Warsaw, Poland.
Małgorzata Oczko-WojciechowskaLaboratory of Molecular Diagnostics and Functional Genomics, Department of Nuclear Medicine and Endocrine Oncology, Maria Sklodowska-Curie National Research Institute of Oncology, Gliwice Branch, Gliwice, Poland.
Agnieszka PawlaczekLaboratory of Molecular Diagnostics and Functional Genomics, Department of Nuclear Medicine and Endocrine Oncology, Maria Sklodowska-Curie National Research Institute of Oncology, Gliwice Branch, Gliwice, Poland.
Tomasz BednarczukDepartment of Internal Diseases and Endocrinology, Medical University of Warsaw, Warsaw, Poland.
Barbara JarzabDepartment of Nuclear Medicine and Endocrine Oncology, Maria Sklodowska-Curie National Research Institute of Oncology, Gliwice Branch, Gliwice, Poland.
The Maria Sklodowska-Curie National Research Institute of Oncology · PLMedical University of Warsaw · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Pancreatic neuroendocrine tumors (PNETs) in hereditary syndromes pose a significant challenge to clinicians. The rarity of these syndromes and PNETs itself make it difficult to directly compare them with sporadic PNETs. Despite research suggesting differences between these two entities, the same approach is used in hereditary and sporadic PNETs. Methods: We included 63 patients with hereditary PNET (GpNET) and 145 with sporadic PNET (SpNET) in a retrospective observational study. Clinical and genetic data were collected in two Polish endocrine departments from January 2004 to February 2020. Only patients with confirmed germline mutations were included in the GpNET cohort. We attempted to establish prognostic factors of metastases and overall survival in both groups and genotype-phenotype correlations in the GpNET group. Results: Patients with GpNET were younger and diagnosed earlier, whereas their tumors were smaller and more frequently multifocal compared with patients with SpNET. Metastases occurred more frequently in the SpNET group, and their appearance was associated with tumor size in both groups. GpNET patients had longer overall survival (OS). OS was affected by age, age at diagnosis, sex, grade, stage, tumor diameter, occurrence and localization of metastases, type of treatment, and comorbidities. In the MEN1 group, carriers of frameshift with STOP codon, splice site, and missense mutations tended to have less advanced disease, while patients with mutations in exon 2 tended to have metastases more frequently. Conclusions: Direct comparisons of GpNET and SpNET demonstrate significant differences in the clinical courses of both entities, which should force different approaches. A larger group of patients with GpNET should be assessed to confirm genotype-phenotype correlations.

Indexed as

MutationAdultDisease ProgressionFemaleGenetic Association StudiesHumansMaleMiddle AgedNeuroendocrine TumorsPancreatic NeoplasmsPrognosisRetrospective Studiescomparisongenotype-phenotype correlationhereditary pancreatic neuroendocrine tumor (PNET)multiple neuroendocrine neoplasia type 1pancreatic neuroendocrine tumorVon Hippel–Lindau Syndrome

Identifiers

PMID34122352
PMCPMC8194819
OpenAlexW3168331239

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.