Evidence map›Paper›PMID 30769931›Full record

ReviewCancers2019

The Value of Histological Algorithms to Predict the Malignancy Potential of Pheochromocytomas and Abdominal Paragangliomas-A Meta-Analysis and Systematic Review of the Literature.

Adam Stenman, Jan Zedenius, Carl Christofer Juhlin

Registry-linked trialOpen access · goldAbstract readReview
In one paragraph

Review in Cancers, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04788927 (Development of a Comprehensive Predictive Model for Risk of Metastatic Disease in PPGLs Based on a Combination of Clinical, Biochemical, Genetic, and Pathoanatomical Characteristics a Retrospective National Cohort Study), which is not on this map. Cited by 53 papers.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed
9.5field-weighted citation impact, top 1% 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.

NCT04788927 not yet recruitingnot on this mapstarted 2023, after this paper: background citation

Development of a Comprehensive Predictive Model for Risk of Metastatic Disease in PPGLs Based on a Combination of Clinical, Biochemical, Genetic, and Pathoanatomical Characteristics a Retrospective National Cohort Study

TypeobservationalSponsorRigshospitalet, DenmarkRan2023 to 2027Enrolled400ConditionsParaganglioma, Pheochromocytoma, Genetic Predisposition to Disease, Pathology
3 · Its place in the literature

Who cites it

53 citing papers in PubMed, 89 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Metastatic Malignant Phaeochromocytoma in Ascitic Fluid: Cytological Diagnosis of a Rare Entity.Cytopathology : official journal of the British Society for Clinical Cytology · 2025
    Article
  8. Inflammation-based Scores in Patients With Pheochromocytoma.The Journal of clinical endocrinology and metabolism · 2025
    Article
  9. Pheochromocytoma in MEN2.Recent results in cancer research. Fortschritte der Krebsforschung. Progres dans les recherches sur le cancer · 2025
    Review
  10. Review
  11. Article
  12. Article
  13. Management of Pheochromocytomas and Paragangliomas.The Surgical clinics of North America · 2024
    Review
  14. Review
  15. Article
  16. Article
  17. Article
  18. Review
  19. Review
  20. 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

3 authors at 1 institution in 1 country.

Adam StenmanDepartment of Oncology-Pathology, Karolinska Institutet, 171 76 Stockholm, Sweden. adam.stenman@ki.se.ORCID 0000-0003-3248-7629
Jan ZedeniusDepartment of Molecular Medicine and Surgery, Karolinska Institutet, 171 76 Stockholm, Sweden. jan.zedenius@ki.se.
Carl Christofer JuhlinDepartment of Oncology-Pathology, Karolinska Institutet, 171 76 Stockholm, Sweden. christofer.juhlin@ki.se.ORCID 0000-0002-5945-9081
Karolinska University Hospital · SE

Funding

Cancerfonden Junior Clinical Investigator AwardSvenska Sällskapet för Medicinsk Forskning Stora Etableringsanslaget
6 · The paper itself

Abstract

Pheochromocytomas (PCCs) and abdominal paragangliomas (PGLs), collectively abbreviated PPGLs, are neuroendocrine tumors of the adrenal medulla and paraganglia, respectively. These tumors exhibit malignant potential but seldom display evidence of metastatic spread, the latter being the only widely accepted evidence of malignancy. To counter this, pre-defined histological algorithms have been suggested to stratify the risk of malignancy: Pheochromocytoma of the Adrenal Gland Scaled Score (PASS) and the Grading system for Adrenal Pheochromocytoma and Paraganglioma (GAPP). The PASS algorithm was originally intended for PCCs whereas the GAPP model is proposed for stratification of both PCCs and PGLs. In parallel, advances in terms of coupling overtly malignant PPGLs to the underlying molecular genetics have been made, but there is yet no combined risk stratification model based on histology and the overall mutational profile of the tumor. In this review, we systematically meta-analyzed previously reported cohorts using the PASS and GAPP algorithms and acknowledge a "rule-out" way of approaching these stratification models rather than a classical "rule-in" strategy. Moreover, the current genetic panorama regarding possible molecular adjunct markers for PPGL malignancy is reviewed. A combined histological and genetic approach will be needed to fully elucidate the malignant potential of these tumors.

Indexed as

GAPPhistologymeta-analysisparagangliomaPASSpheochromocytoma

Identifiers

PMID30769931
PMCPMC6406721
OpenAlexW2914017486

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.