Evidence map›Paper›PMID 38799767›Full record

ArticleJournal of the Endocrine Society2024

Identification of Predictors of Metastatic Potential in Paragangliomas to Develop a Prognostic Score (PSPGL).

Daniela Yone Veiga Iguchi, Sebastião Nunes Martins Filho, Iberê Cauduro Soares, Sheila Aparecida Coelho Siqueira, Venâncio Avancini Ferreira Alves, Aline Kawassaki Assato, Ji Hoon Yang, Madson Q Almeida, Maria Candida Barisson Villares Fragoso, Gustavo Freitas Cardoso Fagundes and 7 more

Abstract read
In one paragraph

Article in Journal of the Endocrine Society, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. The evolving roles of pathologists in paragangliomas and pheochromocytomas.Virchows Archiv : an international journal of pathology · 2026
    Review
  3. Article
  4. Article
  5. 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

17 authors.

Daniela Yone Veiga IguchiDivisão de Endocrinologia e Metabologia, Hospital das Clínicas, Faculdade de Medicina da Universidade de São Paulo, São Paulo 05403-000, Brazil.ORCID https://orcid.org/0009-0002-1630-0975
Sebastião Nunes Martins FilhoDepartment of Laboratory Medicine and Pathology, University of Alberta, Alberta T6G 1C9, Canada.
Iberê Cauduro SoaresDivisão de Anatomia Patológica, Instituto do Câncer do Estado de São Paulo (ICESP), Faculdade de Medicina da Universidade de São Paulo, São Paulo 01246-000, Brazil.ORCID https://orcid.org/0000-0003-3830-4686
Sheila Aparecida Coelho SiqueiraDivisão de Anatomia Patológica, Hospital das Clínicas, Faculdade de Medicina da Universidade de São Paulo, São Paulo 05403-000, Brazil.
Venâncio Avancini Ferreira AlvesLaboratório de Investigaçãoc Médica LIM/14, Departamento de Patologia, Faculdade de Medicina da Universidade de São Paulo, São Paulo 01246-903, Brazil.
Aline Kawassaki AssatoLaboratório de Investigaçãoc Médica LIM/14, Departamento de Patologia, Faculdade de Medicina da Universidade de São Paulo, São Paulo 01246-903, Brazil.
Ji Hoon YangClínica de Endocrinologia, Hospital do Servidor Público Municipal de São Paulo, São Paulo 01532-000, Brazil.
Madson Q AlmeidaLaboratório de Endocrinologia Molecular e Celular LIM/25, Divisão de Endocrinologia e Metabologia, Hospital das Clínicas, Faculdade de Medicina da Universidade de São Paulo, São Paulo 01246-903, Brazil.ORCID https://orcid.org/0000-0002-2957-6148
Maria Candida Barisson Villares FragosoLaboratório de Hormônios e Genética Molecular LIM/42, Divisão de Endocrinologia e Metabologia, Hospital das Clínicas, Faculdade de Medicina da Universidade de São Paulo, São Paulo 01246-903, Brazil.
Gustavo Freitas Cardoso FagundesLaboratório de Endocrinologia Molecular e Celular LIM/25, Divisão de Endocrinologia e Metabologia, Hospital das Clínicas, Faculdade de Medicina da Universidade de São Paulo, São Paulo 01246-903, Brazil.
Berenice B MendoncaLaboratório de Hormônios e Genética Molecular LIM/42, Laboratório de Sequenciamento em Larga Escala (SELA), Divisão de Endocrinologia e Metabologia, Hospital das Clínicas, Faculdade de Medicina da Universidade de São Paulo, São Paulo 01246-903, Brazil.
Delmar Muniz Lourenço JuniorLaboratório de Endocrinologia Molecular e Celular LIM/25, Divisão de Endocrinologia e Metabologia, Hospital das Clínicas, Faculdade de Medicina da Universidade de São Paulo, São Paulo 01246-903, Brazil.
Ana O HoffDivisão de Endocrinologia e Metabologia, Instituto do Câncer do Estado de São Paulo (ICESP), Faculdade de Medicina da Universidade de São Paulo, São Paulo 01246-000, Brazil.
Luciana Audi CastronevesDivisão de Endocrinologia e Metabologia, Instituto do Câncer do Estado de São Paulo (ICESP), Faculdade de Medicina da Universidade de São Paulo, São Paulo 01246-000, Brazil.ORCID https://orcid.org/0000-0002-2482-4675
Bruno Ferraz-de-SouzaLaboratório de Endocrinologia Celular e Molecular LIM/25, Divisão de Endocrinologia e Metabologia, Hospital das Clínicas, Faculdade de Medicina da Universidade de São Paulo 01246-903, Brazil.
Maria Lucia Cardillo Correa GiannellaLaboratório de Carboidratos e Radioimunoensaio LIM/18, Divisão de Endocrinologia e Metabologia, Hospital das Clínicas, Faculdade de Medicina da Universidade de São Paulo, São Paulo 01246-903, Brazil.
Maria Adelaide Albergaria PereiraDivisão de Endocrinologia e Metabologia, Hospital das Clínicas, Faculdade de Medicina da Universidade de São Paulo, São Paulo 05403-000, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Context: Paragangliomas (PGLs) are rare tumors in adrenal and extra-adrenal locations. Metastasis are found in approximately 5% to 35% of PGLs, and there are no reliable predictors of metastatic disease. Objective: This work aimed to develop a prognostic score of metastatic potential in PGLs. Methods: A retrospective analysis was conducted of clinical data from a cohort with PGLs and tumor histological assessment. Patients were divided into metastatic PGL (presence of metastasis) and nonmetastatic PGL (absence of metastasis ≥96 months of follow-up) groups. Univariate and multivariable analysis were performed to identify predictors of metastatic potential. A prognostic score was developed based on coefficients of multivariable analysis. Kaplan-Meier curves were generated to estimate disease-specific survival (DSS). Results: Out of 263 patients, 35 patients had metastatic PGL and 110 patients had nonmetastatic PGL. In multivariable analysis, 4 features were independently related to metastatic disease and composed the Prognostic Score of Paragangliomas (PSPGL): presence of central or confluent necrosis (33 points), more than 3 mitosis/10 high-power field (HPF) (28 points), extension into adipose tissue (20 points), and extra-adrenal location (19 points). A PSPGL of 24 or greater showed similar sensitivity with higher specificity than the Pheochromocytoma of the Adrenal Gland Scaled Score (PASS) and Grading System for Adrenal Pheochromocytoma and Paraganglioma (GAPP). PSPGL less than or equal to 20 was associated with a risk of metastasis of approximately 10%, whereas a PSPGL of 40 or greater was associated with approximately 80%. The presence of metastasis and Ki-67 of 3% or greater were related to lower DSS. Conclusion: The PSPGL, composed of 4 easy-to-assess parameters, demonstrated good performance in predicting metastatic potential and good ability in estimating metastasis risk.

Indexed as

GAPPmetastatic paragangliomanon-metastatic paragangliomaparagangliomaPASSpheochromocytoma

Identifiers

PMID38799767
PMCPMC11112433

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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.