Evidence map›Paper›PMID 41026309›Full record

ArticleEndocrine pathology2025

Presurgical Succinate MetAstatic Risk Tool (P-SMART) in Paragangliomas.

Elena Rapizzi, Lorenzo Zanatta, Alice Santi, Fabio Staderini, Niccolò Galeotti, Tonino Ercolino, Francesca Amore, Clotilde Sparano, Mario Maggi, Letizia Canu

Erratum issuedAbstract read
In one paragraph

Article in Endocrine pathology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. The evolving roles of pathologists in paragangliomas and pheochromocytomas.Virchows Archiv : an international journal of pathology · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Elena Rapizzi *Dept. Experimental and Clinical Medicine, University of Florence, Florence, Italy. elena.rapizzi@unifi.it.ORCID http://orcid.org/0000-0002-3826-2714
Lorenzo Zanatta *Dept. Experimental and Clinical Medicine, University of Florence, Florence, Italy.
Alice SantiDept. Experimental and Clinical Biomedical Sciences, University of Florence, Florence, Italy.
Fabio StaderiniDept. Experimental and Clinical Medicine, University of Florence, Florence, Italy.
Niccolò GaleottiCareggi University Hospital, Florence, Italy.
Tonino ErcolinoCareggi University Hospital, Florence, Italy.
Francesca AmoreDept. Experimental and Clinical Medicine, University of Florence, Florence, Italy.
Clotilde SparanoDept. Experimental and Clinical Biomedical Sciences, University of Florence, Florence, Italy.
Mario MaggiCentro Di Ricerca E Innovazione Sulle Patologie Surrenaliche, AOU Careggi, Florence, Italy.
Letizia CanuCentro Di Ricerca E Innovazione Sulle Patologie Surrenaliche, AOU Careggi, Florence, Italy. letizia.canu@unifi.it.ORCID http://orcid.org/0000-0003-4995-8108

Funding

Associazione Italiana per la Ricerca sul Cancro IG 2020-ID 24820Projects of Relevant National Interest (PRIN) 2022 CUP B53D23021320001Projects of Relevant National Interest (PRIN) 2022 CUP B53D23021440001
6 · The paper itself

Abstract

introductionParagangliomas (PGLs) are rare malignant non-epithelial neuroendocrine neoplasms characterized by a strong genetic determinism and heterogeneous metastatic potential with no reliable histopathological predictors. In this retrospective study we investigated the role of serum succinate as a biomarker for metastatic risk and developed a novel preoperative scoring tool. MATHERIALS AND

methodsSeventy patients with PGLs evaluated between 2006 and 2023 were analysed. Clinical, biochemical, imaging, and genetic data were collected. Germline genetic variants were analysed via Sanger sequencing or NGS through a targeted panel of susceptibility genes. Serum succinate concentrations were quantified by gas chromatography-mass spectrometry.

resultsSuccinate levels were significantly higher in patients with Cluster 1 genetic variants (p < 0.001), extra-adrenal PGLs (p = 0.006), and metastatic disease (p = 0.024). We developed a novel preoperative risk assessment tool, the P-SMART (Preoperative Succinate MetAstatic Risk Tool), combining serum succinate levels, tumour size, and location. P-SMART assigns: 3 points for extra-adrenal localization, 3.5 points for serum succinate ≥ 8.95 µM, and 3 points for tumour size ≥ 7.0 cm. In our cohort a P-SMART score > 4.75 predicted metastatic disease with 72.7% sensitivity and 83% specificity, outperforming the ASES score (Age, Size, Extra-adrenal, Secretory type; AUC 0.891 vs 0.752, p = 0.005).

conclusionsThough limited by sample size and retrospective design, our findings suggest that succinate is a minimally invasive biomarker that could enhance preoperative metastatic risk stratification, especially when integrated into a multiparametric score such as P-SMART. Larger prospective studies are needed to validate its role, but P-SMART could optimize clinical decision-making, refine patient selection for whole-body imaging, reduce unnecessary radiation exposure, and inform surveillance strategies.

Indexed as

Biomarkers, TumorParagangliomaSuccinic AcidAdultAgedFemaleHumansMaleMiddle AgedNeoplasm MetastasisRetrospective StudiesRisk AssessmentYoung AdultBiomarkers, TumorSuccinic AcidMetastatic scorePheochromocytomas and paragangliomasPrognostic markersP-SMARTSuccinate levels

Identifiers

PMID41026309
PMCPMC12484271

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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.