Evidence map›Paper›PMID 36952130›Full record

ArticleEndocrine pathology2023

Prognostic Value of Microscopic Tumor Necrosis in Adrenal Cortical Carcinoma.

Michaela Luconi, Giulia Cantini, Rachel S van Leeuwaarde, Rogina Roebaar, Laura Fei, Arianna Pia Propato, Raffaella Santi, Tonino Ercolino, Massimo Mannelli, Letizia Canu and 2 more

Open access · hybridAbstract readMulticenter Study
In one paragraph

Article in Endocrine pathology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.5field-weighted citation impact, top 7% 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

8 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Review
  3. Diagnosis and grading of adrenal cortical carcinoma.Virchows Archiv : an international journal of pathology · 2026
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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

12 authors at 4 institutions in 3 countries.

Michaela LuconiEndocrinology Unit, Department of Experimental and Clinical Biomedical Sciences "Mario Serio", University of Florence, Viale Gaetano Pieraccini 6, Florence, 50139, Italy. michaela.luconi@unifi.it.
Giulia CantiniEndocrinology Unit, Department of Experimental and Clinical Biomedical Sciences "Mario Serio", University of Florence, Viale Gaetano Pieraccini 6, Florence, 50139, Italy.
Rachel S van LeeuwaardeDepartment of Endocrine Oncology, University Medical Center Utrecht, Utrecht, 3584 CX, The Netherlands.
Rogina RoebaarDepartment of Endocrine Oncology, University Medical Center Utrecht, Utrecht, 3584 CX, The Netherlands.
Laura FeiEndocrinology Unit, Department of Experimental and Clinical Biomedical Sciences "Mario Serio", University of Florence, Viale Gaetano Pieraccini 6, Florence, 50139, Italy.
Arianna Pia PropatoEndocrinology Unit, Department of Experimental and Clinical Biomedical Sciences "Mario Serio", University of Florence, Viale Gaetano Pieraccini 6, Florence, 50139, Italy.
Raffaella SantiPathology Section, Department of Health Sciences, University of Florence, Viale Gaetano Pieraccini 6, Florence, 50139, Italy.
Tonino ErcolinoEndocrinology Unit, Careggi University Hospital (AOUC), Florence, 50139, Italy.
Massimo MannelliEndocrinology Unit, Department of Experimental and Clinical Biomedical Sciences "Mario Serio", University of Florence, Viale Gaetano Pieraccini 6, Florence, 50139, Italy.
Letizia CanuEndocrinology Unit, Department of Experimental and Clinical Biomedical Sciences "Mario Serio", University of Florence, Viale Gaetano Pieraccini 6, Florence, 50139, Italy.
Ronald R de KrijgerPrincess Maxima Center for Pediatric Oncology, Utrecht, 3584 CS, The Netherlands.
Gabriella NesiCentro di Ricerca E Innovazione Sulle Patologie Surrenaliche, AOU Careggi, 50134, Florence, Italy. gabriella.nesi@unifi.i.
University of Florence · ITIstituto Nazionale di Documentazione Innovazione e Ricerca Educativa · ITUniversity Medical Center Utrecht · NLAzienda Ospedaliero-Universitaria Careggi · IT

Funding

Associazione Italiana Ricerca sul Cancro (AIRC) IG2015-17691
6 · The paper itself

Abstract

Adrenal cortical carcinoma (ACC) is an uncommon neoplasm with variable prognosis. Several histologic criteria have been identified as predictors of malignancy in adrenal cortical tumors. The Weiss score is the system most widely employed for diagnostic purposes, but also possesses prognostic value. We aim to determine the relative impact of each Weiss parameter on ACC patient survival. A multicenter retrospective analysis was conducted on a series of 79 conventional ACCs surgically treated at the Florence and Utrecht centers of the European Network for the Study of Adrenal Tumors (ENSAT). Weiss classification was recapitulated using principal component analysis (PCA). The Kaplan-Meier and Cox multivariate regression analyses were applied in order to estimate the prognostic power of Weiss versus other clinical parameters. PCA reduced the nine Weiss parameters to the best fitting 4-component model, each parameter clustering with a single component. Necrosis and venous invasion clustered together with the highest scores, thus establishing the most relevant component (Component 1) to explain Weiss distribution variability. Only Component 1 significantly predicted overall survival (OS, log-rank = 0.008) and disease-free survival (DFS, log-rank < 0.001). When considering the prognostic power of Weiss parameters, necrosis alone could independently assess OS (log-rank = 0.004) and DFS (log-rank < 0.001) at both the Kaplan-Meier and multivariate Cox regression analyses [hazard ratio (HR) = 7.8, 95% confidence interval [CI] = 1.0-63.5, p = 0.05, and HR = 12.2, 95% CI = 1.6-95.0, p = 0.017, respectively]. The presence of necrosis significantly shortened time to survival (TtS) and time to recurrence (TtR), 57.5 [31.5-103.5] vs 34 [12-78] months (p = 0.05) and 57.5 [31.5-103.5] vs 7 [1.0-31.5] months (p < 0.001), respectively. Our study suggests that, of the Weiss parameters, necrosis is the most powerful adverse factor and the best predictor of OS and DFS in ACC patients.

Indexed as

Adrenal Cortex NeoplasmsAdrenocortical CarcinomaHumansNecrosisNeoplasm StagingPrognosisRetrospective StudiesACCPrincipal component analysisSurvival analysisWeiss score

Identifiers

PMID36952130
PMCPMC10264263
OpenAlexW4360600426

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.