Evidence map›Paper›PMID 40036965›Full record

Observational studyThe Journal of clinical endocrinology and metabolism2025

Clinical Phenotype of Graves Disease in Autoimmune Polyglandular Syndrome or as Isolated Disease: The GRAPHE Study.

Elisa Gatta, Ilenia Pirola, Aurora Gotti, Micaela Fredi, Pietro Bellini, Francesco Dondi, Riccardo Morandi, Claudio Casella, Francesco Bertagna, Franco Franceschini and 2 more

Abstract readObservational Study
In one paragraph

Observational study in The Journal of clinical endocrinology and metabolism, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Observational
  2. 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.

Elisa GattaDepartment of Clinical and Experimental Sciences, SSD Endocrinologia, University of Brescia, ASST Spedali Civili of Brescia, 25123, Brescia, Italy.ORCID 0000-0003-4460-3746
Ilenia PirolaDepartment of Clinical and Experimental Sciences, SSD Endocrinologia, University of Brescia, ASST Spedali Civili of Brescia, 25123, Brescia, Italy.
Aurora GottiDepartment of Clinical and Experimental Sciences, SSD Endocrinologia, University of Brescia, ASST Spedali Civili of Brescia, 25123, Brescia, Italy.
Micaela FrediDepartment of Clinical and Experimental Sciences, Rheumatology and Clinical Immunology, University of Brescia, ASST Spedali Civili of Brescia, 25123, Brescia, Italy.
Pietro BelliniNuclear Medicine, University of Brescia, ASST Spedali Civili, 25123, Brescia, Italy.
Francesco DondiNuclear Medicine, University of Brescia, ASST Spedali Civili, 25123, Brescia, Italy.
Riccardo MorandiCentro per la Diagnosi e Cura delle Neoplasie Endocrine e delle Malattie della Tiroide, University of Brescia, 25123, Brescia, Italy.
Claudio CasellaCentro per la Diagnosi e Cura delle Neoplasie Endocrine e delle Malattie della Tiroide, University of Brescia, 25123, Brescia, Italy.
Francesco BertagnaCentro per la Diagnosi e Cura delle Neoplasie Endocrine e delle Malattie della Tiroide, University of Brescia, 25123, Brescia, Italy.
Franco FranceschiniDepartment of Clinical and Experimental Sciences, Rheumatology and Clinical Immunology, University of Brescia, ASST Spedali Civili of Brescia, 25123, Brescia, Italy.
Mario RotondiIstituti Clinici Scientifici Maugeri IRCCS, Unit of Endocrinology and Metabolism, Laboratory for Endocrine Disruptors, 27100, Pavia, Italy.ORCID 0000-0001-6464-2334
Carlo CappelliDepartment of Clinical and Experimental Sciences, SSD Endocrinologia, University of Brescia, ASST Spedali Civili of Brescia, 25123, Brescia, Italy.ORCID 0000-0003-4317-1232

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

contextGraves disease (GD) can occur as an isolated condition or as part of an autoimmune polyglandular syndrome; there are no data regarding the differences in phenotype between these 2 forms.

objectiveTo assess differences in clinical presentation, complications, and outcomes in patients with isolated GD compared to those in whom GD is part of an autoimmune polyglandular syndrome.

methodsThe GRAPHE study is a retrospective observational study. The medical records of all patients with GD diagnosed and regularly followed at outpatient clinics for Endocrinology, Nuclear Medicine and Clinical Surgery, from January 1, 2010, to June 30, 2024, were retrieved. All the patients were followed by the same endocrinologists and treated in accordance with existing guidelines.

resultsThe enrolled patients (n = 567; 77% women) were divided into 3 different groups based on GD phenotypes: subjects affected by isolated GD (isolated GD); patients who developed autoimmune polyglandular syndrome (GD1-APS); and patients with autoimmune polyglandular syndrome who developed GD during follow-up (GD2-APS). The 3 groups were superimposable for gender (P = .086), fT4 (P = .899), fT3 (P = .434), TRAb titers (P = .882), and thyroid volume (P = .840) at disease onset. Isolated GD patients exhibited Graves orbitopathy more frequently (P < .001), a higher rate of definitive therapy (P < .001) and shorter time between disease onset and definitive therapy (P < .001) compared to the GD1-APS and GD2-APS patients.

conclusionThe results of the present study show that, despite similar clinical and biochemical phenotype at presentation, a more severe clinical course characterizes isolated GD patients compared to those whose disease is a feature of autoimmune polyglandular syndrome.

Indexed as

Graves DiseasePolyendocrinopathies, AutoimmuneAdultAgedFemaleFollow-Up StudiesHumansMaleMiddle AgedPhenotypeRetrospective StudiesYoung Adultautoimmune diseasesautoimmune polyglandular syndromeGraves disease

Identifiers

PMID40036965
PMCPMC12527429

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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.