Evidence map›Paper›PMID 30428914›Full record

ArticleOrphanet journal of rare diseases2018

Multiple endocrine neoplasia type 1: extensive analysis of a large database of Florentine patients.

Francesca Marini, Francesca Giusti, Maria Luisa Brandi

Open access · goldAbstract read
In one paragraph

Article in Orphanet journal of rare diseases, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 12% 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

30 citing papers in PubMed, 1 synthesis or guideline pooled it, 44 citations in OpenAlex.

  1. American Association of Clinical Endocrinology Consensus Statement on Management of Multiple Endocrine Neoplasia Type 1.Endocrine practice : official journal of the American College of Endocrinology and the American Association of Clinical Endocrinologists · 2025
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  13. Brain and/or Spinal Cord Tumors Accompanied with Other Diseases or Syndromes.Advances in experimental medicine and biology · 2023
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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.

Francesca MariniDepartment of Surgery and Translational Medicine, University of Florence, Largo Palagi 1, 50139, Florence, Italy.
Francesca GiustiDepartment of Surgery and Translational Medicine, University of Florence, Largo Palagi 1, 50139, Florence, Italy.
Maria Luisa BrandiDepartment of Surgery and Translational Medicine, University of Florence, Largo Palagi 1, 50139, Florence, Italy. marialuisa.brandi@unifi.it.
University of Florence · IT

Funding

Ente Cassa di Risparmio di Firenze 2014/0431
6 · The paper itself

Abstract

backgroundMultiple endocrine neoplasia (MEN1) is a rare inherited multi-tumour syndrome, affecting specific neuroendocrine organs and non-endocrine tissues with a variable spectrum of over 20 possible different combinations, caused by inactivating heterozygote mutations of the MEN1 gene. Disease onset, penetrance, clinical presentation, course and prognosis are all extremely variable, even among individuals bearing the same causative mutation, which doesn't allow prediction of the individual clinical phenotype (based on the specific result of the genetic test), thus compelling all patients and mutation carriers to undergo a common routine general screening program.

resultsWe performed an extensive epidemiological, clinical and genetic analysis of the Florentine MEN1 patient database, which includes 145 MEN1 patients and 20 asymptomatic MEN1 carriers, constantly followed up at the Regional Referral Centre for Inherited Endocrine Tumours of the Tuscany Region, during the last three decades. We reported, here, the results of clinical, epidemiological and genetic descriptive statistics, as well as correlation analyses between tumours and mutation types and localisation. No direct genotype-phenotype correlation was described, but the importance of the genetic testing was confirmed for an early diagnosis and the identification of asymptomatic carriers.

conclusionsAs with all rare diseases, the possibility to collect and analyse data on a relatively large number of patients is important for increasing our knowledge of the epidemiologic aspects of the disease, and its natural course and prognosis of single manifestations of the syndrome, in order to set up the best diagnostic and therapeutic plans for patients. In this light, the creation and constant updating of large patient databases is fundamental. Results from database study can provide useful epidemiological, clinical and genetic information about MEN1 syndrome, which could help clinicians in the diagnostic and therapeutic management of single MEN1 patients.

Indexed as

AdolescentAdultAgedChildChild, PreschoolExonsFemaleHumansHyperparathyroidism, PrimaryInfantIntestinal NeoplasmsIntronsLipomaMaleMiddle AgedMultiple Endocrine Neoplasia Type 1Gastro-entero-pancreatic neuroendocrine tumours (GEP-NETs)Genetic testMEN1 geneMultiple endocrine neoplasia type 1 (MEN1)Patients’ databasePituitary adenomasPrimary hyperparathyroidism (PHPT)

Identifiers

PMID30428914
PMCPMC6237029
OpenAlexW2901194435

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.