Evidence map›Paper›PMID 40269043›Full record

ArticleScientific reports2025

Towards a genetic obesity risk score in a single-center study of children and adolescents with obesity.

Cristina Partenope, Giorgia Monteleone, Silvano Andorno, Antonella Petri, Flavia Prodam, Simonetta Bellone, Simona Mellone, Mara Giordano, Ivana Rabbone

Abstract read
In one paragraph

Article in Scientific reports, 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. Article
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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

9 authors.

Cristina PartenopeUniversity of Piemonte Orientale "Amedeo Avogadro", Novara, Italy. partenope.cristina@gmail.com.
Giorgia MonteleoneUniversity of Piemonte Orientale "Amedeo Avogadro", Novara, Italy.
Silvano AndornoDepartment of Biomedical Statistics, AOU Maggiore della Carità, Novara, Italy.
Antonella PetriDepartment of Pediatrics, AOU Maggiore della Carità, Novara, Italy.
Flavia ProdamUniversity of Piemonte Orientale "Amedeo Avogadro", Novara, Italy.
Simonetta BelloneUniversity of Piemonte Orientale "Amedeo Avogadro", Novara, Italy.
Simona MelloneLaboratory of Genetics, Struttura Complessa a Direzione Universitaria (SCDU) Biochimica Clinica, Ospedale Maggiore della Carità, Novara, Italy.
Mara GiordanoUniversity of Piemonte Orientale "Amedeo Avogadro", Novara, Italy.
Ivana RabboneUniversity of Piemonte Orientale "Amedeo Avogadro", Novara, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The objective of this study was to identify clinical and/or metabolic predictive factors of genetic obesity. Subjects aged ≤ 18 years with obesity (BMI ≥ 97 th percentile) followed-up at the Paediatric Endocrinology Clinic of Maggiore Hospital in Novara, Italy were screened for genes associated with obesity by next-generation sequencing. Anamnestic, anthropometric, and biochemical data were collected, and parents completed two questionnaires, to screen for hyperphagia and daytime sleepiness, respectively. The study included 50 patients. Six genetic variants (6/50 patients,12%) were classified as pathogenic/likely pathogenic, three (3/50 patients,6%) as polygenic, and 16 (13/50 patients,26%) as variants of uncertain clinical significance (VUS). Eight patients carried > 1 variant. All pathogenic mutations were in genes implicated in the hypothalamic melanocortin pathway or responsible for syndromic obesity. All subjects with definitive genetic diagnosis developed obesity before five years of age. There were no statistically significant differences in auxological nor metabolic parameters between the three genetic patterns of absent genetic mutations, VUS, and pathogenic/likely pathogenic mutations. Finally, a Genetic Obesity Risk Score was developed using logistic regression analysis, selecting Hyperphagia Questionnaire score, age of onset of obesity, and family history as variables. Genetic screening of our cohort of children and adolescents with severe obesity revealed pathogenic/polygenic variants in 18% of cases, with PCSK1 the most frequently mutated gene and with a definitive genetic diagnosis in 3 patients. Identifying clinical, behavioral, and metabolic features predictive of genetic obesity would facilitate early diagnosis and tailored management.

Indexed as

Genetic Predisposition to DiseaseObesityPediatric ObesityAdolescentChildChild, PreschoolFemaleHumansHyperphagiaItalyMaleMutationRisk FactorsSurveys and QuestionnairesAdolescentChildGeneticsObesityRisk score

Identifiers

PMID40269043
PMCPMC12018917

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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.