Evidence map›Paper›PMID 36556146›Full record

ArticleJournal of clinical medicine2022

Next-Generation Sequencing of a Large Gene Panel for Outcome Prediction of Bariatric Surgery in Patients with Severe Obesity.

Gabriele Bonetti, Kristjana Dhuli, Maria Rachele Ceccarini, Jurgen Kaftalli, Michele Samaja, Vincenza Precone, Stefano Cecchin, Paolo Enrico Maltese, Giulia Guerri, Giuseppe Marceddu and 11 more

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.3field-weighted citation impact, top 17% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
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

21 authors at 8 institutions in 2 countries.

Gabriele BonettiMAGI'S LAB, 38068 Rovereto, Italy.ORCID 0000-0002-0666-9616
Kristjana DhuliMAGI'S LAB, 38068 Rovereto, Italy.
Maria Rachele CeccariniDepartment of Pharmaceutical Sciences, University of Perugia, 06123 Perugia, Italy.ORCID 0000-0002-5344-4890
Jurgen KaftalliMAGI EUREGIO, 39100 Bolzano, Italy.
Michele SamajaMAGI'S LAB, 38068 Rovereto, Italy.ORCID 0000-0002-0705-340X
Vincenza PreconeMAGI EUREGIO, 39100 Bolzano, Italy.
Stefano CecchinMAGI'S LAB, 38068 Rovereto, Italy.
Paolo Enrico MalteseMAGI'S LAB, 38068 Rovereto, Italy.ORCID 0000-0002-1974-4937
Giulia GuerriMAGI'S LAB, 38068 Rovereto, Italy.
Giuseppe MarcedduMAGI EUREGIO, 39100 Bolzano, Italy.
Tommaso BeccariDepartment of Pharmaceutical Sciences, University of Perugia, 06123 Perugia, Italy.ORCID 0000-0001-9637-6579
Barbara AquilantiUOSD Medicina Bariatrica, Fondazione Policlinico Agostino Gemelli IRCCS, 00168 Rome, Italy.
Valeria VellutiUOSD Medicina Bariatrica, Fondazione Policlinico Agostino Gemelli IRCCS, 00168 Rome, Italy.ORCID 0000-0002-7684-5785
Giuseppina MateraUOSD Medicina Bariatrica, Fondazione Policlinico Agostino Gemelli IRCCS, 00168 Rome, Italy.
Marco PerroneDepartment of Cardiology, University of Rome Tor Vergata, 00133 Rome, Italy.ORCID 0000-0002-0511-2621
Amerigo IaconelliUOSD Medicina Bariatrica, Fondazione Policlinico Agostino Gemelli IRCCS, 00168 Rome, Italy.
Francesca ColomboDepartment of Food, Environmental and Nutritional Sciences, Università degli Studi di Milano, 20122 Milan, Italy.
Francesco GrecoResponsabile Unità di Chirurgia Bariatrica e Metabolica, Istituto Ospedaliero Fondazione Poliambulanza, 25124 Brescia, Italy.
Marco RaffaelliUOC Chirurgia Endocrina e Metabolica, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Università Cattolica del Sacro Cuore, 00168 Rome, Italy.
Mahmut Cerkez ErgorenDepartment of Medical Genetics, Faculty of Medicine, Near East University, 99138 Nicosia, Cyprus.ORCID 0000-0001-9593-9325
Matteo BertelliMAGI'S LAB, 38068 Rovereto, Italy.ORCID 0000-0002-9552-221X
Center for Neuroscience and Cognitive Systems · ITAgostino Gemelli University Polyclinic · ITUniversity of Perugia · ITFondazione Poliambulanza Istituto Ospedaliero · ITNear East University · CYUniversità Cattolica del Sacro Cuore · ITUniversity of Milan · ITUniversity of Rome Tor Vergata · IT

Funding

Provincia Autonoma di Bolzano LP 15/2020 (dgp 3174/2021)
6 · The paper itself

Abstract

Obesity is a chronic disease in which abnormal deposition of fat threatens health, leading to diabetes, cardiovascular diseases, cancer, and other chronic illnesses. According to the WHO, 19.8% of the adult population in Italy is obese, and the prevalence is higher among men. It is important to know the predisposition of an individual to become obese and to respond to bariatric surgery, the most up-to-date treatment for severe obesity. To this purpose, we developed an NGS gene panel, comprising 72 diagnostic genes and 244 candidate genes, and we sequenced 247 adult obese Italian patients. Eleven deleterious variants in 9 diagnostic genes and 17 deleterious variants in 11 candidate genes were identified. Interestingly, mutations were found in several genes correlated to the Bardet-Biedl syndrome. Then, 25 patients were clinically followed to evaluate their response to bariatric surgery. After a 12-month follow-up, the patients that carried deleterious variants in diagnostic or candidate genes had a reduced weight loss, as compared to the other patients. The NGS-based panel, including diagnostic and candidate genes used in this study, could play a role in evaluating, diagnosing, and managing obese individuals, and may help in predicting the outcome of bariatric surgery.

Indexed as

bariatric surgerynext generation sequencingobesitytarget sequencing

Identifiers

PMID36556146
PMCPMC9783894
OpenAlexW4312195986

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.