Evidence map›Paper›PMID 36837824›Full record

ArticleMetabolites2023

Application of Artificial Neural Networks (ANN) to Elucidate the Connections among Smell, Obesity with Related Metabolic Alterations, and Eating Habit in Patients with Weight Excess.

Fernanda Velluzzi, Andrea Deledda, Mauro Lombardo, Michele Fosci, Roberto Crnjar, Enzo Grossi, Giorgia Sollai

Open access · goldAbstract read
In one paragraph

Article in Metabolites, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
3.1field-weighted citation impact, top 9% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Effect of theFoods (Basel, Switzerland) · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Effect of theNutrients · 2024
    Article
  9. Review
  10. Article
  11. Article
  12. 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

7 authors at 2 institutions in 2 countries.

Fernanda VelluzziObesity Unit, Department of Medical Sciences and Public Health, University Hospital of Cagliari, 09124 Cagliari, Italy.ORCID 0000-0003-1659-6083
Andrea DeleddaObesity Unit, Department of Medical Sciences and Public Health, University Hospital of Cagliari, 09124 Cagliari, Italy.ORCID 0000-0001-6925-7515
Mauro LombardoDepartment of Human Sciences and Promotion of the Quality of Life, San Raffaele Roma Open University, 00166 Rome, Italy.ORCID 0000-0001-7509-5487
Michele FosciObesity Unit, Department of Medical Sciences and Public Health, University Hospital of Cagliari, 09124 Cagliari, Italy.ORCID 0000-0002-1986-0743
Roberto CrnjarDepartment of Biomedical Sciences, University of Cagliari, 09042 Monserrato, Italy.
Enzo GrossiAutism Research Unit, Villa Santa Maria Foundation, 22038 Tavernerio, Italy.ORCID 0000-0003-0346-2684
Giorgia SollaiDepartment of Biomedical Sciences, University of Cagliari, 09042 Monserrato, Italy.ORCID 0000-0001-7341-582X
University of Cagliari · ITFaculty of Public Health · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Obesity is a severe health problem linked to an increased risk of comorbidity and mortality and its etiopathogenesis includes genetic, epigenetic, microbiota composition, and environmental factors, such as dietary habits. The olfactory system plays an important role in controlling food intake and meal size, influencing body weight and energy balance. This study aims to identify the connection between olfactory function and clinical and nutritional aspects related to weight excess in a group of 68 patients with overweight or obesity. All participants underwent the evaluation of olfactory function, anthropometric data (weight, height, BMI, waist circumference), clinical data (hypertension, disglycemia, dyslipidemia, metabolic syndrome), and adherence to the Mediterranean diet (Mediterranean Diet Score). A fourth-generation artificial neural network data mining approach was used to uncover trends and subtle associations between variables. Olfactory tests showed that 65% of patients presented hyposmia. A negative correlation was found between olfactory scores and systolic blood pressure, fasting plasma glucose, and triglycerides levels, but a positive correlation was found between olfactory scores and the Mediterranean diet score. The methodology of artificial neural networks and the semantic connectivity map "Auto-Contractive Map" highlighted the underlying scheme of the connections between the variables considered. In particular, hyposmia was linked to obesity and related metabolic alterations and the male sex. The female sex was connected with normosmia, higher adherence to the Mediterranean diet, and normal values of blood pressure, lipids, and glucose levels. These results highlight an inverse correlation between olfactory skills and BMI and show that a normosmic condition, probably because of greater adherence to the Mediterranean diet, seems to protect not only from an excessive increase in body weight but also from associated pathological conditions such as hypertension and metabolic syndrome.

Indexed as

body weightdata miningdietfeeding behaviourmachine learningMediterraneanmetabolismnutritionolfactionoverweightSniffin’ Sticks

Identifiers

PMID36837824
PMCPMC9959568
OpenAlexW4318483423

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.