Evidence map›Paper›PMID 40944289›Full record

ArticleNutrients2025

Association of Chrono-Nutritional Profiles with Weight Loss and Comorbidity Remission After Bariatric Surgery in Patients with Severe Obesity.

Silvia Bettini, Enrico Carraro, Anna Pilatone, Sami Schiff, Paolo Girardi, Matteo D'Angelo, Anxhela Begolli, Fatemeh Mansouri, Saba Toosinezhad, Sara Sandri and 5 more

Abstract read
In one paragraph

Article in Nutrients, 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

15 authors.

Silvia BettiniCentre for the Study and the Integrated Treatment of Obesity, Department of Medicine, Padova University Hospital, 35128 Padova, Italy.ORCID 0000-0001-8596-8237
Enrico CarraroDepartment of Statistical Sciences, University of Padova, 35121 Padova, Italy.ORCID 0009-0004-6089-607X
Anna PilatoneCentre for the Study and the Integrated Treatment of Obesity, Department of Medicine, Padova University Hospital, 35128 Padova, Italy.
Sami SchiffCentre for the Study and the Integrated Treatment of Obesity, Department of Medicine, Padova University Hospital, 35128 Padova, Italy.ORCID 0000-0003-1851-4299
Paolo GirardiDepartment of Environmental Sciences, Informatics and Statistics, Ca' Foscari University of Venice, 30172 Venezia, Italy.ORCID 0000-0001-8330-9414
Matteo D'AngeloCentre for the Study and the Integrated Treatment of Obesity, Department of Medicine, Padova University Hospital, 35128 Padova, Italy.ORCID 0009-0000-1180-0183
Anxhela BegolliCentre for the Study and the Integrated Treatment of Obesity, Department of Medicine, Padova University Hospital, 35128 Padova, Italy.
Fatemeh MansouriCentre for the Study and the Integrated Treatment of Obesity, Department of Medicine, Padova University Hospital, 35128 Padova, Italy.ORCID 0009-0004-7844-0046
Saba ToosinezhadCentre for the Study and the Integrated Treatment of Obesity, Department of Medicine, Padova University Hospital, 35128 Padova, Italy.
Sara SandriCentre for the Study and the Integrated Treatment of Obesity, Department of Medicine, Padova University Hospital, 35128 Padova, Italy.
Beatrice GusellaCentre for the Study and the Integrated Treatment of Obesity, Department of Medicine, Padova University Hospital, 35128 Padova, Italy.
Gabriella MilanCentre for the Study and the Integrated Treatment of Obesity, Department of Medicine, Padova University Hospital, 35128 Padova, Italy.ORCID 0000-0001-8987-5310
Mirto FolettoCentre for the Study and the Integrated Treatment of Obesity, Department of Medicine, Padova University Hospital, 35128 Padova, Italy.ORCID 0000-0001-6594-4852
Paola FiorettoCentre for the Study and the Integrated Treatment of Obesity, Department of Medicine, Padova University Hospital, 35128 Padova, Italy.
Luca BusettoCentre for the Study and the Integrated Treatment of Obesity, Department of Medicine, Padova University Hospital, 35128 Padova, Italy.ORCID 0000-0003-4883-8980

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

objectivesA disruption of eating habits is related to obesity and obesity-related complications (ORCs), including diabetes and cardiovascular disease. We previously described chrono-nutritional profiles considering the eating habits of patients with severe obesity during the 24 h cycle. Our present study aims to determine, first, whether belonging to a specific eating profile is associated with greater or lesser weight loss in patients with obesity who have undergone bariatric surgery, and second, whether chrono-nutritional profiles are associated with the remission of ORCs after surgery. We also investigated whether there were differences between the original baseline profile and the new profile derived from the 24 h recall on dietary patterns.

methodsThe study included 75 patients with obesity who had undergone bariatric surgery and were followed up for a period of 36 ± 11 months. Data were collected from patients' medical records and telephone interviews. R software (v4.4.0; R Core Team, 2024) was used.

resultsSignificant weight loss from baseline was observed at follow-up for all profiles (

conclusionsChrono-nutritional profiles may play a role in weight regulation in patients with severe obesity who are candidates for bariatric surgery. Further studies with a larger sample size are needed.

Indexed as

Bariatric SurgeryFeeding BehaviorNutritional StatusObesity, MorbidWeight LossAdultComorbidityFemaleHumansMaleMiddle AgedRemission InductionTreatment Outcomebariatric surgerychrono-nutritionobesityphysical and mental healthpsychological parameters

Identifiers

PMID40944289
PMCPMC12430155

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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.