Evidence map›Paper›PMID 36245515›Full record

ArticleFrontiers in nutrition2022

Very low calorie ketogenic diet combined with physical interval training for preserving muscle mass during weight loss in sarcopenic obesity: A pilot study.

Elisabetta Camajani, Alessandra Feraco, Stefania Proietti, Sabrina Basciani, Luigi Barrea, Andrea Armani, Mauro Lombardo, Lucio Gnessi, Massimiliano Caprio

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Frontiers in nutrition, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 17 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 4 pooled it
2.6field-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

17 citing papers in PubMed, 4 syntheses or guidelines pooled it, 23 citations in OpenAlex.

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  15. Sarcopenic obesity: emerging mechanisms and therapeutic potential.Metabolism: clinical and experimental · 2023
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 4 institutions in 2 countries.

Elisabetta CamajaniDepartment of Experimental Medicine, Sapienza University of Rome, Rome, Italy.
Alessandra FeracoDepartment of Human Sciences and Promotion of the Quality of Life, San Raffaele Roma Open University, Rome, Italy.
Stefania ProiettiUnit of Clinical and Molecular Epidemiology, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) San Raffaele, Rome, Italy.
Sabrina BascianiDepartment of Experimental Medicine, Sapienza University of Rome, Rome, Italy.
Luigi BarreaDipartimento di Scienze Umanistiche, Università Telematica Pegaso, Naples, Italy.
Andrea ArmaniDepartment of Human Sciences and Promotion of the Quality of Life, San Raffaele Roma Open University, Rome, Italy.
Mauro LombardoDepartment of Human Sciences and Promotion of the Quality of Life, San Raffaele Roma Open University, Rome, Italy.
Lucio GnessiDepartment of Experimental Medicine, Sapienza University of Rome, Rome, Italy.
Massimiliano CaprioDepartment of Human Sciences and Promotion of the Quality of Life, San Raffaele Roma Open University, Rome, Italy.
The Open University · GBIstituti di Ricovero e Cura a Carattere Scientifico · ITSapienza University of Rome · ITRegione Campania · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The prevalence of sarcopenic obesity (SO) is increasing worldwide, posing important challenges to public health and national health care system, especially during the COVID pandemic. In subjects with SO, it is essential to reduce body weight, and to preserve lean mass, to avoid worsening of muscle function. Adequate nutrition and correct physical activity is essential to counteract SO progression. Very Low Calorie Ketogenic Diet (VLCKD), a well-established nutritional intervention for obesity, has been also indicated for the treatment of SO. To date, the effects of physical training during VLCKD have not been investigated. Aim: This pilot study aims to determine the efficacy of VLCKD combined with interval training, compared to a VLCKD alone, on weight-loss, body composition, and physical performance in participants with SO. Materials and methods: Twenty-four participants with SO, aged between 50 and 70 years, who met the inclusion criteria, accepted to adhere to a VLCKD (<800 Kcal/die) and to give informed consent, were enrolled in the study. Twelve participants followed a structured VLCKD protocol (VLCKD group) and twelve followed the same VLCKD protocol combined with interval training (IT), twice per week (VLCKD + IT group). Data were collected at baseline (T0) and after 6-week of treatment (T6). Anthropometric indexes, body composition analysis by Bioelectrical Impedance Analysis (BIA), muscle strength and physical performance analysis were assessed at baseline and at the end of treatment. Results: At the end of the study, body mass index (BMI), body weight, waist circumference, and hip circumference were significantly reduced in both VLCKD group and VLCKD + IT group. Interestingly, a significant improvement in muscle strength and physical performance was observed in both groups. A multiple comparison of delta variations in all parameters between groups was performed. No differences were observed for the majority of anthropometric and biochemical parameters, with the exception of fat free mass (FFM) and fat mass (FM): notably, participants who followed a VLCKD combined with IT preserved FFM ( Conclusion: This pilot study confirms that VLCKD is effective in terms of body weight reduction, particularly FM; moreover, the combination of VLCKD and interval training could determine a better preservation of FFM.

Indexed as

fat free massfat massphysical activitysarcopeniaVLCKD

Identifiers

PMID36245515
PMCPMC9560671
OpenAlexW4304197498

What OpenQuestion holds

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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.