Evidence map›Paper›PMID 38674801›Full record

Observational studyNutrients2024

Evidence That Skeletal Muscles Modulate HDL-Cholesterol in Metabolic Healthy Young Adults.

Maria Serena Lonardo, Bruna Guida, Nunzia Cacciapuoti, Martina Chiurazzi, Daniela Pacella, Mauro Cataldi

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Nutrients, 2024. 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
2.0field-weighted citation impact, top 14% 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, 6 citations in OpenAlex.

  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

6 authors at 1 institution in 1 country.

Maria Serena LonardoPhysiology Nutrition Unit, Department of Clinical Medicine and Surgery, Federico II University of Naples, 80131 Naples, Italy.ORCID 0000-0002-3768-4480
Bruna GuidaPhysiology Nutrition Unit, Department of Clinical Medicine and Surgery, Federico II University of Naples, 80131 Naples, Italy.
Nunzia CacciapuotiPhysiology Nutrition Unit, Department of Clinical Medicine and Surgery, Federico II University of Naples, 80131 Naples, Italy.ORCID 0000-0002-3595-3245
Martina ChiurazziPhysiology Nutrition Unit, Department of Clinical Medicine and Surgery, Federico II University of Naples, 80131 Naples, Italy.
Daniela PacellaDepartment of Public Health, Federico II University of Naples, 80131 Naples, Italy.ORCID 0000-0003-2343-5069
Mauro CataldiDivision of Pharmacology, Department of Neuroscience, Reproductive Sciences and Dentistry, Federico II University of Naples, 80131 Naples, Italy.ORCID 0000-0001-7787-3406
University of Naples Federico II · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study was to investigate whether skeletal muscle (SM) mass correlates with plasma lipids in metabolic healthy young adults. The study was designed as a retrospective observational monocentric study. Data on plasma lipids and SM mass of subjects attending our institution from 1999 to 2014 were analyzed. Inclusion criteria were being 18-45 years old and in apparently good health. SM mass was evaluated by bioelectrical impedance analysis (BIA) using the equation proposed by Janssen and normalized to height as skeletal muscle index (SMI: SM mass/height

Indexed as

Cholesterol, HDLMuscle, SkeletalAdolescentAdultBody CompositionBody Mass IndexCholesterol, LDLElectric ImpedanceFemaleHumansMaleMiddle AgedObesityOverweightRetrospective StudiesTriglyceridesCholesterol, HDLCholesterol, LDLTriglyceridesHDL-cholesterollipid profilemetabolic healthy obesityskeletal muscle

Identifiers

PMID38674801
PMCPMC11054046
OpenAlexW4394683714

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.