Evidence map›Paper›PMID 39598250›Full record

ArticleLife (Basel, Switzerland)2024

Lipid Accumulation Product and Cardiometabolic Index as Effective Tools for the Identification of Athletes at Risk for Metabolic Syndrome.

Giuseppe Di Gioia, Armando Ferrera, Mihail Celeski, Raffaella Mistrulli, Erika Lemme, Federica Mango, Maria Rosaria Squeo, Antonio Pelliccia

Abstract read
In one paragraph

Article in Life (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. 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

8 authors.

Giuseppe Di GioiaInstitute of Medicine and Sport Science, National Italian Olympic Committee, Largo Piero Gabrielli, 1, 00197 Rome, Italy.ORCID 0000-0002-9158-5440
Armando FerreraInstitute of Medicine and Sport Science, National Italian Olympic Committee, Largo Piero Gabrielli, 1, 00197 Rome, Italy.ORCID 0000-0002-7291-2450
Mihail CeleskiDepartment of Cardiovascular Sciences, Fondazione Policlinico Universitario Campus Bio-Medico, Via Alvaro del Portillo, 200, 00128 Rome, Italy.ORCID 0000-0002-6374-1821
Raffaella MistrulliClinical and Molecular Medicine Department, Sapienza University of Rome, 00198 Rome, Italy.
Erika LemmeInstitute of Medicine and Sport Science, National Italian Olympic Committee, Largo Piero Gabrielli, 1, 00197 Rome, Italy.
Federica MangoInstitute of Medicine and Sport Science, National Italian Olympic Committee, Largo Piero Gabrielli, 1, 00197 Rome, Italy.ORCID 0000-0001-5895-9191
Maria Rosaria SqueoInstitute of Medicine and Sport Science, National Italian Olympic Committee, Largo Piero Gabrielli, 1, 00197 Rome, Italy.
Antonio PellicciaInstitute of Medicine and Sport Science, National Italian Olympic Committee, Largo Piero Gabrielli, 1, 00197 Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionMetabolic syndrome (MS) is a growing global public health concern that is associated with increased risk for cardiovascular events, even in athletes. The lipid accumulation product (LAP) index and cardiometabolic index (CMI) have been shown to be efficient markers of MS in the general population; its applicability in athletes has not been discussed yet. We aimed to assess the role of LAP and CMI in predicting MS in athletes.

methodsWe retrospectively enrolled 793 Olympic athletes practicing different sporting disciplines (power, skill, endurance, and mixed), classified arbitrarily into no risk (NR), low risk (LR), high risk (HR), or MS if they had 0, 1, 2, or 3 criteria for MS, respectively. Evaluations included a calculation of the LAP index, CMI, anthropometric measurements, and clinical and laboratorial variables.

resultsAmong our population, only 0.8% reached the criteria for MS, 9.1% were at HR for MS, 37.8% were defined as LR, and 52.3% had NR. Significant differences in anthropometric parameters and the principal components of MS criteria (blood pressure, lipidic profile, glycemia) were reported predominantly in HR athletes and those with MS (

conclusionThe ROC curve analyses of LAP and CMI showed good diagnostic accuracy in predicting MS among athletes, despite the low prevalence of MS in our sample. Thus, these indexes may be used to promote screening for primary prevention and early detection of athletes at risk for MS to establish an early prevention strategy. Larger prospective studies are necessary to validate their benefit in the general population.

Indexed as

athletescardiometabolic indexcardiovascular diseaselipid accumulation productmetabolic syndromeOlympics

Identifiers

PMID39598250
PMCPMC11595594

What Socratic 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 Socratic graph.