Evidence map›Paper›PMID 38285309›Full record

ArticleJournal of endocrinological investigation2024

Correlates of metabolic syndrome in people with chronic spinal cord injury.

F Di Giulio, C Castellini, S Palazzi, D Tienforti, F Antolini, G Felzani, M Giorgio Baroni, A Barbonetti

Abstract read
In one paragraph

Article in Journal of endocrinological investigation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Review
  4. Experimental and therapeutic medicine · 2025
    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.

F Di GiulioAndrology Unit, Department of Clinical Medicine, Life, Health and Environmental Sciences, University of L'Aquila, 67100, Coppito, L'Aquila, Italy.
C CastelliniAndrology Unit, Department of Clinical Medicine, Life, Health and Environmental Sciences, University of L'Aquila, 67100, Coppito, L'Aquila, Italy.
S PalazziAndrology Unit, Department of Clinical Medicine, Life, Health and Environmental Sciences, University of L'Aquila, 67100, Coppito, L'Aquila, Italy.
D TienfortiAndrology Unit, Department of Clinical Medicine, Life, Health and Environmental Sciences, University of L'Aquila, 67100, Coppito, L'Aquila, Italy.
F AntoliniAndrology Unit, Department of Clinical Medicine, Life, Health and Environmental Sciences, University of L'Aquila, 67100, Coppito, L'Aquila, Italy.
G FelzaniSpinal Unit, San Raffaele Sulmona Institute, Sulmona, Italy.
M Giorgio BaroniAndrology Unit, Department of Clinical Medicine, Life, Health and Environmental Sciences, University of L'Aquila, 67100, Coppito, L'Aquila, Italy.
A BarbonettiAndrology Unit, Department of Clinical Medicine, Life, Health and Environmental Sciences, University of L'Aquila, 67100, Coppito, L'Aquila, Italy. arcangelo.barbonetti@univaq.it.ORCID http://orcid.org/0000-0002-6888-9585

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeWe aimed at identifying clinical risk factors or early markers of metabolic syndrome (MetS) in people with spinal cord injury (SCI) that would facilitate a timely diagnosis and implementation of preventive/therapeutic strategies.

methodsOne hundred sixty-eight individuals with chronic (> 1 year) SCI underwent clinical and biochemical evaluations. MetS was diagnosed according to modified criteria of the International Diabetes Federation validated in people with SCI. Wilcoxon rank-sum test and χ

resultsMetS was diagnosed in 56 of 132 men (42.4%) and 17 of 36 women (47.2%). At univariate regression analyses, putative predictors of MetS were an older age, a higher number of comorbidities, a lower insulin-sensitivity, the presence and intensity of pain, a shorter injury duration, a poorer leisure time physical activity (LTPA) and an incomplete motor injury. At the multiple logistic regression analysis, a significant independent association with MetS only persisted for a poorer LTPA in hours/week (OR: 0.880, 95% CI 0.770, 0.990) and more severe pain symptoms as assessed by the numeral rating scale (OR: 1.353, 95% CI 1.085, 1.793).

conclusionIn people with chronic SCI, intense pain symptoms and poor LTPA may indicate a high likelihood of MetS, regardless of age, SCI duration, motor disability degree, insulin-sensitivity and comorbidities.

Indexed as

Metabolic SyndromeSpinal Cord InjuriesAdultAgedChronic DiseaseCross-Sectional StudiesExerciseFemaleHumansMaleMiddle AgedRisk FactorsCardiovascular riskInsulin resistanceObesityPainParaplegiaPhysical activity

Identifiers

PMID38285309
PMCPMC11266227

What OpenQuestion holds

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Registered trials

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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.