In one paragraphSynthesis in Nutrients, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from itWhat 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 registryThe 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 literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
19 authors.
Nieves López-LagunaDepartment of Preventive Medicine and Public Health, School of Medicine, Navarra Institute for Health Research (IdiSNA), University of Navarra, 31008 Pamplona, Spain.ORCID 0000-0002-2092-0360 Estefanía ToledoDepartment of Preventive Medicine and Public Health, School of Medicine, Navarra Institute for Health Research (IdiSNA), University of Navarra, 31008 Pamplona, Spain.ORCID 0000-0002-6263-4434 María S HersheyDepartment of Preventive Medicine and Public Health, School of Medicine, Navarra Institute for Health Research (IdiSNA), University of Navarra, 31008 Pamplona, Spain.ORCID 0000-0002-8690-8567 Nancy BabioCIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain.ORCID 0000-0003-3527-5277 José V SorlíCIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain.ORCID 0000-0002-0130-2006 Emilio RosCIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain.
Miguel Ángel MuñozInstituto de Investigación en Atención Primaria Idiap Jordi Gol, 08002 Barcelona, Spain.ORCID 0000-0002-4083-3248 Ramón EstruchCIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain.
José LapetraCIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain.ORCID 0000-0002-3873-5737 Carlos Muñoz-BravoDepartment of Public Health and Psychiatry, University of Malaga, 29015 Malaga, Spain.ORCID 0000-0002-9949-8691 Miquel FiolCIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain.
Inmaculada Bautista-CastañoCIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain.ORCID 0000-0001-9257-8739 Xavier PintoCIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain.ORCID 0000-0002-2216-2444 Carolina Ortega-AzorínCIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain.ORCID 0000-0001-6719-9358 Javier Hernando-RedondoCIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain.ORCID 0000-0002-6777-1649 Jordi Salas-SalvadóCIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain.ORCID 0000-0003-2700-7459 Lucas Tojal-SierraCIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain.ORCID 0000-0001-5338-9601 Miguel A Martínez-GonzálezDepartment of Preventive Medicine and Public Health, School of Medicine, Navarra Institute for Health Research (IdiSNA), University of Navarra, 31008 Pamplona, Spain.ORCID 0000-0002-3917-9808 Miguel Ruiz-CanelaDepartment of Preventive Medicine and Public Health, School of Medicine, Navarra Institute for Health Research (IdiSNA), University of Navarra, 31008 Pamplona, Spain.ORCID 0000-0002-7684-2787 Funding
Instituto de Salud Carlos III RTIC G03/140 (Coordinator: Dr Estruch) and RTIC RD 06/0045 (Coordinator: Dr Martínez-González).
6 · The paper itselfAbstract
backgroundPeripheral artery disease (PAD) is a major vascular condition often overlooked in prevention strategies. We aimed to evaluate the association between cardiovascular health, measured by Life's Simple 7 (LS7), and the risk of PAD in a high-risk Mediterranean population.
methodsThis prospective analysis included 7122 participants from the PREDIMED study (Prevención con Dieta Mediterránea) at high cardiovascular risk but free of cardiovascular disease at baseline. LS7 scores (0-14 points) were calculated using seven metrics: smoking status, body mass index, physical activity, blood pressure, total cholesterol, glucose metabolism, and adherence to the Mediterranean diet. Participants were categorized into inadequate (0-5), average (6-8), and optimal (9-14) cardiovascular health. Multivariable Cox regression models and Nelson-Aalen curves assessed the association between LS7 and PAD incidence over a median 4.8-year follow-up. A meta-analysis combining these results with three prior studies was also performed.
resultsA total of 87 incident PAD cases were identified. Compared to participants with inadequate cardiovascular health, those with average and optimal LS7 scores exhibited significantly lower PAD risk (adjusted hazard ratio [HR] 0.37; 95% confidence interval [CI]: 0.22-0.61, and HR 0.25; 95% CI: 0.10-0.65, respectively). Each one-point increase in the LS7 score (range 0 to 14) was associated with an 22% lower PAD risk (HR 0.78; 95% CI: 0.68-0.90). The meta-analysis yielded a pooled HR of 0.81 (95% CI: 0.76-0.87), confirming consistent inverse associations across populations.
conclusionsGreater adherence to LS7 metrics is associated with a significantly reduced risk of PAD in high-risk Mediterranean individuals. Promoting LS7 adherence may represent an effective strategy for preventing both cardiovascular disease and PAD.
Indexed as
Peripheral Arterial DiseaseAgedBlood PressureBody Mass IndexDiet, MediterraneanExerciseFemaleHeart Disease Risk FactorsHumansIncidenceMaleMiddle AgedProportional Hazards ModelsProspective StudiesRisk Factorscardiovascular healthLife’s Simple 7Mediterranean dietperipheral artery diseasePREDIMED studyprevention
Identifiers
PMID40647164
PMCPMC12250859
What Socratic holds
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LicenceCC BY
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