Evidence map›Paper›PMID 29073236›Full record

ArticlePloS one2017

Prevalence of peripheral artery disease (PAD) and factors associated: An epidemiological analysis from the population-based Screening PRE-diabetes and type 2 DIAbetes (SPREDIA-2) study.

V Cornejo Del Río, J Mostaza, C Lahoz, V Sánchez-Arroyo, C Sabín, S López, P Patrón, P Fernández-García, B Fernández-Puntero, D Vicent and 11 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 4 pooled it
7.4field-weighted citation impact, top 2% 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

28 citing papers in PubMed, 4 syntheses or guidelines pooled it, 60 citations in OpenAlex.

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  10. Justification of Screening for Peripheral Arterial Disease in the Elderly Population Through Clinical and Financial Cost-benefit Analysis.Acta informatica medica : AIM : journal of the Society for Medical Informatics of Bosnia & Herzegovina : casopis Drustva za medicinsku informatiku BiH · 2025
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  18. Integrating Mechanisms in Thrombotic Peripheral Arterial Disease.Pharmaceuticals (Basel, Switzerland) · 2022
    Review
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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

21 authors at 6 institutions in 1 country.

V Cornejo Del RíoHospital Carlos III, Madrid, Spain.
J MostazaHospital Carlos III, Madrid, Spain.
C LahozHospital Carlos III, Madrid, Spain.
V Sánchez-ArroyoHospital Carlos III, Madrid, Spain.
C SabínHospital Carlos III, Madrid, Spain.
S LópezHospital Carlos III, Madrid, Spain.
P PatrónHospital Carlos III, Madrid, Spain.
P Fernández-GarcíaHospital Carlos III, Madrid, Spain.
B Fernández-PunteroHospital Carlos III, Madrid, Spain.
D VicentHospital Carlos III, Madrid, Spain.
L Montesano-SánchezHospital de Fuenlabrada, Madrid, Spain.
F García-IglesiasHospital Carlos III, Madrid, Spain.
T González-AlegreHospital Carlos III, Madrid, Spain.
E EstiradoHospital Carlos III, Madrid, Spain.
F LagunaHospital Carlos III, Madrid, Spain.
C de Burgos-LunarDirección General de Salud Pública, Subdirección de Promoción, Prevención y Educación de la Salud, Consejería de Sanidad, Madrid, Spain.
P Gómez-CampeloInstituto de Investigación Sanitaria del Hospital Universitario La Paz (IdiPAZ), Madrid, Spain.
J C Abanades-HerranzCentro de Salud Monóvar, Madrid, Spain.
J M de Miguel-YanesHospital Gregorio Marañón, Madrid, Spain.
M A Salinero-FortRed de Investigación en servicios de salud en enfermedades crónicas (REDISSEC), Madrid, Spain.
on behalf SPREDIA-2 Group
Hospital Clínico San Carlos · ESCentro de Investigación Biomédica en Red · ESComunidad de Madrid · ESHospital General Universitario Gregorio Marañón · ESHospital La Paz Institute for Health Research · ESHospital Universitario de Fuenlabrada · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo describe the prevalence of Peripheral Artery Disease (PAD) in a random population sample and to evaluate its relationship with Mediterranean diet and with other potential cardiovascular risk factors such as serum uric acid and pulse pressure in individuals ranged 45 to 74 years.

methodsCross-sectional analysis of 1568 subjects (mean age 6.5 years, 43% males), randomly selected from the population. A fasting blood sample was obtained to determine glucose, lipids, and HbA1C levels. An oral glucose tolerance test was performed in non-diabetic subjects. PAD was evaluated by ankle-brachial index and/or having a prior diagnosis.

resultsPAD prevalence was 3.81% (95% CI, 2.97-4.87) for all participants. In men, PAD prevalence was significantly higher than in women [5.17% (95% CI, 3.74-7.11) vs. 2.78% (95% CI, 1.89-4.07); p = 0.014]. Serum uric acid in the upper quartile was associated with the highest odds ratio (OR) of PAD (for uric acid > 6.1 mg/dl, OR = 4.31; 95% CI, 1.49-12.44). The remaining variables more strongly associated with PAD were: Heart rate >90 bpm (OR = 4.16; 95%CI, 1.62-10.65), pulse pressure in the upper quartile (≥ 54 mmHg) (OR = 3.82; 95%CI, 1.50-9.71), adherence to Mediterranean diet (OR = 2.73; 95% CI, 1.48-5.04), and former smoker status (OR = 2.04; 95%CI, 1.00-4.16).

conclusionsOur results show the existence of a low prevalence of peripheral artery disease in a population aged 45-74 years. Serum uric acid, pulse pressure and heart rate >90 bpm were strongly associated with peripheral artery disease. The direct association between Mediterranean diet and peripheral artery disease that we have found should be evaluated through a follow-up study under clinical practice conditions.

Indexed as

AgedDiabetes Mellitus, Type 2FemaleHumansMaleMiddle AgedPeripheral Arterial DiseasePrediabetic State

Identifiers

PMID29073236
PMCPMC5657631
OpenAlexW2765156911

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.