Evidence map›Paper›PMID 27307718›Full record

ArticleClinical interventions in aging2016

Impact of cardiovascular risk factors on carotid intima-media thickness: sex differences.

Maria Łoboz-Rudnicka, Joanna Jaroch, Zbigniew Bociąga, Barbara Rzyczkowska, Izabella Uchmanowicz, Jacek Polański, Krzysztof Dudek, Andrzej Szuba, Krystyna Łoboz-Grudzień

Abstract read
In one paragraph

Article in Clinical interventions in aging, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

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

  1. Pooled it
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  10. Sex differences in vascular aging and impact of GPER deletion.American journal of physiology. Heart and circulatory physiology · 2022
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  13. Do individuals with autoimmune disease have increased risk of subclinical carotid atherosclerosis and stiffness?Hypertension research : official journal of the Japanese Society of Hypertension · 2021
    Article
  14. Hemodynamic characteristics and early warnings in very old patients.American journal of translational research · 2021
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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

9 authors.

Maria Łoboz-RudnickaDepartment of Cardiology, T. Marciniak Hospital, Wrocław, Poland.
Joanna JarochDepartment of Cardiology, T. Marciniak Hospital, Wrocław, Poland.
Zbigniew BociągaDepartment of Cardiology, T. Marciniak Hospital, Wrocław, Poland.
Barbara RzyczkowskaDepartment of Cardiology, T. Marciniak Hospital, Wrocław, Poland.
Izabella UchmanowiczPublic Health Department, Wrocław Medical University, Wrocław, Poland.
Jacek PolańskiPrivate Practice, Na Biskupinie, Wrocław, Poland.
Krzysztof DudekFaculty of Mechanical Engineering, Wrocław University of Technology, Wrocław, Poland.
Andrzej SzubaDivision of Angiology, Wrocław Medical University, Wrocław, Poland.
Krystyna Łoboz-GrudzieńPublic Health Department, Wrocław Medical University, Wrocław, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeThere has been growing interest in the sex-related differences in the impact of cardiovascular (CV) risk factors on carotid intima-media thickness (CIMT). Therefore, we aimed at examining the influence of CV risk factors on CIMT in men and women and identifying differences between males and females in the risk profiles affecting CIMT. PATIENTS AND

methodsThe study group consisted of 256 patients (mean age 54.7 years), including 134 females (52%), with the following CV risk factors: arterial hypertension, type 2 diabetes mellitus, dyslipidemia, nicotine addiction, overweight, and obesity. Subjects with the history of any overt CV disease were excluded. CIMT was measured through B-mode ultrasound examination of the right common carotid artery. In the analysis of CIMT values at different ages, the patients were divided into three age groups: 1) <45 years, 2) 45-60 years, and 3) >60 years. Regression analysis was used to examine the influence of CV risk factors on CIMT in men and women.

resultsCIMT increased with age in both men and women. Women had lower values of CIMT than men (0.54 mm vs 0.60 mm, P=0.011). The analysis in three age subgroups revealed that CIMT values were comparable in men and women in group 1 (0.48 mm vs 0.48 mm, P=0.861), but over the age of 45 years, CIMT values became significantly lower in women compared to men (group 2: 0.51 mm vs 0.63 mm, P=0.005; group 3: 0.63 mm vs 0.72 mm, P=0.020). Significant differences were observed between the sexes in terms of risk factor impact on CIMT. In men, only three factors significantly affected CIMT: age (b=+0.009, P<0.0001), hypertension (b=+0.067, P<0.05), and type 2 diabetes (b=+0.073, P<0.05). In women, apart from age (b=+0.008, P<0.0001) and type 2 diabetes (b=+0.111, P<0.01), significant factors were pulse pressure (PP; b=+0.005, P<0.0001), body mass index (b=+0.007, P<0.05), increased waist circumference (b=+0.092, P<0.01), and metabolic syndrome (b=+0.071, P<0.05). In the multiple regression analysis, independent CIMT determinants for the entire group were age (β=0.497, P<0.001) and body mass index (β=0.195, P=0.006). For males, age was the only independent determinant of CIMT (β=0.669, P<0.001). For females, these were PP (β=0.317, P=0.014), age (β=0.242, P=0.03), and increased waist circumference (β=0.207, P=0.048).

conclusionCIMT values are lower in women than in men, which is most pronounced over the age of 45 years. There are sex-related differences in the profile of CV risk factors affecting CIMT: in males, CIMT is mostly determined by age, while in females, by age, PP, and increased waist circumference.

Indexed as

Carotid Intima-Media ThicknessSex FactorsAdultAgedBlood PressureCarotid ArteriesCross-Sectional StudiesDiabetes Mellitus, Type 2FemaleHumansHypertensionLinear ModelsMaleMetabolic SyndromeMiddle AgedObesitycarotid intima media thicknessrisk factorssex differences

Identifiers

PMID27307718
PMCPMC4887056

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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.