Evidence map›Paper›PMID 29109861›Full record

ArticleBiomedical reports2017

Association of smoking with prevalence of common diseases and metabolic abnormalities in community-dwelling Japanese individuals.

Chikara Ueyama, Hideki Horibe, Yuichiro Yamase, Tetsuo Fujimaki, Mitsutoshi Oguri, Kimihiko Kato, Yoshiji Yamada

Abstract read
In one paragraph

Article in Biomedical reports, 2017. 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

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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.

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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

7 authors.

Chikara UeyamaDepartment of Cardiovascular Medicine, Gifu Prefectural Tajimi Hospital, Tajimi 507-8522, Japan.
Hideki HoribeDepartment of Cardiovascular Medicine, Gifu Prefectural Tajimi Hospital, Tajimi 507-8522, Japan.
Yuichiro YamaseDepartment of Cardiovascular Medicine, Gifu Prefectural Tajimi Hospital, Tajimi 507-8522, Japan.
Tetsuo FujimakiDepartment of Cardiovascular Medicine, Inabe General Hospital, Inabe 511-0428, Japan.
Mitsutoshi OguriDepartment of Cardiology, Kasugai Municipal Hospital, Kasugai 486-8510, Japan.
Kimihiko KatoDepartment of Internal Medicine, Meitoh Hospital, Nagoya 465-0025, Japan.
Yoshiji YamadaDepartment of Human Functional Genomics, Advanced Science Research Promotion Center, Mie University, Tsu 514-8507, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Smoking is a significant risk factor for cardiovascular diseases (CVDs). Given that certain common pathologies, including hypertension, dyslipidemia and type 2 diabetes mellitus, are major risk factors for CVDs, the association of smoking with CVDs may be attributable, at least in part, to its effects on common diseases. The aim of the present study was to determine the association of smoking with the prevalence of common diseases and metabolic abnormalities in community-dwelling Japanese individuals. The study included 5,959 subjects (1,302 current smokers, 1,418 past smokers and 3,239 nonsmokers) recruited to the Inabe Health and Longevity Study, a longitudinal genetic epidemiological study of atherosclerotic, cardiovascular and metabolic diseases. Various metabolic parameters and prevalence of common diseases were compared between smokers and nonsmokers using multivariable regression or logistic regression analysis with adjustments for age. Analysis indicated significantly higher serum concentrations of triglycerides and lower concentrations of high-density lipoprotein (HDL)-cholesterol in current smokers compared with nonsmokers in men and women. Serum concentrations of creatinine and systolic blood pressure were significantly lower and estimated glomerular filtration rate was higher in male current smokers. In addition, body weight was higher in female current smokers. In multivariable logistic regression analysis, smoking was significantly associated with the prevalence of dyslipidemia [P=6.3×10

Indexed as

common diseasemetabolic parameterssmoking

Identifiers

PMID29109861
PMCPMC5663979

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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.