Observational studyInternal and emergency medicine2016
Effect of smoking status on coronary artery disease among Chinese post-menopausal women.
Observational study in Internal and emergency medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.
- Smoking cessation for secondary prevention of cardiovascular disease.The Cochrane database of systematic reviews · 2022Pooled it
- Spatial Epidemiology of the Ischemic Heart Disease-Asthma Comorbidity: A Global Analysis of Burden Patterns, Risk Drivers, and a Composite Risk Index.Risk management and healthcare policy · 2026Article
- Association of Baseline Smoking Status with Long-Term Prognosis in Patients Who Underwent Percutaneous Coronary Intervention: Large Single-Center Data.Journal of interventional cardiology · 2019Article
- Hazelnut-enriched chocolate improves flow-mediated artery dilatation via inhibition of oxidative stress.Internal and emergency medicine · 2018Article
- Smoking cessation: Adherence based on patients' illness perception after coronary artery bypass grafting surgery.Indian heart journal · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Smoking is a prominent risk factor of cardiovascular diseases. The occurrence of myocardial infarction and mortality in smokers with cardiovascular diseases is several times higher than that in non-smokers. Smoking is associated with gender-independent enhanced mortality. We determined the effect of smoking status on coronary artery disease (CAD) and coronary computed tomography angiography (CCTA) in Chinese post-menopausal women. Among these patients, those with significant CAD (≥50 % luminal narrowing) were further classified into one-, two-, or three-vessel disease according to CCTA results. The following events were recorded: all-cause mortality, non-fatal infarction and unstable angina. 2332 patients evaluated with CCTA included 1668 never smokers (71.5 %), 475 former smokers (20.4 %), and 189 current smokers (8.1 %). The current smokers exhibit greater luminal narrowing as observed on CCTA (p < 0.001) than the other subjects. During the median 685 ± 269.8 days follow-up period, never-smoking women have a low incidence of events, whereas former and current smokers are associated with an increased incidence of such event (p < 0.001). Furthermore, current smoking and the presence of multiple-vessel disease on CCTA are independently associated with the events in the logistic regression analysis. Smoking status is related to significant CAD and luminal narrowing on CCTA in the Chinese post-menopausal smoking women. In addition, current smoking and the presence of multiple-vessel disease on CCTA can independently predict events of all-cause mortality, non-fatal infarction or unstable angina.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.