ArticleThe American journal of cardiology2018
Influence of Body Mass Index on Long-Term Survival After Cardiac Catheterization.
Article in The American journal of cardiology, 2018. 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.
- Mortality risk in patients with underweight or obesity with peripheral artery disease: a meta-analysis including 5,735,578 individuals.International journal of obesity (2005) · 2022Pooled it
- Strategies to investigate and mitigate collider bias in genetic and Mendelian randomisation studies of disease progression.PLoS genetics · 2023Review
- Assessment of appropriate body mass index cut-off points for long-term mortality among ST-elevation myocardial infarction survivors in Asian population using machine learning algorithm.Heart and vessels · 2022Article
- Decreased Appendicular Skeletal Muscle Mass is Associated with Poor Outcomes after ST-Segment Elevation Myocardial Infarction.Journal of atherosclerosis and thrombosis · 2020Observational
- Mendelian Randomization in Case Only Studies: A Promising Approach to be Applied With Caution.The American journal of cardiology · 2018Article
Corrections and comments
- Commented on by
- Commented on by
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We examined 18,654 patients who underwent cardiac catheterization in a single center to clarify the association between catheterization indication, body mass index (BMI), and long-term survival over a mean follow-up of 81 months. Patients were grouped by indication for catheterization: (a) acute coronary syndromes (ACS), 7,426 patients; (b) coronary artery disease (CAD) evaluation in stable clinical presentation, 6,911 patients; and (c) primarily non-CAD cardiac evaluations, 4,317 patients. Compared with normal weight, overweight and obesity (but not morbid obesity) was associated with lower risk of long-term mortality. Underweight patients had the greatest risk of mortality. After multivariate adjustment, survival benefit of the overweight and obese was retained in the ACS group [hazard ratio 0.86, 95% confidence interval (0.77-0.96), p = 0.006 and 0.79, (0.68-0.91), p = 0.001, respectively] and in overweight patients in the stable presentation CAD group [0.83, (0.72-0.94), p = 0.005], whereas there was no survival benefit in any of the BMI categories in those catheterized primarily for non-CAD indications. Further analysis of matched cohorts showed similar patterns of survival benefit of the overweight/obese. In conclusion, among patients who underwent cardiac catheterization, an inverse association between BMI and long-term mortality was observed, with the lowest risk noted in the overweight and obese population; the obesity paradox was principally demonstrated in patients with ACS, and was eliminated after covariate adjustment in those catheterized primarily for non-CAD indications.
Indexed as
Identifiers
29122277What 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.