ReviewCirculation research2016
Statistical Methods for Cardiovascular Researchers.
Review in Circulation research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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
15 citing papers in PubMed.
- Optimized Detection of Left Ventricular Hyperpolarized [1-Magnetic resonance in medicine · 2026Article
- Visualizing heterogeneous associations: economic capital and adolescent football participation in China: a cross-sectional study using quantile regression with school-level fixed effects.Frontiers in psychology · 2026Article
- Mindfulness-Based Interventions for Patients with Cardiovascular Disease: A Focused Review for Practicing Clinicians.Current cardiology reports · 2023Review
- Assessing the cardiac autonomic response to bicycle exercise in Olympic athletes with different loads of endurance training: new insights from statistical indicators based on multilevel exploratory factor analysis.Frontiers in physiology · 2023Article
- Increased modifiable cardiovascular risk factors in patients with Takayasu arteritis: a multicenter cross-sectional study.Advances in rheumatology (London, England) · 2021Article
- Nuclear Activation Function 2 Estrogen Receptor α Attenuates Arterial and Renal Alterations Due to Aging and Hypertension in Female Mice.Journal of the American Heart Association · 2020Article
- Phase Space Reconstruction Based CVD Classifier Using Localized Features.Scientific reports · 2019Article
- Association between Neutrophil-Lymphocyte and Platelet-Lymphocyte Ratios and Coronary Artery Calcification Score among Asymptomatic Patients: Data from a Cross-Sectional Study.Mediators of inflammation · 2019Article
- Soluble CD74 Reroutes MIF/CXCR4/AKT-Mediated Survival of Cardiac Myofibroblasts to Necroptosis.Journal of the American Heart Association · 2018Article
- Metabolic Biomarkers of Ageing in C57BL/6J Wild-Type and Flavin-Containing Monooxygenase 5 (FMO5)-Knockout Mice.Frontiers in molecular biosciences · 2018Article
- Understanding the true significance of a P value.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2017Article
- Nitrosative Stress-Induced Disruption of Baroreflex Neural Circuits in a Rat Model of Hepatic Encephalopathy: A DTI Study.Scientific reports · 2017Article
- A Systematic Review of the Quality of IV Fluid Therapy in Veterinary Medicine.Frontiers in veterinary science · 2017Article
- Pseudohyperglycaemia in a comatose patient after picking cherries.BMJ case reports · 2016Article
- Precision medicine in cardiology.Nature reviews. Cardiology · 2016Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
Abstract
rationaleBiostatistics continues to play an essential role in contemporary cardiovascular investigations, but successful implementation of biostatistical methods can be complex.
objectiveTo present the rationale behind statistical applications and to review useful tools for cardiology research. METHODS AND
resultsProspective declaration of the research question, clear methodology, and study execution that adheres to the protocol together and serve as the critical foundation of a research endeavor. Both parametric and distribution-free measures of central tendency and dispersion are presented. T testing, ANOVA, and regression analyses are reviewed. Survival analysis, logistic regression, and interim monitoring are also discussed. Finally, common weaknesses in statistical analyses are considered.
conclusionsBiostatistics can be productively applied to cardiovascular research if investigators (1) develop and rely on a well-written protocol and analysis plan, (2) consult with a biostatistician when necessary, and (3) write results clearly, differentiating confirmatory from exploratory findings.
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.