ArticleAmerican journal of epidemiology2012
Clinically relevant measures of fit? A note of caution.
Article in American journal of epidemiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 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
24 citing papers in PubMed.
- Complex signals bioinformatics: evaluation of heart rate characteristics monitoring as a novel risk marker for neonatal sepsis.Journal of clinical monitoring and computing · 2014Trial
- Metabolomic Biomarkers Are Independently Associated With Secondary Adverse Cardiovascular Events in Patients With Coronary Artery Disease.Journal of the American Heart Association · 2025Article
- Artificial Intelligence-Enabled Prediction of Heart Failure Risk From Single-Lead Electrocardiograms.JAMA cardiology · 2025Article
- Artificial Intelligence Enabled Prediction of Heart Failure Risk from Single-lead Electrocardiograms.medRxiv : the preprint server for health sciences · 2024Article
- Review
- Cohen's Kappa Coefficient as a Measure to Assess Classification Improvement following the Addition of a New Marker to a Regression Model.International journal of environmental research and public health · 2022Article
- Association of Body Shape Index (ABSI) with Hand Grip Strength.International journal of environmental research and public health · 2020Article
- Early pregnancy prediction of gestational diabetes mellitus risk using prenatal screening biomarkers in nulliparous women.Diabetes research and clinical practice · 2020Article
- Single Measurements of Carboxy-Terminal Fibroblast Growth Factor 23 and Clinical Risk Prediction of Adverse Outcomes in CKD.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2019Article
- Application of net reclassification index to non-nested and point-based risk prediction models: a review.European heart journal · 2019Review
- Predicting Adherence to Chronic Disease Medications in Patients with Long-term Initial Medication Fills Using Indicators of Clinical Events and Health Behaviors.Journal of managed care & specialty pharmacy · 2018Article
- "Trending" statistical methods.Research and practice in thrombosis and haemostasis · 2018Article
- Simpson's paradox in the integrated discrimination improvement.Statistics in medicine · 2017Article
- Distinguishing bipolar from unipolar depression: the importance of clinical symptoms and illness features.Psychological medicine · 2015Article
- Tailoring the implementation of new biomarkers based on their added predictive value in subgroups of individuals.PloS one · 2015Article
- Observational
- Comparison of lifestyle-based and traditional cardiovascular disease prediction in a multiethnic cohort of nonsmoking women.Circulation · 2014Observational
- Cardiovascular disease risk prediction in women: is there a role for novel biomarkers?Clinical chemistry · 2014Review
- Association of novel biomarkers of cardiovascular stress with left ventricular hypertrophy and dysfunction: implications for screening.Journal of the American Heart Association · 2013Article
- Novel genetic markers improve measures of atrial fibrillation risk prediction.European heart journal · 2013Article
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Abstract
Risk reclassification methods have become popular in the medical literature as a means of comparing risk prediction models. In this issue of the Journal, Pencina et al. (Am J Epidemiol. 2012;176(6):492-494) present further results for continuous measures of model discrimination and describe their characteristics in nested models with normally distributed variables. Measures include the change in the area under the receiver operating characteristic curve, the integrated discrimination improvement, and the continuous net reclassification improvement. Although theoretically interesting, these continuous measures may not be the most appropriate to assess clinical utility. The continuous net reclassification improvement, in particular, is a measure of effect rather than model improvement and can sometimes exhibit erratic behavior, as illustrated in 2 examples. Caution is needed before using this as a measure of improvement. Further, the test of the continuous net reclassification improvement and that for the integrated discrimination improvement are similar to the likelihood ratio test in nested models and may be overinterpreted. Reclassification in risk strata, while requiring thresholds, may be more relevant clinically with its ability to examine potential changes in treatment decisions.
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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.