ArticleInternational journal of endocrinology and metabolism2016
Survival Regression Modeling Strategies in CVD Prediction.
Article in International journal of endocrinology and metabolism, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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
7 citing papers in PubMed.
- Higher ultra-processed food intake is associated with an increased incidence risk of cardiovascular disease: the Tehran lipid and glucose study.Nutrition & metabolism · 2024Article
- Dietary sodium to potassium ratio is an independent predictor of cardiovascular events: a longitudinal follow-up study.BMC public health · 2023Article
- Dietary oxalate to calcium ratio and incident cardiovascular events: a 10-year follow-up among an Asian population.Nutrition journal · 2022Article
- The association between dietary glycemic and insulin indices with incidence of cardiovascular disease: Tehran lipid and glucose study.BMC public health · 2020Article
- Using health-related quality of life to predict cardiovascular disease events.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2019Article
- Dietary Sodium to Potassium Ratio and the Incidence of Chronic Kidney Disease in Adults: A Longitudinal Follow-Up Study.Preventive nutrition and food science · 2018Article
- Longitudinal Associations of High-Fructose Diet with Cardiovascular Events and Potential Risk Factors: Tehran Lipid and Glucose Study.Nutrients · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundA fundamental part of prevention is prediction. Potential predictors are the sine qua non of prediction models. However, whether incorporating novel predictors to prediction models could be directly translated to added predictive value remains an area of dispute. The difference between the predictive power of a predictive model with (enhanced model) and without (baseline model) a certain predictor is generally regarded as an indicator of the predictive value added by that predictor. Indices such as discrimination and calibration have long been used in this regard. Recently, the use of added predictive value has been suggested while comparing the predictive performances of the predictive models with and without novel biomarkers.
objectivesUser-friendly statistical software capable of implementing novel statistical procedures is conspicuously lacking. This shortcoming has restricted implementation of such novel model assessment methods. We aimed to construct Stata commands to help researchers obtain the aforementioned statistical indices. MATERIALS AND
methodsWe have written Stata commands that are intended to help researchers obtain the following. 1, Nam-D'Agostino X
resultsThe command is adpredsurv for survival models.
conclusionsHerein we have described the Stata package "adpredsurv" for calculation of the Nam-D'Agostino X
Indexed as
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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.