Evidence map›Paper›PMID 32023287›Full record

ArticlePloS one2020

iCARE: An R package to build, validate and apply absolute risk models.

Parichoy Pal Choudhury, Paige Maas, Amber Wilcox, William Wheeler, Mark Brook, David Check, Montserrat Garcia-Closas, Nilanjan Chatterjee

Abstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers.

0numbers the graph read from it
0cells of the map it votes in
64citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

64 citing papers in PubMed.

  1. Article
  2. The Multiethnic Cohort: A Resource for the Study of Genetic and Nongenetic Cancer Risk across Populations.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026
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  11. Projecting individualized probabilities of lifetime all-cancer risk.medRxiv : the preprint server for health sciences · 2025
    Article
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  15. Observational
  16. Observational
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  18. Development of a Breast Cancer Risk Prediction Model Integrating Monogenic, Polygenic, and Epidemiologic Risk.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2024
    Article
  19. Article
  20. Article

4 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Parichoy Pal ChoudhuryDepartment of Biostatistics, The Johns Hopkins University, Baltimore, MD, United States of America.
Paige MaasDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, United States of America.
Amber WilcoxDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, United States of America.ORCID 0000-0001-7831-6660
William WheelerInformation Management Services, Silver Spring, MD, United States of America.
Mark BrookDivision of Genetics and Epidemiology, Institute of Cancer Research, London, United Kingdom.ORCID 0000-0002-8969-2378
David CheckDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, United States of America.
Montserrat Garcia-ClosasDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, United States of America.
Nilanjan ChatterjeeDepartment of Biostatistics, The Johns Hopkins University, Baltimore, MD, United States of America.ORCID 0000-0002-9060-008X

Funding

Cancer Control Education ProgramT32CA057726 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Melissa B Gilkey, Melissa A. Troester · 2017 to 2026
$3.7M
NCI NIH HHS T32 CA057726
6 · The paper itself

Abstract

This report describes an R package, called the Individualized Coherent Absolute Risk Estimator (iCARE) tool, that allows researchers to build and evaluate models for absolute risk and apply them to estimate an individual's risk of developing disease during a specified time interval based on a set of user defined input parameters. An attractive feature of the software is that it gives users flexibility to update models rapidly based on new knowledge on risk factors and tailor models to different populations by specifying three input arguments: a model for relative risk, an age-specific disease incidence rate and the distribution of risk factors for the population of interest. The tool can handle missing information on risk factors for individuals for whom risks are to be predicted using a coherent approach where all estimates are derived from a single model after appropriate model averaging. The software allows single nucleotide polymorphisms (SNPs) to be incorporated into the model using published odds ratios and allele frequencies. The validation component of the software implements the methods for evaluation of model calibration, discrimination and risk-stratification based on independent validation datasets. We provide an illustration of the utility of iCARE for building, validating and applying absolute risk models using breast cancer as an example.

Indexed as

SoftwareArea Under CurveBreast NeoplasmsFemaleGenome-Wide Association StudyHumansPolymorphism, Single NucleotideRisk FactorsROC Curve

Identifiers

PMID32023287
PMCPMC7001949

What OpenQuestion holds

Textmetadata
LicenceCC0
Read underepoch 390

Registered trials

None linked

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.