Evidence map›Paper›PMID 29156504›Full record

ReviewStatistics in medicine2017

Clinical risk reclassification at 10 years.

Nancy R Cook, Olga V Demler, Nina P Paynter

Abstract readReview
In one paragraph

Review in Statistics in medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Observational
  8. Biomarkers in CKD: What Does the Future Hold?Journal of the American Society of Nephrology : JASN · 2025
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Quantifying the added value of new biomarkers: how and how not.Diagnostic and prognostic research · 2018
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Nancy R CookHarvard Medical School, Brigham & Women's Hospital, Boston, MA, 02215, U.S.A.ORCID http://orcid.org/0000-0002-9705-0842
Olga V DemlerHarvard Medical School, Brigham & Women's Hospital, Boston, MA, 02215, U.S.A.ORCID http://orcid.org/0000-0003-3355-3210
Nina P PaynterHarvard Medical School, Brigham & Women's Hospital, Boston, MA, 02215, U.S.A.ORCID http://orcid.org/0000-0003-3376-3867

Funding

PRE-DETERMINE: Biologic Markers and MRI SCD Cohort StudyR01HL091069 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI ALBERT, CHRISTINE M · 2008 to 2020
$12.9M
Novel Applications of Risk Reclassification Methods in CVD Risk PredictionR01HL113080 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI COOK, NANCY R · 2013 to 2016
$1.3M
NHLBI NIH HHS R01 HL091069NHLBI NIH HHS R01 HL113080
6 · The paper itself

Abstract

Three papers in this issue focus on the role of calibration in model fit statistics, including the net reclassification improvement (NRI) and integrated discrimination improvement (IDI). This commentary reviews the development of such reclassification statistics along with more recent advances in our understanding of these measures. We show how the two-category NRI and the IDI are affected by changes in the event rate in theory and in an applied example. We also describe the role of calibration and how it may be assessed. Finally, we discuss the relevance of the event rate NRI for clinical use. Copyright © 2017 John Wiley & Sons, Ltd.

Indexed as

Area Under CurveBiomarkersBiometryCalibrationCardiovascular DiseasesComputer SimulationFemaleHumansMaleRisk AssessmentRisk FactorsBiomarkerscalibrationclinical utilityreclassification

Identifiers

PMID29156504
PMCPMC5726289

What OpenQuestion holds

Textmetadata
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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.