Evidence map›Paper›PMID 31104561›Full record

ArticleMedical decision making : an international journal of the Society for Medical Decision Making2019

The Importance of Uncertainty and Opt-In v. Opt-Out: Best Practices for Decision Curve Analysis.

Kathleen F Kerr, Tracey L Marsh, Holly Janes

Abstract readComment
In one paragraph

Article in Medical decision making : an international journal of the Society for Medical Decision Making, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Expected Value of Sample Information Calculations for Risk Prediction Model Validation.Medical decision making : an international journal of the Society for Medical Decision Making · 2025
    Article
  2. Value-of-Information Analysis for External Validation of Risk Prediction Models.Medical decision making : an international journal of the Society for Medical Decision Making · 2023
    Article
  3. Article
  4. Article
  5. Uncertainty and the Value of Information in Risk Prediction Modeling.Medical decision making : an international journal of the Society for Medical Decision Making · 2022
    Article
  6. Recalibration Methods for Improved Clinical Utility of Risk Scores.Medical decision making : an international journal of the Society for Medical Decision Making · 2022
    Article
  7. Article
  8. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Kathleen F KerrDepartment of Biostatistics, University of Washington, Seattle, WA, USA.ORCID 0000-0002-6438-9583
Tracey L MarshFred Hutchinson Cancer Research Center, Seattle, WA, USA.
Holly JanesFred Hutchinson Cancer Research Center, Seattle, WA, USA.

Funding

Novel Biomarkers in Cardiac Surgery to Detect Acute Kidney InjuryR01HL085757 · NHLBI · YALE UNIVERSITY · PI PARIKH, CHIRAG R · 2007 to 2019
$10.3M
Statistical Methods for Evaluating Markers for Treatment SelectionR01CA152089 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI JANES, HOLLY · 2010 to 2021
$3.8M
NCI NIH HHS R01 CA152089NHLBI NIH HHS R01 HL085757
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Decision MakingDecision Support TechniquesUncertainty

Identifiers

PMID31104561
PMCPMC6786944

What OpenQuestion holds

Textmetadata
LicenceTDM
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.