Evidence map›Paper›PMID 23935462›Full record

ArticlePLoS medicine2013

Evaluation of prediction models for decision-making: beyond calibration and discrimination.

Lars Holmberg, Andrew Vickers

Open access · goldAbstract readComment
In one paragraph

Article in PLoS medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 3 pooled it
3.3field-weighted citation impact, top 7% of its field
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

26 citing papers in PubMed, 3 syntheses or guidelines pooled it, 53 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. A Systematic Review of the Literature Demonstrates Some Errors in the Use of Decision Curve Analysis but Generally Correct Interpretation of Findings.Medical decision making : an international journal of the Society for Medical Decision Making · 2019
    Pooled it
  4. Observational
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  13. An objective framework for evaluating unrecognized bias in medical AI models predicting COVID-19 outcomes.Journal of the American Medical Informatics Association : JAMIA · 2022
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 2 institutions in 3 countries.

Lars HolmbergRegional Cancer Center Uppsala Örebro, Uppsala University Hospital, Uppsala, Sweden. lars.holmberg@kcl.ac.uk
Andrew Vickers
Memorial Sloan Kettering Cancer Center · USUppsala University Hospital · SE

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Elisa de Stanchina · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

Lars Holmberg and Andrew Vickers discuss the importance of ensuring prediction models lead to better decision making in light of new research into breast, endometrial, and ovarian cancer risk by Ruth Pfeiffer and colleagues. Please see later in the article for the Editors' Summary.

Indexed as

Breast NeoplasmsEndometrial NeoplasmsFemaleHumansOvarian Neoplasms

Identifiers

PMID23935462
PMCPMC3728013
OpenAlexW2023732110

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.