Evidence map›Paper›PMID 30819037›Full record

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

A Systematic Review of the Literature Demonstrates Some Errors in the Use of Decision Curve Analysis but Generally Correct Interpretation of Findings.

Paolo Capogrosso, Andrew J Vickers

Abstract readSystematic Review
In one paragraph

Synthesis 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 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. 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
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. 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
  12. Article
  13. Article
  14. Development of a diagnostic model to identify patients at high risk for cerebellopontine angle lesions.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2022
    Article
  15. Article
  16. Decision curve analysis to evaluate the clinical benefit of prediction models.The spine journal : official journal of the North American Spine Society · 2021
    Article
  17. Development of a model to predict vestibular schwannoma growth: An opportunity to introduce new wait and scan strategies.Clinical otolaryngology : official journal of ENT-UK ; official journal of Netherlands Society for Oto-Rhino-Laryngology & Cervico-Facial Surgery · 2021
    Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Paolo CapogrossoUniversità Vita-Salute San Raffaele, Milan, Italy.ORCID 0000-0003-2347-9504
Andrew J VickersMemorial Sloan Kettering Cancer Center, New York, NY, USA.ORCID 0000-0003-1525-6503

Funding

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

Abstract

PubMed holds no abstract for this paper.

Indexed as

Decision Support TechniquesData Interpretation, StatisticalHumansdecision curve analysispredictionquality

Identifiers

PMID30819037
PMCPMC7521606

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.