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<a href="literature.html">Peer-Reviewed Literature</a>
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<h1 class="title toc-ignore">DCA: Literature</h1>
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<div id="introductory-papers-and-guides" class="section level1">
<h1><strong>Introductory Papers and Guides</strong></h1>
<div class="contact-wrapper contact-box">
<div class="contact-text">
<h2>
<a href="https://pubmed.ncbi.nlm.nih.gov/17099194/">Original Paper</a>
</h2>
<span class="year">2006</span>
<p>
Vickers AJ, Elkin EB. Decision curve analysis: a novel method for
evaluating prediction models. Med Decis Making. 2006
Nov-Dec;26(6):565-74. PMID: 17099194.
</p>
</div>
</div>
<div class="contact-wrapper contact-box">
<div class="contact-text">
<h2>
<a href="https://pubmed.ncbi.nlm.nih.gov/26810254/">Best Basic
Introduction</a>
</h2>
<span class="year">2016</span>
<p>
Vickers AJ, Van Calster B, Steyerberg EW. Net benefit approaches to the
evaluation of prediction models, molecular markers, and diagnostic
tests. BMJ. 2016 Jan 25;352:i6. PMID: 26810254.
</p>
</div>
</div>
<div class="contact-wrapper contact-box">
<div class="contact-text">
<h2>
<a href="https://pubmed.ncbi.nlm.nih.gov/31592444/">How to Understand a
Decision Curve</a>
</h2>
<span class="year">2019</span>
<p>
Vickers, AJ, van Calster, B & Steyerberg, EW. A simple, step-by-step
guide to interpreting decision curve analysis. Diagn Progn Res 3, 18
(2019).
</p>
</div>
</div>
<div class="contact-wrapper contact-box">
<div class="contact-text">
<h2>
<a href="https://pubmed.ncbi.nlm.nih.gov/30241973/">Guide for Reporting
Decision Curves</a>
</h2>
<span class="year">2018</span>
<p>
Ben Van Calster, Laure Wynants, Jan FM Verbeek, Jan Y Verbakel,
Evangelia Christodoulou, Andrew J Vickers, Monique J Roobol, Ewout W
Steyerberg. Reporting and Interpreting Decision Curve Analysis: A Guide
for Investigators. European Urology, Volume 74, Issue 6, 2018, Pages
796-804, ISSN 0302-2838
</p>
</div>
</div>
<div class="contact-wrapper contact-box">
<div class="contact-text">
<h2>
<a href="https://www.bmj.com/content/386/bmj-2023-078276">DCA in Guide
for Developing Clinical Prediction Models</a>
</h2>
<span class="year">2024</span>
<p>
Efthimiou O, Seo M, Chalkou K, Debray T, Egger M, Salanti G. Developing
clinical prediction models: a step-by-step guide. BMJ. 2024 Sep
3;386:e078276. PMID: 39227063.
</p>
</div>
</div>
</div>
<div id="extensions-to-dca" class="section level1">
<h1><strong>Extensions to DCA</strong></h1>
<div class="contact-wrapper contact-box">
<div class="contact-text">
<h2>
<a href="https://pubmed.ncbi.nlm.nih.gov/19036144/">Applications to
Survival Time Data, Competing Risks, and Cross Validation</a>
</h2>
<span class="year">2008</span>
<p>
Vickers AJ, Cronin AM, Elkin EB, Gonen M. Extensions to decision curve
analysis, a novel method for evaluating diagnostic tests, prediction
models and molecular markers. BMC Med Inform Decis Mak. 2008;8:53.
Published 2008 Nov 26.
</p>
</div>
</div>
<div class="contact-wrapper contact-box">
<div class="contact-text">
<h2>
<a href="https://pubmed.ncbi.nlm.nih.gov/17550609/">DCA & Treatment
Response: Model Evaluation</a>
</h2>
<span class="year">2007</span>
<p>
Vickers AJ, Kattan MW, Daniel S. Method for evaluating prediction models
that apply the results of randomized trials to individual patients.
Trials. 2007;8:14. Published 2007 Jun 5.
</p>
</div>
</div>
<div class="contact-wrapper contact-box">
<div class="contact-text">
<h2>
<a href="https://pubmed.ncbi.nlm.nih.gov/17022818/">DCA & Treatment
Response: Trial Design</a>
</h2>
<span class="year">2006</span>
<p>
Vickers AJ, Kramer BS, Baker SG. Selecting patients for randomized
trials: a systematic approach based on risk group. Trials. 2006 Oct
5;7:30. PMID: 17022818; PMCID: PMC1609186.
</p>
</div>
</div>
<div class="contact-wrapper contact-box">
<div class="contact-text">
<h2>
<a href="https://pubmed.ncbi.nlm.nih.gov/36810659/">Net Benefit Under
Resource Constraints</a>
</h2>
<span class="year">2023</span>
<p>
Karandeep Singh, Nigam H Shah, Andrew J Vickers, Assessing the net
benefit of machine learning models in the presence of resource
constraints, Journal of the American Medical Informatics Association,
Volume 30, Issue 4, April 2023, Pages 668–673
</p>
</div>
</div>
</div>
<div id="discussion-papers-and-theoretical-background"
class="section level1">
<h1><strong>Discussion Papers and Theoretical Background</strong></h1>
<div class="contact-wrapper contact-box">
<div class="contact-text">
<h2>
<a href="https://pubmed.ncbi.nlm.nih.gov/19132141/">Theoretical
Background (1)</a>
</h2>
<span class="year">2008</span>
<p>
Vickers AJ. Decision analysis for the evaluation of diagnostic tests,
prediction models and molecular markers. Am Stat. 2008;62(4):314-320
</p>
</div>
</div>
<div class="contact-wrapper contact-box">
<div class="contact-text">
<h2>
<a href="https://pubmed.ncbi.nlm.nih.gov/20172362/">Theoretical
Background (2)</a>
</h2>
<span class="year">2010</span>
<p>
Vickers AJ, Cronin AM. Traditional statistical methods for evaluating
prediction models are uninformative as to clinical value: towards a
decision analytic framework. Semin Oncol. 2010;37(1):31-38.
</p>
</div>
</div>
<div class="contact-wrapper contact-box">
<div class="contact-text">
<h2>
<a href="https://pubmed.ncbi.nlm.nih.gov/20069131/">Mathematical
Underpinnings</a>
</h2>
<span class="year">2009</span>
<p>
Baker SG, Cook NR, Vickers A, Kramer BS. Using relative utility curves
to evaluate risk prediction. J R Stat Soc Ser A Stat Soc. 2009 Oct
1;172(4):729-748. PMID: 20069131; PMCID: PMC2804257.
</p>
</div>
</div>
<div class="contact-wrapper contact-box">
<div class="contact-text">
<h2>
<a href="https://pubmed.ncbi.nlm.nih.gov/20010215/">Introduction of
3-Step Approach of Discrimination, Calibration, Clinical Utility</a>
</h2>
<span class="year">2010</span>
<p>
Steyerberg EW, Vickers AJ, Cook NR, Gerds T, Gonen M, Obuchowski N,
Pencina MJ, Kattan MW. Assessing the performance of prediction models: a
framework for traditional and novel measures. Epidemiology. 2010
Jan;21(1):128-38. PMID: 20010215; PMCID: PMC3575184.
</p>
</div>
</div>
<div class="contact-wrapper contact-box">
<div class="contact-text">
<h2>
<a href="https://pubmed.ncbi.nlm.nih.gov/30819037/">Systematic review of
how decision curves used in the literature</a>
</h2>
<span class="year">2019</span>
<p>
Capogrosso P, Vickers AJ. Med Decis Making. 2019 Jul;39(5):493-498.
PMID: 30819037.
</p>
</div>
</div>
<div class="contact-wrapper contact-box">
<div class="contact-text">
<h2>
<a href="https://pubmed.ncbi.nlm.nih.gov/37277840/">Decision curve
analysis: confidence intervals and hypothesis testing for net
benefit</a>
</h2>
<span class="year">2023</span>
<p>
Vickers AJ, Van Claster B, Wynants L, Steyerberg EW. Decision curve
analysis: confidence intervals and hypothesis testing for net benefit.
Diagn Progn Res. 2023 Jun 6;7(1):11. PMID: 37277840; PMCID: PMC10243069.
</p>
</div>
</div>
</div>
<div id="editorials-commentaries-in-major-journals"
class="section level1">
<h1><strong>Editorials & Commentaries in Major
Journals</strong></h1>
<div class="contact-wrapper contact-box">
<div class="contact-text">
<h2>
<a href="https://pubmed.ncbi.nlm.nih.gov/27247223/">Journal of Clinical
Oncology</a>
</h2>
<span class="year">2016</span>
<p>
Kerr KF, Brown MD, Zhu K, Janes H. Assessing the Clinical Impact of Risk
Prediction Models With Decision Curves: Guidance for Correct
Interpretation and Appropriate Use. J Clin Oncol. 2016 Jul
20;34(21):2534-40. PMID: 27247223; PMCID: PMC4962736.
</p>
</div>
</div>
<div class="contact-wrapper contact-box">
<div class="contact-text">
<h2>
<a href="https://pubmed.ncbi.nlm.nih.gov/26810254/">British Medical
Journal</a>
</h2>
<span class="year">2016</span>
<p>
Vickers AJ, Van Calster B, Steyerberg EW. Net benefit approaches to the
evaluation of prediction models, molecular markers, and diagnostic
tests. BMJ. 2016 Jan 25;352:i6. PMID: 26810254; PMCID: PMC4724785.
</p>
</div>
</div>
<div class="contact-wrapper contact-box">
<div class="contact-text">
<h2>
<a href="https://pubmed.ncbi.nlm.nih.gov/25626037/">The Journal of the
American Medical Association</a>
</h2>
<span class="year">2015</span>
<p>
Fitzgerald M, Saville BR, Lewis RJ. Decision curve analysis. JAMA. 2015
Jan 27;313(4):409-10. PMID: 25626037.
</p>
</div>
</div>
<div class="contact-wrapper contact-box">
<div class="contact-text">
<h2>
<a href="https://pubmed.ncbi.nlm.nih.gov/22910942/">Annals of Internal
Medicine</a>
</h2>
<span class="year">2012</span>
<p>
Localio AR, Goodman S. Beyond the usual prediction accuracy metrics:
reporting results for clinical decision making. Ann Intern Med. 2012 Aug
21;157(4):294-5. PMID: 22910942.
</p>
</div>
</div>
<div class="contact-wrapper contact-box">
<div class="contact-text">
<h2>
<a href="https://pubmed.ncbi.nlm.nih.gov/36571841/">Decision Curves for
Time-to-Event Data</a>
</h2>
<span class="year">2023</span>
<p>
McLernon DJ, et al. Ann Intern Med. 2023 Jan;176(1):105-114. PMID:
36571841.
</p>
</div>
</div>
</div>
<div id="other-editorials" class="section level1">
<h1><strong>Other Editorials</strong></h1>
<div class="contact-wrapper contact-box">
<div class="contact-text">
<h2>
<a href="https://pubmed.ncbi.nlm.nih.gov/35348862/">European
Radiology</a>
</h2>
<span class="year">2022</span>
<p>
Vickers AJ, Woo S. Decision curve analysis in the evaluation of
radiology research. Eur Radiol. 2022 Sep;32(9):5787-5789. Epub 2022 Mar
29. PMID: 35348862.
</p>
</div>
</div>
<div class="contact-wrapper contact-box">
<div class="contact-text">
<h2>
<a href="https://pubmed.ncbi.nlm.nih.gov/33676020/">Spine</a>
</h2>
<span class="year">2021</span>
<p>
Vickers AJ, Holland F. Decision curve analysis to evaluate the clinical
benefit of prediction models. Spine J. 2021 Oct;21(10):1643-1648. Epub
2021 Mar 3. PMID: 33676020; PMCID: PMC8413398.
</p>
</div>
</div>
<div class="contact-wrapper contact-box">
<div class="contact-text">
<h2>
<a href="https://pubmed.ncbi.nlm.nih.gov/34862535/">Acta
Neurochirurgica</a>
</h2>
<span class="year">2022</span>
<p>
Mijderwijk HJ, Nieboer D. Is My Clinical Prediction Model Clinically
Useful? A Primer on Decision Curve Analysis. Acta Neurochir Suppl.
2022;134:115-118. PMID: 34862535.
</p>
</div>
</div>
<div class="contact-wrapper contact-box">
<div class="contact-text">
<h2>
<a href="https://pubmed.ncbi.nlm.nih.gov/34503984/">The European
Respiratory Journal</a>
</h2>
<span class="year">2021</span>
<p>
Sadatsafavi M, Adibi A, Puhan M, Gershon A, Aaron SD, Sin DD. Moving
beyond AUC: decision curve analysis for quantifying net benefit of risk
prediction models. Eur Respir J. 2021 Nov 4;58(5):2101186. PMID:
34735641.
</p>
</div>
</div>
</div>
<div id="dca-machine-learningai" class="section level1">
<h1><strong>DCA & Machine Learning/AI</strong></h1>
<div class="contact-wrapper contact-box">
<div class="contact-text">
<h2>
<a href="https://pubmed.ncbi.nlm.nih.gov/30763612/">DCA & Machine
Learning/AI (1)</a>
</h2>
<span class="year">2019</span>
<p>
Christodoulou E, et al. J Clin Epidemiol 2019;110:12–22.
</p>
</div>
</div>
<div class="contact-wrapper contact-box">
<div class="contact-text">
<h2>
<a href="https://pubmed.ncbi.nlm.nih.gov/33355350/">DCA & Machine
Learning/AI (2)</a>
</h2>
<span class="year">2021</span>
<p>
Jung K, et al. J Am Med Inform Assoc 2021; 28 (6): 1149–58.
</p>
</div>
</div>
<div class="contact-wrapper contact-box">
<div class="contact-text">
<h2>
<a href="https://www.sciencedirect.com/science/article/pii/S0895435623000550">DCA
& Machine Learning/AI (3)</a>
</h2>
<span class="year">2023</span>
<p>
Dhiman P, Ma J, Andaur Navarro CL, Speich B, Bullock G, Damen JAA, Hooft
L, Kirtley S, Riley RD, Van Calster B, Moons KGM, Collins GS. Journal of
Clinical Epidemiology. 2023; ISSN 0895-4356.
</p>
</div>
</div>
<div class="contact-wrapper contact-box">
<div class="contact-text">
<h2>
<a href="https://www.nature.com/articles/s41746-021-00549-7">DCA &
Machine Learning/AI (4)</a>
</h2>
<span class="year">2022</span>
<p>
de Hond AAH, Leeuwenberg AM, Hooft L, et al. Guidelines and quality
criteria for artificial intelligence-based prediction models in
healthcare: a scoping review. npj Digit Med. 2022 Jan 20;5(1):2. PMID:
35348862; PMCID: PMC8393232.
</p>
</div>
</div>
<div class="contact-wrapper contact-box">
<div class="contact-text">
<h2>
<a href="https://www.bmj.com/content/385/bmj-2023-078378">DCA &
Machine Learning/AI (5)</a>
</h2>
<span class="year">2024</span>
<p>
Collins GS, Moons KGM, Dhiman P, Riley RD, Beam AL, Van Calster B et
al. TRIPOD+AI statement: updated guidance for reporting clinical
prediction models that use regression or machine learning methods. BMJ.
2024 Apr 18;385:q902. PMID: 38636956; PMCID: PMC11025451.
</p>
</div>
</div>
</div>
</div>
</div>
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