2012
DOI: 10.7326/0003-4819-157-4-201208210-00014
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Beyond the Usual Prediction Accuracy Metrics: Reporting Results for Clinical Decision Making

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Cited by 107 publications
(93 citation statements)
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“…The thin black line represents the assumption that no patients have 1‐, 3‐, or 5‐year survival. The net benefit was calculated by subtracting the proportion of all patients who are false‐positive from the proportion who are true‐positive, weighted by the relative harm of forgoing treatment compared with the negative consequences of an unnecessary treatment 38, 39. (A, C): DFS nomogram.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…The thin black line represents the assumption that no patients have 1‐, 3‐, or 5‐year survival. The net benefit was calculated by subtracting the proportion of all patients who are false‐positive from the proportion who are true‐positive, weighted by the relative harm of forgoing treatment compared with the negative consequences of an unnecessary treatment 38, 39. (A, C): DFS nomogram.…”
Section: Resultsmentioning
confidence: 99%
“…Decision curve analysis was conducted to assess the clinical usefulness of the model by quantifying the net benefits at different threshold probabilities 38, 39…”
Section: Methodsmentioning
confidence: 99%
“…Decision curve analysis was conducted to determine the clinical usefulness of the nomograms by quantifying the net benefits at different threshold probabilities [32], [33].…”
Section: Methodsmentioning
confidence: 99%
“…Thin black line represents the assumption that no patients have 5-year survival. The net benefit was calculated by subtracting the proportion of all patients who are false positive from the proportion who are true positive, weighting by the relative harm of forgoing treatment compared with the negative consequences of an unnecessary treatment [32], [33]. Here, the relative harm was calculated by [pt/(1 – pt)].…”
Section: Figurementioning
confidence: 99%
“…Decision curve analysis was carried out to determine the clinical usefulness of the nomograms by quantifying the net benefits at different threshold probabilities [42,43]. www.impactjournals.com/oncotarget…”
Section: Clinical Usementioning
confidence: 99%