2018
DOI: 10.1111/jth.14300
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The American College of Chest Physician score to assess the risk of bleeding during anticoagulation in patients with venous thromboembolism: reply

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Cited by 6 publications
(6 citation statements)
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“…Previous external validation studies in the general VTE population also showed poor to moderate discrimination. 28 39 40 41 42 43 44 This may be explained by methodological limitations, as all model derivation studies were considered to be at high risk of bias according to the PROBAST tool. 27 36…”
Section: Discussionmentioning
confidence: 99%
“…Previous external validation studies in the general VTE population also showed poor to moderate discrimination. 28 39 40 41 42 43 44 This may be explained by methodological limitations, as all model derivation studies were considered to be at high risk of bias according to the PROBAST tool. 27 36…”
Section: Discussionmentioning
confidence: 99%
“…This suggests more consistent and thereby likely reliable estimates of bleeding risks and broader functionality of the VTE‐BLEED than other available scores. Furthermore, in contrast with other currently available bleeding risk scores, the VTE‐BLEED was evaluated and validated both in nonselected VTE patients and in patients with unprovoked VTE, as well as for all currently available classes of oral anticoagulants . Additionally, the binary categorization used in the VTE‐BLEED limits the commonly encountered ambiguity surrounding clinical management of patients classified at “intermediate risk” according to other bleeding prediction scores.…”
Section: Discussionmentioning
confidence: 99%
“…It should be noted that most of these studies were either retrospective or post hoc and did not involve independent adjudication of bleeding events. 18,34,35,37,[42][43][44][45][46][47][48][49][50][51][52][53][54][55][56][57] Moreover, only very few aimed specifically at the most relevant treatment period beyond the first 3 months. Of note, reporting measures of discrimination (ie, C-statistic) will always be important for a prediction model, but decision-analytic measures, such as absolute risks and risk differences between risk categories, are at least as relevant if the model is to be used for making clinical decisions: in most studies, the high-risk class of the different scores indeed involved a clearly higher risk than the low-risk class, even despite poor calibration statistics, indicating at least some clinical usefulness.…”
Section: How To Identify Modifiable Risk Factors For Bleedingmentioning
confidence: 99%