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Cited by 621

The DOI matches its Crossref record; 131 of the 131 references it cites were found in a registry or an index.

Defining high bleeding risk in patients undergoing percutaneous coronary intervention: a consensus document from the Academic Research Consortium for High Bleeding Risk

Open access
Urban, Philip, Mehran, Roxana, Colleran, Roisin, Angiolillo, Dominick J, Byrne, Robert A, Capodanno, Davide, Cuisset, Thomas, Cutlip, Donald, Eerdmans, Pedro, Eikelboom, John, Farb, Andrew, Gibson, C Michael, Gregson, John, Haude, Michael, James, Stefan K, Kim, Hyo-Soo, Kimura, Takeshi, Konishi, Akihide, Laschinger, John, Leon, Martin B, Magee, P F Adrian, Mitsutake, Yoshiaki, Mylotte, Darren, Pocock, Stuart, Price, Matthew J, Rao, Sunil V, Spitzer, Ernest, Stockbridge, Norman, Valgimigli, Marco, Varenne, Olivier, Windhoevel, Ute, Yeh, Robert W, Krucoff, Mitchell W, Morice, Marie-Claude·2019·European Heart Journal

Abstract

Identification and management of patients at high bleeding risk undergoing percutaneous coronary intervention are of major importance, but a lack of standardization in defining this population limits trial design, data interpretation, and clinical decision-making. The Academic Research Consortium for High Bleeding Risk (ARC-HBR) is a collaboration among leading research organizations, regulatory authorities, and physician-scientists from the United States, Asia, and Europe focusing on percutaneous coronary intervention–related bleeding. Two meetings of the 31-member consortium were held in Washington, DC, in April 2018 and in Paris, France, in October 2018. These meetings were organized by the Cardiovascular European Research Center on behalf of the ARC-HBR group and included representatives of the US Food and Drug Administration and the Japanese Pharmaceuticals and Medical Devices Agency, as well as observers from the pharmaceutical and medical device industries. A consensus definition of patients at high bleeding risk was developed that was based on review of the available evidence. The definition is intended to provide consistency in defining this population for clinical trials and to complement clinical decision-making and regulatory review. The proposed ARC-HBR consensus document represents the first pragmatic approach to a consistent definition of high bleeding risk in clinical trials evaluating the safety and effectiveness of devices and drug regimens for patients undergoing percutaneous coronary intervention.

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Metadata

Authors
Urban, P., Mehran, R., Colleran, R., Angiolillo, D. J., Byrne, R. A., Capodanno, D., Cuisset, T., Cutlip, D., Eerdmans, P., Eikelboom, J., Farb, A., Gibson, C. M., Gregson, J., Haude, M., James, S. K., Kim, H.-S., Kimura, T., Konishi, A., Laschinger, J., Leon, M. B., Magee, P. F. A., Mitsutake, Y., Mylotte, D., Pocock, S., Price, M. J., Rao, S. V., Spitzer, E., Stockbridge, N., Valgimigli, M., Varenne, O., Windhoevel, U., Yeh, R. W., Krucoff, M. W., & Morice, M.-C.
Venue
European Heart Journal
Published
2019-05-22
Volume
40
Issue
31
Pages
2632-2653
ISSN
  • 0195-668X (ISSN-L)
  • 1522-9645
OpenAlex
W2946796958
Cited by
621
References
131
FWCI
44.50
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Defining high bleeding risk in patients undergoing percutaneous coronary intervention: a consensus document from the Academic Research Consortium for High Bleeding Risk. https://app.cochat.ai/papers/10.1093/eurheartj/ehz372
The paper
Urban, P., Mehran, R., Colleran, R., Angiolillo, D. J., Byrne, R. A., Capodanno, D., Cuisset, T., Cutlip, D., Eerdmans, P., Eikelboom, J., Farb, A., Gibson, C. M., Gregson, J., Haude, M., James, S. K., Kim, H.-S., Kimura, T., Konishi, A., Laschinger, J., . . . Morice, M.-C. (2019). Defining high bleeding risk in patients undergoing percutaneous coronary intervention: a consensus document from the Academic Research Consortium for High Bleeding Risk. European Heart Journal. https://doi.org/10.1093/eurheartj/ehz372

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.