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Cited by 663

The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.

Prognosis research strategy (PROGRESS) 1: A framework for researching clinical outcomes

Open access
Hemingway, H., Croft, P., Perel, P., Hayden, J. A., Abrams, K., Timmis, A., Briggs, A., Udumyan, R., Moons, K. G. M., Steyerberg, E. W., Roberts, I., Schroter, S., Altman, D. G., Riley, R. D., for the PROGRESS Group·2013·BMJ

Abstract

Understanding and improving the prognosis of a disease or health condition is a priority in clinical research and practice. In this article, the authors introduce a framework of four interrelated themes in prognosis research, describe the importance of the first of these themes (understanding future outcomes in relation to current diagnostic and treatment practices), and introduce recommendations for the field of prognosis research

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Registry

Crossref · 10.1136/bmj.e5595

Cites

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Citations

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Metadata

Authors
Hemingway, H., Croft, P., Perel, P., Hayden, J. A., Abrams, K., Timmis, A., Briggs, A., Udumyan, R., Moons, K. G. M., Steyerberg, E. W., Roberts, I., Schroter, S., Altman, D. G., Riley, R. D., & for the PROGRESS Group
Venue
BMJ
Publisher
BMJ
Published
2013-02-05
Volume
346
Issue
feb05 1
Pages
e5595-e5595
ISSN
1756-1833 (ISSN-L)
OpenAlex
W2159235877
Cited by
663
References
10
FWCI
36.70
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Prognosis research strategy (PROGRESS) 1: A framework for researching clinical outcomes. https://app.cochat.ai/papers/10.1136/bmj.e5595
The paper
Hemingway, H., Croft, P., Perel, P., Hayden, J. A., Abrams, K., Timmis, A., Briggs, A., Udumyan, R., Moons, K. G. M., Steyerberg, E. W., Roberts, I., Schroter, S., Altman, D. G., Riley, R. D., & for the PROGRESS Group. (2013). Prognosis research strategy (PROGRESS) 1: A framework for researching clinical outcomes. BMJ. https://doi.org/10.1136/bmj.e5595

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.