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Cited by 436

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

A two-year longitudinal study of post-stroke mood disorders: findings during the initial evaluation.

Open access
Robinson, R G, Starr, L B, Kubos, K L, Price, T R·1983·Stroke

Abstract

A consecutive series of 103 stroke patients capable of undergoing a psychiatric interview were evaluated for mood disorders. Nearly 50% of patients studied in the acute stroke period had clinically significant depressions and one fourth had symptom clusters found in major depressive disorders. We confirmed our previous findings that lesion location is most important in determining frequency and severity of depression. In addition, we have identified other variables including functional physical impairment, intellectual impairment, quality of social support, and age which contribute to or modify depression. Post-stroke depressive disorders are multifactorial in their determination and expression and include both neurophysiological-neurochemical mechanisms and psychological factors in their etiology.

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Crossref · 10.1161/01.str.14.5.736

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Metadata

Authors
Robinson, R. G., Starr, L. B., Kubos, K. L., & Price, T. R.
Venue
Stroke
Published
1983-09
Volume
14
Issue
5
Pages
736-741
ISSN
  • 0039-2499 (ISSN-L)
  • 1524-4628
OpenAlex
W2141523131
Cited by
436
References
2
FWCI
17.17
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: A two-year longitudinal study of post-stroke mood disorders: findings during the initial evaluation. https://app.cochat.ai/papers/10.1161/01.str.14.5.736
The paper
Robinson, R. G., Starr, L. B., Kubos, K. L., & Price, T. R. (1983). A two-year longitudinal study of post-stroke mood disorders: findings during the initial evaluation. Stroke. https://doi.org/10.1161/01.str.14.5.736

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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.