The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Outcomes in Primary Raynaud Phenomenon: A Meta-analysis of the Frequency, Rates, and Predictors of Transition to Secondary Diseases
Abstract
OBJECTIVE: To summarize the current literature on the frequency, rates, types, and outcome predictors of secondary diseases that develop in patients with primary Raynaud phenomenon. METHODS: A structured MEDLINE literature search with the MeSH heading "Raynaud's disease," which was crossed with (1) systemic sclerosis, (2) prognosis, (3) prospective studies, (4) follow-up studies, and (5) retrospective studies, was used to identify 910 articles for possible inclusion. Articles that identified patients with primary Raynaud phenomenon who were followed up and re-evaluated at the end of the study, and which used published classification criteria to assess the presence or absence of secondary disease were included. Patient-years of Raynaud disease, patient-years of follow-up, and rates and predictors of transition to secondary disease were calculated from the articles selected. The summary odds ratio and positive predictive value for evaluation criteria at entry were calculated from 2 x 2 tables generated for each variable. RESULTS: Ten articles identified a total of 639 patients with primary Raynaud phenomenon who were followed up for 2531 patient-years. Eighty-one patients (12.6%) developed a secondary disorder, 80 of which were connective-tissue diseases. Transitions occurred at a mean rate of 3.2 per 100 patient-years of observation. The mean time to develop a secondary disorder was 2.8 years from study entry and 10.4 years from the onset of Raynaud phenomenon. At entry, the best predictor of transition was an abnormal nailfold capillary pattern (positive predictive value, 47%). Antinuclear antibodies in these patients had a positive predictive value of only 30%. CONCLUSION: Although a variety of clinical and serological abnormalities can be found in patients with primary Raynaud phenomenon, only a small percentage of them develop a connective-tissue disease.
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Cites
Statistical Aspects of the Analysis of Data From Retrospective Studies of Disease
(1959) · JNCI: Journal of the National Cancer Institute · doi:10.1093/jnci/22.4.719 · Cited by 14,689
Cited by
Koenig, M., Joyal, F., Fritzler, M. J., Roussin, A., Abrahamowicz, M., Boire, G., Goulet, J., Rich, É., Grodzicky, T., Raymond, Y., et al. (2008) · Arthritis & Rheumatism · doi:10.1002/art.24038 · Cited by 615
Kavanaugh, A., Tomar, R., Reveille, J., Solomon, D. H., & Homburger, H. A. (2000) · Archives of Pathology & Laboratory Medicine · doi:10.5858/2000-124-0071-gfcuot · Cited by 443
Block, J. A., & Sequeira, W. (2001) · The Lancet · doi:10.1016/s0140-6736(00)05118-7 · Cited by 422
Wigley, F. M., & Flavahan, N. A. (2016) · New England Journal of Medicine · doi:10.1056/nejmra1507638 · Cited by 420
Raynaud's phenomenon and the role of capillaroscopy
Cutolo, M., Grassi, W., & Matucci Cerinic, M. (2003) · Arthritis & Rheumatism · doi:10.1002/art.11310 · Cited by 270
Metadata
- Authors
- Spencer-Green, G.
- Venue
- Archives of Internal Medicine
- Publisher
- American Medical Association (AMA)
- Published
- 1998-03-23
- Volume
- 158
- Issue
- 6
- Pages
- 595
- ISSN
- 0003-9926 (ISSN-L)
- OpenAlex
- W2087498895
- Cited by
- 222
- References
- 1
- FWCI
- 3.28
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Outcomes in Primary Raynaud Phenomenon: A Meta-analysis of the Frequency, Rates, and Predictors of Transition to Secondary Diseases. https://app.cochat.ai/papers/10.1001/archinte.158.6.595
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- Spencer-Green, G. (1998). Outcomes in Primary Raynaud Phenomenon: A Meta-analysis of the Frequency, Rates, and Predictors of Transition to Secondary Diseases. Archives of Internal Medicine. https://doi.org/10.1001/archinte.158.6.595
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