Prediction of survival in progressive systemic sclerosis by multivariate analysis of clinical features.

@article{Wynn1985PredictionOS,
  title={Prediction of survival in progressive systemic sclerosis by multivariate analysis of clinical features.},
  author={James Wynn and Naomi Fineberg and L Matzer and Xavier Cortada and William Armstrong and James C. Dillon and Evlin L. Kinney},
  journal={American heart journal},
  year={1985},
  volume={110 1 Pt 1},
  pages={123-7}
}
The records of 64 patients with progressive systemic sclerosis (PSS) were reviewed. More than 100 items from the patient's history, physical examination, and laboratory tests were encoded. A two-tailed Gehan's test was used to evaluate the effect of each variable on patient survival. Variables significant at the 0.05 level were then analyzed simultaneously, using the Cox regression model, in order to determine which clinical features are most predictive of survival in PSS. By Cox regression… CONTINUE READING

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