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Cited by 1,544

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The Will Rogers Phenomenon: Stage Migration and New Diagnostic Techniques as a Source of Misleading Statistics for Survival in Cancer

Feinstein, Alvan R., Sosin, Daniel M., Wells, Carolyn K.·1985·New England Journal of Medicine

Abstract

We found that a cohort of patients with lung cancer first treated in 1977 had higher six-month survival rates for the total group and for subgroups in each of the three main TNM stages (tumor, nodes, and metastases) than a cohort treated between 1953 and 1964 at the same institutions. The more recent cohort, however, had undergone many new diagnostic imaging procedures. According to the "old" diagnostic data for both cohorts, the recent cohort had a prognostically favorable "zero-time shift." In addition, by demonstrating metastases that had formerly been silent and unidentified, the new technological data resulted in a stage migration. Many patients who previously would have been classified in a "good" stage were assigned to a "bad" stage. Because the prognosis of those who migrated, although worse than that for other members of the good-stage group, was better than that for other members of the bad-stage group, survival rates rose in each group without any change in individual outcomes. When classified according to symptom stages that would be unaltered by changes in diagnostic techniques, the two cohorts had similar survival rates.

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Metadata

Authors
Feinstein, A. R., Sosin, D. M., & Wells, C. K.
Venue
New England Journal of Medicine
Published
1985-06-20
Volume
312
Issue
25
Pages
1604-1608
ISSN
  • 0028-4793 (ISSN-L)
  • 1533-4406
OpenAlex
W2314635417
Cited by
1,544
References
0
FWCI
26.24
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The Will Rogers Phenomenon: Stage Migration and New Diagnostic Techniques as a Source of Misleading Statistics for Survival in Cancer. https://app.cochat.ai/papers/10.1056/nejm198506203122504
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Feinstein, A. R., Sosin, D. M., & Wells, C. K. (1985). The Will Rogers Phenomenon: Stage Migration and New Diagnostic Techniques as a Source of Misleading Statistics for Survival in Cancer. New England Journal of Medicine. https://doi.org/10.1056/nejm198506203122504

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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.