Prognostic Index for Early Death in Small-Cell Lung Cancer Patients
Author Information
Author(s): Lassen U N, Østerlind K, Hirsch F R, Bergman B, Dombernowsky P, Hansen H H
Primary Institution: Finsen Center, Department of Oncology, National University Hospital, Copenhagen, Denmark
Hypothesis
Can we identify patients at risk of early non-toxic death and early toxic death during chemotherapy for small-cell lung cancer?
Conclusion
A simple prognostic algorithm can help identify patients at risk of early death during chemotherapy, potentially improving long-term survival.
Supporting Evidence
- 12.6% of patients died during the first treatment cycle.
- 4% of deaths were due to sepsis.
- Significant risk factors for early death included age, performance status, and lactate dehydrogenase levels.
Takeaway
This study found that some patients with small-cell lung cancer are more likely to die early during chemotherapy, and we can use certain factors to identify them.
Methodology
Logistic regression analyses were performed to identify predictive factors for early death based on data from randomized trials.
Participant Demographics
Patients with small-cell lung cancer undergoing chemotherapy.
Statistical Information
P-Value
0.0001
Statistical Significance
p=0.0001
Digital Object Identifier (DOI)
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