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Association Between Pre-existing Schizophrenia and Lung Cancer Outcomes: A TriNetX Analysis
Leshya Bokka1, Deborah M Li1, Thomas Bilfinger2
1Department of Surgery, Renaissance School of Medicine at Stony Brook University, Stony Brook, New York.
The Journal of Surgical Research
|October 15, 2025
Summary
Patients with schizophrenia spectrum disorders (SSD) experience worse lung cancer mortality rates compared to those without SSD. This study found significantly lower survival rates in SSD patients, particularly in stage 3 lung cancer.
Area of Science:
- Oncology
- Psychiatry
- Public Health
Background:
- Patients with schizophrenia spectrum disorders (SSD) have reduced life expectancy.
- Cancer incidence is similar, but lung cancer mortality in SSD patients is understudied.
- This study investigates lung cancer mortality in patients with and without SSD.
Purpose of the Study:
- To compare all-cause lung cancer mortality rates between patients with and without SSD.
- To identify survival differences in lung cancer patients with SSD.
- To analyze survival outcomes based on lung cancer stage.
Main Methods:
- Utilized the TriNetX Network to identify patients with primary lung cancer.
- Constructed two cohorts: one with SSD and one without, preceding lung cancer diagnosis.
- Used propensity matching (1:1) and Kaplan-Meier survival analysis for 1, 3, and 5-year outcomes.
Main Results:
- After matching, 511 patients were in each cohort (SSD vs. no-SSD).
- SSD patients showed significantly higher lung cancer mortality at 1, 3, and 5 years (HRs ranging from 0.760 to 0.790).
- Stage 3 lung cancer survival was notably worse in SSD patients at 3 and 5 years; median survival was 641 days (SSD) vs. 1132 days (no-SSD).
Conclusions:
- Lung cancer outcomes are worse for patients with SSD.
- Observed outcome differences correlate with variations in treatment choices, especially in stage 3.
- Further research is needed on treatment modalities, adherence, and causes of death in SSD patients with lung cancer.

