Importance of clinical profiling to determine excess mortality in prolactinomas: insights from a large, registry-based cohort
Authors' conclusion
Prolactinoma captured in a population-based tumor registry was associated with excess all-cause mortality, with heterogeneity across patient profiles. An older, male-predominant profile with larger tumors showed excess mortality, whereas a younger, female-predominant profile with small tumors showed directionally lower mortality.
Study context
- Population
- Adult prolactinoma cases, Surveillance, Epidemiology, and End Results database (2004–2022)
- Participants
- 3,378 cases26,118 person-years
- Exposure
- Prolactinoma patients vs general population; LOOM vs SAYF profiles
- Outcome
- All-cause mortality (SMR vs US life tables matched by age, sex, calendar year, race/ethnicity, and geography)
Methodological detailspopulation-based, standardized mortality ratios vs US life tables, unsupervised clustering (Fuzzy C-Means)
- Population-based
- Standardized mortality ratios vs US life tables
- Unsupervised clustering (Fuzzy C-Means)
Main finding
As reported in the abstract
Excess all-cause mortality, all prolactinoma cases
SMR 95% CI 1.03-1.41
1.21
Observational data: associations, not effects.
Further findings
SMR
| Outcome | LOOM | SAYF | EMR (95% CI) | P value |
|---|---|---|---|---|
| All-cause mortality by patient profile (patients with tumor size data)Adjusted for race, calendar year, surgery, and radiotherapy | 1.36 (95% CI 1.11–1.65) | 0.48 (95% CI 0.22–0.90) | 2.92 (1.44–5.90) | P = 0.003 |
- All-cause mortality by patient profile (patients with tumor size data): 2,481 patients with tumor size (18,097 person-years)
Sensitivity analyses with imputed data
- Results consistent; survival advantage in SAYF attenuated and no longer statistically significant
Original publication
Importance of clinical profiling to determine excess mortality in prolactinomas: insights from a large, registry-based cohort. Pituitary. Published 3 September 2026. doi:10. 1007/ s11102-026-01739-w
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