Risk prediction of bladder cancer among person with diabetes: A derivation and validation study
Performance · Prevalence of bladder cancer by risk category (derivation cohort)Result — go to the resultFold increased prevalence 3.26 95% CI 1.65–6.44Authors' conclusion
The risk prediction algorithm may inform urgency of cystoscopy appointments, thus allowing a more efficient use of resources and contributing to early detection of BCa among people planned to be referred.
Study context
- Population
- People with diabetes who received cystoscopy, large database in the Chinese population (2009–2018)123 with BCa
- Participants
- 5,905 people
- Comparison
- High-risk vs average-risk category
- Outcome
- Prevalence of bladder cancer by risk category (derivation cohort)
Methodological detailsrandom sampling of 70% for derivation cohort, risk score from adjusted odds ratios
- Random sampling of 70% for derivation cohort
- Risk score from adjusted odds ratios
Performance
As reported in the abstract
Fold increased prevalence
3.26
95% CI 1.65–6.44
P = 0.025
By group
- Concordance (c-) statistic
- 0.72
Further findings
| Outcome | Derivation | Validation |
|---|---|---|
| Prevalence of bladder cancer by cohort | 2.2% · n = 4174 | 1.8% · n = 1731 |
Original publication
Risk prediction of bladder cancer among person with diabetes: A derivation and validation study. Diabet Med. Published 23 August 2023. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →