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Empa PASS on Urinary Tract Malignancies

Post-authorisation Safety Study to Assess the Risk of Urinary Tract Malignancies in Relation to Empagliflozin Exposure in Patients With Type 2 Diabetes: a Multi-database European Study

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT03464045
Enrollment
344995
Registered
2018-03-13
Start date
2016-11-16
Completion date
2024-03-11
Last updated
2025-04-20

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Diabetes Mellitus, Type 2

Brief summary

The aim of the study is to assess the risk of urinary tract malignancies in patients initiating empagliflozin (free or fixed dose combination) compared to patients initiating a dipeptidyl peptidase-4 (DPP-4) inhibitor.

Interventions

DRUGempagliflozin

empagliflozin

DPP-4 inhibitors

Sponsors

Eli Lilly and Company
CollaboratorINDUSTRY
Boehringer Ingelheim
Lead SponsorINDUSTRY

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* Diagnosis of type 2 diabetes * Age over 18 years at index date * At least 1 year of membership in the medication database prior to index date

Exclusion criteria

* Patients with any cancer (excluding non-melanoma skin cancer) recorded at any time prior to the index date (i.e. during the available look-back time) * Diagnosis of type 1 diabetes or other specific non-type 2 diabetes * Use of any SGLT-2 inhibitor or any DPP-4 inhibitor (including free and fixed-dose combinations) recorded at any time prior to index date (i.e. during the available look-back time). * Use of fixed-dose combinations of SGLT-2 inhibitors with DPP-4 inhibitors * Diagnosis of end stage renal disease or receipt of renal dialysis recorded at any time prior to index date (i.e. during the available look-back time)

Design outcomes

Primary

MeasureTime frameDescription
Occurrence of Urinary Tract CancerFrom 181 days after index date until the occurrence of a censoring event or cancer outcome event. Up to 6 (Sweden/Finland) or 7 years (UK).Occurrence of urinary tract cancer, which include malignant neoplasm and carcinoma in situ of the urinary tract, is reported as incidence rates per 1000 patient years. Incidence rates were estimated using Poisson regression and computed as the number of outcome events divided by the total person-time-at-risk (in years), multiplied by 1,000 for easier comparison. The country-level datasets were analyzed separately. Thereafter, pooled incidence rates were estimated using the aggregated number of outcome events and time-at-risk of all study countries using the Poisson regression.
Occurrence of Bladder CancerFrom 181 days after index date until the occurrence of a censoring event or cancer outcome event. Up to 6 (Sweden/Finland) or 7 years (UK).Occurrence of bladder cancer, malignant and carcinoma in situ, is reported as incidence rates per 1000 patient years. Incidence rates were estimated using Poisson regression and computed as the number of outcome events divided by the total person-time-at-risk (in years), multiplied by 1,000 for easier comparison. The country-level datasets were analyzed separately. Thereafter, pooled incidence rates were estimated using the aggregated number of outcome events and time-at-risk of all study countries using the Poisson regression.
Occurrence of Renal CancerFrom 181 days after index date until the occurrence of a censoring event or cancer outcome event. Up to 6 (Sweden/Finland) or 7 years (UK).Occurrence of malignant renal cancer is reported as incidence rates per 1000 patient years. Incidence rates were estimated using Poisson regression and computed as the number of outcome events divided by the total person-time-at-risk (in years), multiplied by 1,000 for easier comparison. The country-level datasets were analyzed separately. Thereafter, pooled incidence rates were estimated using the aggregated number of outcome events and time-at-risk of all study countries using the Poisson regression.

Countries

Finland, Sweden, United Kingdom

Participant flow

Recruitment details

This was a non-interventional, comparative, cohort-based Post-authorisation-safety study (PASS) to assess the risk of urinary tract malignancies in patients affected by type 2 diabetes mellitus initiating empagliflozin or dipeptidyl peptidase-4 inhibitor (DPP-4i) between 1-Aug-2014 and 31-Dec-2021 in the United Kingdom (UK), Sweden, and Finland.

Pre-assignment details

Throughout the study, different data extraction timepoints were used, starting from 2016 to 2023, and retrospective data was analyzed. Only subjects that met all inclusion and none of the exclusion criteria were included.

Participants by arm

ArmCount
Empagliflozin Initiators - UK
Participants with Type 2 diabetes mellitus (T2D) initiating (first purchase/prescription) empagliflozin (study drug), in free form or in fixed-dose combination with metformin, between 1-Aug-2014 and 31-Dec-2021 (index date), and with more than 6 months of possible follow-up (index date less than 6 months prior to end of study date). The study population was identified from Clinical Practice Research Datalink (CPRD) (General practitioner Online Data \[GOLD\], and Aurum) in the United Kingdom (UK).
27,410
DPP4-i Initiators - UK
Participants with T2D initiating (first purchase/prescription) a dipeptidyl peptidase-4 inhibitor (DPP-4i) (comparator), in free form or in fixed-dose combination with metformin, between 1-Aug-2014 and 31-Dec-2021 (index date), and with more than 6 months of possible follow-up (index date less than 6 months prior to end of study date). The study population was identified from CPRD (General practitioner Online Data \[GOLD\], and Aurum) in the UK.
123,334
Empagliflozin Initiators - Sweden
Participants with T2D initiating (first purchase/prescription) empagliflozin (study drug), in free form or in fixed-dose combination with metformin, between 1-Aug-2014 and 31-Dec-2020 (index date), and with more than 6 months of possible follow-up (index date less than 6 months prior to end of study date). The study population was identified from the nationwide registers in Sweden.
35,954
DPP4-i Initiators - Sweden
Participants with T2D initiating (first purchase/prescription) a dipeptidyl peptidase-4 inhibitor (DPP-4i) (comparator), in free form or in fixed-dose combination with metformin, between 1-Aug-2014 and 31-Dec-2020 (index date), and with more than 6 months of possible follow-up (index date less than 6 months prior to end of study date). The study population was identified from the nationwide registers in Sweden.
73,623
Empagliflozin Initiators - Finland
Participants with T2D initiating (first purchase/prescription) empagliflozin (study drug), in free form or in fixed-dose combination with metformin, between 1-Aug-2014 and 31-Dec-2020 (index date), and with more than 6 months of possible follow-up (index date less than 6 months prior to end of study date). The study population was identified from the nationwide registers in Finland.
21,942
DPP4-i Initiators - Finland
Participants with T2D initiating (first purchase/prescription) a dipeptidyl peptidase-4 inhibitor (DPP-4i) (comparator), in free form or in fixed-dose combination with metformin, between 1-Aug-2014 and 31-Dec-2020 (index date), and with more than 6 months of possible follow-up (index date less than 6 months prior to end of study date). The study population was identified from the nationwide registers in Finland.
62,732
Total344,995

Baseline characteristics

CharacteristicEmpagliflozin Initiators - UKDPP4-i Initiators - UKEmpagliflozin Initiators - SwedenDPP4-i Initiators - SwedenEmpagliflozin Initiators - FinlandDPP4-i Initiators - FinlandTotal
Age, Continuous56.51 Years
STANDARD_DEVIATION 10.96
63.50 Years
STANDARD_DEVIATION 13.24
62.75 Years
STANDARD_DEVIATION 11.18
66.65 Years
STANDARD_DEVIATION 12.66
60.11 Years
STANDARD_DEVIATION 11.84
66.04 Years
STANDARD_DEVIATION 13.42
63.78 Years
STANDARD_DEVIATION 12.93
Race and Ethnicity Not Collected0 Participants
Sex: Female, Male
Female
16922 Participants72124 Participants24825 Participants44352 Participants13048 Participants34233 Participants205504 Participants
Sex: Female, Male
Male
10488 Participants51210 Participants11129 Participants29271 Participants8894 Participants28499 Participants139491 Participants

Adverse events

Event typeEG000
affected / at risk
EG001
affected / at risk
EG002
affected / at risk
EG003
affected / at risk
EG004
affected / at risk
EG005
affected / at risk
deaths
Total, all-cause mortality
0 / 00 / 00 / 00 / 00 / 00 / 0
other
Total, other adverse events
0 / 00 / 00 / 00 / 00 / 00 / 0
serious
Total, serious adverse events
0 / 00 / 00 / 00 / 00 / 00 / 0

Outcome results

Primary

Occurrence of Bladder Cancer

Occurrence of bladder cancer, malignant and carcinoma in situ, is reported as incidence rates per 1000 patient years. Incidence rates were estimated using Poisson regression and computed as the number of outcome events divided by the total person-time-at-risk (in years), multiplied by 1,000 for easier comparison. The country-level datasets were analyzed separately. Thereafter, pooled incidence rates were estimated using the aggregated number of outcome events and time-at-risk of all study countries using the Poisson regression.

Time frame: From 181 days after index date until the occurrence of a censoring event or cancer outcome event. Up to 6 (Sweden/Finland) or 7 years (UK).

Population: Main analysis population: participants that were matched using propensity scores (PS) conditional on variables such as index date, disease progression, comorbidities, treatment history, age, and sex; and who did not have observations of any censoring events or outcome cancer events within the latency period (spanning 180 days after the index date).

ArmMeasureValue (NUMBER)
Empagliflozin Initiators - UK, PS-matchedOccurrence of Bladder Cancer0.45 Events per 1000 patient years
DPP4-i Initiators - UK, PS-matchedOccurrence of Bladder Cancer0.67 Events per 1000 patient years
Empagliflozin Initiators - Sweden, PS-matchedOccurrence of Bladder Cancer0.92 Events per 1000 patient years
DPP4-i Initiators - Sweden, PS-matchedOccurrence of Bladder Cancer1.03 Events per 1000 patient years
Empagliflozin Initiators - Finland, PS-matchedOccurrence of Bladder Cancer0.51 Events per 1000 patient years
DPP4-i Initiators - Finland, PS-matchedOccurrence of Bladder Cancer0.64 Events per 1000 patient years
Empagliflozin Initiators - All Countries, PS-matchedOccurrence of Bladder Cancer0.63 Events per 1000 patient years
DPP4-i Initiators - All Countries, PS-matchedOccurrence of Bladder Cancer0.74 Events per 1000 patient years
Comparison: Crude HRs were calculated using a Cox proportional hazards model with as-treated exposure (continuous exposure to the study drugs, defined as having consecutive treatment episodes separated by a grace period of 30 days, starting from index date) as the only included variable. Country-level HRs were analyzed separately. Thereafter, random-effects meta-analyses were conducted to pool the HRs from all countries, accounting for potential heterogeneity between the country-level effect sizes.p-value: 0.2295% CI: [0.55, 1.15]Regression, Cox
Comparison: Base HRs were calculated using a Cox proportional hazards model by adjusting for variables unbalanced after PS matching. To be included in the Cox model, each covariate is required to have a minimum of 5 events per category level to avoid converge failure.~Country-level HRs were analyzed separately. Thereafter, random-effects meta-analyses were conducted to pool the HRs from all countries, accounting for potential heterogeneity between the country-level effect sizes.p-value: 0.62895% CI: [0.63, 1.32]Regression, Cox
Comparison: Adjusted HRs were calculated using a Cox proportional hazards model by adjusting for variables unbalanced after PS matching, and pre-specified time-varying covariates. To be included in the Cox model, each covariate is required to have a minimum of 5 events per category level. Country-level HRs were analyzed separately. Thereafter, random-effects meta-analyses were conducted to pool the HRs from all countries, accounting for potential heterogeneity between the country-level effect sizes.p-value: 0.63295% CI: [0.63, 1.33]Regression, Cox
Primary

Occurrence of Renal Cancer

Occurrence of malignant renal cancer is reported as incidence rates per 1000 patient years. Incidence rates were estimated using Poisson regression and computed as the number of outcome events divided by the total person-time-at-risk (in years), multiplied by 1,000 for easier comparison. The country-level datasets were analyzed separately. Thereafter, pooled incidence rates were estimated using the aggregated number of outcome events and time-at-risk of all study countries using the Poisson regression.

Time frame: From 181 days after index date until the occurrence of a censoring event or cancer outcome event. Up to 6 (Sweden/Finland) or 7 years (UK).

Population: Main analysis population: participants that were matched using propensity scores (PS) conditional on variables such as index date, disease progression, comorbidities, treatment history, age, and sex; and who did not have observations of any censoring events or outcome cancer events within the latency period (spanning 180 days after the index date).

ArmMeasureValue (NUMBER)
Empagliflozin Initiators - UK, PS-matchedOccurrence of Renal Cancer0.24 Events per 1000 patient years
DPP4-i Initiators - UK, PS-matchedOccurrence of Renal Cancer0.34 Events per 1000 patient years
Empagliflozin Initiators - Sweden, PS-matchedOccurrence of Renal Cancer0.42 Events per 1000 patient years
DPP4-i Initiators - Sweden, PS-matchedOccurrence of Renal Cancer0.50 Events per 1000 patient years
Empagliflozin Initiators - Finland, PS-matchedOccurrence of Renal Cancer0.76 Events per 1000 patient years
DPP4-i Initiators - Finland, PS-matchedOccurrence of Renal Cancer0.82 Events per 1000 patient years
Empagliflozin Initiators - All Countries, PS-matchedOccurrence of Renal Cancer0.45 Events per 1000 patient years
DPP4-i Initiators - All Countries, PS-matchedOccurrence of Renal Cancer0.51 Events per 1000 patient years
Comparison: Crude HRs were calculated using a Cox proportional hazards model with as-treated exposure (continuous exposure to the study drugs, defined as having consecutive treatment episodes separated by a grace period of 30 days, starting from index date) as the only included variable. Country-level HRs were analyzed separately. Thereafter, random-effects meta-analyses were conducted to pool the HRs from all countries, accounting for potential heterogeneity between the country-level effect sizes.p-value: 0.4295% CI: [0.54, 1.29]Regression, Cox
Comparison: Base HRs were calculated using a Cox proportional hazards model by adjusting for variables unbalanced after PS matching. To be included in the Cox model, each covariate is required to have a minimum of 5 events per category level to avoid converge failure.~Country-level HRs were analyzed separately. Thereafter, random-effects meta-analyses were conducted to pool the HRs from all countries, accounting for potential heterogeneity between the country-level effect sizes.p-value: 0.60695% CI: [0.57, 1.38]Regression, Cox
Comparison: Adjusted HRs were calculated using a Cox proportional hazards model by adjusting for variables unbalanced after PS matching, and pre-specified time-varying covariates. To be included in the Cox model, each covariate is required to have a minimum of 5 events per category level. Country-level HRs were analyzed separately. Thereafter, random-effects meta-analyses were conducted to pool the HRs from all countries, accounting for potential heterogeneity between the country-level effect sizes.p-value: 0.60995% CI: [0.57, 1.38]Regression, Cox
Primary

Occurrence of Urinary Tract Cancer

Occurrence of urinary tract cancer, which include malignant neoplasm and carcinoma in situ of the urinary tract, is reported as incidence rates per 1000 patient years. Incidence rates were estimated using Poisson regression and computed as the number of outcome events divided by the total person-time-at-risk (in years), multiplied by 1,000 for easier comparison. The country-level datasets were analyzed separately. Thereafter, pooled incidence rates were estimated using the aggregated number of outcome events and time-at-risk of all study countries using the Poisson regression.

Time frame: From 181 days after index date until the occurrence of a censoring event or cancer outcome event. Up to 6 (Sweden/Finland) or 7 years (UK).

Population: Main analysis population: participants that were matched using propensity scores (PS) conditional on variables such as index date, disease progression, comorbidities, treatment history, age, and sex; and who did not have observations of any censoring events or outcome cancer events within the latency period (spanning 180 days after the index date).

ArmMeasureValue (NUMBER)
Empagliflozin Initiators - UK, PS-matchedOccurrence of Urinary Tract Cancer0.73 Events per 1000 patient years
DPP4-i Initiators - UK, PS-matchedOccurrence of Urinary Tract Cancer1.07 Events per 1000 patient years
Empagliflozin Initiators - Sweden, PS-matchedOccurrence of Urinary Tract Cancer1.34 Events per 1000 patient years
DPP4-i Initiators - Sweden, PS-matchedOccurrence of Urinary Tract Cancer1.52 Events per 1000 patient years
Empagliflozin Initiators - Finland, PS-matchedOccurrence of Urinary Tract Cancer1.27 Events per 1000 patient years
DPP4-i Initiators - Finland, PS-matchedOccurrence of Urinary Tract Cancer1.49 Events per 1000 patient years
Empagliflozin Initiators - All Countries, PS-matchedOccurrence of Urinary Tract Cancer1.10 Events per 1000 patient years
DPP4-i Initiators - All Countries, PS-matchedOccurrence of Urinary Tract Cancer1.29 Events per 1000 patient years
Comparison: Crude HRs were calculated using a Cox proportional hazards model with as-treated exposure (continuous exposure to the study drugs, defined as having consecutive treatment episodes separated by a grace period of 30 days, starting from index date) as the only included variable. Country-level HRs were analyzed separately. Thereafter, random-effects meta-analyses were conducted to pool the HRs from all countries, accounting for potential heterogeneity between the country-level effect sizes.p-value: 0.12295% CI: [0.61, 1.06]Regression, Cox
Comparison: Base HRs were calculated using a Cox proportional hazards model by adjusting for variables unbalanced after PS matching. To be included in the Cox model, each covariate is required to have a minimum of 5 events per category level to avoid converge failure.~Country-level HRs were analyzed separately. Thereafter, random-effects meta-analyses were conducted to pool the HRs from all countries, accounting for potential heterogeneity between the country-level effect sizes.p-value: 0.41795% CI: [0.67, 1.18]Regression, Cox
Comparison: Adjusted HRs were calculated using a Cox proportional hazards model by adjusting for variables unbalanced after PS matching, and pre-specified time-varying covariates. To be included in the Cox model, each covariate is required to have a minimum of 5 events per category level. Country-level HRs were analyzed separately. Thereafter, random-effects meta-analyses were conducted to pool the HRs from all countries, accounting for potential heterogeneity between the country-level effect sizes.p-value: 0.37695% CI: [0.66, 1.17]Regression, Cox

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026