Study type

Study topic

Human medicinal product

Study type

Non-interventional study

Scope of the study

Effectiveness study (incl. comparative)

Data collection methods

Secondary use of data
Non-interventional study

Non-interventional study design

Other

Non-interventional study design, other

Indirect treatment comparison
Study drug and medical condition

Name of medicine, other

Tarlatamab

Medical condition to be studied

Small cell lung cancer recurrent

Additional medical condition(s)

Relapsed or refractory small cell lung cancer
Population studied

Age groups

Adult and elderly population (≥18 years)
Adults (18 to < 65 years)
Adults (18 to < 46 years)
Adults (46 to < 65 years)
Adults (65 to < 75 years)
Adults (75 to < 85 years)
Adults (85 years and over)

Special population of interest

Other

Special population of interest, other

Relapsed or refractory small cell lung cancer
Study design details

Study design

A patient-level ITC study will be conducted to estimate relative treatment effects of tarlatamab vs. comparator therapies among patients with relapsed or refractory SCLC who have progressed or recurred following one platinum-based regimen and at least one other line of therapy (LOT).

Main study objective

The main study objective is to estimate the relative effect of tarlatamab versus comparator therapies on overall survival (OS).

Setting

All patients randomized to the 10mg cohort in parts 1 and 2 of DeLLphi-301 trial are included in this study.
Patients meeting the key selection criteria of DeLLphi-301 were identified from the Flatiron data and included in the external control cohort of this study.

Comparators

Real-world physicians’ choice of therapy in 3L+ ES-SCLC setting

Outcomes

Primary outcome:
• OS

Secondary outcome:
• Time to treatment discontinuation (TTD)
• Time to next treatment or death (TTND)

Data analysis plan

For the primary and secondary objectives, OS, TTD, and TTNTD will be compared between tarlatamab and comparator therapy groups before and after weighting, using unweighted and weighted Kaplan-Meier analyses and log rank tests. Hazard ratios will be estimated before and after weighting using unweighted and weighted Cox proportional hazards models, respectively. 95% confidence intervals (CIs) for hazard ratios will be estimated based on a robust sandwich estimator.