Supplementary file 1_Real-world treatment patterns and outcomes for patients with extensiv

3,484 patient records from a retrospective cohort study using electronic health records from US community oncology practices. The dataset describes treatment patterns and clinical outcomes for patients with extensive-stage small-cell lung cancer who initiated first-line systemic therapy between October 2018 and June 2023. It was authored by Himani Aggarwal and last updated in May 2026.

Use Cases

• Analyze adoption rates of immune checkpoint inhibitors plus chemotherapy based on first-line treatment patterns
• Model survival outcomes based on real-world overall survival and time on treatment metrics
• Compare treatment effectiveness between de novo and progressive/recurrent disease based on patient characteristics
• Evaluate unmet clinical needs based on the proportion of patients not receiving second-line therapy

Strengths

• Includes 3,484 patient records with detailed treatment and outcome tracking
• Provides specific median survival metrics, such as 9.99 months for real-world overall survival in first-line
• Covers a defined time period from October 2018 to June 2024 for longitudinal analysis

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment
• Data may reflect geographic and source bias inherent to the iKnowMed EHR system

Provenance

Source

Secondary structured electronic health records from the iKnowMed system

Collection Method

Retrospective cohort study using descriptive analyses and Kaplan–Meier methods

Time Range

First-line therapy initiation between 1 October 2018 and 30 June 2023, with follow-up through 30 June 2024

Freshness

Last updated 2026-05-22 04:27:55

Geography

US community oncology practices