Real‐world Overall Survival Using Oncology Electronic Health Record Data: Friends of Cancer Research Pilot. Issue 2 (2nd November 2021)
- Record Type:
- Journal Article
- Title:
- Real‐world Overall Survival Using Oncology Electronic Health Record Data: Friends of Cancer Research Pilot. Issue 2 (2nd November 2021)
- Main Title:
- Real‐world Overall Survival Using Oncology Electronic Health Record Data: Friends of Cancer Research Pilot
- Authors:
- Lasiter, Laura
Tymejczyk, Olga
Garrett‐Mayer, Elizabeth
Baxi, Shrujal
Belli, Andrew J.
Boyd, Marley
Christian, Jennifer B.
Cohen, Aaron B.
Espirito, Janet L.
Hansen, Eric
Sweetnam, Connor
Robert, Nicholas J.
Small, Mackenzie
Stewart, Mark D.
Izano, Monika A.
Wagner, Joseph
Natanzon, Yanina
Rivera, Donna R.
Allen, Jeff - Abstract:
- Abstract : In prior work, Friends of Cancer Research convened multiple data partners to establish standardized definitions for oncology real‐world end points derived from electronic health records (EHRs) and claims data. Here, we assessed the performance of real‐world overall survival (rwOS) from data sets sourced from EHRs by evaluating the ability of the end point to reflect expected differences from a previous randomized controlled trial across five data sources, after applying inclusion/exclusion criteria. The KEYNOTE‐189 clinical trial protocol of platinum doublet chemotherapy (chemotherapy) vs. programmed cell death protein 1 (PD‐1) in combination with platinum doublet chemotherapy (PD‐1 combination) in first‐line nonsquamous metastatic non‐small cell lung cancer guided retrospective cohort selection. The Kaplan‐Meier product limit estimator was used to calculate 12‐month rwOS with 95% confidence intervals (CIs) in each data source. Cox proportional hazards models estimated hazard ratios (HRs) and associated 95% CIs, controlled for prognostic factors. Once the inclusion/exclusion criteria were applied, the five resulting data sets included 155 to 1, 501 patients in the chemotherapy cohort and 36 to 405 patients in the PD‐1 combination cohort. Twelve‐month rwOS ranged from 45% to 58% in the chemotherapy cohort and 44% to 68% in the PD‐1 combination cohort. The adjusted HR for death ranged from 0.80 (95% CI: 0.69, 0.93) to 1.15 (95% CI: 0.71, 1.85), controlling for age,Abstract : In prior work, Friends of Cancer Research convened multiple data partners to establish standardized definitions for oncology real‐world end points derived from electronic health records (EHRs) and claims data. Here, we assessed the performance of real‐world overall survival (rwOS) from data sets sourced from EHRs by evaluating the ability of the end point to reflect expected differences from a previous randomized controlled trial across five data sources, after applying inclusion/exclusion criteria. The KEYNOTE‐189 clinical trial protocol of platinum doublet chemotherapy (chemotherapy) vs. programmed cell death protein 1 (PD‐1) in combination with platinum doublet chemotherapy (PD‐1 combination) in first‐line nonsquamous metastatic non‐small cell lung cancer guided retrospective cohort selection. The Kaplan‐Meier product limit estimator was used to calculate 12‐month rwOS with 95% confidence intervals (CIs) in each data source. Cox proportional hazards models estimated hazard ratios (HRs) and associated 95% CIs, controlled for prognostic factors. Once the inclusion/exclusion criteria were applied, the five resulting data sets included 155 to 1, 501 patients in the chemotherapy cohort and 36 to 405 patients in the PD‐1 combination cohort. Twelve‐month rwOS ranged from 45% to 58% in the chemotherapy cohort and 44% to 68% in the PD‐1 combination cohort. The adjusted HR for death ranged from 0.80 (95% CI: 0.69, 0.93) to 1.15 (95% CI: 0.71, 1.85), controlling for age, gender, performance status, and smoking status. This study yielded insights regarding data capture, including ability of real‐world data to precisely identify patient populations and the impact of criteria on end points. Sensitivity analyses could elucidate data set–specific factors that drive results. … (more)
- Is Part Of:
- Clinical pharmacology & therapeutics. Volume 111:Issue 2(2022)
- Journal:
- Clinical pharmacology & therapeutics
- Issue:
- Volume 111:Issue 2(2022)
- Issue Display:
- Volume 111, Issue 2 (2022)
- Year:
- 2022
- Volume:
- 111
- Issue:
- 2
- Issue Sort Value:
- 2022-0111-0002-0000
- Page Start:
- 444
- Page End:
- 454
- Publication Date:
- 2021-11-02
- Subjects:
- Pharmacology -- Periodicals
Therapeutics -- Periodicals
615.5 - Journal URLs:
- http://www.nature.com/clpt/index.html ↗
http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1532-6535 ↗
http://www.nature.com/ ↗
http://firstsearch.oclc.org ↗
http://www.mosby.com/cpt ↗
http://www.sciencedirect.com/science/journal/00099236 ↗
http://www2.us.elsevierhealth.com/scripts/om.dll/serve?action=searchDB&searchdbfor=home&id=cp ↗ - DOI:
- 10.1002/cpt.2443 ↗
- Languages:
- English
- ISSNs:
- 0009-9236
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3286.330000
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