Calibrating Observational Health Record Data Against a Randomized Trial

In this cohort study piloting an RCT emulation, results were incongruous with the benchmark trial. Differences in patient treatment and data capture between the RCT and EHR populations, confounding by indication, treatment crossover, and accuracy of captured diagnoses may explain these findings. Future feasibility assessments will require data sources to have important oncology-specific measures curated.

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Publication Details

Journal
JAMA Network Open
Published
2024-09-30
DOI
https://doi.org/10.1001/jamanetworkopen.2024.36535
Citations
7
Primary Topic
Lung Cancer Treatments and Mutations
Type
article
Field-Weighted Citation Impact
2.93
Controls
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article

Calibrating Observational Health Record Data Against a Randomized Trial

Chithra Sangli, Simone Pinheiro, Sebastian Schneeweiß, Asher Wasserman et al.
7 citations
JAMA Network Open
Lung Cancer Treatments and Mutations
2.93
article

Calibrating Observational Health Record Data Against a Randomized Trial

Chithra Sangli, Simone Pinheiro, Sebastian Schneeweiß, Asher Wasserman, Rachele Hendricks‐Sturrup, Ulka B. Campbell, Osayi E. Ovbiosa, David Lenis, Joy C. Eckert, Carla V. Rodriguez, Yiduo Zhang, Mark A. Shapiro, Lauren B. Becnel, Sajan Khosla, Ann M. Madsen, Megan Rees, Shirley Wang, Lynn McRoy, K. Arnold Chan, Mark Stewart, Joel Greshock, Brian San Francisco, Andrew J. Belli, Orsolya Lunacsek, Nelson D. Pace, Khaled Sarsour, Gillis Carrigan, Amanda Bruno, Ben Taylor, Neil Dhopeshwarkar, Jennifer R. Rider, Raymond A. Harvey, Mothaffar F. Rimawi, Jameson Quinn, Laura L. Fernandes, David Merola, Aliki Taylor, James Chen, Jenny Huang, Yana Natanzon, Travis Robinson, Victoria Chia, Churou Wang, Xiaolong Jiao
article en
7 citations

Abstract

In this cohort study piloting an RCT emulation, results were incongruous with the benchmark trial. Differences in patient treatment and data capture between the RCT and EHR populations, confounding by indication, treatment crossover, and accuracy of captured diagnoses may explain these findings. Future feasibility assessments will require data sources to have important oncology-specific measures curated.

JAMA Network OpenVol. 7(9)
Brigham and Women's Hospital (US), Amgen (United States) (US), Johnson & Johnson (United States) (US), Harvard University (US), Bayer (United States) (US), Pfizer (United States) (US), Baylor College of Medicine (US), Reagan-Udall Foundation (US), AbbVie (United States) (US), Center for Neuro-Oncology (US), Aetion (United States) (US), EP Analytics (United States) (US), Concert Pharmaceuticals (United States) (US), Tempus Labs (United States) (US), Gilead Sciences (United States) (US), AstraZeneca (United States) (US), TriNetX (United States) (US), Medidata (United States) (US), Friends of Cancer Research (US)
Good health and well-being
Openalex Percentile: Top 8%
Lung Cancer Treatments and Mutations
2.93
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