Evidence map›Paper›PMID 31350853›Full record

Trial reportClinical pharmacology and therapeutics2020

Using Electronic Health Records to Derive Control Arms for Early Phase Single-Arm Lung Cancer Trials: Proof-of-Concept in Randomized Controlled Trials.

Gillis Carrigan, Samuel Whipple, William B Capra, Michael D Taylor, Jeffrey S Brown, Michael Lu, Brandon Arnieri, Ryan Copping, Kenneth J Rothman

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Clinical pharmacology and therapeutics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

53 citing papers in PubMed.

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  5. Pertuzumab Plus Trastuzumab for Treatment-RefractoryJCO clinical cancer informatics · 2022
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  7. Article
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  19. Clinical Research Informatics: a Decade-in-Review.Yearbook of medical informatics · 2024
    Review
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Gillis CarriganGenentech, South San Francisco, California, USA.
Samuel WhippleGenentech, South San Francisco, California, USA.
William B CapraGenentech, South San Francisco, California, USA.
Michael D TaylorGenentech, South San Francisco, California, USA.
Jeffrey S BrownDepartment of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA.
Michael LuGenentech, South San Francisco, California, USA.
Brandon ArnieriGenentech, South San Francisco, California, USA.
Ryan CoppingGenentech, South San Francisco, California, USA.
Kenneth J RothmanResearch Triangle International, Boston, Massachusetts, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Oncology drug development increasingly relies on single-arm clinical trials. External controls (ECs) derived from electronic health record (EHR) databases may provide additional context. Patients from a US-based oncology EHR database were aligned with patients from randomized controlled trials (RCTs) and trial-specific eligibility criteria were applied to the EHR dataset. Overall survival (OS) in the EC-derived control arm was compared with OS in the RCT experimental arm. The primary outcome was OS, defined as time from randomization or treatment initiation (EHR) to death. Cox regression models were used to obtain effect estimates using EHR data. EC-derived hazard ratio estimates aligned closely with those from the corresponding RCT with one exception. Comparing log HRs among all RCT and EC results gave a Pearson correlation coefficient of 0.86. Properly selected control arms from contemporaneous EHR data could be used to put single-arm trials of OS in advanced non-small cell lung cancer into context.

Indexed as

Research DesignCarcinoma, Non-Small-Cell LungDatabases, FactualElectronic Health RecordsHumansLung NeoplasmsProportional Hazards ModelsSurvival AnalysisUnited States

Identifiers

PMID31350853
PMCPMC7006884

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.