Evidence map›Paper›PMID 33828294›Full record

ArticleNature2021

Evaluating eligibility criteria of oncology trials using real-world data and AI.

Ruishan Liu, Shemra Rizzo, Samuel Whipple, Navdeep Pal, Arturo Lopez Pineda, Michael Lu, Brandon Arnieri, Ying Lu, William Capra, Ryan Copping and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in Nature, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 159 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
159citing papers in PubMed, 3 pooled it
16.9field-weighted citation impact, top 1% of its field
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

159 citing papers in PubMed, 3 syntheses or guidelines pooled it, 294 citations in OpenAlex.

  1. Pooled it
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  7. Review
  8. AI-based augmentation of oncology clinical trials.Nature reviews. Clinical oncology · 2026
    Review
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99 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 3 institutions in 2 countries.

Ruishan LiuDepartment of Electrical Engineering, Stanford University, Stanford, CA, USA.
Shemra RizzoGenentech, South San Francisco, CA, USA.ORCID http://orcid.org/0000-0002-2413-1131
Samuel WhippleGenentech, South San Francisco, CA, USA.ORCID http://orcid.org/0000-0001-7943-938X
Navdeep PalGenentech, South San Francisco, CA, USA.
Arturo Lopez PinedaGenentech, South San Francisco, CA, USA.ORCID http://orcid.org/0000-0002-3409-1815
Michael LuGenentech, South San Francisco, CA, USA.
Brandon ArnieriGenentech, South San Francisco, CA, USA.
Ying LuDepartment of Biomedical Data Science, Stanford University, Stanford, CA, USA.
William CapraGenentech, South San Francisco, CA, USA.
Ryan CoppingGenentech, South San Francisco, CA, USA. copping.ryan@gene.com.ORCID http://orcid.org/0000-0002-3399-0085
James ZouDepartment of Electrical Engineering, Stanford University, Stanford, CA, USA. jamesz@stanford.edu.ORCID http://orcid.org/0000-0001-8880-4764
Stanford University · USChan Zuckerberg Initiative (United States) · USGene Therapy Laboratory · FR

Funding

Translational Oncology Research Program (Project-005)P30CA124435 · NCI · STANFORD UNIVERSITY · PI Vittorio Sebastiano · 2007 to 2026
$71.4M
Stanford Center for Clinical & Translational Education and Research (Spectrum)UL1TR003142 · NCATS · STANFORD UNIVERSITY · PI O'HARA, RUTH M · 2019 to 2023
$45.0M
Stanford Medicine Center for Longevity and Healthy Aging Research Education CoreP30AG059307 · NIA · STANFORD UNIVERSITY · PI PERIYAKOIL, VYJEYANTHI S, YESAVAGE, JEROME A · 2018 to 2025
$4.9M
NCATS NIH HHS UL1 TR003142NCI NIH HHS P30 CA124435NIA NIH HHS P30 AG059307
6 · The paper itself

Abstract

There is a growing focus on making clinical trials more inclusive but the design of trial eligibility criteria remains challenging

Indexed as

Artificial IntelligenceDatasets as TopicMedical OncologyPatient SafetyPatient SelectionCarcinoma, Non-Small-Cell LungClinical Laboratory TechniquesClinical Trials as TopicElectronic Health RecordsHumansLung NeoplasmsProportional Hazards ModelsReproducibility of Results

Identifiers

PMID33828294
PMCPMC9007176
OpenAlexW3140760072

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.