Evidence map›Paper›PMID 35169116›Full record

ArticleNature communications2022

Cancer patient survival can be parametrized to improve trial precision and reveal time-dependent therapeutic effects.

Deborah Plana, Geoffrey Fell, Brian M Alexander, Adam C Palmer, Peter K Sorger

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 2 pooled it
3.2field-weighted citation impact, top 6% 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

23 citing papers in PubMed, 2 syntheses or guidelines pooled it, 34 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 1 country.

Deborah PlanaLaboratory of Systems Pharmacology and the Department of Systems Biology, Harvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0000-0002-4218-1693
Geoffrey FellDana-Farber Cancer Institute, Boston, MA, USA.ORCID http://orcid.org/0000-0001-6436-6691
Brian M AlexanderDana-Farber Cancer Institute, Boston, MA, USA.
Adam C Palmer *Department of Pharmacology, Computational Medicine Program, UNC Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. palmer@unc.edu.ORCID http://orcid.org/0000-0001-5028-7028
Peter K Sorger *Laboratory of Systems Pharmacology and the Department of Systems Biology, Harvard Medical School, Boston, MA, USA. peter_sorger@hms.harvard.edu.ORCID http://orcid.org/0000-0002-3364-1838
Dana-Farber Cancer Institute · USHarvard University · USUniversity of North Carolina at Chapel Hill · US

Funding

Medical Scientist Training ProgramT32GM007753 · NIGMS · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI WALENSKY, LOREN DAVID · 1985 to 2021
$50.0M
TRANSLATIONAL PHARMACOLOGY COREP50GM107618 · NIGMS · HARVARD MEDICAL SCHOOL · PI GOLAN, DAVID E. · 2014 to 2018
$10.8M
Systems Pharmacology of Therapeutic and Adverse Responses to ImmuneCheckpoint and Small Molecule DrugsU54CA225088 · NCI · HARVARD MEDICAL SCHOOL · PI SHARPE, ARLENE H. · 2018 to 2022
$10.8M
Clinical trial data analysis to design novel treatment regimens in oncologyF30CA260780 · NCI · HARVARD MEDICAL SCHOOL · PI PLANA, DEBORAH · 2021 to 2023
$142k
NCI NIH HHS F30 CA260780NCI NIH HHS U54 CA225088NIGMS NIH HHS P50 GM107618NIGMS NIH HHS T32 GM007753
6 · The paper itself

Abstract

Individual participant data (IPD) from oncology clinical trials is invaluable for identifying factors that influence trial success and failure, improving trial design and interpretation, and comparing pre-clinical studies to clinical outcomes. However, the IPD used to generate published survival curves are not generally publicly available. We impute survival IPD from ~500 arms of Phase 3 oncology trials (representing ~220,000 events) and find that they are well fit by a two-parameter Weibull distribution. Use of Weibull functions with overall survival significantly increases the precision of small arms typical of early phase trials: analysis of a 50-patient trial arm using parametric forms is as precise as traditional, non-parametric analysis of a 90-patient arm. We also show that frequent deviations from the Cox proportional hazards assumption, particularly in trials of immune checkpoint inhibitors, arise from time-dependent therapeutic effects. Trial duration therefore has an underappreciated impact on the likelihood of success.

Indexed as

Cancer SurvivorsClinical Trials as TopicHumansKaplan-Meier EstimateModels, StatisticalNeoplasmsProportional Hazards ModelsResearch Design

Identifiers

PMID35169116
PMCPMC8847344
OpenAlexW4213111042

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.