Evidence map›Paper›PMID 33484786›Full record

ArticleInternational journal of radiation oncology, biology, physics2021

Revisiting a Null Hypothesis: Exploring the Parameters of Oligometastasis Treatment.

Jessica A Scarborough, Martin C Tom, Michael W Kattan, Jacob G Scott

Open access · greenAbstract read
In one paragraph

Article in International journal of radiation oncology, biology, physics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 33% 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

3 citing papers in PubMed, 12 citations in OpenAlex.

  1. Treatment of evolving cancers will require dynamic decision support.Annals of oncology : official journal of the European Society for Medical Oncology · 2023
    Review
  2. Article
  3. Article
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

4 authors at 2 institutions in 1 country.

Jessica A ScarboroughTranslational Hematology and Oncology Research, Cleveland Clinic, Cleveland, Ohio; Systems Biology and Bioinformatics Program, Department of Nutrition, Case Western Reserve School of Medicine, Cleveland, Ohio.
Martin C TomDepartment of Radiation Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, Florida.
Michael W KattanDepartment of Quantitative Health Sciences, Cleveland Clinic, Cleveland, Ohio.
Jacob G ScottTranslational Hematology and Oncology Research, Cleveland Clinic, Cleveland, Ohio; Systems Biology and Bioinformatics Program, Department of Nutrition, Case Western Reserve School of Medicine, Cleveland, Ohio; Department of Radiation Oncology, Cleveland Clinic, Cleveland, Ohio. Electronic address: scottj10@ccf.org.
Cleveland Clinic · USBaptist Hospital of Miami · US

Funding

MEDICAL SCIENTIST TRAINING PROGRAMT32GM007250 · NIGMS · CASE WESTERN RESERVE UNIVERSITY · PI HUANG, ALEX YEE-CHEN · 1985 to 2023
$33.4M
TRANSLATIONAL RESEARCH ONCOLOGY TRAINING GRANTK12CA076917 · NCI · CASE WESTERN RESERVE UNIVERSITY · PI GERSON, STANTON L. · 1997 to 2022
$14.2M
Exploiting Ecology and Evolution to Prevent Therapy Resistance in EGFR-Driven Lung CancerR37CA244613 · NCI · CLEVELAND CLINIC LERNER COM-CWRU · PI Jacob Gardinier Scott · 2020 to 2026
$4.0M
NCI NIH HHS K12 CA076917NCI NIH HHS R37 CA244613NIGMS NIH HHS T32 GM007250
6 · The paper itself

Abstract

purposeIn the treatment of patients with metastatic cancer, the current paradigm states that metastasis-directed therapy does not prolong life. This paradigm forms the basis of clinical trial null hypotheses, where trials are built to test the null hypothesis that patients garner no overall survival benefit from targeting metastatic lesions. However, with advancing imaging technology and increasingly precise techniques for targeting lesions, a much larger proportion of metastatic disease can be treated. As a result, the life-extending benefit of targeting metastatic disease is becoming increasingly clear. METHODS AND MATERIALS: In this work, we suggest shifting this qualitative null hypothesis and describe a mathematical model that can be used to frame a new, quantitative null. We begin with a very simple formulation of tumor growth, an exponential function, and illustrate how the same intervention (removing a given number of cells from the tumor) at different times affects survival. Additionally, we postulate where recent clinical trials fit into this parameter space and discuss the implications of clinical trial design in changing these quantitative parameters.

resultsOur model shows that although any amount of cell kill will extend survival, in many cases the extent is so small as to be unnoticeable in a clinical context or is outweighed by factors related to toxicity and treatment time.

conclusionsRecasting the null in these quantitative terms will allow trialists to design trials specifically to increase understanding of the circumstances (patient selection, disease burden, tumor growth kinetics) that can lead to improved overall survival when targeting metastatic lesions, rather than whether targeting metastases extends survival for patients with (oligo-) metastatic disease.

Indexed as

Clinical Trials as TopicModels, TheoreticalGrowthHumansNeoplasm MetastasisNeoplasmsResearch DesignStatistics as TopicTime Factors

Identifiers

PMID33484786
PMCPMC8122026
OpenAlexW3125013865

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.