Evidence map›Paper›PMID 34804634›Full record

ArticleJournal of cancer therapy2021

Using Novel Statistical Techniques to Accurately Determine the Predictive Dose Range in a Study of Overall Survival after Definitive Radiotherapy for Stage III Non-Small Cell Lung Cancer in Association with Heart Dose.

Joshua R Niska, Jiuyun Hu, Jing Li, Michael G Herman, Cameron S Thorpe, Steven E Schild, Mirek Fatyga

Open access · diamondAbstract read
In one paragraph

Article in Journal of cancer therapy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 30% 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

5 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. 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

7 authors at 6 institutions in 1 country.

Joshua R NiskaDepartment of Radiation Oncology, Banner MD Anderson Cancer Center, Phoenix, Arizona, USA.
Jiuyun HuSchool of Computing, Informatics, and Decision Systems Engineering, Tempe, Arizona, USA.
Jing LiSchool of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, Georgia, USA.
Michael G HermanDepartment of Radiation Oncology, Mayo Clinic, Rochester, Minnesota, USA.
Cameron S ThorpeDepartment of Radiation Oncology, Mayo Clinic, Phoenix, Arizona, USA.
Steven E SchildDepartment of Radiation Oncology, Mayo Clinic, Phoenix, Arizona, USA.
Mirek FatygaDepartment of Radiation Oncology, Mayo Clinic, Phoenix, Arizona, USA.
WinnMed · USBanner MD Anderson Cancer CenterDecision Systems (United States) · USGeorgia Institute of Technology · USMayo Clinic · USMayo Clinic in Florida · US

Funding

TRANSLATIONAL RESEARCHU10CA025224 · NCI · MAYO CLINIC ROCHESTER · PI BUCKNER, JAN C · 1985 to 2013
$85.0M
SUPPLEMENTU10CA037404 · NCI · MAYO CLINIC ROCHESTER · PI LOPRINZI, CHARLES L · 1985 to 2014
$34.8M
COMMUNITY CLINICAL ONCOLOGY PROGRAMU10CA035431 · NCI · VIA CHRISTI REGIONAL MEDICAL CENTER · PI DAKHIL, SHAKER R · 1985 to 2014
$24.0M
W METRO-MINNEAPOLIS COMMUNITY CLINICAL ONCOLOGY PROGRAMU10CA035267 · NCI · PARK NICOLLET INSTITUTE · PI LEACH, JOSEPH · 1985 to 2014
$23.2M
UPSTATE CAROLINA COMMUNITY CLINICAL ONCOLOGY PROGRAMU10CA035119 · NCI · SPARTANBURG REGIONAL MEDICAL CENTER · PI BEARDEN, JAMES D · 1985 to 2013
$21.5M
MICHIGAN CANCER RESEARCH CONSORTIUM CCOPU10CA063848 · NCI · SAINT JOSEPH MERCY HEALTH SYSTEM · PI STELLA, PHILIP J · 1994 to 2014
$17.2M
DAYTON CLINICAL ONCOLOGY PROGRAMU10CA035090 · NCI · KETTERING MEDICAL CENTER · PI GROSS, HOWARD M · 1985 to 2014
$12.0M
SIOUX COMMUNITY CANCER CONSORTIUMU10CA035103 · NCI · UNIVERSITY OF SOUTH DAKOTA · PI MAZURCZAK, MIROSLAW · 1985 to 2014
$11.6M
MISSOURI VALLEY CANCER CONSORTIUM CCOPU10CA063849 · NCI · MISSOURI VALLEY CANCER CONSORTIUM, INC. · PI SOORI, GAMINI · 1994 to 2014
$11.3M
COMMUNITY CLINICAL ONCOLOGY PROGRAMU10CA035195 · NCI · CARLE FOUNDATION HOSPITAL (URBANA, IL) · PI ROWLAND, KENDRITH MARTIN · 1985 to 2014
$11.3M
Illinois Oncology Research Association Community Clinical Oncology ProgramU10CA035113 · NCI · ONCOLOGY-HEMATOLOGY ASSOC-CENTRAL ILL · PI LE-LINDQWISTER, NGUYET A. · 1985 to 2014
$10.8M
IOWA ONCOLOGY RESEARCH ASSOCIATION CCOPU10CA035101 · NCI · IOWA ONCOLOGY RESEARCH ASSOCIATION · PI BEHRENS, ROBERT J. · 1985 to 2014
$10.1M
NCI NIH HHS N01 CA035119NCI NIH HHS N01 CA035431NCI NIH HHS U10 CA025224NCI NIH HHS U10 CA035090NCI NIH HHS U10 CA035101NCI NIH HHS U10 CA035103NCI NIH HHS U10 CA035113NCI NIH HHS U10 CA035119NCI NIH HHS U10 CA035195NCI NIH HHS U10 CA035267NCI NIH HHS U10 CA035415NCI NIH HHS U10 CA035431NCI NIH HHS U10 CA037404NCI NIH HHS U10 CA063848NCI NIH HHS U10 CA063849
6 · The paper itself

Abstract

purposeRecent studies of radiotherapy (RT) for stage III non-small-cell lung cancer (NSCLC) have associated high dose to the heart with cardiac toxicity and decreased overall survival (OS). We used advanced statistical techniques to account for correlations between dosimetric variables and more accurately determine the range of heart doses which are associated with reduced OS in patients receiving RT for stage III NSCLC.

methodsFrom 2006 to 2013, 119 patients with stage III NSCLC received definitive RT at our institution. OS data was obtained from institutional tumor registry. We used multivariate Cox model to determine patient specific covariates predictive for reduced overall survival. We examined age, prescription dose, mean lung dose, lung V20, RT technique, stage, chemotherapy, tumor laterality, tumor volume, and tumor site as candidate covariates. We subsequently used novel statistical techniques within multivariate Cox model to systematically search the whole heart dose-volume histogram (DVH) for dose parameters associated with OS.

resultsPatients were followed until death or 2.5 to 81.2 months (median 30.4 months) in those alive at last follow up. On multivariate analysis of whole heart DVH, the dose of 51 Gy was identified as a threshold dose above which the dose volume relationship becomes predictive for OS. We identified V55Gy (percentage of the whole heart volume receiving at least 55 Gy) as the best single DVH index which can be used to set treatment optimization constraints (Hazard Ratio = 1.044 per 1% increase in heart volume exposed to at least 55 Gy, P = 0.03). Additional characteristics correlated with OS on multivariate analysis were age, stage (IIIA/IIIB), and administration of chemotherapy.

conclusionDoses above 51 Gy, applied to small volumes of the heart, are associated with worse OS in stage III NSCLC patients treated with definitive RT. Higher stage, older age and lack of chemotherapy were also associated with reduced OS.

Indexed as

Cardiac ToxicityLung CancerLung Radiation TherapyNon-Small Cell Lung CancerRadiation Toxicity

Identifiers

PMID34804634
PMCPMC8601657
OpenAlexW3203743256

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.