Evidence map›Paper›PMID 31612208›Full record

ArticleJournal of the National Cancer Institute2020

Simulation of Chemotherapy Effects in Older Breast Cancer Patients With High Recurrence Scores.

Young Chandler, Jinani C Jayasekera, Clyde B Schechter, Claudine Isaacs, Christopher J Cadham, Jeanne S Mandelblatt

Abstract read
In one paragraph

Article in Journal of the National Cancer Institute, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Young ChandlerDepartment of Oncology, Georgetown University Medical Center, Lombardi Comprehensive Cancer Center, Cancer Prevention and Control Program, Washington, DC.
Jinani C JayasekeraDepartment of Oncology, Georgetown University Medical Center, Lombardi Comprehensive Cancer Center, Cancer Prevention and Control Program, Washington, DC.
Clyde B SchechterAlbert Einstein College of Medicine, Montefiore Medical Center, Bronx, NY.
Claudine IsaacsDepartment of Medicine, Georgetown University Medical Center, Lombardi Comprehensive Cancer Center, Breast Cancer Program, Washington, DC.
Christopher J CadhamDepartment of Oncology, Georgetown University Medical Center, Lombardi Comprehensive Cancer Center, Cancer Prevention and Control Program, Washington, DC.
Jeanne S MandelblattDepartment of Oncology, Georgetown University Medical Center, Lombardi Comprehensive Cancer Center, Cancer Prevention and Control Program, Washington, DC.

Funding

Comparative Modeling: Informing Breast Cancer Control Practice & PolicyU01CA152958 · NCI · GEORGETOWN UNIVERSITY · PI BERRY, DONALD A, DE KONING, HARRY J · 2010 to 2015
$7.6M
Bio-behavioral Research At The Intersection of Cancer and AgingR35CA197289 · NCI · GEORGETOWN UNIVERSITY · PI MANDELBLATT, JEANNE · 2015 to 2021
$6.2M
Optimizing Personalized Care Using Economic Studies of Genomic Testing: Supporting Patient-ProviderU01CA183081 · NCI · GEORGETOWN UNIVERSITY · PI LIEU, TRACY A, MANDELBLATT, JEANNE · 2013 to 2017
$2.6M
A Simulation Model-based Framework to Support Oncology Guidelines and PracticeK99CA241397 · NCI · GEORGETOWN UNIVERSITY · PI JAYASEKERA, JINANI · 2020 to 2021
$351k
NCI NIH HHS K99 CA241397NCI NIH HHS R35 CA197289NCI NIH HHS U01 CA152958NCI NIH HHS U01 CA183081
6 · The paper itself

Abstract

backgroundTumor genomic expression profile data are used to guide chemotherapy choice, but there are gaps in evidence for women aged 65 years and older. We estimate chemotherapy effects by age and comorbidity level among women with early-stage, hormone receptor-positive, human epidermal growth factor receptor 2 (HER2)-negative breast cancers and Oncotype DX scores of 26 or higher.

methodsA discrete-time stochastic state transition simulation model synthesized data from population studies and clinical trials to estimate outcomes over a 25-year horizon for subgroups based on age (65-69, 70-74, 75-79, and 80-89 years) and comorbidity levels (no or low, moderate, severe). Outcomes were discounted at 3%, and included quality-adjusted life-years (QALYs), life-years, and breast cancer and other-cause mortality with chemoendocrine vs endocrine therapy. Sensitivity analysis tested the effect of varying uncertain parameters.

resultsWomen aged 65-69 years with no or low comorbidity gained 0.16 QALYs with chemo-endocrine and reduced breast cancer mortality from 34.8% to 29.7%, for an absolute difference of 5.1%; this benefit was associated with a 12.8% rate of grade 3-4 toxicity. Women aged 65-69 years with no or low or moderate comorbidity levels, and women aged 70-74 years with no or low comorbidity had small chemotherapy benefits. All women aged 75 years and older experienced net losses in QALYs with chemo-endocrine therapy. The results were robust in sensitivity analyses. Chemotherapy had greater benefits as treatment effectiveness increased, but toxicity reduced the QALYs gained.

conclusionAmong women aged 65-89 years whose tumors indicate a high recurrence risk, only those aged 65-74 years with no or low or moderate comorbidity have small benefits from adding chemotherapy to endocrine therapy. Genomic expression profile testing (and chemotherapy use) should be reserved for women aged younger than 75 years without severe comorbidity.

Indexed as

AgedAged, 80 and overAge FactorsAntineoplastic Agents, HormonalBreast NeoplasmsComputer SimulationFemaleGene Expression ProfilingHumansModels, StatisticalNeoplasm Recurrence, LocalPrevalenceQuality of LifeSEER ProgramStochastic ProcessesUnited StatesAntineoplastic Agents, Hormonal

Identifiers

PMID31612208
PMCPMC7301154

What OpenQuestion holds

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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.