Evidence map›Paper›PMID 31899199›Full record

ArticleJournal of geriatric oncology2020

"Radiotherapy for older women (ROW)": A risk calculator for women with early-stage breast cancer.

Shi-Yi Wang, Fuad Abujarad, Tiange Chen, Suzanne B Evans, Brigid K Killelea, Sarah S Mougalian, Liana Fraenkel, Cary P Gross

Open access · greenAbstract read
In one paragraph

Article in Journal of geriatric oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 40% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. 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

8 authors at 2 institutions in 1 country.

Shi-Yi WangDepartment of Chronic Disease Epidemiology, Yale University School of Public Health, New Haven, CT, United States of America; Cancer Outcomes, Public Policy, and Effectiveness Research (COPPER) Center, Yale Cancer Center, Yale University School of Medicine, New Haven, CT, United States of America. Electronic address: shiyi.wang@yale.edu.
Fuad AbujaradDepartment of Emergency Medicine, Yale University School of Medicine, New Haven, CT, United States of America.
Tiange ChenDepartment of Chronic Disease Epidemiology, Yale University School of Public Health, New Haven, CT, United States of America.
Suzanne B EvansCancer Outcomes, Public Policy, and Effectiveness Research (COPPER) Center, Yale Cancer Center, Yale University School of Medicine, New Haven, CT, United States of America; Department of Therapeutic Radiology, Yale University School of Medicine, New Haven, CT, United States of America.
Brigid K KilleleaCancer Outcomes, Public Policy, and Effectiveness Research (COPPER) Center, Yale Cancer Center, Yale University School of Medicine, New Haven, CT, United States of America; Department of Surgery, Yale University School of Medicine, New Haven, CT, United States of America.
Sarah S MougalianCancer Outcomes, Public Policy, and Effectiveness Research (COPPER) Center, Yale Cancer Center, Yale University School of Medicine, New Haven, CT, United States of America; Section of Medical Oncology, Department of Internal Medicine, Yale University School of Medicine, New Haven, CT, United States of America.
Liana FraenkelSection of Rheumatology, Department of Internal Medicine, Yale University School of Medicine, New Haven, CT, United States of America.
Cary P GrossCancer Outcomes, Public Policy, and Effectiveness Research (COPPER) Center, Yale Cancer Center, Yale University School of Medicine, New Haven, CT, United States of America; Section of General Internal Medicine, Department of Internal Medicine, Yale University School of Medicine, New Haven, CT, United States of America.
Yale University · USYale Cancer Center · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Improving Decision Making in Patients with Rheumatic DiseaseK24AR060231 · NIAMS · YALE UNIVERSITY · PI FRAENKEL, LIANA · 2011 to 2018
$1.2M
Development and Evaluation of a Decision Analysis Based Decision AidK01HS023900 · AHRQ · YALE UNIVERSITY · PI WANG, SHIYI · 2015 to 2019
$754k
AHRQ HHS K01 HS023900NCATS NIH HHS UL1 TR001863NIAMS NIH HHS K24 AR060231
6 · The paper itself

Abstract

objectiveAmong older adult women with early-stage breast cancer who undergo lumpectomy, the benefits of radiotherapy vary according to tumor characteristics and life expectancy. We aimed to develop a risk calculator to predict individualized probability of long-term survival and local recurrence, accounting for these factors.

methodsWe developed a simulation model to estimate an individual patient's risk of local recurrence and all-cause mortality according to age, comorbidities, functional status, tumor characteristics, and radiotherapy status. We integrated two existing prediction models, the Early Breast Cancer Trialist's Collaborative Group prediction model for breast cancer specific outcomes and ePrognosis for life expectancy. An online risk calculator "Radiotherapy for Older Women (ROW)" was developed through an iterative multi-stage process, that included individual consultation and group meetings with an advisory committee (AC) comprised of patients, advocates, clinicians, and researchers.

resultsWe developed the tool over 40 months and had 15 group meetings. The risk calculator developed as a simulation model with 16 factors (5 tumor-related, 3 demographic, 4 comorbidities, and 4 functional statuses). Across 56,700 simulated scenarios, the benefit of RT in terms of absolute 10-year local recurrence reduction, ranged from 0% to 34%, depending on individual characteristics. Based on feedback from the AC, overall survival and local recurrence were chosen as the output for ROW, with these outcomes displayed numerically (percentages and natural frequencies) and graphically (pictographs).

conclusionsThis tool "ROW" could facilitate shared decision making regarding receipt of radiotherapy for older women with early breast cancer. Additional studies to examine usability testing are underway.

Indexed as

Breast NeoplasmsModels, StatisticalRisk AssessmentAgedAge FactorsFemaleHumansLife ExpectancyMastectomy, SegmentalMiddle AgedNeoplasm Recurrence, LocalNeoplasm Staging

Identifiers

PMID31899199
PMCPMC7263974
OpenAlexW2997643461

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.