Evidence map›Paper›PMID 22734034›Full record

ArticleJournal of clinical oncology : official journal of the American Society of Clinical Oncology2012

Nomogram to predict the benefit of radiation for older patients with breast cancer treated with conservative surgery.

Jeffrey M Albert, Diane D Liu, Yu Shen, I-Wen Pan, Ya-Chen Tina Shih, Karen E Hoffman, Thomas A Buchholz, Sharon H Giordano, Benjamin D Smith

Abstract read
In one paragraph

Article in Journal of clinical oncology : official journal of the American Society of Clinical Oncology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed, 1 pooled it
–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

55 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  5. Prognostic model of ER-positive, HER2-negative breast cancer predicted by clinically relevant indicators.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2024
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  16. Semiparametric copula-based regression modeling of semi-competing risks data.Communications in statistics: theory and methods · 2022
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Jeffrey M AlbertThe University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Diane D Liu
Yu Shen
I-Wen Pan
Ya-Chen Tina Shih
Karen E Hoffman
Thomas A Buchholz
Sharon H Giordano
Benjamin D Smith

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Kathrin Milbury · 1985 to 2026
$290.8M
STATISTICAL METHODS FOR BREAST CANCER SCREENING STUDIESR01CA079466 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI SHEN, YU · 1999 to 2014
$1.5M
Monoclonal Antibodies in Cancer Care: Is Underinsurance An Access Barrier?R01HS018535 · AHRQ · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI SHIH, YA-CHEN TINA · 2009 to 2012
$1.4M
RADIATION ONCOLOGY TRAINING PROGRAMT32CA077050 · NCI · UNIVERSITY OF TEXAS MD ANDERSON CAN CTR · PI TRAVIS, ELIZABETH L · 1998 to 2002
$330k
AHRQ HHS R01 HS018535NCI NIH HHS CA16672NCI NIH HHS P30 CA016672NCI NIH HHS R01 CA079466NCI NIH HHS T32 CA077050NCI NIH HHS T32CA77050
6 · The paper itself

Abstract

purposeThe role of radiation therapy (RT) after conservative surgery (CS) remains controversial for older patients with breast cancer. Guidelines based on recent clinical trials have suggested that RT may be omitted in selected patients with favorable disease. However, it is not known whether this recommendation should extend to other older women. Accordingly, we developed a nomogram to predict the likelihood of long-term breast preservation with and without RT.

methodsWe used Surveillance, Epidemiology, and End Results-Medicare data to identify 16,092 women age 66 to 79 years treated with CS between 1992 and 2002, using claims to identify receipt of RT and subsequent mastectomy. Time to mastectomy was estimated using the Kaplan-Meier method. Cox proportional hazards models determined the effect of covariates on mastectomy-free survival (MFS). A nomogram was developed to predict 5- and 10-year MFS, given associated risk factors, and bootstrap validation was performed.

resultsWith a median follow-up of 7.2 years, the overall 5- and 10-year MFS rates were 98.1% (95% CI, 97.8% to 98.3%) and 95.4% (95% CI, 94.9% to 95.8%), respectively. In multivariate analysis, age, race, tumor size, estrogen receptor status, and receipt of RT were predictive of time to mastectomy and were incorporated into the nomogram. Nodal status was also included given a significant interaction with RT. The resulting nomogram demonstrated good accuracy in predicting MFS, with a bootstrap-corrected concordance index of 0.66.

conclusionThis clinically useful tool predicts 5- and 10-year MFS among older women with early breast cancer using readily available clinicopathologic factors and can aid individualized clinical decision making by estimating predicted benefit from RT.

Indexed as

NomogramsAgedBreast NeoplasmsFemaleHumansMastectomy, SegmentalSEER Program

Identifiers

PMID22734034
PMCPMC3410401

What OpenQuestion holds

Textmetadata
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.