Evidence map›Paper›PMID 22084362›Full record

ArticleJournal of clinical oncology : official journal of the American Society of Clinical Oncology2011

Novel staging system for predicting disease-specific survival in patients with breast cancer treated with surgery as the first intervention: time to modify the current American Joint Committee on Cancer staging system.

Min Yi, Elizabeth A Mittendorf, Janice N Cormier, Thomas A Buchholz, Karl Bilimoria, Aysegul A Sahin, Gabriel N Hortobagyi, Ana Maria Gonzalez-Angulo, Sheng Luo, Aman U Buzdar and 3 more

Abstract read
In one paragraph

Article in Journal of clinical oncology : official journal of the American Society of Clinical Oncology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 2 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

44 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  15. A simplified breast cancer prognostic score: comparison with the AJCC clinical prognostic staging system.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2021
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  18. Prognostic and predictive parameters in breast pathology: a pathologist's primer.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2021
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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

13 authors.

Min YiThe University of Texas MD Anderson Cancer Center, Houston, 77030, USA.
Elizabeth A Mittendorf
Janice N Cormier
Thomas A Buchholz
Karl Bilimoria
Aysegul A Sahin
Gabriel N Hortobagyi
Ana Maria Gonzalez-Angulo
Sheng Luo
Aman U Buzdar
Jaime R Crow
Henry M Kuerer
Kelly K Hunt

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
NCI NIH HHS CA016672NCI NIH HHS P30 CA016672
6 · The paper itself

Abstract

purposeAmerican Joint Committee on Cancer (AJCC) staging is used to determine breast cancer prognosis, yet patient survival within each stage shows wide variation. We hypothesized that differences in biology influence this variation and that addition of biologic markers to AJCC staging improves determination of prognosis. PATIENTS AND

methodsWe identified a cohort of 3,728 patients who underwent surgery as the first intervention between 1997 and 2006. A Cox proportional hazards model, with backward stepwise exclusion of factors and stratification on pathologic stage (PS), was used to test the significance of adding grade (G), lymphovascular invasion (L), estrogen receptor (ER) status (E), progesterone receptor (PR) status, combined ER and PR status (EP), or combined ER, PR, and human epidermal growth factor receptor 2 status (M). We assigned values of 0 to 2 to these disease-specific survival (DSS) -associated factors and assessed six different staging systems: PS, PS + G, PS + G L, PS + G E, PS + G EP, and PS + G M. We compared 5-year DSS rates, Akaike's information criterion (AIC), and Harrell's concordance index (C-index) between systems. Surveillance, Epidemiology, and End Results data were used as the external validation cohort (n = 26,711).

resultsMedian follow-up was 6.5 years, and 5-year DSS rate was 97.4%. The PS + G E status staging system was most precise, with a low AIC (1,931.9) and the highest C-index (0.80). PS + G E status was confirmed to stratify outcomes in internal bootstrapping samples and the external validation cohort.

conclusionOur results validate an improved breast cancer staging system that incorporates grade and ER status. We recommend that biologic markers be incorporated into revised versions of the AJCC staging system.

Indexed as

AdultAgedAged, 80 and overBreast NeoplasmsCohort StudiesDisease-Free SurvivalFemaleHumansMiddle AgedNeoplasm StagingPrognosisSurvival AnalysisUnited StatesYoung Adult

Identifiers

PMID22084362
PMCPMC3236648

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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.