Evidence map›Paper›PMID 16212670›Full record

ArticleBMC cancer2005

Modeling the effect of age in T1-2 breast cancer using the SEER database.

Patricia Tai, Gábor Cserni, Jan Van De Steene, Georges Vlastos, Mia Voordeckers, Melanie Royce, Sang-Joon Lee, Vincent Vinh-Hung, Guy Storme

Abstract read
In one paragraph

Article in BMC cancer, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

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

  1. Pooled it
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  15. Accelerated partial-breast irradiation (APBI)--ready for prime time?Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2009
    Article
  16. Article
  17. The effect of adjuvant radiotherapy on mortality differs according to primary tumor location in women with node-positive breast cancer.Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2009
    Article
  18. Does iron have a role in breast cancer?The Lancet. Oncology · 2008
    Review
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

9 authors.

Patricia TaiDepartment of Radiation Oncology, University of Saskatchewan, Faculty of Medicine, Regina, Canada. patricia.tai@scf.sk.ca
Gábor Cserni
Jan Van De Steene
Georges Vlastos
Mia Voordeckers
Melanie Royce
Sang-Joon Lee
Vincent Vinh-Hung
Guy Storme

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundModeling the relationship between age and mortality for breast cancer patients may have important prognostic and therapeutic implications.

methodsData from 9 registries of the Surveillance, Epidemiology, and End Results Program (SEER) of the United States were used. This study employed proportional hazards to model mortality in women with T1-2 breast cancers. The residuals of the model were used to examine the effect of age on mortality. This procedure was applied to node-negative (N0) and node-positive (N+) patients. All causes mortality and breast cancer specific mortality were evaluated.

resultsThe relationship between age and mortality is biphasic. For both N0 and N+ patients among the T1-2 group, the analysis suggested two age components. One component is linear and corresponds to a natural increase of mortality with each year of age. The other component is quasi-quadratic and is centered around age 50. This component contributes to an increased risk of mortality as age increases beyond 50. It suggests a hormonally related process: the farther from menopause in either direction, the more prognosis is adversely influenced by the quasi-quadratic component. There is a complex relationship between hormone receptor status and other prognostic factors, like age.

conclusionThe present analysis confirms the findings of many epidemiological and clinical trials that the relationship between age and mortality is biphasic. Compared with older patients, young women experience an abnormally high risk of death. Among elderly patients, the risk of death from breast cancer does not decrease with increasing age. These facts are important in the discussion of options for adjuvant treatment with breast cancer patients.

Indexed as

Age FactorsSEER ProgramAdultAgedAged, 80 and overBreast NeoplasmsDisease-Free SurvivalFemaleHumansMiddle AgedModels, StatisticalModels, TheoreticalPrognosisProportional Hazards ModelsReceptors, ProgesteroneReceptors, Progesterone

Identifiers

PMID16212670
PMCPMC1277821

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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.