Evidence map›Paper›PMID 33609208›Full record

ArticleBreast cancer research and treatment2021

Refining breast cancer prognosis by incorporating age at diagnosis into clinical prognostic staging: introduction of a novel online calculator.

Helen M Johnson, William Irish, Nasreen A Vohra, Jan H Wong

Abstract read
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Article in Breast cancer research and treatment, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.5field-weighted citation impact, top 20% 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

9 citing papers in PubMed, 17 citations in OpenAlex.

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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

4 authors at 1 institution in 1 country.

Helen M JohnsonDepartment of Surgery, East Carolina University Brody School of Medicine, 600 Moye Blvd, Greenville, NC, 27834, USA.ORCID http://orcid.org/0000-0001-7841-5298
William IrishDepartment of Surgery, East Carolina University Brody School of Medicine, 600 Moye Blvd, Greenville, NC, 27834, USA.
Nasreen A VohraDepartment of Surgery, East Carolina University Brody School of Medicine, 600 Moye Blvd, Greenville, NC, 27834, USA.
Jan H WongDepartment of Surgery, East Carolina University Brody School of Medicine, 600 Moye Blvd, Greenville, NC, 27834, USA. wongj@ecu.edu.
East Carolina University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeAmerican Joint Committee on Cancer (AJCC) clinical staging is used to estimate breast cancer prognosis, but individual patient survival within each stage varies considerably by age at diagnosis. We hypothesized that the addition of age at diagnosis to the staging schema will enable more refined risk stratification.

methodsWe performed a retrospective population analysis of adult women diagnosed with invasive breast cancer between 2010 and 2015 registered in SEER. Multivariable Cox hazards models were used to evaluate the association of AJCC 8th edition clinical prognostic stage (CPS) and age with risk of overall mortality. Separate hierarchical models were fit to the data: Model 1: CPS alone; Model 2: CPS + age + age

resultsAmong 86,637 women, the median follow-up was 36 months and 3-year overall survival was 91.9% ± 0.1%. Age significantly modified the effect of CPS on survival (p < 0.0001). Model 3 was the most precise, with the lowest AIC (126,619.63), the highest c-statistic (0.8212, standard error 0.0187), and superior NRI indices.

conclusionAge at diagnosis is a highly prognostic variable that warrants consideration for inclusion in future editions of the AJCC Breast Cancer Staging Manual.

Indexed as

Breast NeoplasmsAdultBreastChild, PreschoolFemaleHumansNeoplasm StagingPrognosisRetrospective StudiesAgeBreast cancerPrognosisStageSurvival

Identifiers

PMID33609208
OpenAlexW3129466560

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.