Evidence map›Paper›PMID 26605089›Full record

ArticleInternational journal of breast cancer2015

Race/Ethnicity, Primary Language, and Income Are Not Demographic Drivers of Mortality in Breast Cancer Patients at a Diverse Safety Net Academic Medical Center.

Divya A Parikh, Rani Chudasama, Ankit Agarwal, Alexandar Rand, Muhammad M Qureshi, Taylor Ngo, Ariel E Hirsch

Abstract read
In one paragraph

Article in International journal of breast cancer, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–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

10 citing papers in PubMed.

  1. Trial
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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

7 authors.

Divya A ParikhDepartment of Radiation Oncology, Boston University School of Medicine, Boston, MA 02118, USA.
Rani ChudasamaDepartment of Radiation Oncology, Boston University School of Medicine, Boston, MA 02118, USA.
Ankit AgarwalDepartment of Radiation Oncology, Boston University School of Medicine, Boston, MA 02118, USA.
Alexandar RandDepartment of Radiation Oncology, Boston University School of Medicine, Boston, MA 02118, USA.
Muhammad M QureshiDepartment of Radiation Oncology, Boston University School of Medicine, Boston, MA 02118, USA.
Taylor NgoDepartment of Radiation Oncology, Boston University School of Medicine, Boston, MA 02118, USA.
Ariel E HirschDepartment of Radiation Oncology, Boston University School of Medicine, Boston, MA 02118, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective. To examine the impact of patient demographics on mortality in breast cancer patients receiving care at a safety net academic medical center. Patients and Methods. 1128 patients were diagnosed with breast cancer at our institution between August 2004 and October 2011. Patient demographics were determined as follows: race/ethnicity, primary language, insurance type, age at diagnosis, marital status, income (determined by zip code), and AJCC tumor stage. Multivariate logistic regression analysis was performed to identify factors related to mortality at the end of follow-up in March 2012. Results. There was no significant difference in mortality by race/ethnicity, primary language, insurance type, or income in the multivariate adjusted model. An increased mortality was observed in patients who were single (OR = 2.36, CI = 1.28-4.37, p = 0.006), age > 70 years (OR = 3.88, CI = 1.13-11.48, p = 0.014), and AJCC stage IV (OR = 171.81, CI = 59.99-492.06, p < 0.0001). Conclusions. In this retrospective study, breast cancer patients who were single, presented at a later stage, or were older had increased incidence of mortality. Unlike other large-scale studies, non-White race, non-English primary language, low income, or Medicaid insurance did not result in worse outcomes.

Identifiers

PMID26605089
PMCPMC4641184

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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.