Evidence map›Paper›PMID 28085947›Full record

ArticlePloS one2017

Distinctions in Breast Tumor Recurrence Patterns Post-Therapy among Racially Distinct Populations.

Nikita Wright, Jun Xia, Guilherme Cantuaria, Sergey Klimov, Mildred Jones, Pranay Neema, Dora Il'yasova, Uma Krishnamurti, Xiaoxian Li, Michelle D Reid and 4 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.5field-weighted citation impact, top 39% 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

6 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
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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

14 authors at 3 institutions in 1 country.

Nikita WrightDepartment of Biology, Georgia State University, Atlanta, Georgia, United States of America.
Jun XiaDepartment of Mathematics and Statistics, Georgia State University, Atlanta, Georgia, United States of America.
Guilherme CantuariaDepartment of Gynecologic Oncology, Northside Hospital Cancer Institute, Atlanta, Georgia, United States of America.
Sergey KlimovDepartment of Biology, Georgia State University, Atlanta, Georgia, United States of America.
Mildred JonesDepartment of Pathology Oncology Analytics, Northside Hospital Cancer Institute, Atlanta, GA, United States of America.
Pranay NeemaDepartment of Biology, Georgia State University, Atlanta, Georgia, United States of America.
Dora Il'yasovaSchool of Public Health, Georgia State University, Atlanta, Georgia, United States of America.
Uma KrishnamurtiDepartment of Pathology and Laboratory Medicine, Emory University, Atlanta, Georgia, United States of America.
Xiaoxian LiDepartment of Pathology and Laboratory Medicine, Emory University, Atlanta, Georgia, United States of America.
Michelle D ReidDepartment of Pathology and Laboratory Medicine, Emory University, Atlanta, Georgia, United States of America.
Meenakshi GuptaClinical Pathology and Anatomic Pathology, West Georgia Hospitals, LaGrange, Georgia, United States of America.
Padmashree C G RidaDepartment of Biology, Georgia State University, Atlanta, Georgia, United States of America.
Remus OsanDepartment of Mathematics and Statistics, Georgia State University, Atlanta, Georgia, United States of America.
Ritu AnejaDepartment of Biology, Georgia State University, Atlanta, Georgia, United States of America.
Georgia State University · USEmory University · USNorthside Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundClinical studies have revealed a higher risk of breast tumor recurrence in African-American (AA) patients compared to European-American (EA) patients, contributing to the alarming inequality in clinical outcomes among the ethnic groups. However, distinctions in recurrence patterns upon receiving hormone, radiation, and/or chemotherapy between the races remain poorly characterized.

methodsWe compared patterns and rates (per 1000 cancer patients per 1 year) of recurrence following each form of treatment between AA (n = 1850) and EA breast cancer patients (n = 7931) from a cohort of patients (n = 10504) treated between 2005-2015 at Northside Hospital in Atlanta, GA.

resultsAmong patients who received any combination of adjuvant therapy, AA displayed higher overall rates of recurrence than EA (p = 0.015; HR: 1.699; CI: 1.108-2.606). Furthermore, recurrence rates were higher in AA than EA among stage I (p = 0.031; HR: 1.736; CI: 1.052-2.864) and T1 classified patients (p = 0.003; HR: 2.009; CI: 1.263-3.197). Interestingly, among patients who received neoadjuvant chemotherapy, AA displayed higher rates of local recurrence than EA (p = 0.024; HR: 7.134; CI: 1.295-39.313).

conclusionOur analysis revealed higher incidence rates of recurrence in AA compared to EA among patients that received any combination of adjuvant therapy. Moreover, our data demonstrates an increased risk of tumor recurrence in AA than EA among patients diagnosed with minimally invasive disease. This is the first clinical study to suggest that neoadjuvant chemotherapy improves breast cancer recurrence rates and patterns in AA.

Indexed as

AdultBlack or African AmericanBreast NeoplasmsCombined Modality TherapyFemaleFollow-Up StudiesHumansLymphatic MetastasisMiddle AgedNeoplasm GradingNeoplasm InvasivenessNeoplasm Recurrence, LocalNeoplasm StagingPrognosisRetrospective StudiesSurvival Rate

Identifiers

PMID28085947
PMCPMC5234824
OpenAlexW2572585609

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.