Evidence map›Paper›PMID 29455447›Full record

ArticleJournal of cancer survivorship : research and practice2018

The continuum of breast cancer care and outcomes in the U.S. Military Health System: an analysis by benefit type and care source.

Yvonne L Eaglehouse, Stephanie Shao, Wenyaw Chan, Derek Brown, Janna Manjelievskaia, Craig D Shriver, Kangmin Zhu

Abstract read
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In one paragraph

Article in Journal of cancer survivorship : research and practice, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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.

Yvonne L EaglehouseJohn P. Murtha Cancer Center, Uniformed Services University of the Health Sciences and Walter Reed National Military Medical Center, 11300 Rockville Pike, Suite 1120, Rockville, MD, 20852, USA.
Stephanie ShaoJohn P. Murtha Cancer Center, Uniformed Services University of the Health Sciences and Walter Reed National Military Medical Center, 11300 Rockville Pike, Suite 1120, Rockville, MD, 20852, USA.
Wenyaw ChanUniversity of Texas Health Science Center at Houston, Houston, TX, USA.
Derek BrownJohn P. Murtha Cancer Center, Uniformed Services University of the Health Sciences and Walter Reed National Military Medical Center, 11300 Rockville Pike, Suite 1120, Rockville, MD, 20852, USA.
Janna ManjelievskaiaJohn P. Murtha Cancer Center, Uniformed Services University of the Health Sciences and Walter Reed National Military Medical Center, 11300 Rockville Pike, Suite 1120, Rockville, MD, 20852, USA.
Craig D ShriverJohn P. Murtha Cancer Center, Uniformed Services University of the Health Sciences and Walter Reed National Military Medical Center, 11300 Rockville Pike, Suite 1120, Rockville, MD, 20852, USA.
Kangmin ZhuJohn P. Murtha Cancer Center, Uniformed Services University of the Health Sciences and Walter Reed National Military Medical Center, 11300 Rockville Pike, Suite 1120, Rockville, MD, 20852, USA. kzhu@murthacancercenter.org.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study investigates transition rates between breast cancer diagnosis, recurrence, and death by insurance benefit type and care source in U.S. Military Health System (MHS).

methodsThe MHS data repository and central cancer registry linked data were used to identify women aged 40-64 with histologically confirmed breast cancer between 2003 and 2007. Three-state continuous time Markov models were used to estimate transition rates and transition rate ratios (TRRs) by TRICARE benefit type (Prime or non-Prime) and care source (direct, purchased, or both), adjusted for demographic, tumor, and treatment variables.

resultsAnalyses included 2668 women with transitions from diagnosis to recurrence (n = 832), recurrence to death (n = 79), and diagnosis to death without recurrence (n = 91). Compared to women with Prime within each care source, women with non-Prime using both care sources had higher transition rates (TRR 1.47, 95% CI 1.03, 2.10). Compared to those using direct care within each benefit type, women utilizing both care sources with non-Prime had higher transition rates (TRR 1.86, 95% CI 1.11, 3.13), while women with Prime utilizing purchased care had lower transition rates (TRR 0.82, 95% CI 0.68, 0.98).

conclusionsIn the MHS, women with non-Prime benefit plans compared to Prime had higher transition rates along the breast cancer continuum among both care source users. Purchased care users had lower transition rates than direct care users among Prime beneficiaries. IMPLICATIONS FOR CANCER SURVIVORS: Benefit plan and care source may be associated with breast cancer progression. Further research is needed to demonstrate differences in survivorship.

Indexed as

AftercareCancer SurvivorsContinuity of Patient CareMilitary PersonnelAdultBreast NeoplasmsFemaleFollow-Up StudiesHealth Systems AgenciesHumansInsurance BenefitsMiddle AgedNeoplasm Recurrence, LocalTreatment OutcomeUnited StatesBreast cancerHealth servicesInsuranceRecurrenceSurvival

Identifiers

PMID29455447

What OpenQuestion holds

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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.