Evidence map›Paper›PMID 35583139›Full record

ArticleJNCI cancer spectrum2022

Timing of Medicaid Enrollment, Late-Stage Breast Cancer Diagnosis, Treatment Delays, and Mortality.

Evaline Xie, Graham A Colditz, Min Lian, Tracy Greever-Rice, Chester Schmaltz, Jill Lucht, Ying Liu

Abstract read
In one paragraph

Article in JNCI cancer spectrum, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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.

Evaline XieDivision of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St. Louis, MO, USA.
Graham A ColditzDivision of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St. Louis, MO, USA.ORCID 0000-0002-7307-0291
Min LianAlvin J. Siteman Cancer Center at Barnes-Jewish Hospital, Washington University School of Medicine, St. Louis, MO, USA.
Tracy Greever-RiceCenter for Health Policy, University of Missouri, Columbia, MO, USA.
Chester SchmaltzDepartment of Health Management and Informatics, University of Missouri School of Medicine, Columbia, MO, USA.
Jill LuchtCenter for Health Policy, University of Missouri, Columbia, MO, USA.ORCID 0000-0003-1500-2191
Ying LiuDivision of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St. Louis, MO, USA.ORCID 0000-0001-9636-990X

Funding

Washington University Center for Cellular ImagingP30CA091842 · NCI · WASHINGTON UNIVERSITY · PI AIMEE S JAMES · 2001 to 2026
$128.0M
RESIDENTIAL MOBILITY, TREATMENT QUALITY AND SURVIVAL IN LOW-INCOME WOMEN WITH BREAST CANCERR01CA215418 · NCI · WASHINGTON UNIVERSITY · PI LIAN, MIN, LIU, YING · 2018 to 2020
$1.1M
NCI NIH HHS P30 CA091842NCI NIH HHS R01 CA215418
6 · The paper itself

Abstract

backgroundDisrupted and delayed Medicaid coverage has been consistently associated with lower rates of cancer screening and early-stage cancer diagnosis compared with continuous coverage. However, the relationships between Medicaid coverage timing, breast cancer treatment delays, and survival are less clear.

methodsUsing the linked Missouri Cancer Registry-Medicaid claims data, we identified 4583 women diagnosed with breast cancer between 2007 and 2016. We used logistic regression to estimate odds ratios (ORs) of late-stage diagnosis and treatment delays for prediagnosis (>30 days, >90 days, and >1 year before diagnosis) vs peridiagnosis enrollment. Cox proportional hazards models were used to estimate the hazard ratio (HR) of breast cancer-specific mortality for pre- vs postdiagnosis enrollment.

resultsPatients enrolled in Medicaid more than 30 days before diagnosis were less likely to be diagnosed at a late stage compared with those enrolled in Medicaid peridiagnosis (OR = 0.69, 95% confidence interval [CI] = 0.60 to 0.79). This result persisted using enrollment 90-day (OR = 0.64, 95% CI = 0.56 to 0.74) and 1-year thresholds (OR = 0.55, 95% CI = 0.47 to 0.65). We did not observe a difference in the likelihood of treatment delays between the 2 groups. After adjustment for sociodemographic factors, there was no statistically significant difference in the risk of breast cancer mortality for patients enrolled more than 30 days prediagnosis relative to patients enrolled peridiagnosis (HR = 0.98, 95% CI = 0.83 to 1.14), but a lower risk was observed for patients enrolled prediagnosis when using 90 days (HR = 0.85, 95% CI = 0.72 to 0.999) or 1 year (HR = 0.79, 95% CI = 0.66 to 0.96) as the threshold.

conclusionsWomen with breast cancer who enroll in Medicaid earlier may benefit from earlier diagnoses, but only longer-term enrollment may have survival benefits.

Indexed as

Breast NeoplasmsMedicaidEarly Detection of CancerFemaleHumansNeoplasm StagingTime-to-TreatmentUnited States

Identifiers

PMID35583139
PMCPMC9113434

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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.