Evidence map›Paper›PMID 32627180›Full record

ArticleCancer2020

The effect of Medicaid expansion among adults from low-income communities on stage at diagnosis in those with screening-amenable cancers.

Uriel Kim, Siran Koroukian, Abby Statler, Johnie Rose

Open access · greenAbstract read
In one paragraph

Article in Cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
9.8field-weighted citation impact, top 2% 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

21 citing papers in PubMed, 42 citations in OpenAlex.

  1. Article
  2. Article
  3. Observational
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. 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

4 authors at 2 institutions in 1 country.

Uriel KimCenter for Community Health Integration, Case Western Reserve University School of Medicine, Cleveland, Ohio.ORCID 0000-0001-9910-0682
Siran KoroukianCase Comprehensive Cancer Center, Cleveland, Ohio.ORCID 0000-0002-8106-9581
Abby StatlerCase Comprehensive Cancer Center, Cleveland, Ohio.ORCID 0000-0002-2914-1646
Johnie RoseCenter for Community Health Integration, Case Western Reserve University School of Medicine, Cleveland, Ohio.ORCID 0000-0001-7458-9303
University Hospitals Cleveland Medical Center · USCleveland Clinic · US

Funding

TUMOR METABOLISM PROGRAMP30CA043703 · NCI · CASE WESTERN RESERVE UNIVERSITY · PI Amar Desai · 1987 to 2026
$142.3M
Clinical and Translational Science Collaborative of ClevelandUL1TR000439 · NCATS · CASE WESTERN RESERVE UNIVERSITY · PI KONSTAN, MICHAEL W. · 2012 to 2016
$50.0M
MEDICAL SCIENTIST TRAINING PROGRAMT32GM007250 · NIGMS · CASE WESTERN RESERVE UNIVERSITY · PI HUANG, ALEX YEE-CHEN · 1985 to 2023
$33.4M
NRSA Training CoreTL1TR002549 · NCATS · CASE WESTERN RESERVE UNIVERSITY · PI HARDING, CLIFFORD V · 2018 to 2022
$2.9M
ACL HHS U48DP005013CDC HHS 1U48DP005013NCATS NIH HHS 1TL1TR002549NCATS NIH HHS TL1 TR002549NCATS NIH HHS UL1 TR000439NCATS NIH HHS UL1TR000439NCCDPHP CDC HHS U48 DP005013NCI NIH HHS P30 CA043703NIGMS NIH HHS GM007250NIGMS NIH HHS T32 GM007250Pharmaceutical Research and Manufacturers of America Foundation PDHO18
6 · The paper itself

Abstract

backgroundSeveral states have opted to expand Medicaid under the Patient Protection and Affordable Care Act (ACA), which offers insurance coverage to low-income individuals up to 138% of the federal poverty level. This expansion of Medicaid to a medically vulnerable population potentially can reduce cancer outcome disparities, especially among patients with screening-amenable cancers. The objective of the current study was to estimate the effect of Medicaid expansion on the percentage of adults from low-income communities with screening-amenable cancers who present with metastatic disease.

methodsUsing state cancer registry data linked with block group-level income data, a total of 12,760 individuals aged 30 to 64 years who were diagnosed with incident invasive breast (female), cervical, colorectal, or lung cancer from 2011 through 2016 and who were uninsured or had Medicaid insurance at the time of diagnosis were identified. This sample was probability weighted based on income to reflect potential Medicaid eligibility under the ACA's Medicaid expansion. A multivariable logistic model then was fitted to examine the independent association between the exposure (pre-expansion [years 2011-2013] vs postexpansion [years 2014-2016]) and the outcome (metastatic vs nonmetastatic disease at the time of diagnosis).

resultsAfter adjusting for potential confounders, individuals who were diagnosed postexpansion were found to have 15% lower odds of having metastatic disease compared with those who were diagnosed pre-expansion (adjusted odds ratio, 0.85; 95% confidence interval, 0.77-0.93). As a control, a separate analysis that focused on individuals with private insurance who resided in high-income communities found nonsignificant postexpansion (vs pre-expansion) changes in the outcome (adjusted odds ratio, 1.02; 95% confidence interval, 0.96-1.09).

conclusionsMedicaid expansion is associated with a narrowing of a critical cancer outcome disparity in adults from low-income communities.

Indexed as

MedicaidAdultEarly Detection of CancerFemaleHumansMaleMiddle AgedNeoplasmsNeoplasm StagingPovertyUnited Statesbreast neoplasmscancer stagingcolorectal neoplasmslung neoplasmsMedicaidPatient Protection and Affordable Care Actuterine cervical neoplasms

Identifiers

PMID32627180
PMCPMC8571714
OpenAlexW3039356709

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.