Evidence map›Paper›PMID 24800152›Full record

ArticleMedicare & medicaid research review2012

Linking Medicare, Medicaid, and cancer registry data to study the burden of cancers in West Virginia.

Pramit A Nadpara, Suresh S Madhavan

Open access · bronzeAbstract read
In one paragraph

Article in Medicare & medicaid research review, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
0.8field-weighted citation impact, top 23% 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

16 citing papers in PubMed, 19 citations in OpenAlex.

  1. Geographic variability in contemporary utilization of PET imaging for prostate cancer: a medicare claims cohort study.Cancer imaging : the official publication of the International Cancer Imaging Society · 2025
    Article
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  5. Comparison of primary payer in cancer registry and discharge data.The American journal of managed care · 2023
    Article
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  8. Review
  9. An Overview of the National Cancer Institute's Initiatives to Accelerate Rural Cancer Control Research.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2018
    Article
  10. Article
  11. Observational
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  15. Article
  16. Tobacco-use Cessation Counseling Service Usage.The West Virginia medical journal
    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

2 authors at 1 institution in 1 country.

Pramit A NadparaWest Virginia University-Pharmaceutical Systems & Policy.
Suresh S MadhavanWest Virginia University-Pharmaceutical Systems & Policy.
West Virginia University · US

Funding

West Virginia CoHORTS CenterR24HS018622 · AHRQ · WEST VIRGINIA UNIVERSITY · PI MADHAVAN, S. SURESH · 2009 to 2011
$1.5M
AHRQ HHS 1R24HS018622-01AHRQ HHS R24 HS018622
6 · The paper itself

Abstract

objectiveDevelop the WVCR-Linked dataset by combining the West Virginia Cancer Registry (WVCR) with Medicare, Medicaid, and other data sources. Determine health care utilization, costs, and overall burden of four major cancers among the elderly in a rural and medically underserved state population, and to compare them with national estimates.

methodWe extracted personal identifiers from the West Virginia Cancer Registry (WVCR) data file for individuals ≥ 65 years of age with an incident diagnosis of any cancer between January 1, 2002 and December 31, 2007. We linked the extracted data with Medicare and Medicaid administrative data using deterministic record linkage procedures. We updated missing vital status information by linking the National Death Index (NDI) data file. The updated WVCR-Linked dataset was enriched by links to the U.S. decennial census (2000) file and the Area Resource File.

resultsWe identified 42,333 individuals, of which 41,574 (98.2%) and 6,031 (14.3%) individuals were matched with Medicare and Medicaid administrative data files, respectively. The NDI data added or updated vital status information for 3,295 (7.8%) individuals in the WVCR-Linked dataset.

conclusionThe WVCR-Linked dataset is a comprehensive dataset offering many opportunities to understand factors related to cancer treatment patterns, costs, and outcomes in a rural and medically underserved elderly Appalachian population. Following our example, non-participant states in the Surveillance, Epidemiology and End Results (SEER) program can build a powerful dataset to identify and target cancer disparities, and to improve cancer-related outcomes for their elderly and dual-eligible citizens.

Indexed as

AgedAged, 80 and overAppalachian RegionCost of IllnessData CollectionFemaleHealth Status DisparitiesHumansIncidenceMaleMedicaidMedicareNeoplasmsRegistriesUnited StatesWest VirginiaAppalachianCancerData LinkageMedicaidMedicare

Identifiers

PMID24800152
PMCPMC4006474
OpenAlexW2061868586

What OpenQuestion holds

Textmetadata
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.