Evidence map›Paper›PMID 32412076›Full record

ReviewJournal of the National Cancer Institute. Monographs2020

Updated Overview of the SEER-Medicare Data: Enhanced Content and Applications.

Lindsey Enewold, Helen Parsons, Lirong Zhao, David Bott, Donna R Rivera, Michael J Barrett, Beth A Virnig, Joan L Warren

Abstract readReview
In one paragraph

Review in Journal of the National Cancer Institute. Monographs, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 171 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
171citing papers in PubMed, 1 pooled it
–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

171 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Changes in opioid prescribing and high-risk co-prescribing after implementation of the 2016 CDC opioid guideline among older adults with and without cancer.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
    Article
  3. Article
  4. Uncovering hypothesis-generating associations between prescription drugs and digestive cancer risk: a case-control drug-wide association study (DWAS).Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026
    Article
  5. Article
  6. Measurement of Treatment Adequacy Influences Racial Disparities Estimates in Endometrial Cancer Care.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026
    Article
  7. Article
  8. Article
  9. Patterns of Multimorbidity among Older Adults with Colorectal Cancer Living in Puerto Rico.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Agreement between Surveillance, Epidemiology, and End Results- and Medicare Claims-Derived Uterine Cancer Treatment Data.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026
    Article
  19. Article
  20. Observational

111 more citing papers are in PubMed but not listed here.

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

8 authors.

Lindsey EnewoldNational Cancer Institute, Division of Cancer Control and Population Sciences, Healthcare Delivery Research Program, Bethesda, MD.
Helen ParsonsDivision of Health Policy and Management, School of Public Health, University of Minnesota, Minneapolis, MN.
Lirong ZhaoResearch and Rapid Cycle Evaluation Group, Center for Medicare & Medicaid Innovation, CMS, Baltimore, MD.
David BottResearch and Rapid Cycle Evaluation Group, Center for Medicare & Medicaid Innovation, CMS, Baltimore, MD.
Donna R RiveraNational Cancer Institute, Division of Cancer Control and Population Sciences, Surveillance Research Program, Bethesda, MD.
Michael J BarrettInformation Management Services, Calverton, MD.
Beth A VirnigDivision of Health Policy and Management, School of Public Health, University of Minnesota, Minneapolis, MN.
Joan L WarrenNational Cancer Institute, Division of Cancer Control and Population Sciences, Healthcare Delivery Research Program, Bethesda, MD.

Funding

Women's CancerP30CA077598 · NCI · UNIVERSITY OF MINNESOTA TWIN CITIES · PI Jeffrey S. Miller · 1998 to 2026
$100.4M
NCI NIH HHS P30 CA077598
6 · The paper itself

Abstract

backgroundThe National Cancer Institute's Surveillance, Epidemiology, and End Results (SEER)-Medicare-linked database was first created almost 30 years ago. Over time, additional data have been added to the SEER-Medicare database, allowing for expanded insights into the delivery of health care across the cancer continuum from screening to end of life.

methodsThis article includes an overview of the current SEER-Medicare database, presenting potential users with an introduction to how the data can facilitate innovative epidemiologic and health services research studies. With a focus on the population 65 years and older, this article presents descriptive data on beneficiary demographics, cancer characteristics, service settings, Medicare coverage (eg, Parts A, B, C, and D), and use (number of services or bills) from 2011 to 2015.

resultsFrom 2011 to 2015, 857 056 cancer patients and 601 470 population-based noncancer controls were added to the database. The database includes detailed tumor characteristics and clinical assessments for cancer cases, and demographics and health-care use (eg, hospitals, outpatient facilities, individual providers, hospice, home health-care providers, and pharmacies) for both cases and controls. Although characteristics varied overall between cases and controls, sufficient cancer-specific matched controls are available. Roughly 60% of cases were enrolled in fee for service at cancer diagnosis. The annual average number of claims per case was 60.7 and 92.3 during the year before and after cancer diagnosis, respectively, and 127.5 during the year before death.

conclusionsThe large sample size and diverse array of data on cancer patients and noncancer controls in the SEER-Medicare database make it a unique resource for conducting cancer health services research.

Indexed as

MedicareNeoplasmsSEER ProgramAgedAged, 80 and overFee-for-Service PlansFemaleHospice CareHumansMaleUnited States

Identifiers

PMID32412076
PMCPMC7225666

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.