Evidence map›Paper›PMID 24443732›Full record

ArticleJournal of oncology practice2014

Enhancing the American Society of Clinical Oncology workforce information system with geographic distribution of oncologists and comparison of data sources for the number of practicing oncologists.

M Kelsey Kirkwood, Suanna S Bruinooge, Michael A Goldstein, Dean F Bajorin, Michael P Kosty

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Journal of oncology practice, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
57citing 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

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

  1. The role of digital health technology in rural cancer care delivery: A systematic review.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2022
    Pooled it
  2. Impact of Ostomy Self-Management Telehealth training for rural cancer survivors on health care utilization and economic outcomes in the United States.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2025
    Trial
  3. Article
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  5. "The aspect of caregiving becomes incredibly complex": lived experiences of rural cancer caregiving identified through community advisory board engagement.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
    Article
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  9. Observational
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  11. Seeking connection: A qualitative study of psychosocial support needs of rural cancer survivors in Minnesota.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2025
    Article
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  14. Geographic distance to Commission on Cancer-accredited and nonaccredited hospitals in the United States.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2025
    Article
  15. Article
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  18. Neighborhood Disadvantage and Prostate Tumor Aggressiveness among African American and European American Men.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2024
    Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

M Kelsey KirkwoodAmerican Society of Clinical Oncology, Alexandria, VA; Beth Israel Deaconess Medical Center, Boston, MA; Memorial Sloan-Kettering Cancer Center, New York, NY; and Scripps Clinic, La Jolla, CA.
Suanna S Bruinooge
Michael A Goldstein
Dean F Bajorin
Michael P Kosty

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe American Society of Clinical Oncology (ASCO) 2007 workforce report projected US oncologist shortages by 2020. Intervening years have witnessed shifting trends in both supply and demand, demonstrating the need to capture data in a dynamic manner. The ASCO Workforce Information System (WIS) provides an infrastructure to update annually emerging characteristics of US oncologists (medical oncologists, hematologist/oncologists, and hematologists).

methodsSeveral possible data sources exist to capture the number of oncologists in the United States. The WIS primarily uses the American Medical Association Physician Masterfile database because it provides detailed demographics. This analysis also compares total counts of oncologists from American Board of Internal Medicine (ABIM) certification reports, the National Provider Identifier (NPI) database, and Medicare Physician Compare data. The analysis also examines geographic distribution of oncologists by age and US population data.

resultsFor each of the data sources, we pulled 2013 data. The Masterfile identified 13,409 oncologists. ABIM reported 13,757 oncologists. NPI listed 11,664 oncologists. Physician Compare identified 11,343 oncologists. Mapping of these data identifies distinct areas (primarily in central United States, Alaska, and Hawaii) that seem to lack ready access to oncologists. DISCUSSION: Efforts to survey oncologists about practice patterns will help determine if productivity and service delivery will change significantly. ASCO is committed to tracking oncologist supply and demand, as well as to providing timely analysis of strategies that will help address any shortages that may occur in specific regions or practice settings.

Indexed as

Medical OncologyGeographyHealth Services Needs and DemandHealth WorkforceHumansInformation SystemsPhysiciansSocieties, MedicalUnited States

Identifiers

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.