Evidence map›Paper›PMID 18197450›Full record

ArticleWorld journal of surgery2008

Disparities in oncologic surgery.

Caprice C Greenberg, Jane C Weeks, Steven C Stain

Abstract read
In one paragraph

Article in World journal of surgery, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

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

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

  1. Pooled it
  2. Healthcare Disparities in Spine Oncology: A Systematic Review.Journal of racial and ethnic health disparities · 2025
    Review
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. The role of unconscious bias in surgical safety and outcomes.The Surgical clinics of North America · 2012
    Review
  11. Article
  12. 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

3 authors.

Caprice C GreenbergCenter for Surgery and Public Health, Brigham and Women's Hospital, 75 Francis Street, Boston, Massachusetts 02115, USA. CCGREENBERG@PARTNERS.ORG
Jane C Weeks
Steven C Stain

Funding

NCI NIH HHS L30 CA123695
6 · The paper itself

Abstract

Surgical oncology is one of the most frequently studied surgical specialties with regard to disparities in quality of care. There is variation in the care received according to nonclinical factors such as age, race and ethnicity, education, income, and even geographic region. Differences exist with regard to who gets treatment, what treatment is received, and the outcomes of those treatments. Although the existence of such disparities is no longer in doubt, the etiology is still being investigated. Ongoing research and quality improvement initiatives move beyond the mere description of existing disparities in one of three ways: (1) identifying and understanding the factors that lead to disparities; (2) advancing available methods to measure and track disparities; and (3) developing an approach to improvement. In this article, we start out by offering a framework to describe potential factors that lead to disparities, using examples from surgical oncology. We then describe the approaches to measuring and tracking disparities that are being used in research and quality improvement. Finally, we attempt to illustrate how all of these factors interact and offer some potential strategies to close the gap and alleviate disparities within the discipline.

Indexed as

Healthcare DisparitiesMinority GroupsHealth Services ResearchHumansMedical OncologyMinority HealthNational Institutes of Health (U.S.)Oncology Service, HospitalQuality of Health CareSEER ProgramSurgical Procedures, OperativeUnited States

Identifiers

PMID18197450
PMCPMC4195237

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.