Evidence map›Paper›PMID 24711210›Full record

ArticleCancer2014

Guideline-concordant cancer care and survival among American Indian/Alaskan Native patients.

Sara H Javid, Thomas K Varghese, Arden M Morris, Michael P Porter, Hao He, Dedra Buchwald, David R Flum, Collaborative to Improve Native Cancer Outcomes (CINCO)

Open access · bronzeAbstract read
In one paragraph

Article in Cancer, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 2 pooled it
3.0field-weighted citation impact, top 8% 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

43 citing papers in PubMed, 2 syntheses or guidelines pooled it, 83 citations in OpenAlex.

  1. Exploring disparities in adherence to colorectal cancer clinical practice guidelines and associated survival outcomes: a systematic review and meta-analysis.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
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  8. Comorbidities among American Indian and Alaska Native People with Cancer: A Surveillance, Epidemiology, and End Results-Medicare Study.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025
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  19. Patterns of Evidence-Based Care for the Diagnosis, Staging, and First-line Treatment of Breast Cancer by Race-Ethnicity: A SEER-Medicare Study.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2023
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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 at 2 institutions in 1 country.

Sara H JavidDepartment of Surgery, Surgical Outcomes Research Center, School of Medicine, University of Washington, Seattle, Washington.
Thomas K Varghese
Arden M Morris
Michael P Porter
Hao He
Dedra Buchwald
David R Flum
Collaborative to Improve Native Cancer Outcomes (CINCO)
University of Washington · USUniversity of Michigan–Ann Arbor · US

Funding

USING DIGITAL STORIES TO IMPROVE COLORECTAL CANCER SCREENING IN NATIVE AMERICANSP50CA148110 · NCI · UNIVERSITY OF WASHINGTON · PI GONZALES, ANGELA A · 2010 to 2014
$9.7M
NCI NIH HHS 1P50CA148110NCI NIH HHS N01-PC-35136NCI NIH HHS N01-PC-35139NCI NIH HHS N02-PC-15105NCI NIH HHS P50 CA148110
6 · The paper itself

Abstract

backgroundAmerican Indians/Alaskan Natives (AI/ANs) have the worst 5-year cancer survival of all racial/ethnic groups in the United States. Causes for this disparity are unknown. The authors of this report examined the receipt of cancer treatment among AI/AN patients compared with white patients.

methodsThis was a retrospective cohort study of 338,204 patients who were diagnosed at age ≥65 years with breast, colon, lung, or prostate cancer between 1996 and 2005 in the Surveillance, Epidemiology, and End Results-Medicare database. Nationally accepted guidelines for surgical and adjuvant therapy and surveillance were selected as metrics of optimal, guideline-concordant care. Treatment analyses compared AI/ANs with matched whites.

resultsAcross cancer types, AI/ANs were less likely to receive optimal cancer treatment and were less likely to undergo surgery (P ≤ .025 for all cancers). Adjuvant therapy rates were significantly lower for AI/AN patients with breast cancer (P < .001) and colon cancer (P = .001). Rates of post-treatment surveillance also were lower among AI/ANs and were statistically significantly lower for AI/AN patients with breast cancer (P = .002) and prostate cancer (P < .001). Nonreceipt of optimal cancer treatment was associated with significantly worse survival across cancer types. Disease-specific survival for those who did not undergo surgery was significantly lower for patients with breast cancer (hazard ratio [HR], 0.62), colon cancer (HR, 0.74), prostate cancer (HR, 0.52), and lung cancer (HR, 0.36). Survival rates also were significantly lower for those patients who did not receive adjuvant therapy for breast cancer (HR, 0.56), colon cancer (HR, 0.59), or prostate cancer (HR, 0.81; all 95% confidence intervals were <1.0).

conclusionsFewer AI/AN patients than white patients received guideline-concordant cancer treatment across the 4 most common cancers. Efforts to explain these differences are critical to improving cancer care and survival for AI/AN patients.

Indexed as

AgedAged, 80 and overBreast NeoplasmsChemotherapy, AdjuvantColonic NeoplasmsFemaleGuideline AdherenceHumansIndians, North AmericanInuitLung NeoplasmsMaleNeoplasmsOdds RatioPopulation SurveillancePractice Guidelines as TopicAlaskan NativeAmerican Indiancancerguidelinestreatment

Identifiers

PMID24711210
PMCPMC4219619
OpenAlexW1541107112

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.