Evidence map›Paper›PMID 30459208›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2019

Receipt of Colonoscopy Following Diagnosis of Advanced Adenomas: An Analysis within Integrated Healthcare Delivery Systems.

Jessica Chubak, Dale McLerran, Yingye Zheng, Amit G Singal, Douglas A Corley, V Paul Doria-Rose, Chyke A Doubeni, Aruna Kamineni, Jennifer S Haas, Ethan A Halm and 5 more

Abstract read
In one paragraph

Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.9field-weighted citation impact, top 21% 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

11 citing papers in PubMed, 23 citations in OpenAlex.

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  9. Black and White Differences in Colorectal Cancer Screening and Screening Outcomes: A Narrative Review.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2021
    Review
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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

15 authors at 8 institutions in 1 country.

Jessica ChubakKaiser Permanente Washington Health Research Institute, Seattle, Washington. jessica.chubak@kp.org.
Dale McLerranPublic Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington.
Yingye ZhengPublic Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington.
Amit G SingalDepartment of Clinical Sciences, University of Texas Southwestern Medical Center, Dallas, Texas.
Douglas A CorleyKaiser Permanente Northern California, Oakland, California.
V Paul Doria-RoseHealthcare Delivery Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, Maryland.
Chyke A DoubeniDepartment of Family Medicine and Community Health, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
Aruna KamineniKaiser Permanente Washington Health Research Institute, Seattle, Washington.
Jennifer S HaasDivision of General Internal Medicine, Brigham and Women's Hospital, Boston, Massachusetts.
Ethan A HalmDepartment of Clinical Sciences, University of Texas Southwestern Medical Center, Dallas, Texas.
Celette Sugg SkinnerDepartment of Clinical Sciences, University of Texas Southwestern Medical Center, Dallas, Texas.ORCID 0000-0002-2535-4476
Ann G ZauberDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York.
Karen J WernliKaiser Permanente Washington Health Research Institute, Seattle, Washington.
Elisabeth F Beaber
PROSPR consortium
Fred Hutch Cancer Center · USKaiser Permanente Washington Health Research Institute · USThe University of Texas Southwestern Medical Center · USBrigham and Women's Hospital · USKaiser Permanente · USMemorial Sloan Kettering Cancer Center · USNational Cancer Institute · USUniversity of Pennsylvania · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Elisa de Stanchina · 1985 to 2026
$347.4M
Optimizing Colorectal Cancer Screening PREcision and Outcomes in CommunIty-baSEd Populations (PRECISE)UM1CA222035 · NCI · KAISER FOUNDATION RESEARCH INSTITUTE · PI CHUBAK, JESSICA, CORLEY, DOUGLAS ALLEN · 2018 to 2023
$15.6M
Optimizing the use of colonoscopy for CRC screening in a large community-basedU54CA163262 · NCI · KAISER FOUNDATION RESEARCH INSTITUTE · PI CORLEY, DOUGLAS ALLEN, DOUBENI, CHYKE ABADAMA · 2011 to 2017
$9.6M
Parkland-UT Southwestern PROSPR Center Colon Cancer Screening in a Safety netU54CA163308 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI HALM, ETHAN A, SKINNER, CELETTE SUGG · 2011 to 2017
$8.0M
PROSPR Statistical Coordinating Center (PSCC)U01CA163304 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI BARLOW, WILLIAM E, THORNQUIST, MARK · 2011 to 2017
$7.5M
Studying Colorectal Cancer Effectiveness of Screening Strategies (SuCCESS)U54CA163261 · NCI · KAISER FOUNDATION RESEARCH INSTITUTE · PI CHUBAK, JESSICA · 2011 to 2017
$7.3M
Promoting personalized decisions for breast cancer screening for women AND theirU54CA163307 · NCI · DARTMOUTH COLLEGE · PI HAAS, JENNIFER S, ONEGA, TRACY · 2011 to 2017
$6.1M
NCI NIH HHS P30 CA008748NCI NIH HHS U01 CA163304NCI NIH HHS U54 CA163261NCI NIH HHS U54 CA163262NCI NIH HHS U54 CA163307NCI NIH HHS U54 CA163308NCI NIH HHS UM1 CA222035
6 · The paper itself

Abstract

backgroundTo reduce colorectal cancer incidence and mortality, experts recommend surveillance colonoscopy 3 years after advanced adenoma removal. Little is known about adherence to that interval.

methodsWe describe patterns of and factors associated with subsequent colonoscopy among persons with ≥3 adenomas and/or ≥1 adenoma with villous/tubulovillous histology in four U.S. integrated healthcare delivery systems. We report Kaplan-Meier estimators of the cumulative percentage of patients undergoing colonoscopy 6 months to 3.5 years after an index colonoscopy with high-risk findings. Combining data from three healthcare systems, we used multivariable logistic regression with inverse probability of censoring weights to estimate ORs and 95% confidence intervals (CI) for associations between patient characteristics and receipt of subsequent colonoscopy.

resultsAmong 6,909 persons with advanced adenomas, the percent receiving a subsequent colonoscopy 6 months to 3.5 years later ranged from 18.3% (95% CI: 11.7%-27.8%) to 59.5% (95% CI: 53.8%-65.2%) across healthcare systems. Differences remained significant in the multivariable model. Patients with ≥3 adenomas were more likely than those with 1 to 2 villous/tubulovillous adenomas to undergo subsequent colonoscopy. Subsequent colonoscopy was also more common for patients ages 60-74 and less common for patients ages 80 to 89 compared with those ages 50 to 54 years at their index colonoscopy. Sex, race/ethnicity, and comorbidity index score were generally not associated with subsequent colonoscopy receipt.

conclusionsColonoscopy within the recommended interval following advanced adenoma was underutilized and varied by healthcare system, age, and number of adenomas. IMPACT: Strategies to improve adherence to surveillance colonoscopy following advanced adenomas are needed.

Indexed as

AdenomaAgedAged, 80 and overCohort StudiesColonoscopyColorectal NeoplasmsDelivery of Health Care, IntegratedFemaleFollow-Up StudiesHumansIncidenceMaleMiddle AgedPractice Patterns, Physicians'Risk FactorsUnited States

Identifiers

PMID30459208
PMCPMC6324953
OpenAlexW2901079494

What OpenQuestion holds

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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.