Evidence map›Paper›PMID 30689685›Full record

ArticleAmerican journal of epidemiology2019

Predictors of Response Outcomes for Research Recruitment Through a Central Cancer Registry: Evidence From 17 Recruitment Efforts for Population-Based Studies.

Morgan M Millar, Anita Y Kinney, Nicola J Camp, Lisa A Cannon-Albright, Mia Hashibe, David F Penson, Anne C Kirchhoff, Deborah W Neklason, Alicia W Gilsenan, Gretchen S Dieck and 5 more

Open access · bronzeAbstract read
In one paragraph

Article in American journal of epidemiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.8field-weighted citation impact, top 16% 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

14 citing papers in PubMed, 14 citations in OpenAlex.

  1. Trial
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  9. Implementation ofJournal of clinical and translational science · 2024
    Article
  10. Health behaviors and well-being among those "living" with metastatic cancer in Alabama.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2022
    Article
  11. Article
  12. Patient-reported financial toxicity, quality of life, and health behaviors in insured US cancer survivors.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2021
    Article
  13. Article
  14. Utilizing SEER Cancer Registries for Population-Based Cancer Survivor Epidemiologic Studies: A Feasibility Study.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2020
    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

15 authors at 4 institutions in 1 country.

Morgan M MillarDivision of Epidemiology, Department of Internal Medicine, School of Medicine, University of Utah, Salt Lake City, Utah.
Anita Y KinneyDepartment of Biostatistics and Epidemiology, School of Public Health, Rutgers University, New Brunswick, New Jersey.
Nicola J CampDivision of Hematology and Hematological Malignancies, Department of Internal Medicine, School of Medicine, University of Utah, Salt Lake City, Utah.
Lisa A Cannon-AlbrightDivision of Epidemiology, Department of Internal Medicine, School of Medicine, University of Utah, Salt Lake City, Utah.
Mia HashibeUtah Cancer Registry, University of Utah Health, University of Utah, Salt Lake City, Utah.
David F PensonUrologic Surgery, Department of Urology, Vanderbilt University Medical Center, Vanderbilt University, Nashville, Tennessee.
Anne C KirchhoffCancer Control and Population Sciences Program, Huntsman Cancer Institute, University of Utah Health, University of Utah, Salt Lake City, Utah.
Deborah W NeklasonDivision of Epidemiology, Department of Internal Medicine, School of Medicine, University of Utah, Salt Lake City, Utah.
Alicia W GilsenanDepartment of Epidemiology, RTI Health Solutions, RTI International, Research Triangle Park, North Carolina.
Gretchen S DieckSafety, Epidemiology, and Risk Management, United BioSource Corporation, Blue Bell, Pennsylvania.
Antoinette M StroupRutgers Cancer Institute of New Jersey, Rutgers Health, Rutgers University, New Brunswick, New Jersey.
Sandra L EdwardsUtah Cancer Registry, University of Utah Health, University of Utah, Salt Lake City, Utah.
Carrie BatemanUtah Cancer Registry, University of Utah Health, University of Utah, Salt Lake City, Utah.
Marjorie E CarterUtah Cancer Registry, University of Utah Health, University of Utah, Salt Lake City, Utah.
Carol SweeneyDivision of Epidemiology, Department of Internal Medicine, School of Medicine, University of Utah, Salt Lake City, Utah.
University of Utah · USRutgers, The State University of New Jersey · USRTI International · USVanderbilt University Medical Center · US

Funding

UTAH REGIONAL CANCER CENTERP30CA042014 · NCI · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI KATHARINE S ULLMAN · 1986 to 2026
$72.6M
Utah Center for Clinical and Translational ScienceUL1TR002538 · NCATS · UNIVERSITY OF UTAH · PI HESS, RACHEL, MAJERSIK, JENNIFER JUHL · 2018 to 2022
$26.0M
Comparative Effectiveness of Treatments for Localized Prostate CancerR01HS019356 · AHRQ · VANDERBILT UNIVERSITY · PI PENSON, DAVID F. · 2010 to 2010
$7.6M
GENETIC EPIDEMIOLOGY OF CHRONIC LYMPHOCYTIC LEUKEMIAR01CA134674 · NCI · UNIVERSITY OF UTAH · PI CAMP, NICOLA J. · 2010 to 2016
$3.8M
Exome sequencing for head and neck cancer susceptibility genesR01DE023414 · NIDCR · UNIVERSITY OF UTAH · PI HASHIBE, MIA, TAVTIGIAN, SEAN VAHRAM · 2014 to 2018
$3.6M
'Heart Failure in the Community: Multimorbidity and Outcomes'R01HL120859 · NHLBI · MAYO CLINIC ROCHESTER · PI ROGER, VERONIQUE LEE · 2014 to 2017
$3.2M
Massively Parallel Sequencing for Familial Colon Cancer GenesR01CA164138 · NCI · UNIVERSITY OF UTAH · PI ALBRIGHT, LISA CANNON, TAVTIGIAN, SEAN VAHRAM · 2012 to 2016
$2.9M
Shared Genomic Segment Analysis and Tumor Subtyping in High-Risk BrCa PedigreesR01CA163353 · NCI · UNIVERSITY OF UTAH · PI CAMP, NICOLA J. · 2012 to 2016
$2.9M
Bridging Geographic Barriers: Remote Cancer Genetics Counseling for Rural WomenR01CA129142 · NCI · UNIVERSITY OF UTAH · PI KINNEY, ANITA Y. · 2009 to 2013
$2.9M
Comparative Effectiveness of Modern Therapies for Localized Prostate CancerR01HS022640 · AHRQ · VANDERBILT UNIVERSITY MEDICAL CENTER · PI PENSON, DAVID F. · 2013 to 2013
$1.8M
Genetic and Environmental Etiology of Familial Small Intestinal Carcinoid CancerR21CA205796 · NCI · UNIVERSITY OF UTAH · PI NEKLASON, DEBORAH WOOD · 2016 to 2017
$461k
Population-based Cohort of Endometrial Cancer Survivors in UtahR21CA185811 · NCI · UNIVERSITY OF UTAH · PI HASHIBE, MIA · 2015 to 2016
$356k
AHRQ HHS R01 HS019356AHRQ HHS R01 HS022640NCATS NIH HHS UL1 TR002538NCI NIH HHS P30 CA042014NCI NIH HHS R01 CA129142NCI NIH HHS R01 CA134674NCI NIH HHS R01 CA163353NCI NIH HHS R01 CA164138NCI NIH HHS R21 CA152336NCI NIH HHS R21 CA185811NCI NIH HHS R21 CA205796NHLBI NIH HHS R01 HL120859NIDCR NIH HHS R01 DE023414
6 · The paper itself

Abstract

When recruiting research participants through central cancer registries, high response fractions help ensure population-based representation. We conducted multivariable mixed-effects logistic regression to identify case and study characteristics associated with making contact with and obtaining cooperation of Utah cancer cases using data from 17 unique recruitment efforts undertaken by the Utah Cancer Registry (2007-2016) on behalf of the following studies: A Population-Based Childhood Cancer Survivors Cohort Study in Utah, Comparative Effectiveness Analysis of Surgery and Radiation for Prostate Cancer (CEASAR Study), Costs and Benefits of Follow-up Care for Adolescent and Young Adult Cancers, Study of Exome Sequencing for Head and Neck Cancer Susceptibility Genes, Genetic Epidemiology of Chronic Lymphocytic Leukemia, Impact of Remote Familial Colorectal Cancer Risk Assessment and Counseling (Family CARE Project), Massively Parallel Sequencing for Familial Colon Cancer Genes, Medullary Thyroid Carcinoma (MTC) Surveillance Study, Osteosarcoma Surveillance Study, Prostate Cancer Outcomes Study, Risk Education and Assessment for Cancer Heredity Project (REACH Project), Study of Shared Genomic Segment Analysis and Tumor Subtyping in High-Risk Breast-Cancer Gene Pedigrees, Study of Shared Genomic Segment Analysis for Localizing Multiple Myeloma Genes. Characteristics associated with lower odds of contact included Hispanic ethnicity (odds ratio (OR) = 0.34, 95% confidence interval (CI): 0.27, 0.41), nonwhite race (OR = 0.46, 95% CI: 0.35, 0.60), and younger age at contact. Years since diagnosis was inversely associated with making contact. Nonwhite race and age ≥60 years had lower odds of cooperation. Study features with lower odds of cooperation included longitudinal design (OR = 0.50, 95% CI: 0.41, 0.61) and study brochures (OR = 0.70, 95% CI: 0.54, 0.90). Increased odds of cooperation were associated with including a questionnaire (OR = 3.19, 95% CI: 1.54, 6.59), postage stamps (OR = 1.60, 95% CI: 1.21, 2.12), and incentives (OR = 1.62, 95% CI: 1.02, 2.57). Among cases not responding after the first contact, odds of eventual response were lower when >10 days elapsed before subsequent contact (OR = 0.71, 95% CI: 0.59, 0.85). Obtaining high response is challenging, but study features identified in this analysis support better results when recruiting through central cancer registries.

Indexed as

Patient SelectionAdultAgedAged, 80 and overAge FactorsEpidemiologic MethodsFemaleHumansLogistic ModelsMaleMiddle AgedNeoplasmsOdds RatioRacial GroupsRegistriesResearch Subjectsepidemiologic research designmethodsneoplasmspatient participation ratesregistriesresearch subject recruitmentsurveys and questionnaires

Identifiers

PMID30689685
PMCPMC6494669
OpenAlexW2913617852

What OpenQuestion holds

Textmetadata
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Registered trials

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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.