Evidence map›Paper›PMID 20386058›Full record

ArticleJournal of the National Cancer Institute. Monographs2010

Intraclass correlation estimates for cancer screening outcomes: estimates and applications in the design of group-randomized cancer screening studies.

Erinn M Hade, David M Murray, Michael L Pennell, Dale Rhoda, Electra D Paskett, Victoria L Champion, Benjamin F Crabtree, Allen Dietrich, Mark B Dignan, Melissa Farmer and 11 more

Erratum issuedAbstract read
In one paragraph

Article in Journal of the National Cancer Institute. Monographs, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 28 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 5 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

28 citing papers in PubMed, 5 syntheses or guidelines pooled it.

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  4. Do community health worker interventions improve rates of screening mammography in the United States? A systematic review.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2011
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4 · The record

Corrections and comments

  • Erratum issued
  • Erratum issued
5 · Who and what money

Authors and funding

21 authors.

Erinn M HadeCenter for Biostatistics, The Ohio State University, 2012 Kenny Rd, Columbus, OH 43221, USA. erinn.hade@osumc.edu
David M Murray
Michael L Pennell
Dale Rhoda
Electra D Paskett
Victoria L Champion
Benjamin F Crabtree
Allen Dietrich
Mark B Dignan
Melissa Farmer
Joshua J Fenton
Susan Flocke
Robert A Hiatt
Shawna V Hudson
Michael Mitchell
Patrick Monahan
Salma Shariff-Marco
Stacey L Slone
Kurt Stange
Susan L Stewart
Pamela A Ohman Strickland

Funding

University of Iowa Clinical and Translational Science Program (TL1)UL1RR025755 · NCRR · OHIO STATE UNIVERSITY · PI JACKSON, REBECCA D · 2008 to 2011
$26.3M
TRAINING AND CAREER DEVELOPMENTP50CA105632 · NCI · OHIO STATE UNIVERSITY · PI PASKETT, ELECTRA D. · 2003 to 2016
$17.2M
Enhancing Colorectal CA Screening through Learning TeamsR01CA112387 · NCI · UNIV OF MED/DENT NJ-R W JOHNSON MED SCH · PI CRABTREE, BENJAMIN F · 2005 to 2010
$2.9M
Integrating Practice & Community Cancer ControlK05CA140237 · NCI · UNIV OF MED/DENT NJ-R W JOHNSON MED SCH · PI CRABTREE, BENJAMIN F · 2009 to 2013
$851k
Life After Cancer: Examining Survivor Transitions From Specialist to Primary CareK01CA131500 · NCI · UNIV OF MED/DENT NJ-R W JOHNSON MED SCH · PI HUDSON, SHAWNA V. · 2008 to 2012
$641k
NCI NIH HHS K01 CA131500NCI NIH HHS K05 CA140237NCI NIH HHS P50 CA105632NCI NIH HHS P50CA105632NCI NIH HHS R01 CA112387NCRR NIH HHS UL1 RR025755
6 · The paper itself

Abstract

backgroundScreening has become one of our best tools for early detection and prevention of cancer. The group-randomized trial is the most rigorous experimental design for evaluating multilevel interventions. However, identifying the proper sample size for a group-randomized trial requires reliable estimates of intraclass correlation (ICC) for screening outcomes, which are not available to researchers. We present crude and adjusted ICC estimates for cancer screening outcomes for various levels of aggregation (physician, clinic, and county) and provide an example of how these ICC estimates may be used in the design of a future trial.

methodsInvestigators working in the area of cancer screening were contacted and asked to provide crude and adjusted ICC estimates using the analysis of variance method estimator.

resultsOf the 29 investigators identified, estimates were obtained from 10 investigators who had relevant data. ICC estimates were calculated from 13 different studies, with more than half of the studies collecting information on colorectal screening. In the majority of cases, ICC estimates could be adjusted for age, education, and other demographic characteristics, leading to a reduction in the ICC. ICC estimates varied considerably by cancer site and level of aggregation of the groups.

conclusionsPreviously, only two articles had published ICCs for cancer screening outcomes. We have complied more than 130 crude and adjusted ICC estimates covering breast, cervical, colon, and prostate screening and have detailed them by level of aggregation, screening measure, and study characteristics. We have also demonstrated their use in planning a future trial and the need for the evaluation of the proposed interval estimator for binary outcomes under conditions typically seen in GRTs.

Indexed as

Analysis of VarianceAgedAged, 80 and overBreast NeoplasmsColorectal NeoplasmsData CollectionEarly Detection of CancerEndoscopy, GastrointestinalFemaleHumansMaleMammographyMass ScreeningMiddle AgedOccult BloodOutcome Assessment, Health CareProstate-Specific Antigen

Identifiers

PMID20386058
PMCPMC2924625

What OpenQuestion holds

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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.