Evidence map›Paper›PMID 23448232›Full record

ArticleJournal of health communication2013

Cancer patient and survivor research from the cancer information service research consortium: a preview of three large randomized trials and initial lessons learned.

Alfred C Marcus, Michael A Diefenbach, Annette L Stanton, Suzanne M Miller, Linda Fleisher, Peter C Raich, Marion E Morra, Rosemarie Slevin Perocchia, Zung Vu Tran, Mary Anne Bright and 1 more

Abstract read
In one paragraph

Article in Journal of health communication, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 2 pooled it
7.9field-weighted citation impact, top 3% 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

19 citing papers in PubMed, 2 syntheses or guidelines pooled it, 34 citations in OpenAlex.

  1. Pooled it
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  7. Head to head randomized trial of two decision aids for prostate cancer.BMC medical informatics and decision making · 2021
    Trial
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  10. The psychosocial needs of underserved breast cancer survivors and perspectives of their clinicians and support providers.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2022
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  11. Article
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  13. Review
  14. Prevalence and correlates of fear of recurrence among adolescent and young adult versus older adult post-treatment cancer survivors.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2016
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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

11 authors at 9 institutions in 1 country.

Alfred C MarcusUniversity of Colorado Cancer Center, University of Colorado, Denver, 12474 E. 19th Avenue, Mail Stop F427, Room 141, Aurora, CO 80045, USA. al.marcus@ucdenver.edu
Michael A Diefenbach
Annette L Stanton
Suzanne M Miller
Linda Fleisher
Peter C Raich
Marion E Morra
Rosemarie Slevin Perocchia
Zung Vu Tran
Mary Anne Bright
CISRC Research Team
Fox Chase Cancer Center · USDenver Health Medical Center · USIcahn School of Medicine at Mount Sinai · USMemorial Sloan Kettering Cancer Center · USNational Cancer Institute · USUniversity of California, Los Angeles · USUniversity of Colorado Cancer Center · USUniversity of Colorado Denver · USYale University · US

Funding

WORD PROCESSING CENTER--COREP30CA006927 · NCI · RESEARCH INST OF FOX CHASE CAN CTR · PI Margaret von Mehren · 1985 to 2026
$138.8M
University of Colorado Cancer Center Support Grant - Lung Cancer Patient-Derived Xenografts with Autologous Human Immune SystemsP30CA046934 · NCI · UNIVERSITY OF COLORADO DENVER · PI James V Degregori · 1988 to 2026
$117.0M
USING TAILORED MESSAGE TO INCREASE COLORECTAL SCREENINGP01CA057586 · NCI · UNIVERSITY OF COLORADO DENVER · PI MARCUS, ALFRED C · 1993 to 2010
$10.5M
NCI NIH HHS 5P01CA057586NCI NIH HHS P01 CA057586NCI NIH HHS P30 CA006927NCI NIH HHS P30 CA046934NCI NIH HHS P30CA06927
6 · The paper itself

Abstract

The authors describe 3 large randomized trials from the Cancer Information Service Research Consortium. Three web-based multimedia programs are being tested to help newly diagnosed prostate (Project 1) and breast cancer patients (Project 2) make informed treatment decisions and breast cancer patients prepare for life after treatment (Project 3). Project 3 also tests a telephone callback intervention delivered by a cancer information specialist. All participants receive standard print material specific to each project. Preliminary results from the 2-month follow-up interviews are reported for the initial wave of enrolled participants, most of whom were recruited from the Cancer Information Service (1-800-4-CANCER) telephone information program (Project 1: n =208; Project 2: n =340; Project 3: n =792). Self-reported use of the multimedia program was 51%, 52%, and 67% for Projects 1, 2, and 3, respectively. Self-reported use of the print materials (read all, most, or some) was 90%, 85%, and 83% for Projects 1, 2, and 3, respectively. The callback intervention was completed by 92% of Project 3 participants. Among those using the Cancer Information Service Research Consortium interventions, perceived usefulness and benefit was high, and more than 90% reported that they would recommend them to other cancer patients. The authors present 5 initial lessons learned that may help inform future cancer communications research.

Indexed as

Information ServicesRandomized Controlled Trials as TopicAgedBreast NeoplasmsFemaleFollow-Up StudiesHumansInternetMaleMiddle AgedMultimediaPatient Education as TopicPatient SatisfactionProgram EvaluationProstatic NeoplasmsSurvivors

Identifiers

PMID23448232
PMCPMC4242510
OpenAlexW1982743587

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.