Evidence map›Paper›PMID 23143846›Full record

Trial reportJournal of cancer education : the official journal of the American Association for Cancer Education2013

Testing messages to encourage discussion of clinical trials among cancer survivors and their physicians: examining monitoring style and message detail.

Lindsay R Duncan, Amy E Latimer, Elizabeth Pomery, Susan E Rivers, Michelle C Berotoli, Peter Salovey

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of cancer education : the official journal of the American Association for Cancer Education, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

6 authors.

Lindsay R DuncanDepartment of Psychology, Yale University, New Haven, CT, USA, lindsay.duncan@yale.edu
Amy E Latimer
Elizabeth Pomery
Susan E Rivers
Michelle C Berotoli
Peter Salovey

Funding

TOBACCO DEPENDENCE AND RISK FACTORS FOR TREATMENT FAILURP50DA013334 · NIDA · YALE UNIVERSITY · PI O'MALLEY, STEPHANIE S · 1999 to 2003
$8.0M
PROMOTING CANCER PREVENTION/CONTROL WITH MESSAGE FRAMINGR01CA068427 · NCI · YALE UNIVERSITY · PI SALOVEY, PETER · 1997 to 2011
$4.6M
NCI NIH HHS R01 CA068427NIDA NIH HHS P50 DA013334
6 · The paper itself

Abstract

Encouraging cancer survivors to discuss clinical trials with their physicians may increase enrollment in clinical trials. Health messages offer one method for encouraging such discussions. We hypothesized that matching messages to an individual's preference for detailed or non-detailed information (i.e., monitoring style) would result in more discussions. Participants (N = 538) were cancer survivors, who phoned the National Cancer Institute's Cancer Information Service (CIS). Participants were classified as higher or lower monitors and then randomized to receive detailed or non-detailed messages in the mail 1 and 4 weeks following their baseline CIS call. At 12 weeks, there was a significant interaction between monitoring style and message detail. Follow-up analyses were nonsignificant but suggested a theoretically consistent pattern in which non-detailed messages were more effective among lower monitors. These findings imply that providing extremely detailed information may be excessive, even to individuals engaged in information seeking behavior.

Indexed as

Clinical Trials as TopicHealth BehaviorPhysiciansText MessagingCritical CareFemaleHumansInformation ServicesMaleNational Cancer Institute (U.S.)NeoplasmsSurvivorsUnited States

Identifiers

PMID23143846
PMCPMC3594111

What OpenQuestion holds

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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.