Evidence map›Paper›PMID 19295423›Full record

ArticleCancer nursing

Perceived intrafamily melanoma risk communication.

Lois J Loescher, Janice D Crist, Leilani A C L Siaki

Abstract read
In one paragraph

Article in Cancer nursing. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
0.6field-weighted citation impact, top 27% 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

16 citing papers in PubMed, 23 citations in OpenAlex.

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  13. Communication by mothers with breast cancer or melanoma with their children.International journal of environmental research and public health · 2013
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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

3 authors at 2 institutions in 2 countries.

Lois J LoescherUniversity of Arizona College of Nursing, PO Box 210203, Tucson, AZ 85721-0203, USA. loescher@nursing.arizona.edu
Janice D Crist
Leilani A C L Siaki
University of Arizona · USOkinawa Prefectural College of Nursing · JP

Funding

Risk Perception/Communications/Reduction BehaviorsK07CA106996 · NCI · UNIVERSITY OF ARIZONA · PI LOESCHER, LOIS J · 2004 to 2008
$643k
NCI NIH HHS 1K07CA106996NCI NIH HHS K07 CA106996
6 · The paper itself

Abstract

Melanoma is a skin cancer that can be deadly. Members of families with a strong history of melanoma have a high risk of melanoma occurrence or recurrence. Enhanced survival in these family members could be influenced by their knowledge of melanoma risk and by simple behaviors to decrease their risk or detect melanoma in its early, most curable, stage. Yet, there is minimal exploration on communication of risk or risk-modifying behaviors in melanoma at-risk families. In this study, we describe perceived intrafamily communication of melanoma risk. Using a qualitative descriptive approach, we examined in-depth interviews with 22 members of 8 families having 2 or more cases of melanoma. We identified 4 major themes: (1) awareness and understanding of risk, (2) families facilitate and hinder communication, (3) promoting melanoma prevention and detection in the family, and (4) an obligation to tell others. We discuss these findings in the context of extant knowledge of cancer risk communication in families at high risk for other cancers, impediments to cancer risk communication, remaining gaps in knowledge of this phenomenon, suggestions for hypothesis-driven research, and clinical implications that are applicable to these and other at-risk families.

Indexed as

Attitude to HealthCommunicationGenetic Predisposition to DiseaseMelanomaSkin NeoplasmsAdolescentAdultAgedArizonaAwarenessFamilyFemaleHumansMaleMiddle AgedNursing Methodology Research

Identifiers

PMID19295423
PMCPMC2909761
OpenAlexW2017280102

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.