Evidence map›Paper›PMID 20563321›Full record

ArticleHealth, risk & society2010

Uncertain Futures: Individual Risk and Social Context in Decision-Making in Cancer Screening.

Simon J Craddock Lee

Abstract read
In one paragraph

Article in Health, risk & society, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Translating Cancer Risk Prediction Models into Personalized Cancer Risk Assessment Tools: Stumbling Blocks and Strategies for Success.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2020
    Article
  5. Article
  6. Article
  7. The sociology of cancer: a decade of research.Sociology of health & illness · 2018
    Review
  8. Article
  9. Examining Intuitive Cancer Risk Perceptions in Haitian-Creole and Spanish-Speaking Populations.Journal of transcultural nursing : official journal of the Transcultural Nursing Society · 2016
    Article
  10. Article
  11. Article
  12. Article
  13. 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

1 author.

Simon J Craddock LeeDepartment of Clinical Sciences Division of Ethics & Health Policy University of Texas Southwestern Medical Center at Dallas, USA.

Funding

NORTH AND CENTRAL TEXAS CTSA FOR PEDIATRIC RESEARCHUL1RR024982 · NCRR · UT SOUTHWESTERN MEDICAL CENTER · PI TOTO, ROBERT DANIEL · 2007 to 2011
$27.9M
NCRR NIH HHS UL1 RR024982
6 · The paper itself

Abstract

A core logic of cancer control and prevention, like much in public health, turns on the notion of decision-making under conditions of uncertainty. Population-level data are increasingly used to develop risk profiles, or estimates, that clinicians and the consumer public may use to guide individual decisions about cancer screening. Individual risk perception forms a piece of a larger social economy of decision-making and choice that makes population screening possible. Individual decision-making depends on accessing and interpreting available clinical information, filtered through the lens of personal values and both cognitive and affective behavioral processes. That process is also mediated by changing social roles and interpersonal relationships. This paper begins to elucidate the influence of this "social context" within the complexity of cancer screening. Reflecting on current work in risk and health, I consider how ethnographic narrative methods can enrich this model.

Identifiers

PMID20563321
PMCPMC2886592

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.