Evidence map›Paper›PMID 25322304›Full record

ArticleAmerican journal of public health2014

Social network effects of nonlifesaving early-stage breast cancer detection on mammography rates.

Sarah A Nowak, Andrew M Parker

Open access · greenAbstract read
In one paragraph

Article in American journal of public health, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 30% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Article
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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

2 authors at 1 institution in 1 country.

Sarah A NowakSarah A. Nowak is with the RAND Corporation, Engineering and Applied Sciences, Santa Monica, CA. Andrew M. Parker is with the RAND Corporation, Behavioral and Policy Sciences, Pittsburgh, PA.
Andrew M Parker
RAND Corporation · US

Funding

Building an Inter-Disciplinary Network on Culture and HIV Risk PerceptionR24MD008818 · NIMHD · RAND CORPORATION · PI KENNEDY, DAVID PATRICK · 2013 to 2014
$500k
Health Outcomes, Risk Perceptions and Preventative Behavior on Social NetworksR21CA157571 · NCI · RAND CORPORATION · PI VARDAVAS, RAFFAELE · 2011 to 2012
$420k
NCI NIH HHS R21 CA157571NCI NIH HHS R21CA157571NIMHD NIH HHS R24 MD008818NIMHD NIH HHS R24MD008818
6 · The paper itself

Abstract

objectivesWe estimated the effect of anecdotes of early-stage, screen-detected cancer for which screening was not lifesaving on the demand for mammography.

methodsWe constructed an agent-based model of mammography decisions, in which 10 000 agents that represent women aged 40 to 100 years were linked together on a social network, which was parameterized with a survey of 716 women conducted through the RAND American Life Panel. Our model represents a population in equilibrium, with demographics reflecting the current US population based on the most recent available census data.

resultsThe aggregate effect of women learning about 1 category of cancers-those that would be detected but would not be lethal in the absence of screening-was a 13.8 percentage point increase in annual screening rates.

conclusionsAnecdotes of detection of early-stage cancers relayed through social networks may substantially increase demand for a screening test even when the detection through screening was nonlifesaving.

Indexed as

Social SupportBreast NeoplasmsDecision MakingEarly Detection of CancerFemaleHumansMammographyModels, TheoreticalSurveys and Questionnaires

Identifiers

PMID25322304
PMCPMC4232109
OpenAlexW2113417253

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.