Evidence map›Paper›PMID 35607276›Full record

ArticleHealth communication2023

Effects of Exposure to Conflicting Information About Mammography on Cancer Information Overload, Perceived Scientists' Credibility, and Perceived Journalists' Credibility.

Weijia Shi, Alexander J Rothman, Marco C Yzer, Rebekah H Nagler

Abstract read
In one paragraph

Article in Health communication, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. The effects of social media criticism against public health institutions on trust, emotions, and social media engagement.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. 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

4 authors.

Weijia ShiHubbard School of Journalism & Mass Communication, University of Minnesota.
Alexander J RothmanDepartment of Psychology, University of Minnesota.ORCID 0000-0003-3163-1895
Marco C YzerHubbard School of Journalism & Mass Communication, University of Minnesota.ORCID 0000-0002-9578-4818
Rebekah H NaglerHubbard School of Journalism & Mass Communication, University of Minnesota.

Funding

Univ of Minnesota Buidling Interdisciplinary Research Careers in Women's HealthK12HD055887 · NICHD · UNIVERSITY OF MINNESOTA · PI ALLEN, SHARON S, BERGE, JERICA M · 2007 to 2023
$8.6M
Effects of Prior Exposure to Conflicting Health Information on Responses to Subsequent Unrelated Health MessagesR21CA218054 · NCI · UNIVERSITY OF MINNESOTA · PI NAGLER, REBEKAH H · 2018 to 2019
$353k
NCI NIH HHS R21 CA218054NICHD NIH HHS K12 HD055887
6 · The paper itself

Abstract

Conflicting recommendations about mammography screening have received ample media coverage, emphasizing scientists' debate over the value of breast cancer screening and differences in professional organizations' guidelines about the appropriate starting age and frequency of routine mammograms. Whereas past research suggests that exposure to such media coverage of conflicting recommendations can have undesirable consequences, both on topic-specific (e.g., ambivalence about mammography) and more general outcomes (e.g., backlash toward cancer prevention recommendations), experimental evidence, especially for effects on more general health cognitions, is limited. Using data from a population-based sample of U.S. women aged 35-55 years (

Indexed as

Breast NeoplasmsMammographyCognitionCommunicationFemaleHumansLiteracy

Identifiers

PMID35607276
PMCPMC9681936

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.