Evidence map›Paper›PMID 31092248›Full record

Trial reportBMC medicine2019

Claims of causality in health news: a randomised trial.

Rachel C Adams, Aimée Challenger, Luke Bratton, Jacky Boivin, Lewis Bott, Georgina Powell, Andy Williams, Christopher D Chambers, Petroc Sumner

Abstract readMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in BMC medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. 2020 vision? A retrospective study of time-bound curative claims in British and Irish newspapers.The British journal of general practice : the journal of the Royal College of General Practitioners · 2022
    Article
  7. Causal theory error in college students' understanding of science studies.Cognitive research: principles and implications · 2022
    Article
  8. Article
  9. Misinformation in and about science.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Review
  10. Article
  11. Article
  12. Article
  13. Defining and detecting fake news in health and medicine reporting.Journal of the Royal Society of Medicine · 2020
    Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. 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

9 authors.

Rachel C AdamsCardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, UK.
Aimée ChallengerSchool of Psychology, Cardiff University, Cardiff, UK.
Luke BrattonSchool of Psychology, Cardiff University, Cardiff, UK.
Jacky BoivinSchool of Psychology, Cardiff University, Cardiff, UK.
Lewis BottSchool of Psychology, Cardiff University, Cardiff, UK.
Georgina PowellSchool of Psychology, Cardiff University, Cardiff, UK.
Andy WilliamsSchool of Journalism, Media & Cultural Studies, Cardiff University, Cardiff, UK.
Christopher D ChambersCardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, UK. chambersc1@cardiff.ac.uk.
Petroc SumnerSchool of Psychology, Cardiff University, Cardiff, UK. sumnerp@cardiff.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMisleading news claims can be detrimental to public health. We aimed to improve the alignment between causal claims and evidence, without losing news interest (counter to assumptions that news is not interested in communicating caution).

methodsWe tested two interventions in press releases, which are the main sources for science and health news: (a) aligning the headlines and main causal claims with the underlying evidence (strong for experimental, cautious for correlational) and (b) inserting explicit statements/caveats about inferring causality. The 'participants' were press releases on health-related topics (N = 312; control = 89, claim alignment = 64, causality statement = 79, both = 80) from nine press offices (journals, universities, funders). Outcomes were news content (headlines, causal claims, caveats) in English-language international and national media (newspapers, websites, broadcast; N = 2257), news uptake (% press releases gaining news coverage) and feasibility (% press releases implementing cautious statements).

resultsNews headlines showed better alignment to evidence when press releases were aligned (intention-to-treat analysis (ITT) 56% vs 52%, OR = 1.2 to 1.9; as-treated analysis (AT) 60% vs 32%, OR = 1.3 to 4.4). News claims also followed press releases, significant only for AT (ITT 62% vs 60%, OR = 0.7 to 1.6; AT, 67% vs 39%, OR = 1.4 to 5.7). The same was true for causality statements/caveats (ITT 15% vs 10%, OR = 0.9 to 2.6; AT 20% vs 0%, OR 16 to 156). There was no evidence of lost news uptake for press releases with aligned headlines and claims (ITT 55% vs 55%, OR = 0.7 to 1.3, AT 58% vs 60%, OR = 0.7 to 1.7), or causality statements/caveats (ITT 53% vs 56%, OR = 0.8 to 1.0, AT 66% vs 52%, OR = 1.3 to 2.7). Feasibility was demonstrated by a spontaneous increase in cautious headlines, claims and caveats in press releases compared to the pre-trial period (OR = 1.01 to 2.6, 1.3 to 3.4, 1.1 to 26, respectively).

conclusionsNews claims-even headlines-can become better aligned with evidence. Cautious claims and explicit caveats about correlational findings may penetrate into news without harming news interest. Findings from AT analysis are correlational and may not imply cause, although here the linking mechanism between press releases and news is known. ITT analysis was insensitive due to spontaneous adoption of interventions across conditions.

trial registrationISRCTN10492618 (20 August 2015).

Indexed as

Biomedical ResearchCausalityInformation DisseminationMass MediaCommunicationDouble-Blind MethodEvidence-Based MedicineHealth BehaviorHealth PromotionHumansPublic HealthUnited KingdomMediaPublic healthScience communicationScience news

Identifiers

PMID31092248
PMCPMC6521363

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.