Evidence map›Paper›PMID 36518604›Full record

ArticlePEC innovation2022

Investigating the presentation of uncertainty in an icon array: A randomized trial.

Gabriel Recchia, Alice C E Lawrence, Alexandra L J Freeman

Open access · hybridAbstract read
In one paragraph

Article in PEC innovation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
3.4field-weighted citation impact, top 7% 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

6 citing papers in PubMed, 12 citations in OpenAlex.

  1. Trial
  2. Enhancing risk and crisis communication with computational methods: A systematic literature review.Risk analysis : an official publication of the Society for Risk Analysis · 2025
    Article
  3. 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

3 authors at 1 institution in 1 country.

Gabriel RecchiaWinton Centre for Risk and Evidence Communication, Department of Pure Mathematics and Mathematical Statistics, University of Cambridge, Cambridge, UK.
Alice C E LawrenceWinton Centre for Risk and Evidence Communication, Department of Pure Mathematics and Mathematical Statistics, University of Cambridge, Cambridge, UK.
Alexandra L J FreemanWinton Centre for Risk and Evidence Communication, Department of Pure Mathematics and Mathematical Statistics, University of Cambridge, Cambridge, UK.
University of Cambridge · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Clinicians are often advised to use pictographs to communicate risk, but whether they offer benefits when communicating risk imprecision (e.g., 65%-79%) is unknown. Purpose: To test whether any of three approaches to visualizing imprecision would more effectively communicate breast and ovarian cancer risk for Methods: 1,300 UK residents were presented with a genetic report with information about Results: There was no effect of format. Participants shown pictographs vs. text alone had better uptake of breast cancer risk messages ( Conclusions: We found weak evidence in favor of using simple pictographs with ranges to communicate Innovation: Testing different ways of communicating imprecision within pictographs is a novel and promising line of research.

Indexed as

CommunicationGenetic risk communicationIcon arraysPictogramsPictographsRisk communicationUncertainty

Identifiers

PMID36518604
PMCPMC9731905
OpenAlexW4210374159

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.