Evidence map›Paper›PMID 39995775›Full record

ReviewMDM policy & practice

How Point (Single-Probability) Tasks Are Affected by Probability Format, Part 2: A Making Numbers Meaningful Systematic Review.

Jessica S Ancker, Natalie C Benda, Mohit M Sharma, Stephen B Johnson, Michelle Demetres, Diana Delgado, Brian J Zikmund-Fisher

Abstract readReview
In one paragraph

Review in MDM policy & practice. 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
–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

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

  1. Personalizing cancer risk: a systematic review of risk communication strategies.Journal of cancer research and clinical oncology · 2026
    Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
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

7 authors.

Jessica S AnckerDepartment of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA.ORCID https://orcid.org/0000-0002-3859-9130
Natalie C BendaColumbia University School of Nursing, New York, NY, USA.
Mohit M SharmaDepartment of Population Health Sciences, Weill Cornell Medical College, New York, NY, USA.
Stephen B JohnsonDepartment of Population Health, New York University Langone Health, New York, NY, USA.
Michelle DemetresSamuel J. Wood Medical Library, Weill Cornell Medical College, New York, NY, USA.
Diana DelgadoSamuel J. Wood Medical Library, Weill Cornell Medical College, New York, NY, USA.
Brian J Zikmund-FisherDepartment of Health Behavior and Health Education, University of Michigan, Ann Arbor, MI, USA.ORCID https://orcid.org/0000-0002-1637-4176

Funding

Making Numbers Meaningful: Promoting Evidence-based Communication of Numbers in HealthR01LM012964 · NLM · WEILL MEDICAL COLL OF CORNELL UNIV · PI ANCKER, JESSICA S. · 2018 to 2021
$1.4M
NLM NIH HHS R01 LM012964
6 · The paper itself

Abstract

Highlights: Formatting a probability as 1 in X, using a foreground-only icon array, adding anecdotes to numbers, and gain-loss framing all affect probability perceptions and feelings.The evidence on communicating numbers to influence perceptions is far stronger than the evidence on using it to change health behavior or behavioral intention.Only weak evidence is available on patient preferences for verbal, graphical, and numerical probability formats.

Indexed as

data graphicshealth communicationhealth literacynumeracyrisk communicationrisk perception

Identifiers

PMID39995775
PMCPMC11848894

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.