Evidence map›Paper›PMID 39856239›Full record

ArticleScientific reports2025

Moderate stability of risk and ambiguity attitudes across quantitative and qualitative decisions.

Ohad Dan, Chelsea Y Xu, Ruonan Jia, Emily K Wertheimer, Megha Chawla, Galit Fuhrmann Alpert, Terri Fried, Ifat Levy

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Ohad Dan *Department of Comparative Medicine, Yale School of Medicine, New Haven, CT, USA. ohad.dan@yale.edu.
Chelsea Y Xu *Department of Comparative Medicine, Yale School of Medicine, New Haven, CT, USA.
Ruonan JiaDepartment of Comparative Medicine, Yale School of Medicine, New Haven, CT, USA.
Emily K WertheimerDepartment of Comparative Medicine, Yale School of Medicine, New Haven, CT, USA.
Megha ChawlaDepartment of Comparative Medicine, Yale School of Medicine, New Haven, CT, USA.
Galit Fuhrmann AlpertDepartment of Comparative Medicine, Yale School of Medicine, New Haven, CT, USA.
Terri FriedDepartment of Internal Medicine, Yale School of Medicine, New Haven, CT, USA.
Ifat LevyDepartment of Comparative Medicine, Yale School of Medicine, New Haven, CT, USA.

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Decision making and learning under uncertainty in agingR56AG058769 · NIA · YALE UNIVERSITY · PI LEVY, IFAT · 2018 to 2018
$757k
Medical decision-making under uncertainty in older adults - behavior and fMRIR21AG049293 · NIA · YALE UNIVERSITY · PI LEVY, IFAT · 2015 to 2016
$458k
NCATS NIH HHS UL1 TR001863NIA NIH HHS R21 AG049293NIA NIH HHS R56 AG058769NIH HHS R21AG049293NSF BCS1829439Yale Claude D. Pepper Older Americans Independence Center Yale Claude D. Pepper Older Americans Independence Cente
6 · The paper itself

Abstract

Uncertainty lies at the heart of everyday choices, affecting both decisions about precise quantities and those with less tangible, more qualitative, outcomes. Previous literature on decisions under uncertainty focused on alternatives with quantifiable outcomes, for example monetary lotteries. In such scenarios, decision-makers make decisions based on success chance, outcome magnitude, and individual preferences for uncertainty. It is not clear, however, how individuals construct subjective values when outcomes are not directly quantifiable. To explore how decision-makers choose between non-quantifiable uncertain outcomes, we focus here on medical decisions with qualitative outcomes. Specifically, we ask whether decision-makers exhibit similar attitudes towards uncertainty, focusing on ambiguity, across domains with quantitative and qualitative outcomes. We designed an online decision-making task where participants made binary choices between alternatives offering either guaranteed low outcomes or potentially better outcomes that were associated with some uncertainty. Outcomes were either hypothetical monetary gains of varying magnitudes or levels of improvement in a hypothetical medical condition. We recruited 429 online participants and repeated the survey in two waves, which allowed us to compare the between-domain attitude consistency with within-domain consistency over time. We found that uncertainty attitudes were moderately correlated across domains and time. We discuss the implications and applicability of our paradigm to broader contexts with non-quantifiable outcomes.

Indexed as

AttitudeDecision MakingAdultChoice BehaviorFemaleHumansMaleMiddle AgedSurveys and QuestionnairesUncertaintyYoung AdultDecision-makingMedical decisionsQualitative outcomesRisk and ambiguity

Identifiers

PMID39856239
PMCPMC11760528

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.