Evidence map›Paper›PMID 40768009›Full record

ArticleMemory & cognition2026

The survival processing advantage with the use of binary decisions.

Patrick Bonin, Gaëtan Thiebaut, Aurélia Bugaiska, Alain Méot

Abstract read
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In one paragraph

Article in Memory & cognition, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Patrick BoninUniversité Bourgogne Europe, CNRS, LEAD UMR5022, Pôle AAFE-Esplanade Erasme, 21065, Dijon Cedex, France. Patrick.Bonin@u-bourgogne.fr.
Gaëtan ThiebautUniversité Bourgogne Europe, CNRS, LEAD UMR5022, Pôle AAFE-Esplanade Erasme, 21065, Dijon Cedex, France.
Aurélia BugaiskaUniversité Bourgogne Europe, CNRS, LEAD UMR5022, Pôle AAFE-Esplanade Erasme, 21065, Dijon Cedex, France.
Alain MéotUniversité Clermont-Auvergne, LAPSCO-CNRS UMR6024, Clermont-Ferrand, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

When information is processed in the context of survival, it is particularly well remembered: the survival processing advantage. This effect has been obtained virtually by using word-rating tasks in which participants judge the relevance of words to a survival scenario using Likert scales. Here, we wanted to examine whether the survival processing advantage could be obtained using binary decisions. Participants had to quickly decide whether words were relevant in a survival scenario by giving either binary ("yes" or "no") or graded responses (using 5-point scales). These conditions were compared with pleasantness ratings, which were also given quickly as either binary or graded responses. In Study 1, the survival effect was replicated in the form of correct recall rates for graded ratings given without any time constraint. In Study 2, we found that the use of binary (vs. graded) responses did not alter the survival effect in correct recall rates. Clustering analyses provided little evidence of greater categorical clustering in the survival than in the pleasantness condition and revealed no reliable difference between the binary and graded decisions. Overall, there were more intrusions in the survival condition than in the pleasantness condition in Study 1, while only a trend was observed in Study 2. However, these were not affected by the type of response. Our studies extend the generality of the survival effect in memory and provide relevant information for discussing the potential involvement of elaboration as a proximate mechanism of this effect.

Indexed as

Decision MakingMental RecallSurvivalAdultFemaleHumansMaleYoung AdultAdaptive memoryBinary/graded decisionsSurvival processing

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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.