Evidence map›Paper›PMID 39371354›Full record

ArticleAutism in adulthood2024

Autistic People's Experience of Empathy and the Autistic Empathy Deficit Narrative.

Lesley Kimber, Diarmuid Verrier, Stephen Connolly

Abstract read
In one paragraph

Article in Autism in adulthood, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
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  10. A sensorimotor basis for facial expressivity differences in autism.Imaging neuroscience (Cambridge, Mass.) · 2025
    Article
  11. 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

3 authors.

Lesley KimberDepartment of Psychology, Sociology, and Politics, Childhood, and Inclusion, Sheffield Hallam University, Sheffield, United Kingdom.
Diarmuid VerrierDepartment of Psychology, Sociology, and Politics, Childhood, and Inclusion, Sheffield Hallam University, Sheffield, United Kingdom.ORCID https://orcid.org/0000-0002-4148-3948
Stephen ConnollyDepartment of Education, Childhood, and Inclusion, Sheffield Hallam University, Sheffield, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: There is a dominant discourse, both in clinical texts and throughout the academic literature, that autistic people lack empathy; however, over the past decade, both clinicians and academics have increasingly rejected deficit-based descriptions of autism in favor of more nuanced explanations of the experience of autistic individuals in a social world. Methods: This study asked 76 autistic individuals about their own experience of empathy and the oft-cited empathy deficit. Data were thematically analyzed and revealed a wide array of empathic self-concepts among respondents. Results: Notably, there was a high proportion of hyper-empathic experiences. Many respondents reported their empathic responses to be overwhelming, or even distressing. These different experiences of empathy contrast with societal expectations of empathy, which often result in additional labor for autistic people as they navigate the non-autistic centered world. Conclusion: Although the academic literature is, in some areas, slowly moving away from a deficit perspective, more broadly there is still a negative impact from misconceptions around autistic people and empathy. Further work needs to be done to not only explore this misconception at a societal (rather than academic) level, but also better bridge the gap around the changing ideas of empathy and real-world understanding of autistic empathy.

Indexed as

empathyqualitativestereotype

Identifiers

PMID39371354
PMCPMC11447414

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.