Evidence map›Paper›PMID 27752054›Full record

ArticleScientific reports2016

Unsupervised data-driven stratification of mentalizing heterogeneity in autism.

Michael V Lombardo, Meng-Chuan Lai, Bonnie Auyeung, Rosemary J Holt, Carrie Allison, Paula Smith, Bhismadev Chakrabarti, Amber N V Ruigrok, John Suckling, Edward T Bullmore and 6 more

Abstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing 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

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

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Autism screening: an unsupervised machine learning approach.Health information science and systems · 2022
    Article
  10. Article
  11. Reexamining empathy in autism: Empathic disequilibrium as a novel predictor of autism diagnosis and autistic traits.Autism research : official journal of the International Society for Autism Research · 2022
    Article
  12. Understanding the nature of face processing in early autism: A prospective study.Journal of psychopathology and clinical science · 2022
    Article
  13. Article
  14. Review
  15. Do animated triangles reveal a marked difficulty among autistic people with reading minds?Autism : the international journal of research and practice · 2021
    Review
  16. Article
  17. Article
  18. "Reading the Mind in the Eyes" in Autistic Adults is Modulated by Valence and Difficulty: An InFoR Study.Autism research : official journal of the International Society for Autism Research · 2021
    Article
  19. Article
  20. 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

16 authors.

Michael V LombardoCenter for Applied Neuroscience, Department of Psychology, University of Cyprus, Nicosia, Cyprus.
Meng-Chuan LaiAutism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, UK.
Bonnie AuyeungAutism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, UK.
Rosemary J HoltAutism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, UK.
Carrie AllisonAutism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, UK.
Paula SmithAutism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, UK.
Bhismadev ChakrabartiAutism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, UK.
Amber N V RuigrokAutism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, UK.
John SucklingBrain Mapping Unit, Department of Psychiatry, University of Cambridge, Cambridge, UK.
Edward T BullmoreBrain Mapping Unit, Department of Psychiatry, University of Cambridge, Cambridge, UK.
MRC AIMS Consortium
Christine EckerSackler Institute for Translational Neurodevelopment, Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
Michael C CraigSackler Institute for Translational Neurodevelopment, Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
Declan G M MurphySackler Institute for Translational Neurodevelopment, Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
Francesca HappéMRC Social, Genetic, and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology &Neuroscience, King's College London, London, UK.
Simon Baron-CohenAutism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, UK.

Funding

Department of Health RP-PG-0606-1045Medical Research Council G0600977Medical Research Council G1000183Medical Research Council G9817803Medical Research Council MR/N026063/1Wellcome Trust 093875
6 · The paper itself

Abstract

Individuals affected by autism spectrum conditions (ASC) are considerably heterogeneous. Novel approaches are needed to parse this heterogeneity to enhance precision in clinical and translational research. Applying a clustering approach taken from genomics and systems biology on two large independent cognitive datasets of adults with and without ASC (n = 694; n = 249), we find replicable evidence for 5 discrete ASC subgroups that are highly differentiated in item-level performance on an explicit mentalizing task tapping ability to read complex emotion and mental states from the eye region of the face (Reading the Mind in the Eyes Test; RMET). Three subgroups comprising 45-62% of ASC adults show evidence for large impairments (Cohen's d = -1.03 to -11.21), while other subgroups are effectively unimpaired. These findings delineate robust natural subdivisions within the ASC population that may allow for more individualized inferences and accelerate research towards precision medicine goals.

Indexed as

AdolescentAdultAutism Spectrum DisorderCognitionEmotionsFemaleGenomicsHumansMaleMiddle AgedReadingSystems BiologyYoung Adult

Identifiers

PMID27752054
PMCPMC5067562

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.