Evidence map›Paper›PMID 31925327›Full record

SynthesisMolecular psychiatry2020

Magnitude and heterogeneity of brain structural abnormalities in 22q11.2 deletion syndrome: a meta-analysis.

Maria Rogdaki, Maria Gudbrandsen, Robert A McCutcheon, Charlotte E Blackmore, Stefan Brugger, Christine Ecker, Michael C Craig, Eileen Daly, Declan G M Murphy, Oliver Howes

Open access · hybridAbstract readMeta-Analysis
In one paragraph

Synthesis in Molecular psychiatry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 1 pooled it
3.4field-weighted citation impact, top 6% of its field
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

35 citing papers in PubMed, 1 synthesis or guideline pooled it, 65 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Mapping Cerebellar Morphology in 15q11.2 CNV Carriers Using Normative Modeling.medRxiv : the preprint server for health sciences · 2025
    Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. A Comprehensive Analysis of Cerebellar Volumes in the 22q11.2 Deletion Syndrome.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2023
    Article
  19. Neuroimaging in schizophrenia: an overview of findings and their implications for synaptic changes.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2023
    Review
  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

10 authors at 3 institutions in 2 countries.

Maria Rogdaki *Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, SE5 8AF, UK. maria.rogdaki@kcl.ac.uk.ORCID http://orcid.org/0000-0003-2685-1789
Maria Gudbrandsen *Department of Forensic and Neurodevelopmental Sciences, and the Sackler Institute for Translational Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College, London, SE5 8AF, UK.ORCID http://orcid.org/0000-0002-0464-2065
Robert A McCutcheonDepartment of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, SE5 8AF, UK.ORCID http://orcid.org/0000-0003-1102-2566
Charlotte E BlackmoreDepartment of Forensic and Neurodevelopmental Sciences, and the Sackler Institute for Translational Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College, London, SE5 8AF, UK.ORCID http://orcid.org/0000-0001-5065-625X
Stefan BruggerPsychiatric Imaging Group, MRC London Institute of Medical Sciences, Imperial College, London, W12 0NN, UK.
Christine EckerDepartment of Forensic and Neurodevelopmental Sciences, and the Sackler Institute for Translational Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College, London, SE5 8AF, UK.
Michael C CraigDepartment of Forensic and Neurodevelopmental Sciences, and the Sackler Institute for Translational Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College, London, SE5 8AF, UK.
Eileen DalyDepartment of Forensic and Neurodevelopmental Sciences, and the Sackler Institute for Translational Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College, London, SE5 8AF, UK.
Declan G M Murphy *Department of Forensic and Neurodevelopmental Sciences, and the Sackler Institute for Translational Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College, London, SE5 8AF, UK.ORCID http://orcid.org/0000-0002-6664-7451
Oliver Howes *Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, SE5 8AF, UK.
King's College London · GBGoethe University Frankfurt · DEUCL Biomedical Research Centre · GB

Funding

Department of HealthMedical Research Council G0700995Medical Research Council MC-A656-5QD30Medical Research Council MC_U120097115Medical Research Council MR/L022176/1Medical Research Council MR/N026063/1Medical Research Council MR/N027078/1Wellcome TrustWellcome Trust 094849/Z/10/ZWellcome Trust 200102/Z/15/Z
6 · The paper itself

Abstract

The 22q11.2 deletion syndrome (22q11.2DS) is a neurodevelopmental disorder associated with a number of volumetric brain abnormalities. The syndrome is also associated with an increased risk for neuropsychiatric disorders including schizophrenia and autism spectrum disorder. An earlier meta-analysis showed reduced grey and white matter volumes in individuals with 22q11.2DS. Since this analysis was conducted, the number of studies has increased markedly, permitting more precise estimates of effects and more regions to be examined. Although 22q11.2DS is clinically heterogeneous, it is not known to what extent this heterogeneity is mirrored in neuroanatomy. The aim of this study was thus to investigate differences in mean brain volume and structural variability within regions, between 22q11.2DS and typically developing controls. We examined studies that reported measures of brain volume using MRI in PubMed, Web of Science, Scopus and PsycINFO from inception to 1 May 2019. Data were extracted from studies in order to calculate effect sizes representing case-control difference in mean volume, and in the variability of volume (as measured using the log variability ratio (lnVR) and coefficient of variation ratio (CVR)). We found significant overall decreases in mean volume in 22q11.2DS compared with control for: total brain (g = -0.96; p < 0.001); total grey matter (g = -0.81, p < 0.001); and total white matter (g = -0.81; p < 0.001). There was also a significant overall reduction of mean volume in 22q11.2DS subjects compared with controls in frontal lobe (g = -0.47; p < 0.001), temporal lobe (g = -0.84; p < 0.001), parietal lobe (g = -0.73; p = 0.053), cerebellum (g = -1.25; p < 0.001) and hippocampus (g = -0.90; p < 0.001). Significantly increased variability in 22q11.2DS individuals compared with controls was found only for the hippocampus (VR, 1.14; p = 0.036; CVR, 1.30; p < 0.001), and lateral ventricles (VR, 1.56; p = 0.004). The results support the notion that structural abnormalities in 22q11.2DS and schizophrenia are convergent, and also to some degree with findings in autism spectrum disorder. Finally, the increased variability seen in the hippocampus in 22q11.2DS may underlie some of the heterogeneity observed in the neuropsychiatric phenotype.

Indexed as

AdolescentAutism Spectrum DisorderBrainDiGeorge SyndromeFemaleHumansMaleSchizophreniaWhite Matter

Identifiers

PMID31925327
PMCPMC7387301
OpenAlexW2999146786

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.