Evidence map›Paper›PMID 30615934›Full record

SynthesisNeuroscience and biobehavioral reviews2019

Variation in fourteen brain structure volumes in schizophrenia: A comprehensive meta-analysis of 246 studies.

Susan S Kuo, Michael F Pogue-Geile

Abstract readMeta-AnalysisReview
In one paragraph

Synthesis in Neuroscience and biobehavioral reviews, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed
7.5field-weighted citation impact, top 2% 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

47 citing papers in PubMed, 152 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Schizophrenia, variability, and the Anna Karenina principle.Psychiatry research. Neuroimaging · 2026
    Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Neural and somatic mechanisms driving clinical improvements in post-acute schizophrenia spectrum disorders.European psychiatry : the journal of the Association of European Psychiatrists · 2025
    Article
  12. Article
  13. Article
  14. Article
  15. Estrogen and psychosis - a review and future directions.Archives of women's mental health · 2024
    Review
  16. Review
  17. Review
  18. Review
  19. Review
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Susan S KuoDepartment of Psychology, University of Pittsburgh, 4209 Sennott Square, 210 South Bouquet St., Pittsburgh PA 15260, USA. Electronic address: susan.kuo@pitt.edu.
Michael F Pogue-GeileDepartment of Psychology, University of Pittsburgh, 4209 Sennott Square, 210 South Bouquet St., Pittsburgh PA 15260, USA; Department of Psychology and Department of Psychiatry, University of Pittsburgh, 4207 Sennott Square, 210 South Bouquet St., Pittsburgh PA 15260, USA. Electronic address: mfpg@pitt.edu.
University of Pittsburgh · US

Funding

A Neurobehavioral Family Study of SchizophreniaR01MH063480 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI NIMGAONKAR, VISHWAJIT LAXMIKANT · 2001 to 2018
$6.1M
The Neurobiology of Affective Dysfunction in SchizophreniaR01MH060722 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI GUR, RUBEN C. · 2001 to 2010
$4.8M
Psychiatric research infrastructure for intervention and implementation in India – TEAMSD43TW009114 · FIC · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Smita N Deshpande, Mary Elizabeth Hawk · 2014 to 2026
$3.2M
CIHRFIC NIH HHS D43 TW009114NIMH NIH HHS R01 MH060722NIMH NIH HHS R01 MH063480
6 · The paper itself

Abstract

Despite hundreds of structural MRI studies documenting smaller brain volumes on average in schizophrenia compared to controls, little attention has been paid to group differences in the variability of brain volumes. Examination of variability may help interpret mean group differences in brain volumes and aid in better understanding the heterogeneity of schizophrenia. Variability in 246 MRI studies was meta-analyzed for 13 structures that have shown medium to large mean effect sizes (Cohen's d≥0.4): intracranial volume, total brain volume, lateral ventricles, third ventricle, total gray matter, frontal gray matter, prefrontal gray matter, temporal gray matter, superior temporal gyrus gray matter, planum temporale, hippocampus, fusiform gyrus, insula; and a control structure, caudate nucleus. No significant differences in variability in cortical/subcortical volumes were detected in schizophrenia relative to controls. In contrast, increased variability was found in schizophrenia compared to controls for intracranial and especially lateral and third ventricle volumes. These findings highlight the need for more attention to ventricles and detailed analyses of brain volume distributions to better elucidate the pathophysiology of schizophrenia.

Indexed as

AnimalsBrain StemCerebral CortexGray MatterHippocampusHumansMagnetic Resonance ImagingSchizophreniaBrain volumeClinical neuroscienceCortical volumeDistributionHeterogeneityIntracranial volumeMeta-analysisMRINeuroimagingPathophysiologyPsychosisQuantitative reviewSchizophreniaSubcortical volumeVariabilityVentricles

Identifiers

PMID30615934
PMCPMC6401304
OpenAlexW2907533374

What OpenQuestion holds

Textmetadata
LicenceTDM
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.