Evidence map›Paper›PMID 27190279›Full record

ArticleSchizophrenia bulletin2017

Differential Time Course of Microstructural White Matter in Patients With Psychotic Disorder and Individuals at Risk: A 3-Year Follow-up Study.

Patrick Domen, Sanne Peeters, Stijn Michielse, Ed Gronenschild, Wolfgang Viechtbauer, Alard Roebroeck, Jim van Os, Machteld Marcelis, for Genetic Risk and Outcome of Psychosis (G.R.O.U.P.)

Open access · bronzeAbstract readMulticenter Study
In one paragraph

Article in Schizophrenia bulletin, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 11% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Negative symptoms are associated with modularity and thalamic connectivity in schizophrenia.European archives of psychiatry and clinical neuroscience · 2023
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Cerebral white matter changes in deficit and non-deficit subtypes of schizophrenia.Journal of neural transmission (Vienna, Austria : 1996) · 2020
    Article
  12. Review
  13. Article
  14. Article
  15. Article
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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

9 authors at 3 institutions in 2 countries.

Patrick DomenDepartment of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University, Maastricht, The Netherlands; p.domen@maastrichtuniversity.nl.
Sanne PeetersDepartment of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University, Maastricht, The Netherlands.
Stijn MichielseDepartment of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University, Maastricht, The Netherlands.
Ed GronenschildDepartment of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University, Maastricht, The Netherlands.
Wolfgang ViechtbauerDepartment of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University, Maastricht, The Netherlands.
Alard RoebroeckDepartment of Cognitive Neuroscience, Maastricht University, Maastricht, The Netherlands.
Jim van OsDepartment of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University, Maastricht, The Netherlands.
Machteld MarcelisDepartment of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University, Maastricht, The Netherlands.
for Genetic Risk and Outcome of Psychosis (G.R.O.U.P.)
Maastricht University · NLKing's College London · GBOpen University of the Netherlands · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough widespread reduced white matter (WM) integrity is a consistent finding in cross-sectional diffusion tensor imaging (DTI) studies of schizophrenia, little is known about the course of these alterations. This study examined to what degree microstructural WM alterations display differential trajectories over time as a function of level of psychosis liability.

methodsTwo DTI scans with a 3-year time interval were acquired from 159 participants (55 patients with a psychotic disorder, 55 nonpsychotic siblings and 49 healthy controls) and processed with tract-based spatial statistics. The mean fractional anisotropy (FA) change over time was calculated. Main effects of group, as well as group × region interactions in the model of FA change were examined with multilevel (mixed-effects) models.

resultsSiblings revealed a significant mean FA decrease over time compared to controls (B = -0.004, P = .04), resulting in a significant sibling-control difference at follow-up (B = -0.007, P = .03). Patients did not show a significant change over time, but their mean FA was lower than controls both at baseline and at follow-up. A significant group × region interaction (χ

conclusionWhole brain mean FA remained stable over a 3-year period in patients with psychotic disorder and declined over time in nonaffected siblings, so that at follow-up both groups had lower FA with respect to controls. The results suggest that liability for psychosis may involve a process of WM alterations.

Indexed as

Disease ProgressionSiblingsAdultDiffusion Tensor ImagingDisease SusceptibilityFemaleFollow-Up StudiesHumansMalePsychotic DisordersTime FactorsWhite MatterYoung Adultdiffusion tensor imagingdisease progressionpsychotic disordersiblings

Identifiers

PMID27190279
PMCPMC5216846
OpenAlexW2404217068

What OpenQuestion holds

Textmetadata
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.