Evidence map›Paper›PMID 42694595›Full record

SynthesisAlpha psychiatry2026

Polysomnographic Parameters in Schizoaffective Disorder: A Systematic Review and Meta-Analysis.

Dario Morra, Gianluca Ficca, Giuseppe Barbato

Abstract readSystematic Review
In one paragraph

Synthesis in Alpha psychiatry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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.

Dario MorraDepartment of Psychology, Università degli Studi della Campania "Luigi Vanvitelli", 81100 Caserta, Italy.ORCID https://orcid.org/0009-0009-0997-9124
Gianluca FiccaDepartment of Psychology, Università degli Studi della Campania "Luigi Vanvitelli", 81100 Caserta, Italy.ORCID https://orcid.org/0000-0001-9519-4351
Giuseppe BarbatoDepartment of Psychology, Università degli Studi della Campania "Luigi Vanvitelli", 81100 Caserta, Italy.ORCID https://orcid.org/0000-0001-6523-5327

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Schizoaffective disorder (SZA) is a severe psychiatric condition characterized by overlapping affective and psychotic features; however, its sleep architecture remains poorly characterized. This systematic review and meta-analysis compared polysomnographic findings in drug-free patients with SZA with those of healthy controls (HC), patients with schizophrenia (SCZ), and patients with major depressive disorder (MDD). Methods: An extensive database search identified 40 studies. Nine case-control studies including 79 patients with SZA, 88 patients with SCZ, 79 HC, and 131 patients with MDD were included in the meta-analyses. Total sleep time, sleep efficiency, sleep latency, wake after sleep onset, and rapid-eye-movement (REM) and non-REM (NREM) sleep variables were analyzed. The primary outcome measure was the standardized mean difference (SMD). Data were analyzed using a random-effects model. Publication bias was assessed using Egger's regression test and funnel plot asymmetry. Results: Compared with HC, patients with SZA showed reduced total sleep time, increased sleep latency and wakefulness after sleep onset, reduced REM sleep duration, shortened REM latency, and reduced stage 4 sleep duration and percentage. Patients with SZA differed from those with MDD only in exhibiting increased sleep latency, whereas no significant differences were observed between patients with SZA and those with SCZ. Conclusions: Polysomnographic abnormalities in SZA demonstrate a general pattern of sleep disruption compared with HC, without clear differentiation from SCZ or MDD. Overall, current evidence does not support sleep architecture as a reliable biomarker for distinguishing SZA from related psychotic or affective disorders. These findings should be considered exploratory, given the small sample sizes, limited number of available studies, and substantial heterogeneity across studies. Further research is needed to determine whether specific sleep measures may better distinguish SZA from other psychiatric conditions.

Indexed as

electroencephalographymeta-analysisNREMpolysomnographyREMschizoaffective disordersleep

Identifiers

PMID42694595
PMCPMC13540051

What OpenQuestion holds

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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.