Evidence map›Paper›PMID 39526009›Full record

ReviewConsortium psychiatricum2024

Biological Methods for Diagnosing Depressive Symptoms in Patients with Schizophrenia: A Narrative Review.

Renata Sultanova, Vadim Gashkarimov, Ilya Efremov, Azat Asadullin

Abstract readReview
In one paragraph

Review in Consortium psychiatricum, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDepressive symptoms in patients with schizophrenia lead to more frequent exacerbations of the underlying disease, worsen the prognosis, and increase the risk of suicide. Clinical practitioners continue to face challenges in diagnosing this disorder.

aimThis study aims to analyze published material on biological markers of depressive symptoms in patients with schizophrenia.

methodsThe search of literature was conducted using the following electronic search engines (the total number of relevant papers found is also specified): ACCESSSS (

resultsBased on the available scaterred data, it appears that plasma biomarkers (e.g. C-reactive protein, metabolic parameters, hormones, enzymes, neurotrophic factors) are limited in specificity when it comes to diagnosing depressive symptoms in schizophrenia. Our analysis of the neuroimaging findings showed that depressive manifestations are associated with a decrease in the volume of the gray matter in the parietal, frontal, and temporal lobes (particularly in Broca's and Wernicke's areas) and in specific regions of the prefrontal cortex (including the medial right superior frontal, medial orbitofrontal, and superior and middle frontal gyri). It has been suggested that the

conclusionUnderstanding and identifying depressive symptoms in schizophrenia will improve the quality of care for patients with this disorder.

Indexed as

depressive symptomsneurobiologyschizophrenia

Identifiers

PMID39526009
PMCPMC11542912

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.