Evidence map›Paper›PMID 42565988›Full record

SynthesisEuropean archives of psychiatry and clinical neuroscience2026

Brain stimulation and VEGF concentrations: meta-analysis, meta-regression, and hierarchical cluster analysis of 200 correlations.

Amene Saghazadeh, Riccardo Gironi, Mohamed Abdel Fattah Khalil, Matteo Costanzo, Murat Ilhan Atagun, Linda van Diermen, Didier L Schrijvers, Gianna Carla Riccitelli

Abstract readMeta-AnalysisReview
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In one paragraph

Synthesis in European archives of psychiatry and clinical neuroscience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

8 authors.

Amene SaghazadehSchool of Medicine, Tehran University of Medical Sciences, Tehran, Iran. amene.saghazadeh@gmail.com.ORCID https://orcid.org/0000-0002-0945-8443
Riccardo GironiNeurocenter of Southern Switzerland, EOC, Lugano, Switzerland.
Mohamed Abdel Fattah KhalilKasr Al-Ainy Faculty of Medicine, Cairo University, Giza, Egypt.
Matteo CostanzoDepartment of Human Neurosciences, Sapienza University of Rome, Viale dell'Universitá 30, 00185, Rome, Italy.
Murat Ilhan AtagunFaculty of Medicine, Çanakkale Onsekiz Mart University, Çanakkale, Turkey.
Linda van DiermenCollaborative Antwerp Psychiatric Research Institute (CAPRI), Faculty of Medicine and Health Sciences, Antwerp University, Campus Drie Eiken, Wilrijk, Belgium.
Didier L SchrijversCollaborative Antwerp Psychiatric Research Institute (CAPRI), Faculty of Medicine and Health Sciences, Antwerp University, Campus Drie Eiken, Wilrijk, Belgium.
Gianna Carla RiccitelliNeurocenter of Southern Switzerland, EOC, Lugano, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStudies on VEGF responses to brain stimulation (BS) are inconsistent.

methodsWe systematically reviewed and meta-analyzed these data.

resultsOverall meta-analyses for the three main models (time, group, time×group) showed no significant effects (p>0.05). Given the high heterogeneity across interventions and populations, we conducted extensive exploratory subgroup analyses to generate hypotheses. These revealed several within-subgroup effects, but they were based on limited data constraining their interpretability, with several single studies and others on 2-4 observations. For time-difference analyses, higher post-BS VEGF emerged in older rTMS patients (k=4, g=2.14), responders (k=3, g=0.58), and remitters (k=2, g=0.56), but not in other subgroups. Group-difference analyses showed higher post-BS VEGF in tDCS (k=1, g=1.01) and DBS (k=1, g=6.03) groups vs. controls; at baseline, non-responders had lower VEGF than controls (k=3, g=-0.31). Time×group analyses favored rTMS over non-rTMS (k=3, g=1.95), responders over non-responders (k=4, g=0.54), and remitters over non-remitters (k=3, g=0.72). Meta-regression (k=19) identified age as a major variability source (β=1.12, R²=88.9%). HCA ranked the top eight VEGF correlates: PANSS, MADRS, HDRS/HAM-D, HAMA, treatment outcome, age, SHAPS, and BPRS-5.

conclusionsThese significant subgroup findings derive from post-hoc exploratory analyses with small sample sizes and should not be interpreted as confirmatory. We provide an early meta-analytical framework, but the small number of observations per BS technique, psychiatric condition, and timepoint precludes definitive conclusions. Future updates with larger, more homogenous datasets are essential to rigorously test whether VEGF can serve as a reliable biomarker of differential BS responses. These exploratory results are hypothesis-generating and require confirmation in future studies.

Indexed as

Deep Brain StimulationTranscranial Direct Current StimulationTranscranial Magnetic StimulationVascular Endothelial Growth Factor ACluster AnalysisClustering AlgorithmsHumansTreatment Effect HeterogeneityVascular Endothelial Growth Factor ABiomarkerBrain modelingOutcome predictionPrecision brain stimulationResponse variabilityVascular age

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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.