Efficacy and effectiveness of antipsychotics in schizophrenia: network meta-analyses combining evidence from randomised controlled trials and real-world data

Exploring the Intersection of Schizophrenia, Machine Learning, and Genomics: Scoping Review

BACKGROUND

An increasing body of literature highlights the integration of machine learning with genomic data in psychiatry, particularly for complex mental health disorders such as schizophrenia. These advanced techniques offer promising potential for uncovering various facets of these disorders. A comprehensive review of the current applications of machine learning in conjunction with genomic data within this context can significantly enhance our understanding of the current state of research and its future directions.

OBJECTIVE

This study aims to conduct a systematic scoping review of the use of machine learning algorithms with genomic data in the field of schizophrenia.

METHODS

To conduct a systematic scoping review, a search was performed in the electronic databases MEDLINE, Web of Science, PsycNet (PsycINFO), and Google Scholar from 2013 to 2024. Studies at the intersection of schizophrenia, genomic data, and machine learning were evaluated.

RESULTS

The literature search identified 2437 eligible articles after removing duplicates. Following abstract screening, 143 full-text articles were assessed, and 121 were subsequently excluded. Therefore, 21 studies were thoroughly assessed. Various machine learning algorithms were used in the identified studies, with support vector machines being the most common. The studies notably used genomic data to predict schizophrenia, identify schizophrenia features, discover drugs, classify schizophrenia amongst other mental health disorders, and predict the quality of life of patients.

CONCLUSIONS

Several high-quality studies were identified. Yet, the application of machine learning with genomic data in the context of schizophrenia remains limited. Future research is essential to further evaluate the portability of these models and to explore their potential clinical applications.

The importance of incorporation of real-world evidence into the guidelines on the pharmacological treatment of schizophrenia

The quantity and quality of real-world data and real-world evidence in schizophrenia research are at a high level. However, these results are not included in the grading systems used to develop treatment guidelines for schizophrenia. A meta-analysis and a network meta-analysis have independently provided evidence that the results of randomized clinical trials in schizophrenia adequately translate to real-world settings. The authors propose the incorporation of a synthesis of evidence derived from analyses of randomized controlled trials and real-world data as a novel and highest level of evidence in grading instruments used to develop treatment guidelines for schizophrenia.

2001-2021 Comparative Persistence of Oral Antipsychotics in Patients Initiating Treatment: Superiority of Clozapine in Time-to-Treatment Discontinuation

BACKGROUND

Continuous antipsychotic (AP) therapy is crucial for managing psychotic disorders, and its early interruption reflects the drug's failure. Real-world epidemiological research is essential for confirming experimental data and generating new research hypotheses.

METHODS

The persistence of oral APs in a large population sample from 2000 to 2021 was analyzed by comparing AP prescriptions over this period across four Italian provinces, using dispensing data linked via a record-linkage procedure among regional healthcare utilization databases. We calculated personalized daily dosages and assessed time-to-treatment discontinuation over a 3-month period for patients initiating AP treatment. Treatment persistence was evaluated using Kaplan-Meier curves and Cox regression, with adjustments for age and sex.

RESULTS

Second-generation antipsychotics (SGAs) were favored over first-generation antipsychotics (FGAs), with olanzapine as the most prescribed. Within the study time frame, 42,434 individuals were prescribed a new continuous AP regimen. The analysis revealed 24 significant differences within 28 comparisons. As a class, SGAs demonstrated better treatment persistence than FGAs (HR: 0.76; 95%CI: 0.73, 0.79). Clozapine stood out for its superior persistence, surpassing all other SGAs, notably olanzapine (HR: 0.85; 95%CI: 0.79-0.91) and risperidone (HR: 0.80; 95%CI: 0.74-0.87). Olanzapine and aripiprazole showed better results than both risperidone and quetiapine. Quetiapine showed inferior 3-month persistence in all pairwise comparisons.

CONCLUSION

The study results provide insight into the performance dynamics among SGAs: clozapine, despite being one of the less frequently dispensed APs in our sample, emerged as a significant prescription choice. The significance of pharmacoepidemiological studies in complementing experimental findings is also underscored.

'Whole-Body' Perspectives of Schizophrenia and Related Psychotic Illness: miRNA-143 as an Exemplary Molecule Implicated across Multi-System Dysfunctions

A wide array of biological abnormalities in psychotic illness appear to reflect non-cerebral involvement. This review first outlines the evidence for such a whole-body concept of schizophrenia pathobiology, focusing particularly on cardiovascular disease, metabolic syndrome and diabetes, immunity and inflammation, cancer, and the gut-brain axis. It then considers the roles of miRNAs in general and of miRNA-143 in particular as they relate to the epidemiology, pathobiology, and treatment of schizophrenia. This is followed by notable evidence that miRNA-143 is also implicated in each of these domains of cardiovascular disease, metabolic syndrome and diabetes, immunity and inflammation, cancer, and the gut-brain axis. Thus, miRNA-143 is an exemplar of what may be a class of molecules that play a role across the multiple domains of bodily dysfunction that appear to characterize a whole-body perspective of illness in schizophrenia. Importantly, the existence of such an exemplary molecule across these multiple domains implies a coordinated rather than stochastic basis. One candidate process would be a pleiotropic effect of genetic risk for schizophrenia across the whole body.

The development of a family-led novel intervention for delirium prevention and management in the adult intensive care unit: A co-design qualitative study

AIM

The aim of this study was to codesign a Family Members' Voice Reorientation Intervention (FAMVR) for delirium prevention and management in critically ill adult patients through collaborative process with previous patients, families, and clinical staff.

BACKGROUND

Delirium is a common consequence of intensive care admission, and there is limited evidence to support family-led interventions to prevent or minimise delirium in intensive care. People with lived experience of intensive care are seldom involved in codesigning delirium prevention and management interventions despite the identified benefits of their involvement in delirium care.

DESIGN

Codesign qualitative study.

METHODS

The process of co-designing was undertaken using the four stages of the Double Diamond model. Participants included people with lived experience of the intensive care unit, family members, and intensive care clinicians. The codesign approach was utilised, and data were gathered from a series of focus groups and individual interviews. Data were digitally recorded, transcribed verbatim, and analysed using thematic analysis.

FINDINGS

Of the 26 people who indicated their interest in participating, 12 (46%) completed the first and second stages, and nine (35%) completed the third and fourth stages of the Family Members' Voice Reorientation Intervention development. All participant groups were represented in the fourth stage: patients (n = 4), family members (n = 1), nurses (n = 2), and medical staff (n = 2). Four themes were identified: message content, wording, reactions, and tone, all of which informed the prototype of the intervention and its associated domains.

CONCLUSION

A codesign approach was important for developing a delirium management intervention. This process enabled participants to provide their feedback in the context of their unique experiences, which in turn enhanced the authenticity and appropriateness of this unique intervention.

Response rates to sequential trials of antipsychotic medications according to algorithms or treatment guidelines in psychotic disorders. A systematic review and meta-analysis

BACKGROUND

There is a relative lack of research evaluating the outcomes when treatment guidelines or algorithms for psychotic disorders are followed. This systematic review and meta-analysis determined the response rates to antipsychotic medications at different stages of these algorithms and whether these response rates differ in first episode cohorts.

METHODS

Data sources: A systematic search strategy was conducted across four databases PubMed, EMBASE, PsycINFO (Ovid) and CINAHL. Studies that had sequential trials of different antipsychotic medications were included. A meta-analysis of proportions was performed using random effects models and sub-group analysis in first episode psychosis studies.

RESULTS

Of the 4078 unique articles screened, fourteen articles, from nine unique studies, were eligible and included 2522 participants. The proportion who experienced a response to any antipsychotic in the first stage of an algorithm was 0.53 (95 % C.I.:0.38,0.68) and this decreased to 0.26 (95 % C.I.:0.15,0.39) in the second stage. When clozapine was used in the third stage, the proportion that achieved a response was 0.43 (95 % C.I. 0.19, 0.69) compared to 0.26 (95 % C.I.:0.05,0.54) if a different antipsychotic was used. Four studies included 907 participants with a first episode of psychosis and the proportions that achieved a response were: 1st stage: 0.63 (95 % C.I.: 0.45, 0.79); 2nd stage: 0.34 (95 % C.I.:0.16,0.55); clozapine 3rd stage: 0.45 (95 % C.I.:0.0,0.97), different antipsychotic 3rd stage: 0.15 (95 % C.I.,0.01,0.37).

DISCUSSION

These findings support the recommendation to have a trial of clozapine after two other antipsychotic medications have been found to be ineffective.