The use of cannabis and cannabis-related products among patients with hidradenitis suppurativa (HS) is increasing globally. Given the potential anti-inflammatory, therapeutic, and pain management benefits of cannabis-related products, we reviewed primary literature to evaluate the prevalence and possible purpose for cannabis use among patients with HS and to provide recommendations to patients and physicians. A narrative review of original studies was conducted using Embase and Ovid Medline databases. The search strategy was confirmed by a librarian and conducted on September 1, 2023, using a detailed list of subject headings and keywords tailored to cannabis, cannabis-related products, HS, and both adult and pediatric populations. Among 43 identified studies, 6 met the eligibility criteria and encompassed 34,435 patients. Patients were mostly female, and studies were conducted across the United States, Canada, and France. Findings show higher cannabis use among HS patients, demonstrating efficacy in pain management, sleep, anxiety relief, itch relief, and improved quality of life. Cannabis may play a role in analgesia, improved quality of life, pain, itch, and overall mental health in patients with HS and healthcare providers including dermatologists should increase their familiarity in appropriate use of cannabis-related products.

BACKGROUND: The association between tumor-infiltrating lymphocyte (TIL) levels and the response to neoadjuvant therapy (NAT) in patients with triple-negative breast cancer (TNBC) remains unclear.
OBJECTIVE: To investigate the predictive potential of TIL levels for the response to NAT in TNBC patients.
METHODS: A systematic search of the National Center for Biotechnology Information PubMed database was performed to collect relevant published literature prior to August 31, 2023. The correlation between TIL levels and the NAT pathologic complete response (pCR) in TNBC patients was assessed using a systematic review and meta-analysis. Subgroup analysis, sensitivity analysis, and publication bias analysis were also conducted.
RESULTS: A total of 32 studies were included in this meta-analysis. The overall meta-analysis results indicated that the pCR rate after NAT treatment in TNBC patients in the high TIL subgroup was significantly greater than that in patients in the low TIL subgroup (48.0% vs 27.7%) (risk ratio 2.01; 95% confidence interval 1.77-2.29; P < 0.001, I 2 = 56%). Subgroup analysis revealed that the between-study heterogeneity originated from differences in study design, TIL level cutoffs, and study populations. Publication bias could have existed in the included studies. The meta-analysis based on different NAT protocols revealed that all TNBC patients with high levels of TILs had a greater rate of pCR after NAT treatment in all protocols (all P ≤ 0.01), and there was no significant between-protocol difference in the statistics among the different NAT protocols (P = 0.29). Additionally, sensitivity analysis demonstrated that the overall results of the meta-analysis remained consistent when the included studies were individually excluded.
CONCLUSIONS: TILs can serve as a predictor of the response to NAT treatment in TNBC patients. TNBC patients with high levels of TILs exhibit a greater NAT pCR rate than those with low levels of TILs, and this predictive capability is consistent across different NAT regimens.

BACKGROUND: Radiomics holds great potential in medical image analysis for various ophthalmic diseases. In recent times, there have been numerous endeavors in this area of research. This systematic review aims to provide a comprehensive assessment of the strengths and limitations of radiomics in ophthalmology.
METHODS: Conforming to the preferred reporting items for systematic reviews and meta-analyses (PRISMA) guidelines, we conducted a systematic review with a pre-registered protocol (PROSPERO: CRD42023446317). We explored the PubMed, Embase, and Cochrane databases for original studies on this topic and made a comprehensive descriptive integration. Furthermore, the included studies underwent quality assessment by the radiomics quality score (RQS).
RESULTS: A total of 41 articles from an initial search of 227 studies were finally selected for further analysis. These articles included research across five disease categories and covered seven imaging modalities. The radiomics models demonstrated robust performance, with area under the curve (AUC) values mostly falling within 0.7-1.0. The moderate RQS (mean score: 11.17/36) indicated that most studies were retrospectively, single-center analyses without external validation.
CONCLUSIONS: Radiomics holds promising utility in the field of ophthalmology, assisting diagnosis, early-stage screening, and prognostication of treatment response. Artificial intelligence algorithms significantly contribute to the construction of radiomics models in ophthalmology. This study highlights the strengths and challenges of radiomics in ophthalmology and suggests potential avenues for future improvement.
CONCLUSIONS: Radiomics represents a valuable approach for generating innovative imaging markers, enhancing efficiency in clinical diagnosis and treatment, and aiding decision-making in clinical contexts of many ophthalmic diseases, thereby improving overall patient prognosis.
CONCLUSIONS: Radiomics has attracted extensive attention in the field of ophthalmology. Articles included five disease categories over seven imaging modalities, consistently yielding AUCs mostly above 0.7. Current research has few prospective and multi-center studies, underlining the necessity for future high-quality studies.

Objectives: Stimulants, such as methylphenidate (MPH) and amphetamines, represent the first-line pharmacological option for attention-deficit/hyperactivity disorder (ADHD). Randomized controlled trials (RCTs) have demonstrated beneficial effects at a group level but could not identify characteristics consistently associated with varying individual response. Thus, more individualized approaches are needed. Experimental studies have suggested that the neurobiological response to a single dose is indicative of longer term response. It is unclear whether this also applies to clinical measures. Methods: We carried out a systematic review of RCTs testing the association between the clinical response to a single dose of stimulants and longer term improvement. Potentially suitable single-dose RCTs were identified from the MED-ADHD data set, the European ADHD Guidelines Group RCT Data set (https://med-adhd.org/), as updated on February 1, 2024. Quality assessment was carried out using the Cochrane Risk of Bias (RoB) 2.0 tool. Results: A total of 63 single-dose RCTs (94% testing MPH, 85% in children) were identified. Among these, only a secondary analysis of an RCT tested the association between acute and longer term clinical response. This showed that the clinical improvement after a single dose of MPH was significantly associated with symptom improvement after a 4-week MPH treatment in 46 children (89% males) with ADHD. The risk of bias was rated as moderate. A further RCT used near-infrared spectroscopy, thus did not meet the inclusion criteria, and reported an association between brain changes under a single-dose and longer term clinical response in 22 children (82% males) with ADHD. The remaining RCTs only reported single-dose effects on neuropsychological, neuroimaging, or neurophysiological measures. Conclusion: This systematic review highlighted an important gap in the current knowledge. Investigating how acute and long-term response may be related can foster our understanding of stimulant mechanism of action and help develop stratification approaches for more tailored treatment strategies. Future studies need to investigate potential age- and sex-related differences.

Immunotherapy is a rapidly evolving field, with many models attempting to describe its impact on the immune system, especially when paired with radiotherapy. Tumor response to this combination involves a complex spatiotemporal dynamic which makes either clinical or pre-clinical in vivo investigation across the resulting extensive solution space extremely difficult. In this review, several in silico models of the interaction between radiotherapy, immunotherapy, and the patient\'s immune system are examined. The study included only mathematical models published in English that investigated the effects of radiotherapy on the immune system, or the effect of immuno-radiotherapy with immune checkpoint inhibitors. The findings indicate that treatment efficacy was predicted to improve when both radiotherapy and immunotherapy were administered, compared to radiotherapy or immunotherapy alone. However, the models do not agree on the optimal schedule and fractionation of radiotherapy and immunotherapy. This corresponds to relevant clinical trials, which report an improved treatment efficacy with combination therapy, however, the optimal scheduling varies between clinical trials. This discrepancy between the models can be attributed to the variation in model approach and the specific cancer types modeled, making the determination of the optimum general treatment schedule and model challenging. Further research needs to be conducted with similar data sets to evaluate the best model and treatment schedule for a specific cancer type and stage.

Glioma is the most common type of primary malignant tumor of the central nervous system (CNS), and is characterized by high malignancy, high recurrence rate and poor survival. Conventional imaging techniques only provide information regarding the anatomical location, morphological characteristics, and enhancement patterns. In contrast, advanced imaging techniques such as dynamic contrast-enhanced (DCE) MRI or DCE CT can reflect tissue microcirculation, including tumor vascular hyperplasia and vessel permeability. Although several studies have used DCE imaging to evaluate gliomas, the results of data analysis using conventional tracer kinetic models (TKMs) such as Tofts or extended-Tofts model (ETM) have been ambiguous. More advanced models such as Brix\'s conventional two-compartment model (Brix), tissue homogeneity model (TH) and distributed parameter (DP) model have been developed, but their application in clinical trials has been limited. This review attempts to appraise issues on glioma studies using conventional TKMs, such as Tofts or ETM model, highlight advancement of DCE imaging techniques and provides insights on the clinical value of glioma management using more advanced TKMs.

Major depressive disorder (MDD) is a debilitating and prevalent mental disorder with a high disease burden. Despite a wide array of different treatment options, many patients do not respond to initial treatment attempts. Selection of the most appropriate treatment remains a significant clinical challenge in psychiatry, highlighting the need for the development of biomarkers with predictive utility. Recently, the epigenetic modification DNA methylation (DNAm) has emerged to be of great interest as a potential predictor of MDD treatment outcomes. Here, we review efforts to date that seek to identify DNAm signatures associated with treatment response in individuals with MDD. Searches were conducted in the databases PubMed, Scopus, and Web of Science with the concepts and keywords MDD, DNAm, antidepressants, psychotherapy, cognitive behavior therapy, electroconvulsive therapy, transcranial magnetic stimulation, and brain stimulation therapies. We identified 32 studies implicating DNAm patterns associated with MDD treatment outcomes. The majority of studies (N = 25) are focused on selected target genes exploring treatment outcomes in pharmacological treatments (N = 22) with a few studies assessing treatment response to electroconvulsive therapy (N = 3). Additionally, there are few genome-scale efforts (N = 7) to characterize DNAm patterns associated with treatment outcomes. There is a relative dearth of studies investigating DNAm patterns in relation to psychotherapy, electroconvulsive therapy, or transcranial magnetic stimulation; importantly, most existing studies have limited sample sizes. Given the heterogeneity in both methods and results of studies to date, there is a need for additional studies before existing findings can inform clinical decisions.

BACKGROUND: Psychiatric disorders differ in their prevalence, symptom profiles, and disease courses in men and women. However, sex differences in psychiatric disorders have not received enough attention to guide treatment recommendations. This systematic review aims to summarize sex differences in the treatment responses and adverse effects of mood stabilizers and antipsychotics transdiagnostically.
METHODS: We conducted a systematic review following the PRISMA 2020 statement (CRD42020212478). A literature search was conducted using MEDLINE, Embase, Cochrane Central, PsycINFO, Web of Science Core Collection, and Scopus databases. Studies comparing mood stabilizer or antipsychotic treatment outcomes in men and women were included. JBI critical appraisal checklists were used to assess bias risk.
RESULTS: Out of 4866 records, 129 reports (14 on mood stabilizers, 115 on antipsychotics) with varying designs were included. Sample sizes ranged from 17 to 22,774 participants (median = 147). The most common psychiatric diagnoses were schizophrenia spectrum (n = 109, 84.5 %) and bipolar disorders (n = 38, 29.5 %). Only four studies explored sex differences in mood stabilizer treatment response. In 40 articles on antipsychotic treatment response, 18 indicated no sex difference, while 16 showed females had better outcomes. Women had more adverse effects with both mood stabilizers and antipsychotics. The risk of bias was low in 84 (65.1 %) of studies.
CONCLUSIONS: Substantial heterogeneity among the studies precluded performing a meta-analysis.
CONCLUSIONS: Number of studies focusing on sex differences in treatment outcomes of mood stabilizers is limited. Women may respond better to antipsychotics than men, but also experience more side effects. The impact of pharmacokinetics on sex differences warrants more attention.

BACKGROUND: Given the contradictory data available in the literature, the aim of this systematic review was to investigate the impact of the diagnostic method for borderline personality disorder (BPD) on the acute response and the risk of early relapse in major depressed individuals treated with electroconvulsive therapy (ECT).
METHODS: After a systematic literature review performed during March 2023 in the PubMed-Medline database according to the PRISMA criteria, 47 articles were identified using the keyword algorithm (\"Electroconvulsive Therapy\" [Mesh] or electroconvulsive therapy) and (\"Borderline Personality Disorder\" [Mesh] or borderline personality disorder). The inclusion criteria applied for the selection of articles in this systematic review were: (1) articles investigating the impact of BPD on the acute response and/or the risk of early relapse in major depressed individuals (> 18 years old) treated with ECT, (2) diagnosis of BPD and major depressive disorder by validated screening tests and/or systematic psychiatric interviews based on diagnostic criteria of international classification, (3) any type of study (cross-sectional, longitudinal, prospective, retrospective, interventional and experimental), (4) articles written in English or French, and (5) articles published after January 2000. After assessment of the 47 articles based on these inclusion criteria by two authors, seven studies investigating the impact of BPD diagnosed by systematic psychiatric interview or screening tests on the acute response and the risk of early relapse in major depressed individuals treated with ECT were included in this systematic review.
RESULTS: Unlike the three studies diagnosing BPD by screening tests, the four studies diagnosing BPD by systematic psychiatric interview demonstrated a negative impact of this personality disorder on the acute response or the risk of early relapse in major depressed individuals treated with ECT. However, all studies included in this systematic review presented a low level of scientific evidence (cross-sectional epidemiological studies and retrospective cohort studies).
CONCLUSIONS: Despite the need for studies of better scientific quality, the results of this systematic review seem to indicate that screening for BPD by systematic psychiatric interview during the pre-ECT assessment and the establishment of adequate therapeutic strategies in case of comorbid BPD could be promising options to allow better acute response and better prevention of early relapses in major depressed individuals treated with ECT.

Rheumatoid arthritis (RA) is a relatively common systemic autoimmune disease with an estimated prevalence of approximately 1% worldwide. Patients present predominantly with symmetrical small joint inflammatory arthritis, which involves dysregulated immune responses, leading to bone and cartilage deformities due to extensive erosive damage. The introduction of biological based therapies for the management of this life-altering condition, over the past three decades, has led to marked improvements in patients\' quality of life. A wide range of both innate and adaptive immune cells are involved in the pathogenesis of RA, with a complex interplay of cytokines, T-cells, B-cells, and dendritic cells. Some of these cells have been successfully targeted in the treatment of RA by the use of biologics-based therapies. For example, rituximab therapy blocks B cell activation and abatacept effectively blocks T cell activation in patients with RA. Despite these advances, there remain some patients who are resistant to all current therapeutic options, which has encouraged further research into understanding the primary signal transduction pathways that mediate the disease. In this review we discuss the roles of the main signalling pathways, including metabolic reprogramming that have been implicated in RA disease progression, in order to develop a conceptual framework for more precise deployment of existing therapies, and to provide a rationale for producing molecular inhibitors of these pathways. Improved knowledge of the many intracellular signalling pathways in RA will complement current precision medicine strategies, particularly for the patients with difficult-to-treat RA, and especially in those with multidrug resistance disease.