Trial sequential analysis and updated meta-analysis of fluvoxamine on clinical deterioration in adult patients with symptomatic COVID-19 infection

Preliminary meta-analyses suggested that fluvoxamine was effective in treating COVID-19 infection. However, the reliability of this evidence has not yet been examined. MEDLINE, CENTRAL, EMBASE, PsycINFO, and ClinicalTrials.gov were searched to identify any randomized controlled trials (RCTs) from the inception of the databases to 5 February 2023. We used trial sequential analysis (TSA) to examine the reliability of the current existing evidence on the benefits of fluvoxamine on COVID-19 infection. The primary outcome was clinical deterioration, as defined in the original study (reported as odds ratio (OR), with 95% confidence intervals), and the secondary outcome was hospitalization. In the TSA, we used the relative risk reduction thresholds of 10, 20, and 30%. The updated meta-analysis of the five RCTs showed that fluvoxamine was not associated with lower odds of clinical deterioration when compared with a placebo (OR: 0.81; 0.59–1.11). The effect of fluvoxamine lay within the futility boundary (i.e., lack of effect) when using a 30% relative risk reduction threshold. The effect estimates lay between the superiority and futility boundary using the 10% and 20% threshold, and the required size of information was not reached for these two thresholds. The effect of fluvoxamine on the odds of hospitalization was not statistically significant (0.76; 0.56–1.03). In conclusion, there is no reliable evidence that fluvoxamine, when compared to a placebo, reduces the relative risk of clinical deterioration among adult patients with COVID-19 infection by 30%, and a relative risk reduction of 20% or 10% is still uncertain. The role of fluvoxamine as a COVID-19 treatment cannot be justified

Concurrent hypokalemic periodic paralysis and bipolar disorder

Primary periodic paralysis is a rare autosomal dominant disorder of ion-channel dysfunction, manifested by episodic flaccid paresis secondary to abnormal sarcolemma excitability. Membrane destabilization involving Na, K-ATPase has been hypothesized to be a biological etiology of the bipolar disorder (BD) and the mechanisms underlying lithium therapy have been linked to it. To date, there has been only one reported case of BD comorbid with periodic paralysis. Herein, we reported another case of concurrent bipolar mania and hypokalemic periodic paralysis (HPP), one special form of periodic paralysis. Consistent with the previous case, our patient responded well to lithium treatment for both bipolar mania and HPP. This might provide some support to the hypothesis that the therapeutic effects of lithium in both BD and HPP could be due to the correction of the underlying common pathophysiology

Clinical Efficacy of Traditional Chinese Medicine, Suan Zao Ren Tang, for Sleep Disturbance during Methadone Maintenance: A Randomized, Double-Blind, Placebo-Controlled Trial

Methadone maintenance therapy is an effective treatment for opiate dependence, but more than three-quarters of persons receiving the treatment report sleep quality disturbances. In this double-blind, randomized, controlled trial, we recruited 90 individuals receiving methadone for at least one month who reported sleep disturbances and had Pittsburgh Sleep Quality Index (PSQI) scores > 5. The purpose of this study was to determine whether Suan Zao Ren Tang, one of the most commonly prescribed traditional Chinese medications for treatment of insomnia, improves subjective sleep among methadone-maintained persons with disturbed sleep quality. Ninety patients were randomly assigned to intervention group (n=45) and placebo group (n=45), and all participants were analyzed. Compared with placebo treatment, Suan Zao Ren Tang treatment for four weeks produced a statistically significant improvement in the mean total PSQI scores (P=0.007) and average sleep efficiency (P=0.017). All adverse events (e.g., lethargy, diarrhea, and dizziness) were mild in severity. Suan Zao Ren Tang is effective for improving sleep quality and sleep efficiency among methadone-maintained patients with sleep complaints

Influence of medications and psychotic symptoms on fall risk in acute psychiatric inpatients

Objective: In this study, we investigated the incidence rate and risk factors related to falls among acute psychiatric inpatients in a regional hospital. Methods: We included 521 patients who were admitted to the acute psychiatric ward in Taoyuan Armed Forces General Hospital from January 2015 to January 2016 and analyzed their medical records within a 1-year period. We compared differences between the fall and nonfall groups in demographic characteristics, psychiatric diagnoses, medication use, psychotic symptoms, and Timed Up and Go scores. Chi-square tests were used for comparison of categorical variables and t-test was used for continuous variables. Results: A total of 521 patients with an average age of 38.9 years were included in our study; 167 (32.1%) patients were female. Among the inpatients in our study, 3.07% were fallers. Patients with female gender, older age, psychotic symptoms, and use of more types of medication, especially mood stabilizers, laxatives, and other classes of medications, were significantly more likely to experience falls (P < 0.05). Conclusion: Determining the risk factors for falls in an acute psychiatric ward is useful for clinical care. As we identified patients in a high-risk group, fall prevention can be performed to help them to avoid possible injury. However, further studies are needed to determine more quantitative measures to evaluate or predict the risk of falls in acute psychiatric units

Ramelteon for delirium prevention in hospitalized patients: an updated meta‐analysis and trial sequential analysis of randomized controlled trials

Although ramelteon has been examined as a relatively new therapeutic option for delirium prevention, current evidence to evaluate its efficacy is limited. We conducted an updated meta-analysis and examine the reliability of existing evidence regarding the effect of ramelteon on delirium prevention in hospitalized patients. Seven major electronic databases were systematically searched to identify randomized controlled trials examining the efficacy of ramelteon in delirium prevention. Data were pooled using a frequentist-restricted maximum-likelihood random-effects model. A trial sequential analysis was performed using relative risk reduction thresholds of 50%. The primary outcome was the incidence of delirium (reported as odds ratio with 95% confidence intervals). The secondary outcomes were the days of delirium, all-cause mortality, and all-cause discontinuation. Of 187 potentially eligible studies identified, 8 placebo-controlled randomized controlled trials (n = 587) were included. This updated meta-analysis showed that ramelteon was associated with lower odds of delirium occurrence than placebo (0.50; 0.29-0.86; I^2^  = 17.48%). In trial sequential analysis, the effect of ramelteon across the superiority boundary when using a relative risk reduction threshold ranging from 40% to 60%. In subgroup analyses, ramelteon compared with placebo was associated with lower odds of delirium occurrence in the elderly group (k = 5; 0.28; 0.09-0.85; I^2^  = 27.93%) and multiple dosage group (k = 5; 0.34; 0.14-0.82; I^2^  = 44.24%) but not in the non-elderly and non-multiple dosage groups. When considering surgical patients and medical patients separately, ramelteon showed a trend in the treatment of delirium prevention in both groups, while these findings were not statistically significant. No significant between-group differences were found in the secondary outcomes. The current meta-analysis provides updated and reliable evidence that ramelteon, in comparison with placebo, reduces the risk of delirium among hospitalized patients

Comparisons of Quality, Correctness, and Similarity Between ChatGPT-Generated and Human-Written Abstracts for Basic Research: Cross-Sectional Study

BackgroundChatGPT may act as a research assistant to help organize the direction of thinking and summarize research findings. However, few studies have examined the quality, similarity (abstracts being similar to the original one), and accuracy of the abstracts generated by ChatGPT when researchers provide full-text basic research papers. ObjectiveWe aimed to assess the applicability of an artificial intelligence (AI) model in generating abstracts for basic preclinical research. MethodsWe selected 30 basic research papers from Nature, Genome Biology, and Biological Psychiatry. Excluding abstracts, we inputted the full text into ChatPDF, an application of a language model based on ChatGPT, and we prompted it to generate abstracts with the same style as used in the original papers. A total of 8 experts were invited to evaluate the quality of these abstracts (based on a Likert scale of 0-10) and identify which abstracts were generated by ChatPDF, using a blind approach. These abstracts were also evaluated for their similarity to the original abstracts and the accuracy of the AI content. ResultsThe quality of ChatGPT-generated abstracts was lower than that of the actual abstracts (10-point Likert scale: mean 4.72, SD 2.09 vs mean 8.09, SD 1.03; P<.001). The difference in quality was significant in the unstructured format (mean difference –4.33; 95% CI –4.79 to –3.86; P<.001) but minimal in the 4-subheading structured format (mean difference –2.33; 95% CI –2.79 to –1.86). Among the 30 ChatGPT-generated abstracts, 3 showed wrong conclusions, and 10 were identified as AI content. The mean percentage of similarity between the original and the generated abstracts was not high (2.10%-4.40%). The blinded reviewers achieved a 93% (224/240) accuracy rate in guessing which abstracts were written using ChatGPT. ConclusionsUsing ChatGPT to generate a scientific abstract may not lead to issues of similarity when using real full texts written by humans. However, the quality of the ChatGPT-generated abstracts was suboptimal, and their accuracy was not 100%

Pharmacological and nonpharmacological augmentation treatments for clozapine-resistant schizophrenia: a systematic review and network meta-analysis with normalized entropy assessment

Objective To integrate all evidence derived from randomized controlled trials (RCTs) of both pharmacological and nonpharmacological augmentation interventions for clozapine-resistant schizophrenia (CRS). Methods Six major electronic databases were systematically searched for RCTs published until July 10, 2021. The primary outcome was change in overall symptoms, and the secondary outcomes were positive and negative symptoms and acceptability. We performed random-effects network meta-analysis. Normalized entropy was calculated to examine the uncertainty of treatment ranking. Results We identified 35 RCTs (1472 patients with 23 active augmentation treatments) with a mean daily clozapine dose of 440.80 (91.27) mg for 1168.22 (710.28) days. Network meta-analysis of overall symptoms (reported as standardized mean difference; 95 % confidence interval) with consistent results indicated that mirtazapine (−4.41; −5.61, −3.21), electroconvulsive therapy (ECT) (−4.32; −5.43, −3.21), and memantine (−2.02; −3.14, −0.91) were ranked as the best three treatments. For positive symptoms, ECT (−5.18; −5.86, −4.49) was ranked the best with less uncertainty. For negative symptoms, memantine (−3.38; −4.50, −2.26), duloxetine (−3.27; −4.25, −2.29), and mirtazapine (−1.73; −2.71, −0.74) were ranked the best three treatments with less uncertainty. All antipsychotics, N-methyl d-aspartate receptor agonists, and antiepileptics were not associated with more efficacy than placebo. Compared to placebo, only amisulpride had statistically significant lower discontinuation rate (risk ratio: 0.21; 95 % CI: 0.05, 0.93). Conclusion Add-on mirtazapine, ECT, and memantine were the most efficacious augmentation options for CRS. Data on other important outcomes such as cognitive functioning or quality of life were rarely reported, making further large-scale, well-designed RCTs necessary. (PROSPERO number, CRD42021262197.