Results Of Trial Research Articles

Joint Models Inform the Longitudinal Assessment of Patient-Reported Outcomes in Clinical Trials: A Simulation Study and Secondary Analysis of the Restrictive versus Liberal Fluid Therapy for Major Abdominal Surgery (RELIEF) Randomized Controlled Trial

Evaluate the utility of a joint model when analysing a patient-reported endpoint as part of a randomized controlled trial in which censoring occurs when patients die during follow-up. The present study comprises two parts: first we re-analyzed data from a previously published randomized controlled trial comparing two fluid regimens in the first 24 hours of major abdomino-pelvic surgery ('RELIEF' trial). In this trial, patient-reported disability was measured at multiple timepoints before and after surgery. Next, we conducted a simulation study to jointly emulate patient-reported disability and survival, similar to the RELIEF trial, under nine treatment-outcome scenarios. In both parts, we compared a joint model analysis to a linear mixed effect model combined with one of several traditional methods of handling longitudinal missingness: available data analysis, complete case analysis, last observation carried forward, and worst-case assumption. In part one, the joint model revealed no between-group differences in patient-reported disability at one, three, six, and 12 months after surgery. The worst-case approach consistently resulted in the largest deviation from the joint model estimates, although in this particular setting none of the approaches materially changed the study's conclusions. In part two, the simulations revealed that across all treatment-outcome scenarios, the joint model expectedly produced unbiased estimates of patient-reported disability. Similarly, employing an approach based on all available data (i.e., relying on the maximum likelihood estimator for handling missingness) yielded disability estimates close to the simulated values, albeit with slight bias across some scenarios. The last observation carried forward approach mirrored the joint model's estimates except when the treatment had a non-null effect on patient-reported disability. The worst case analysis resulted in high bias, which was particularly evident when the treatment had a large effect on survival. The complete case analysis resulted in high bias across all scenarios. In randomized trials that employ a patient-reported outcome as one of their endpoints, a joint model can address bias arising from informative missingness related to death. Methods for handling missingness based on all available data appear to be a reasonable alternative to joint models, with only slight bias across some simulated scenarios.

Gene editing of Angiotensin for blood pressure management

Arterial hypertension has remained the world's leading cause of morbidity and mortality for more than 20 years. While early Genome-Wide Association Studies raised the hypothesis that a precision medicine approach could be implemented in the treatment of hypertension, the large number of single nucleotide polymorphisms that were found to be associated with blood pressure and their limited impact on the blood pressure values have initially hampered these expectations. With the development and refinement of gene-editing and RNA-based approaches allowing selective and organ-specific modulation of critical systems involved in blood pressure regulation, a renewed interest in genetic treatments for hypertension has emerged. The CRISPR-Cas9 system, antisense oligonucleotides (ASO) and small interfering RNA (siRNA) have been used to specifically target the hepatic angiotensinogen (AGT) production, with the scope of safely but effectively reducing the activation of the renin-angiotensin system, ultimately leading to an effective reduction of the blood pressure with extremely simplified treatment regimens that involve weekly, monthly or even once-in-life injection of the drugs. Among the various approaches, siRNA and ASO that reduce hepatic AGT production are in advanced development, with phase I and II clinical trials showing their safety and effectiveness. In the current manuscript, we review the mode of action of these new approaches to hypertension treatment, discussing the results of the clinical trials and their potential to revolutionize the management of hypertension.

Why effect sizes are systematically larger for progression-free survival than overall survival in cancer drug trials: prognostic scores as a way forward

Cancer drugs have accumulated the most approvals over the past years. Overall survival (OS) is considered the gold standard for cancer trial outcomes. However, its use has declined over the past years, in favor of surrogate endpoints, such as progression-free survival (PFS). PFS allows to assess outcomes earlier and, thus, accelerates approval of cancer drugs. Previous studies have demonstrated a poor correlation between PFS and OS. Using simulation models, we examined why PFS usually overestimates survival benefit. We created a publicly accessible web application that allows users to run the simulations with different parameter settings. Based on the findings, we propose that assessment of preliminary evidence should be based on a combination of OS result and prognostic scores that reflect the health status of surviving patients.

The Effect of Mindfulness-Based Cognitive Therapy on PTSD and Depression Symptoms in Trauma-Exposed Black Adults: Pilot Randomized Controlled Trial Results

Low-income, urban-dwelling Black adults are disproportionately affected by traumatic experiences, posttraumatic stress disorder (PTSD), and depression and encounter inequities in treatment access. In addition to the benefits Mindfulness-Based Cognitive Therapy (MBCT) for depression, there is preliminary evidence of successful symptom reduction in PTSD via MBCT across two prior pilot studies in veterans. Studies examining the effects of MBCT among trauma-exposed Black adults remains limited, and examination of effects across specific PTSD clusters is almost nonexistent. We examined the preliminary efficacy of adapted MBCT versus waitlist control (WLC) on PTSD and depression symptoms in a pilot randomized controlled trial (RCT). Black adults (N = 80; 86.10% women) with repeated trauma exposure, who screened positive for PTSD and depression, were recruited from an urban public hospital and randomized to 8-week adapted MBCT or WLC. Symptoms were measured pretreatment and posttreatment with the Clinician-Administered PTSD Scale for DSM-5 (CAPS-5) and the Beck Depression Inventory-II (BDI-II). Mixed model analyses were conducted with an intent-to-treat approach, examining change in PTSD and depression scores between MBCT and WLC over time. There was no significant difference in total PTSD and depression symptom change between MBCT and WLC. CAPS-5 avoidance symptoms showed a nominally significant decrease in the MBCT group (F[1, 68.10] = 5.98, p =.017; t[71.60] = 3.61, p <.001). Findings suggest MBCT might be helpful for addressing avoidance symptoms among Black adults with comorbid PTSD and depression. Although lacking power to draw final conclusions about treatment efficacy, this study provides preliminary data suggesting the importance of future fully powered trials.

Review of doxycycline for prophylaxis of sexually transmitted infections

AbstractThe surging rates of STIs necessitate medical practitioners in the appropriate specialties to focus on rapid recognition, treatment and prevention of these conditions. Through both pre‐ and post‐exposure prophylaxis with doxycycline, dermatologists can provide up‐to‐date treatment in the field of venereology. Herein, we review the results of clinical trials in the available literature that investigate doxycycline prophylaxis in the prevention of bacterial STIs. A search was performed using the PubMED and Scopus databases which yielded six clinical trials for our review. Based on the results of these clinical trials, doxycycline prophylaxis offers significant reductions in bacterial STIs, specifically in men who have sex with men (MSM). Additional research is needed in other high‐risk groups, including females. Moreover, additional research is needed to determine the effects of doxycycline prophylaxis on tetracycline resistance in STI‐causing bacteria. As the utilization of doxycycline prophylaxis for STIs becomes more common, it is important that dermatologists become familiar with the data surrounding this prevention regimen and patient populations who may seek to know more about it. More research is needed to determine benefits in other subpopulations, antimicrobial resistance and cost effectiveness.

Early Palliative Care Following Aborted Cancer Surgery: Results of a Prospective Feasibility Trial

Background: Although resection is generally necessary for curative-intent treatment of most solid organ cancers, surgery is occasionally aborted due to intraoperative findings. Following aborted cancer surgery, patients have unique care needs that specialized palliative care (PC) providers may be best equipped to manage. We hypothesized that early ambulatory PC referral following aborted cancer surgery would be feasible and acceptable. Methods: This single-institution prospective clinical trial enrolled adult patients with gastrointestinal or hepatopancreatobiliary cancer with no prior PC exposure who had curative-intent oncologic surgery that was unexpectedly aborted. The primary endpoint was the completion of an ambulatory PC consultation within 30 days of enrollment. Secondary outcomes included changes in standardized measures of quality-of-life (QOL) and anxiety/depression during the 3-month follow-up. Results: Among 25 enrolled participants, the mean age was 65.3 ± 9.9 years, 68% were male, and 88% were White. The most common types of cancers were pancreatic (44%), hepatobiliary (20%), and colorectal (12%); reasons for aborting surgery were occult metastatic disease (52%) and local unresectability (36%). Only 13 of 25 (52%) met the primary endpoint of ambulatory PC within 30 days, less than the prespecified threshold of 70%. Overall, 16 (64%) patients completed ambulatory PC consultation a mean of 29.2 ± 15.8 days after enrollment. Of the 9 (36%) who did not, reasons included patient preference (n = 4), withdrawal from study (n = 1), lost to follow-up (n = 1), scheduling conflict (n = 1), and required inpatient PC before discharge (n = 2). Anxiety (4.94 ± 3.56 vs 3.35 ± 2.60, P = 0.06), depression (4.18 ± 4.02 vs 4.76 ± 3.44, P = 0.49), and QOL (82.44 ± 11.41 vs 82.03 ± 15.37, P = 0.92) scores did not significantly differ at 3-month follow-up compared to baseline. Conclusions: Barriers to early ambulatory palliative care consultation exist after aborted cancer surgery. Given the unique and complex care needs of this patient population, additional research is needed to optimize supportive care strategies.

Early Adoption of Sodium-Glucose Cotransporter-2 Inhibitor in Patients Hospitalized With Heart Failure With Mildly Reduced or Preserved Ejection Fraction

ImportanceSodium-glucose cotransporter-2 inhibitors (SGLT2is) are the first therapy shown to improve clinical outcomes for patients with heart failure (HF) and a left ventricular ejection fraction (LVEF) greater than 40%. Nationwide adoption of SGLT2is in the US since publication of the Empagliflozin Outcome Trial in Patients With Chronic Heart Failure With Preserved Ejection Fraction (EMPEROR-Preserved) in August 2021 is unknown.ObjectiveTo examine trends and hospital-level variation in SGLT2i adoption.Design, Setting, and ParticipantsThis cohort study included patients with LVEF greater than 40% who were hospitalized for decompensated HF at 1 of 557 sites in the US between July 1, 2021, and September 30, 2023, from the Get With The Guidelines–Heart Failure registry.Main Outcomes and MeasuresPatient-level trends and site-level variation in prescription rates of SGLT2i at hospital discharge. Site-level variation was quantified using the median odds ratio, which describes the average odds that a patient being treated at one vs another randomly selected hospital would receive SGLT2i therapy at discharge.ResultsOf 158 849 patients (median [IQR] age, 76 [66-85] years; 89 816 females [56.5%]), 22 126 eligible patients (13.9%) with HF and an LVEF greater than 40% were prescribed an SGLT2i at hospital discharge. Quarterly prescription rates increased from 4.2% in July to September 2021 to 23.5% in July to September 2023 (P for trend &amp;amp;lt; .001). SGLT2i prescription was more likely among patients with HF with mildly reduced LVEF (41%-49%) than in those with preserved LVEF (≥50%; 5127 of 27 712 patients [18.5%] vs 16 999 of 131 137 patients [13.0%]; absolute standardized difference, 16.7%). After adjustment for patient characteristics, there was a high variance between hospitals in the rate of SGLT2i prescription (median odds ratio, 2.12; 95% CI, 2.02-2.25). Among 518 hospitals with 10 or more eligible discharges, 11 hospitals (2.1%) discharged 50% or more of their patients with an SGLT2i prescription, while 232 (44.8%) discharged fewer than 10% of eligible patients with an SGLT2i prescription.Conclusion and RelevanceFor patients with HF and an LVEF greater than 40%, discharge prescription of SGLT2is increased from 4.2% to 23.5% during the first 2 years after the EMPEROR-Preserved trial demonstrating treatment benefits; however, these rates varied across US hospitals.

Comparative neurofilament light chain trajectories in CSF and plasma in autosomal dominant Alzheimer’s disease

AbstractDisease-modifying therapies for Alzheimer’s disease (AD) are likely to be most beneficial when initiated in the presymptomatic phase. To track the benefit of such interventions, fluid biomarkers are of great importance, with neurofilament light chain protein (NfL) showing promise for monitoring neurodegeneration and predicting cognitive outcomes. Here, we update and complement previous findings from the Dominantly Inherited Alzheimer Network Observational Study by using matched cross-sectional and longitudinal cerebrospinal fluid (CSF) and plasma samples from 567 individuals, allowing timely comparative analyses of CSF and blood trajectories across the entire disease spectrum. CSF and plasma trajectories were similar at presymptomatic stages, discriminating mutation carriers from non-carrier controls 10-20 years before the estimated onset of clinical symptoms, depending on the statistical model used. However, after symptom onset the rate of change in CSF NfL continued to increase steadily, whereas the rate of change in plasma NfL leveled off. Both plasma and CSF NfL changes were associated with grey-matter atrophy, but not with Aβ-PET changes, supporting a temporal decoupling of Aβ deposition and neurodegeneration. These observations support NfL in both CSF and blood as an early marker of neurodegeneration but suggest that NfL measured in the CSF may be better suited for monitoring clinical trial outcomes in symptomatic AD patients.

Deucravacitinib, an Oral Selective Tyrosine Kinase 2 (TYK2) Inhibitor, in Patients with Moderate to Severe Scalp Psoriasis: Efficacy and Safety Results of a Phase 3b/4, Multicenter, Randomized, Double-blinded, Placebo-controlled Trial (PSORIATYK SCALP)

Introduction: Deucravacitinib, an oral, selective, allosteric TYK2 inhibitor, is approved in multiple countries for treatment of adults with moderate to severe plaque psoriasis who are candidates for systemic therapy. PSORIATYK SCALP, an ongoing, 52-week, phase 3b/4, multicenter, randomized, double-blinded, placebo-controlled trial, evaluated deucravacitinib efficacy/safety in patients with moderate to severe scalp psoriasis, including those with more limited overall psoriasis. Methods: Adults with moderate to severe scalp psoriasis defined by more focused and objective inclusion criteria (ss-PGA ≥3, scalp surface area involvement ≥20%, and PSSI ≥12 at baseline) and BSA involvement ≥3% were randomized 1:2 to oral placebo or deucravacitinib 6 mg once daily through Week 16. The primary efficacy outcome was ss-PGA 0/1; key secondary outcomes were PSSI 90, change from baseline in scalp-specific itch numeric rating scale (NRS), and sPGA 0/1 at Week 16. Efficacy outcomes were evaluated at Week 16 for the overall population and the subpopulation with global sPGA ≥3. Nonresponder imputation and modified baseline observation carried forward were used for patients who discontinued or had missing data for binary and continuous outcomes, respectively. Results: 154 patients were randomized (placebo, n=51; deucravacitinib, n=103). Baseline characteristics were similar in each group (placebo: mean BSA 10.0%, PASI 9.4, PSSI 32.2; deucravacitinib: mean BSA 10.5%, PASI 10.2, PSSI 33.5). In the overall population, a higher proportion of patients receiving deucravacitinib versus placebo achieved ss-PGA 0/1 at Week 16 (48.5% vs 13.7%; P&lt;0.0001). Deucravacitinib was superior to placebo for PSSI 90 (38.8% vs 2.0%; P&lt;0.0001) and mean change from baseline in scalp-specific itch NRS (−3.2 vs −0.7; P&lt;0.0001). In the subpopulation (sPGA ≥3), a greater proportion achieved sPGA 0/1 with deucravacitinib versus placebo (51.0% vs 4.3%; P&lt;0.0001). The most common adverse events (AEs) in the deucravacitinib group (≥5%) were nasopharyngitis (14.6%), upper respiratory tract infection (11.7%), acne (9.7%), headache (7.8%), COVID-19 (5.8%), and pustular acne (5.8%). Two serious AEs were reported (1/group); neither was considered treatment related or led to discontinuation. Conclusion: Deucravacitinib was efficacious and well tolerated in patients with moderate to severe scalp psoriasis, including those with less extensive overall psoriasis (BSA ≥3%). The overall psoriasis response rate (sPGA 0/1) was consistent with POETYK trial results, despite including patients with more limited BSA involvement. Safety findings were consistent with the known deucravacitinib safety profile.

Natural Language Processing to Adjudicate Heart Failure Hospitalizations in Global Clinical Trials.

Background: Medical record review by a physician clinical events committee is the gold standard for identifying cardiovascular outcomes in clinical trials, but is labor-intensive and poorly reproducible. Automated outcome adjudication by artificial intelligence (AI) could enable larger and less expensive clinical trials, but has not been validated in global studies. Methods: We developed a novel model for automated AI-based heart failure adjudication ("HF-NLP") using hospitalizations from three international clinical outcomes trials. This model was tested on potential heart failure hospitalizations from the DELIVER trial, a cardiovascular outcomes trial comparing dapagliflozin with placebo in 6063 patients with heart failure with mildly reduced or preserved ejection fraction. AI-based adjudications were compared with adjudications from a clinical events committee that followed FDA-based criteria. Results: AI-based adjudication agreed with the clinical events committee in 83% of events. A strategy of human review for events that the AI model deemed uncertain (16%) would have achieved 91% agreement with the clinical events committee while reducing adjudication workload by 84%. The estimated effect of dapagliflozin on heart failure hospitalization was nearly identical with AI-based adjudication (hazard ratio 0.76 [95% CI 0.66-0.88]) compared to clinical events committee adjudication (hazard ratio 0.77 [95% CI 0.67-0.89]). The AI model extracted symptoms, signs, and treatments of heart failure from each medical record in tabular format and quoted sentences documenting them. Conclusions: AI-based adjudication of clinical outcomes has the potential to improve the efficiency of global clinical trials while preserving accuracy and interpretability.

Machine learning approach for detection of MACE events within clinical trial data.

Randomized controlled trials (RCTs) are the gold standard for clinical research but may not accurately reflect the impact of medicines in real-world settings. Supplementing RCTs with insights from real-world data (RWD) can address known limitations by including more diverse patient populations, additional types of sites-of-care, and practices more representative of the care most people receive. One current challenge in using RWD is the lack of an algorithmic approach to identifying outcomes. To address this, machine learning models for identifying a frequently used outcome, Major Adverse Cardiovascular Events (MACE), were developed in Clinical Trial Data (CTD). Anonymized CTD sourced from the Medidata Enterprise Data Store were used to develop model features on the condition that they would be useful for labelling MACE events and that they could also be found in RWD. These features were used to train three random forest models to identify each component of 3-point MACE in a patient's clinical trial journey. Performance metrics for the models are presented (recall = 0.72 [0.07], precision = 0.68 [0.12] - mean, [SD]) along with the top contributing features. We show that the models can be tuned specifically to replicate the adjudication panels' results and present a cost-benefit analysis for deploying such models in clinical trial settings. We demonstrate the viability of using advanced algorithms for identifying clinical outcomes in prospective clinical trials. Deployment of such models could reduce the resources required to conduct RCTs. Extending such models to RWD would facilitate approval of pragmatic clinical trials for regulatory submissions.

Chronic constipation: focus on microbiome-targeted therapies with prebiotics, probiotics, and synbiotics

Chronic constipation is a global medical, social, and economic problem due to its negative impact on patients’ quality of life and increased risk of colorectal cancer, cardiovascular and cerebrovascular disorders. The gut microbiota plays an important role in the pathophysiology of constipation through its interplay with the immune system, enteral and central nervous system, representing a promising therapeutic target. Gut dysbiosis in patients with constipation is characterized by reduced relative numbers of bacteria producing lactate (Lactobacillaceae, Bifidobacteriaceae) and butyrate (Lachnospiraceae, Oscillospiraceae), as well as with increased numbers of those producing hydrogen sulfide (Desulfovibrionaceae) and methanogenic archaea (Methanobacteriaceae). The leading pathogenetic mechanism related to intestinal dysbiosis in chronic constipation, can be microbial metabolic abnormalities (metabolic dysbiosis) characterized by altered production of short-chain fatty acid, methane, hydrogen sulfide, tryptophan metabolites and by abnormal bile acid biotransformation. It has been proven that dysbiotic abnormalities of the intestinal microbiome play a role in the pathophysiology of constipation, which allows for the use of prebiotics, probiotics, and synbiotics for effective microbiome-modulating therapy in patients with chronic constipation. The proven role of dysbiotic abnormalities of the intestinal microbiome in the pathophysiology of chronic constipation determines the effectiveness of microbiome-modulating therapy (prebiotics, probiotics, synbiotics) in patients with this syndrome. Inulin is the most studied preboitic; it is a soluble food fiber that markedly contributes to the regulation of intestinal microbiota, stimulates the growth of beneficial bacteria, and production of anti-inflammatory metabolites. Inulin normalized the intestinal function in patients with chronic constipation increasing the stool frequency, softening the stool, and reducing the intestinal transit time. In addition, inulin modulates the immune response and impacts the absorption of minerals, appetite, and satiety. Treatment with probiotics is also associated with reduced intestinal transit time, compared to controls. According to a systematic review and meta-analysis of 30 randomized controlled trials, only Bifidobacterium lactis strains (but not other probiotics) significantly increase stool frequencies in chronic constipation in adults. Clinical studies have shown that the targeted probiotic Bifidobacterium lactis HN019 can significantly increase the stool frequencies in patients with low (≤ 3 per week) stool frequency up to 4.7–5.0 per week, reduce the intestinal transit time and the rate of functional gastroenterological symptoms in adults with constipation. Beyond its clinical effects, Bifidobacterium lactis HN019 leads to beneficial changes in intestinal microbiota, significantly increasing the bifidobacteria and decreasing the enterobacteria numbers. The results of trials confirm the importance of synbiotic correction of dysbiotic microbiota in all patients with constipation to increase stool frequencies and improve fecal consistency, as well as to prevent the chronic disorders associated with constipation. Synbiotics, such as a combination of Bifidobacterium lactis HN019 and inulin, with the properties of both complementary and synergic synbiotic, may have the greatest microbiome-modulating and functional potential to significantly improve clinical outcomes in patients with chronic constipation compared to probiotics or prebiotics used alone.

Realist assessment of fidelity during the implementation of the PARTNERS collaborative care intervention for people with diagnoses of severe mental illness within a cluster randomised controlled trial

Many with severe mental illnesses are underserved by disjointed service provision. PARTNERS aims to address this via collaborative care with recovery-based coaching. PARTNERS was evaluated in a randomised controlled trial. Understanding how intervention delivery compared to the model, why this was, and under what circumstances, aids interpretation of trial results and optimisation of future implementation. This paper reports the results of a Realist assessment of fidelity, exploring delivery compared to model and refining programme theory. Practitioners, service users, supervisors, primary care representatives, and researchers (n = 39) were interviewed. Additional data included session recordings, follow up interviews, practitioner reflective logs, supervision logs, contact data, service user surveys, and meeting minutes. A framework analysis with evaluative coding was used to assess the extent to which delivery matched the Realist initial programme theory, and how, why and under what circumstances this was the case. Retroductive analysis was used to refine the programme theory. Delivery was good, but varied by practitioner and over time. Delivery improved over time, as practitioner understanding of the intervention increased. Refinements to the programme theory include training leading to practitioners forming collaborative relationships with service users most of the time, but unidentified contextual factors causing variation in consistency. Whether training led to practitioners liaising across different bodies was dependant on the contextual factors of existing relationship skills and previous connections. System-level difficulties in providing consistent supervision made it difficult to assess the impact of this mechanism on delivery. Variation in delivering means caution should be applied when interpreting trial results. Implementation of practitioner-level change without implementing system-level change limits the ability to fully implement the model and to draw conclusions as to effectiveness. Current changes to NHS community mental health care may make this more achievable. Further research is needed to understand the role of supervision and optimal training. Trial registration: This is the realist process evaluation of the cluster randomised controlled trial ISRCTN95702682. REC approval: West Midlands–Edgbaston Research Committee 29/06/2017, ref: 14/WM/0052 (trial registration number ISRCTN95702682).

Real-World Outcomes of Selective RET Inhibitor Selpercatinib in the United States: Descriptive, Retrospective Findings from Two Databases

Objectives: This study described real-world patient characteristics and outcomes among selpercatinib-treated patients in the United States, using the Flatiron Health electronic health record-derived deidentified database (FHD) for advanced/metastatic non-small cell lung cancer (a/mNSCLC) and Optum’s de-identified Clinformatics® Data Mart Database (CDM). Methods: Patients initiating selpercatinib treatment between 08MAY2020 and 30JUN2023 were included. We evaluated real-world time to selpercatinib treatment discontinuation or death (rwTTDd) and time to next treatment or death (rwTTNTd) using Kaplan–Meier analyses. Medication possession ratio (MPR) was estimated as a measure of medication adherence in CDM patients. Results: In a/mNSCLC patients from the FHD (N = 68), the median rwTTDd and rwTTNTd were 22.4 [95%CI: 13.3–NR] and 21.0 [95%CI: 11.6–NR] months, respectively. In CDM, these durations were 12.1 [95%CI: 9.6–NR] and 16.2 [95%CI: 9.6–NR] months for lung cancer (n = 43), while these were not reached for thyroid cancer (n = 24) patients. The median MPR was 0.98 [IQR: 0.84–1.00] among all patients in the CDM (N = 75), with 77.3% of patients adhering (MPR ≥ 0.80) to selpercatinib. Conclusions: Real-world outcomes in this older and frailer patient cohort align with phase 3 trial results, further supporting selpercatinib as the standard of care for patients with RET-altered cancers. Early testing for the detection of RET alterations remains essential.

Treating metabolic dysfunction-associated steatohepatitis: The fat-trimming FGF21 approach.

Metabolic dysfunction-associated steatohepatitis (MASH) is a condition characterized by hepatosteatosis, inflammation, and tissue damage, with steatosis as the initial stage, which involves chronic, excess deposition of lipids in hepatic lipid droplets. Despite the growing prevalence and serious risks it poses, including liver decompensation, the need for transplantation, and increased patient mortality, MASH currently faces no approved pharmacotherapy. Several promising treatment candidates have emerged from recent clinical trials, including analogs of FGF21 and agonists of the associated FGFR1-KLB complex. These agents were well-tolerated in trials and have demonstrated significant improvements in both histological and biochemical markers of liver fat content, inflammation, injury, and fibrosis in patients with MASH. Endocrine FGF21 plays a vital role in maintaining homeostasis of lipid, glucose, and energy metabolism. It achieves this through pathways that target lipids or lipid droplets in adipocytes and hepatocytes. Mechanistically, pharmacological FGF21 acts as a potent catabolic factor to promote lipid or lipid droplet lipolysis, fatty acid oxidation, mitochondrial catabolic flux, and heat-dissipating energy expenditure, leading to effective clearance of hepatic and systemic gluco-lipotoxicity and inflammatory stress, thereby preventing obesity, diabetes, and MASH pathologies. In this review, we aim to provide an update on the outcomes of clinical trials for several FGF21 mimetics. We compare these outcomes with preclinical studies and offer a lipid-centric perspective on the mechanisms underlying the clinical benefits of these agents for MASH.

Interpreting Population Mean Treatment Effects in the Kansas City Cardiomyopathy Questionnaire: A Patient-Level Meta-Analysis.

The Kansas City Cardiomyopathy Questionnaire (KCCQ) is a commonly used outcome in heart failure trials. While comparing means between treatment groups improves statistical power, mean treatment effects do not necessarily reflect the clinical benefit experienced by individual patients. To evaluate the association between mean KCCQ treatment effects and the proportions of patients experiencing clinically important improvements across a range of clinical trials and heart failure etiologies. A patient-level analysis of 11 randomized clinical trials, including 9977 patients, was performed to examine the association between mean treatment effects and the KCCQ Overall Summary Score (OSS) and the absolute differences in the proportions of patients experiencing clinically important (≥5 points) and moderate to large (≥10 points) improvements. There was no target date range, and included studies were those for which patient-level data were available. Validation was performed in 7 additional trials. The data were analyzed between July 1 and September 15, 2023. Proportion of patients experiencing an improvement of 5 or more and 10 or more points in their KCCQ score (with each domain transformed to a range of 0 to 100 points, where higher scores represent better health status). Group mean KCCQ-OSS differences were strongly correlated with absolute differences in clinically important changes (Spearman correlations 0.76-0.92). For example, a mean KCCQ-OSS treatment effect of 2.5 points (half of a minimally important difference for an individual patient) was associated with an absolute difference of 6.0% (95% prediction interval [PI], 4.0%-8.1%) in the proportion of patients improving 5 or more points and 5.0% (95% PI, 3.1%-7.0%) in the proportion improving 10 or more points, corresponding to a number needed to treat of 17 (95% PI, 12-25) and 20 (95% PI, 14-33), respectively. Inferences about clinical impacts based on population-level mean treatment effects may be misleading, since even small between-group differences may reflect clinically important treatment benefits for individual patients. Results of this study suggest that clinical trials should explicitly describe the distributions of KCCQ change at the patient level within treatment groups to support the clinical interpretation of their results.

Comparison of the efficacy of updated drugs for the treatment on the improvement of cognitive function in patients with Alzheimer 's disease: A systematic review and network meta- analysis.

The recent emergence of updated drugs for the treatment of Alzheimer's disease (AD) has produced encouraging cognitive and clinical results in clinical trials, but there is still controversy over how to choose effective treatment options among these numerous drugs. The purpose of this network meta-analysis (NMA) is to compare and rank these drugs based on their efficacy. We systematically searched in PubMed, Web of Science databases and Cochrane LIbrary, gov for randomized controlled trials for data from 2020 to 2024, and then performed a random-effect network meta-analysis. Our NMA results showed that in several main indicators ADAS-cog, CDR-SB and ADCS-ADL. GV-971 (MD -2.36, 95 % CI -5.08, 0.35), Lecanemab (MD -2.00, 95 % CI -5.25, 1.26), Donanemab (MD -1.45, 95 % CI -4.70, 1.81), Masupirdine (MD -0.83, 95 % CI -3.49, 1.84) were more effective than placebo in improving ADAS-cog. In terms of CDR-SB, Lecanemab (MD -3.11,95 % CI -5.23, -0.99) was more effective. Compared with placebo, Donanemab was more effective in ADCS-ADL (MD 3.26,95 % CI 1.48,5.05). SUCRA values showed that GV-971 (76.1 % and 68.7 %) could achieve better therapeutic effects in ADAS-cog) and NPI, and Lecanema (98.1 %) was more effective in improving CDR-SB scores than other drugs. Donanemab (99.8 %) may be the most promising way to slow down the decline in ADCS-ADL scores. The effect of Masupirdine (80.7 %) on MMSE was significantly better than that of several other drugs. Donanemab and Lecanemab showed good efficacy in ADCS-ADL and CDR-SB, respectively. GV-971 is the best choice to improve ADAS cogs and NPI.

The Emerging Potential of Apolipoprotein C-III Inhibition for ASCVD Prevention: A State-of-the-Art Review.

Multiple agents are being developed that inhibit apolipoprotein (apo) C-III. This state-of-the-art review examines their potential for atherosclerotic cardiovascular disease (ASCVD) risk reduction. Apo C-III, an apolipoprotein on the surface of triglyceride-rich lipoproteins (TRLs), impairs clearance of TRLs through both lipoprotein lipase dependent and independent pathways, thereby resulting in increased concentrations of triglycerides. Apo C-III has also been shown to have pro-atherogenic effects when bound to high-density lipoprotein (HDL) particles. Classical and genetic epidemiology studies provide support for the concept that apo C-III is associated with an increased risk of ASCVD events. Drug efficacy of agents that silence APOC3 mRNA has been studied in populations with varying hypertriglyceridemia severity, including those with familial chylomicronemia syndrome, multifactorial chylomicronemia syndrome/severe hypertriglyceridemia, and mixed hyperlipidemia. Randomized controlled trials have reported significant reductions in TG and non-HDL cholesterol levels among these patients treated with APOC3 inhibitors. Upcoming clinical outcomes trials seek to establish a role for APOC3 inhibitors to reduce risk of ASCVD.

Meta-Analysis: Evaluating Placebo Rates Across Outcomes in Eosinophilic Oesophagitis Randomised Controlled Trials.

High placebo responses have limited drug development in eosinophilic oesophagitis. The optimal configuration of trial outcomes is uncertain. To inform more efficient future trial designs, to characterise clinical, endoscopic and histologic placebo responses in eosinophilic oesophagitis randomised controlled trials (RCTs). We updated a Cochrane systematic review and meta-analysis, searching multiple databases to January 1, 2024, to identify placebo-controlled RCTs evaluating medical therapies for patients with eosinophilic oesophagitis. The primary outcome was the pooled proportion of study-defined clinical, endoscopic and histologic responders and remitters randomised to placebo, using an intention-to-treat approach and random-effects model. Sources of heterogeneity were explored using meta-regression. We included 25 RCTs. The pooled proportion of clinical response was 41.0% [95% CI: 29.7%-52.8%] with substantial heterogeneity (I2 = 74.9%). On meta-regression, older age and a higher probability of being randomised to placebo reduced the likelihood of clinical response to placebo. The pooled proportion of histologic remission defined as a peak eosinophil count [PEC] ≤ 6 eosinophils per high power field [HPF] or ≤ 1 eosinophil/HPF was 4.3% [95% CI: 2.6%-6.2%] (I2 = 23.6%) and 1.3% [95% CI: 0.5%-2.5%] (I2 = 0%), respectively. The standardised mean difference in the Eosinophilic Oesophagitis Endoscopic Reference Score to placebo was -0.25 [95% CI: -0.41, -0.10]. Over 40% of patients in eosinophilic oesophagitis trials respond clinically to placebo, and this is associated with trial design factors such as randomisation ratio and trial population. Objective endoscopic and histologic measures are associated with very low placebo responses.

Completion and reporting of COVID-19 clinical trials registered on ClinicalTrials.gov during the first 6 months of the pandemic: cohort study

BackgroundEarly in the COVID-19 pandemic, numerous clinical trials were initiated. Although concerns were raised regarding the quality of the trials, the eventual research output yielded from the trials remains unknown....