Understanding controlled trials: baseline imbalance in randomised controlled trials

Offering nurse care management for opioid use disorder in primary care: Impact on emergency and hospital utilization in a cluster-randomized implementation trial

BACKGROUND

Patients with opioid use disorder (OUD) have increased emergency and hospital utilization. The PROUD trial showed that implementation of office-based addiction treatment (OBAT) increased OUD medication treatment compared to usual care, but did not decrease acute care utilization in patients with OUD documented pre-randomization (clinicaltrials.gov/study/NCT03407638). This paper reports secondary emergency and hospital utilization outcomes in patients with documented OUD in the PROUD trial.

METHODS

This cluster-randomized implementation trial was conducted in 12 clinics from 6 diverse health systems (March 2015-February 2020). Patients who visited trial clinics and had an OUD diagnosis within 3 years pre-randomization were included in primary analyses; secondary analyses added patients with OUD who were new to the clinic or with newly-documented OUD post-randomization. Outcomes included days of emergency care and hospital utilization over 2 years post-randomization. Explanatory outcomes included measures of OUD treatment. Patient-level analyses used mixed-effect regression with clinic-specific random intercepts.

RESULTS

Among 1988 patients with documented OUD seen pre-randomization (mean age 49, 53 % female), days of emergency care or hospitalization did not differ between intervention and usual care; OUD treatment also did not differ. In secondary analyses among 1347 patients with OUD post-randomization, there remained no difference in emergency or hospital utilization despite intervention patients receiving 32.2 (95 % CI 4.7, 59.7) more days of OUD treatment relative to usual care.

CONCLUSIONS

Implementation of OBAT did not reduce emergency or hospital utilization among patients with OUD, even in the sample with OUD first documented post-randomization in whom the intervention increased treatment.

The clinical effectiveness of the Mind/Body Program for Infertility on wellbeing and assisted reproduction outcomes: a randomized controlled trial in search for active ingredients

STUDY QUESTION

Does the Mind/Body Program for Infertility (MBPI) perform better, due to certain distinctive elements, than a partly matched support group in improving the wellbeing and medically assisted reproduction (MAR) outcomes of women with elevated distress levels in a clinical setting?

SUMMARY ANSWER

While robust enhancements occurred in the wellbeing overall, the cognitive behavioural and formalized stress management elements of the MBPI allowed a significantly stronger improvement in trait anxiety, but not in other mental health and MAR outcomes, compared with a support group.

WHAT IS KNOWN ALREADY

Mind-body psychological programmes adjacent to MAR have been found to improve women's mental states and possibly increase chances of pregnancy. However, not enough is known about the programme's effectiveness among patients with elevated distress levels in routine clinical settings, nor is it clear which of its particular ingredients are specifically effective.

STUDY DESIGN, SIZE, DURATION

A pre-post design, single-centre, randomized controlled trial was performed between December 2019 and October 2022 (start and end of recruitment, respectively). The sample size (n = 168) was calculated to detect superiority of the MBPI in improving fertility-related quality of life. Randomization was computer-based, with random numbers concealing identities of patients until after allocation.

PARTICIPANTS/MATERIALS, SETTING, METHODS

The trial was conducted at a large university teaching hospital. A total of 168 patients were randomly assigned to the mind-body (MBPI) group (n = 84) and the fertility support (FS) control group (n = 84). Patients received a 10-week, 135-min/week group intervention, with the FS group following the same format as the MBPI group, but with a less restricted and systematic content, and without the presumed effective factors. The number of patients analysed was n = 74 (MBPI) and n = 68 (FS) for post-intervention psychological outcomes, and n = 54 (MBPI) and n = 56 (FS) for pregnancy outcomes at a 30-month follow-up.

MAIN RESULTS AND THE ROLE OF CHANCE

Significant improvements occurred in both groups in all psychological domains (adjusted P < 0.001), except for treatment-related quality of life. Linear mixed-model regression analysis did not reveal significantly greater pre-post improvements in the MBPI group than in the FS group in fertility-related quality of life (difference in differences (DD) = 4.11 [0.42, 7.80], d = 0.32, adjusted P = 0.124), treatment-related quality of life (DD = -3.08 [-7.72, 1.55], d = -0.20, adjusted P = 0.582), infertility-specific stress (DD = -2.54 [-4.68, 0.41], d = -0.36, adjusted P = 0.105), depression (DD = -1.16 [3.61, 1.29], d = -0.13, adjusted P = 0.708), and general stress (DD = -0.62 [-1.91, 0.68], d = -0.13, adjusted P = 0.708), but it did show a significantly larger improvement in trait anxiety (DD = -3.60 [-6.16, -1.04], d = -0.32, adjusted P = 0.042). Logistic regression showed no group effect on MAR pregnancies, spontaneous pregnancies, or live births.

LIMITATIONS, REASONS FOR CAUTION

The follow-up only covered MAR-related medical outcomes and no psychological variables, and their rates were not equal in the two groups. Biological factors other than age, aetiology, and duration of infertility may have confounded the study results. Loss to follow-up was between 5% and 10%, which may have led to some bias.

WIDER IMPLICATIONS OF THE FINDINGS

The psychologically and medically heterogeneous sample, the normal clinical setting and the low attrition rate all raise the external validity and generalizability of our study. The MBPI works not only in controlled conditions, but also in routine MAR practice, where it can be introduced as a cost-effective, low-intensity psychological intervention, within the framework of stepped care. More studies are needed to further identify its active ingredients.

STUDY FUNDING/COMPETING INTEREST(S)

The authors received no financial support for the research, authorship, and/or publication of this article. The authors have no conflict of interest to disclose.

TRIAL REGISTRATION NUMBER

ClinicalTrials.gov NCT04151485.

TRIAL REGISTRATION DATE

5 November 2019.

DATE OF FIRST PATIENT’S ENROLMENT

15 December 2019.

Quantitative assessment of baseline imbalances in evolocumab and alirocumab trials: a meta-epidemiological study

BACKGROUND

Baseline imbalances have been identified in randomized trials of evolocumab and alirocumab. Our aim was to quantitatively assess (1) the presence of systematic baseline differences, and (2) the relationship of baseline differences with effects on low-density lipoprotein-cholesterol (LDL-c) and clinical outcomes in the trials.

METHODS

We performed a meta-epidemiological study. PubMed, Embase, regulatory reports, ClinicalTrials.gov and company websites were searched for trials. Seven baseline characteristics (mean age, LDL-c, BMI, percentage males, diabetics, smokers, and hypertensives) and five outcomes (LDL-c, major adverse cardiac events, serious adverse events, any adverse events, all-cause mortality) were extracted. We calculated (1) range and distribution of baseline imbalances (sign-test), (2) pooled baseline differences and heterogeneity (meta-analysis), (3) differences in SDs around continuous variables (sign-test and pooling), and (4) the relationship of baseline differences with outcomes (meta-regression). The comparisons of PCSK9-inhibitor groups with either placebo or ezetimibe were analysed separately and combined.

RESULTS

We identified 43 trials with 63,193 participants. Baseline characteristics were frequently missing. Many trials showed small baseline imbalances, but some large imbalances. Only baseline BMI showed a statistically significant lower pooled mean for the drug versus placebo groups (MD -0.16; 95% CI -0.24 to -0.09). Heterogeneity in baseline imbalances was present in six placebo- and five ezetimibe-comparisons. Heterogeneity was statistically significant for BMI, males, diabetics and hypertensives in the combined comparisons. There was a statistically significant preponderance for larger SDs in the PCSK9-inhibitor versus control groups (sign-test age 0.014; LDL-c 0.014; BMI 0.049). Meta-regression showed clinically relevant relationships of baseline imbalances in age, BMI and diabetics with the risk of any adverse events and the risk of mortality. Two relationships were statistically significant: A higher mean BMI in the drug versus control group with a decreased risk of mortality (beta - 0.56; 95% CI -1.10 to -0.02), and a higher proportion of diabetics with an increased risk of any adverse events (beta 0.02; 95% 0.01 to 0.04).

CONCLUSIONS

Heterogeneous baseline imbalances and systematically different SDs were present in evolocumab and alirocumab trials, so study groups cannot be assumed to be comparable. These findings raise concerns about the design and conduct of the randomization procedures.

Simplifying Data Analysis in Biomedical Research: An Automated, User-Friendly Tool

Robust data normalization and analysis are pivotal in biomedical research to ensure that observed differences in populations are directly attributable to the target variable, rather than disparities between control and study groups. ArsHive addresses this challenge using advanced algorithms to normalize populations (e.g., control and study groups) and perform statistical evaluations between demographic, clinical, and other variables within biomedical datasets, resulting in more balanced and unbiased analyses. The tool's functionality extends to comprehensive data reporting, which elucidates the effects of data processing, while maintaining dataset integrity. Additionally, ArsHive is complemented by A.D.A. (Autonomous Digital Assistant), which employs OpenAI's GPT-4 model to assist researchers with inquiries, enhancing the decision-making process. In this proof-of-concept study, we tested ArsHive on three different datasets derived from proprietary data, demonstrating its effectiveness in managing complex clinical and therapeutic information and highlighting its versatility for diverse research fields.

Evaluating tests for cluster-randomized trials with few clusters under generalized linear mixed models with covariate adjustment: A simulation study

Generalized linear mixed models (GLMM) are commonly used to analyze clustered data, but when the number of clusters is small to moderate, standard statistical tests may produce elevated type I error rates. Small-sample corrections have been proposed for continuous or binary outcomes without covariate adjustment. However, appropriate tests to use for count outcomes or under covariate-adjusted models remains unknown. An important setting in which this issue arises is in cluster-randomized trials (CRTs). Because many CRTs have just a few clusters (eg, clinics or health systems), covariate adjustment is particularly critical to address potential chance imbalance and/or low power (eg, adjustment following stratified randomization or for the baseline value of the outcome). We conducted simulations to evaluate GLMM-based tests of the treatment effect that account for the small (10) or moderate (20) number of clusters under a parallel-group CRT setting across scenarios of covariate adjustment (including adjustment for one or more person-level or cluster-level covariates) for both binary and count outcomes. We find that when the intraclass correlation is non-negligible (≥ $$ \ge $$ 0.01) and the number of covariates is small (≤ $$ \le $$ 2), likelihood ratio tests with a between-within denominator degree of freedom have type I error rates close to the nominal level. When the number of covariates is moderate (≥ $$ \ge $$ 5), across our simulation scenarios, the relative performance of the tests varied considerably and no method performed uniformly well. Therefore, we recommend adjusting for no more than a few covariates and using likelihood ratio tests with a between-within denominator degree of freedom.

A Randomized Comparative Study of the Use of Individual Modality and Combination of Endoscopic Retrograde Cholangiopancreatography (ERCP) and Digital Single-Operator Cholangioscopy (DSOC) for Diagnosis of Indeterminate Biliary Strictures

Background

To determine the superiority of the combination of endoscopic retrograde cholangiopancreatography (ERCP) and digital single-operator cholangioscopy (DSOC) in the same sitting over the individual modality alone in patients with indeterminate biliary strictures.

Materials and Methods

A randomized study enrolled 60 adult patients with biliary strictures who were randomized into two groups: ERCP + DSOC and ERCP/DSOC. Histopathologic or cytologic assessment was performed in terms of benign, indeterminate, or malignant nature of the strictures. Procedural adverse events were documented. Accuracy in terms of sensitivity (Sn), specificity (Sp), and predictive value [positive (PPV) and negative (NPV)] were noted.

Results

As per final diagnosis, in ERCP/DSOC group, there were 12 (40%) benign cases and 18 (60%) malignant cases, and in group ERCP + DSOC, there were 8 (26.67%) benign cases and 22 (73.33%) malignant cases. ERCP/DSOC labeled 16 (53.33%) patients as benign, 8 (26.67%) as malignant, and 6 (20%) as indeterminate, while ERCP + DSOC labeled 8 (26.67%) as benign, 17 (56.67%) as malignant, and 5 (16.67%) as indeterminate. The Sn, Sp, PPV, and NPV of ERCP/DSOC were 44.4%, 75%, 100%, and 56.25%, and for ERCP + DSOC was 77.27%, 62.50%, 100%, and 62.5%, respectively (P = 0.033). Side effects were statistically similar in both the groups (P > 0.05).

Conclusion

To conclude, the combination of ERCP with DSOC is safe and effective with higher diagnostic sensitivity (77.27%) in comparison to standard ERCP or DSOC alone (44.4%) for the diagnosis of biliary strictures.

Progression-Free Survival Efficacy in Refractory/Relapsed Multiple Myeloma among Elderly Patients: A Systematic Review

BACKGROUND

Over the last decade, many studies have assessed the efficacy of treatments for refractory/relapsed multiple myeloma (R/R MM). While combination therapies show greater efficacy than traditional methods, limited research has targeted elderly patients who might be less resilient to treatments. Our study aimed to evaluate treatment efficacy for these elderly patients.

METHODS

We carried out a comprehensive review of the literature using a systematic approach. Initially, 4966 citations were retrieved and subsequently narrowed down to 13 eligible randomized controlled trials (RCTs) through our systematic review process from databases like Embase, PubMed, and Cochrane Library from 1 January 2000 to 31 December 2022. Evidence was collated through a frequentist network meta-analysis, using the hazard ratio (HR) for evaluation.

RESULTS

Combined therapy of daratumumab, lenalidomide, and dexamethasone (DaraLenDex) was the preferred treatment for R/R MM elderly patients. Its strengths included an HR for progression-free survival (0.15; 95% CI: 0.09-0.25) and a 96% P-score.

CONCLUSIONS

Our analysis suggests that, pending more comprehensive RCTs, DaraLenDex is the treatment with the highest efficacy for R/R MM in elderly patients.

The effect of immediate neoadjuvant electromotive instillation of mitomycin C with Bacillus Calmette-Guérin versus BCG alone in non-muscle-invasive bladder cancer: A randomized controlled trial

PURPOSE

The clinical effect of neoadjuvant intravesical instillation of chemotherapy immediately before transurethral resection of bladder tumors (TURBT) has been a subject of recent research. The aim of this study was to assess the effect of immediate neoadjuvant electromotive instillation of mitomycin C before transurethral resection for patients with non-muscle-invasive urothelial bladder cancer.

MATERIALS AND METHODS

Our study was a randomized clinical trial carried out on 50 patients diagnosed with non-muscle-invasive urothelial bladder cancer. Patients were classified into two groups: Group I consisted of 25 patients who received neoadjuvant electromotive drug administration of mitomycin C before TURBT and intravesical bacille Calmette-Guerin (BCG) per week for 6 weeks; Group II consisted of 25 patients who were treated with TURBT followed by intravesical BCG per week for 6 weeks alone (standard of care). Patients were followed up at 3, 6, 12, and 18 months by cystoscopy.

RESULTS

Patients who received neoadjuvant electromotive drug administration of mitomycin C before TURBT in combination with BCG had a low recurrence rate compared with those who received BCG alone (12.0% vs. 48.0%, respectively; p=0.012) and a longer disease-free interval (88.0% vs. 52.0%, respectively; p=0.012). Four patients developed progression to muscle-invasive disease (16.0%) in the BCG alone group. However, this difference was not statistically significant (p=0.516). Regarding adverse effects, there were no statistically significant differences between the groups.

CONCLUSIONS

Neoadjuvant intravesical electromotive drug administration of mitomycin C before TURBT is safe; reduces recurrence rates and enhances the disease-free interval compared with TURBT followed by BCG alone.

Prevalence and implications of significance testing for baseline covariate imbalance in randomised cancer clinical trials: The Table 1 Fallacy

BACKGROUND

The 'Table 1 Fallacy' refers to the unsound use of significance testing for comparing the distributions of baseline variables between randomised groups to draw erroneous conclusions about balance or imbalance. We performed a cross-sectional study of the Table 1 Fallacy in phase III oncology trials.

METHODS

From ClinicalTrials.gov, 1877 randomised trials were screened. Multivariable logistic regressions evaluated predictors of the Table 1 Fallacy.

RESULTS

A total of 765 randomised controlled trials involving 553,405 patients were analysed. The Table 1 Fallacy was observed in 25% of trials (188 of 765), with 3% of comparisons deemed significant (59 of 2353), approximating the typical 5% type I error assertion probability. Application of trial-level multiplicity corrections reduced the rate of significant findings to 0.3% (six of 2345 tests). Factors associated with lower odds of the Table 1 Fallacy included industry sponsorship (adjusted odds ratio [aOR] 0.29, 95% confidence interval [CI] 0.18-0.47; multiplicity-corrected P < 0.0001), larger trial size (≥795 versus <280 patients; aOR 0.32, 95% CI 0.19-0.53; multiplicity-corrected P = 0.0008), and publication in a European versus American journal (aOR 0.06, 95% CI 0.03-0.13; multiplicity-corrected P < 0.0001).

CONCLUSIONS

This study highlights the persistence of the Table 1 Fallacy in contemporary oncology randomised controlled trials, with one of every four trials testing for baseline differences after randomisation. Significance testing is a suboptimal method for identifying unsound randomisation procedures and may encourage misleading inferences. Journal-level enforcement is a possible strategy to help mitigate this fallacy.

Comparison of high-intensity interval training versus moderate-intensity continuous training in pulmonary rehabilitation for interstitial lung disease: a randomised controlled pilot feasibility trial

OBJECTIVES

This study aimed to investigate the feasibility and efficacy of high-intensity interval training (HIIT) compared with moderate-intensity continuous training (MICT) in pulmonary rehabilitation (PR) for people with interstitial lung disease (ILD).

DESIGN

Single-centre, randomised controlled feasibility, pilot trial.

SETTING

Patients were recruited from the chest clinic of a tertiary ILD centre and attended circuit-based PR in the hospital's gym, followed by a personalised 6-month community programme.

PARTICIPANTS

58 patients, stratified per ILD type, were randomised into two groups: 33 to HIIT (18 males:15 females) (mean age (SD): 70.2 (11.4) years) and 25 to the MICT exercise mode (14 males:11 females) (mean age (SD): 69.8 (10.8) years).

INTERVENTIONS

8-week, twice weekly, circuit-based PR programme of exercise and education, followed by a personalised 6-month community exercise programme.

OUTCOME MEASURES

Feasibility outcomes included staff-to-patient ratio and dropout rates per group. Primary outcome was the 6 min walk distance (6MWD). Secondary outcomes included the sniff nasal pressure, mouth inspiratory and expiratory pressures, handgrip and quadriceps strength and health status. Random-effects models were used to evaluate average variation in outcomes through time across the two groups.

RESULTS

The 6MWD peaked earlier with HIIT compared with MICT (at 4 months vs 5 months) but values were lower at peak (mean (95% CI): 26.3 m (3.5 to 49.1) vs 51.6 m (29.2 to 73.9)) and declined faster at 6 months post-PR. Secondary outcomes showed similar faster but smaller improvements with HIIT over MICT and more consistent maintenance 6 months post-PR with MICT than HIIT.

CONCLUSIONS

HIIT is feasible in circuit-based ILD PR programmes and provides quick improvements but requires closer supervision of training and resources than MICT and benefits may be less well sustained. This would make it a less attractive option for clinical PR programmes. A definitive, multicentre randomised controlled trial is required to address the role of HIIT in ILD.

TRIAL REGISTRATION NUMBER

ISRCTN55846300.

Types and progress of clinical trial design for breast cancer: a narrative review

Background and Objective

In recent years, the field of breast cancer diagnosis and therapy has witnessed rapid technological advances. Concurrently, the emergence of molecular biology and novel detection methodologies has facilitated the transition of breast cancer management into the precision medicine era. The primary objective of this review is to discuss the transformation in the research and development paradigm for breast cancer therapies and strategies.

Methods

We systematically searched PubMed, EMBASE and Cochrane databases for relevant studies published over the past 20 years using keywords including "breast cancer", "clinical trial", "seamless", "master protocol", "umbrella", "basket", "platform", and "precision medicine". Articles were screened for eligibility and key data extracted. The search was limited to English-language publications.

Key Content and Findings

The review identifies three core innovations in breast cancer trial methodology: (I) in terms of research speed, the traditional three-stage drug development models are being substituted by "seamless designs" as exemplified by the immunotherapy combination study NCT0328056. (II) Addressing research breadth, "master protocols" such as basket trials (IMMU-132-01), umbrella trials (FUTURE), and platform trials (I-SPY 2) have been introduced, allowing the simultaneous assessment of multiple treatments or disease subtypes within a singular framework. (III) Pertaining to research precision, newer designs utilize biomarkers such as "enrichment" (seen in EMBRACA and OlympiA trials) and "marker stratification" (as in the SOLAR-1 trial), enabling the identification of appropriate patient subgroups and the provision of tailored therapy strategies, a stark contrast to traditional histopathology-based evaluations.

Conclusions

Clinical trial design in breast cancer research has been revolutionized, moving towards more efficient and targeted strategies. Despite the presence of ethical, logistical, and data complexities, it is anticipated that ongoing technological and regulatory enhancements will pave the way for even more refined research approaches, subsequently influencing future research, clinical practices, and policymaking in breast cancer care.

Optimal Randomization Designs for Large Multicenter Clinical Trials: From the National Institutes of Health Stroke Trials Network Funded by National Institutes of Health/National Institute of Neurological Disorders and Stroke Experience

From 2016 to 2021, the National Institutes of Health Stroke Trials Network funded by National Institutes of Health/National Institute of Neurological Disorders and Stroke initiated ten multicenter randomized controlled clinical trials. Optimal subject randomization designs are demanded with 4 critical properties: (1) protection of treatment assignment randomness, (2) achievement of the desired treatment allocation ratio, (3) balancing of baseline covariates, and (4) ease of implementation. For acute stroke trials, it is necessary to minimize the time between eligibility assessment and treatment initiation. This article reviews the randomization designs for 3 trials currently enrolling in Stroke Trials Network funded by National Institutes of Health/National Institute of Neurological Disorders and Stroke, the SATURN (Statins in Intracerebral Hemorrhage Trial), the MOST (Multiarm Optimization of Stroke Thrombolysis Trial), and the FASTEST (Recombinant Factor VIIa for Hemorrhagic Stroke Trial). Randomization methods utilized in these trials include minimal sufficient balance, block urn design, big stick design, and step-forward randomization. Their advantages and limitations are reviewed and compared with traditional stratified permuted block design and minimization.

A Systematic Review of the Implementation and Effectiveness of 'The Daily Mile' on Markers of Children's Health

Currently, a high percentage of children globally fail to meet the World Health Organisation's (WHO) recommended daily physical activity (PA) guidelines. The Daily Mile (TDM) is a school-based PA initiative, designed to improve primary school children's PA behaviour. The purpose of this review was to evaluate the extant TDM implementation process and identify its impact on health-related metrics. Three databases were used to search for articles from the time TDM originated in 2012 until February 2022. The identification and screening process of articles for their ability to meet this review's eligibility criteria were facilitated by use of PRISMA and Rayyan. Sixteen articles from the initial search (n = 202) were deemed eligible for inclusion. An analysis of these articles identified five common outcome categories that permeated throughout the research articles: (1) cardiorespiratory fitness (CRF); (2) anthropometry and body composition; (3) PA; (4) cognition; and (5) process evaluation. Results presented from the included articles suggests TDM positively impacts markers of a variety of health-related metrics, namely CRF and PA. However, implementation barriers including TDM's repetitive nature, time constraints associated with competing curriculum demands and inadequate facilities regularly necessitate the adaptation and development of the original TDM format by schools and teachers.

A randomized controlled trial evaluating the short-term efficacy of a single-administration intramuscular injection with the fixed combination of thiocolchicoside-diclofenac versus diclofenac monotherapy in patients with acute moderate-to-severe low back pain

BACKGROUND

Non-specific acute low back pain (LBP) is a common health problem that may be accompanied by muscle spasm and decreased mobility. The combination of non-steroidal anti-inflammatory drugs and muscle relaxants represents an advantageous therapeutic option, however, available data on their combined use are conflicting. This prospective, randomized, single-blind, two-parallel-group trial assessed the efficacy of a single intramuscular (IM) injection of the fixed-dose combination (FDC) diclofenac (75 mg)-thiocolchicoside (4 mg/4 ml) product (test treatment) compared to diclofenac (75 mg/3 ml) alone (reference treatment) for the symptomatic relief of acute LBP. Tolerability and safety were also assessed as secondary variables.

METHODS

One hundred thirty-four patients were enrolled (safety population) and randomly allocated to the combination or single-agent regimen. Pain intensity and muscle spasm, assessed respectively by the patient-reported visual analogue scale and investigator-performed finger-to-floor distance test, were determined prior to the injection as well as 1 and 3 h post-injection in 123 patients (per-protocol population). The patients were blinded to treatment. Safety was assessed up to 24 h post-injection.

RESULTS

The test treatment was superior in both alleviating the pain intensity and reducing the finger-to-floor distance at both 1 (p < 0.01 and p = 0.023 respectively) and 3 h post-injection (p < 0.01). A higher percentage of patients experienced > 30% reduction in pain intensity at 1 and 3 h with the test treatment (p = 0.037 and p < 0.01 respectively). The corresponding VAS (SD) scores for the test treatment group were at baseline, 1 and 3 h post-injection 72.03 (± 11.72), 45.37 (± 16.28) and 31.56 (± 15.08) respectively and for the reference treatment group 65.20 (± 12.16), 48.98 (± 18.76) and 44.52 (± 17.33) respectively. No adverse effects were reported with the combination treatment, whereas two patients treated with diclofenac reported dizziness.

CONCLUSIONS

The FDC treatment is an effective and well-tolerated option for the symptomatic treatment of LBP. Clinical and patient-reported assessments confirmed that a single IM injection of FDC diclofenac-thiocolchicoside was more effective than diclofenac alone in conferring rapid and sustained improvement in mobility and pain intensity.

TRIAL REGISTRATION

EudraCT No: 2017-004530-29 Available at https://eudract.ema.europa.eu/ Registered 04 Dec 2017.

Adjustment for baseline characteristics in randomized trials using logistic regression: sample-based model versus true model

BACKGROUND

Adjustment for baseline prognostic factors in randomized clinical trials is usually performed by means of sample-based regression models. Sample-based models may be incorrect due to overfitting. To assess whether overfitting is a problem in practice, we used simulated data to examine the performance of the sample-based model in comparison to a "true" adjustment model, in terms of estimation of the treatment effect.

METHODS

We conducted a simulation study using samples drawn from a "population" in which both the treatment effect and the effect of the potential confounder were specified. The outcome variable was binary. Using logistic regression, we compared three estimates of the treatment effect in each situation: unadjusted, adjusted for the confounder using the sample, adjusted for the confounder using the true effect. Experimental factors were sample size (from 2 × 50 to 2 × 1000), treatment effect (logit of 0, 0.5, or 1.0), confounder type (continuous or binary), and confounder effect (logit of 0, - 0.5, or - 1.0). The assessment criteria for the estimated treatment effect were bias, variance, precision (proportion of estimates within 0.1 logit units), type 1 error, and power.

RESULTS

Sample-based adjustment models yielded more biased estimates of the treatment effect than adjustment models that used the true confounder effect but had similar variance, accuracy, power, and type 1 error rates. The simulation also confirmed the conservative bias of unadjusted analyses due to the non-collapsibility of the odds ratio, the smaller variance of unadjusted estimates, and the bias of the odds ratio away from the null hypothesis in small datasets.

CONCLUSIONS

Sample-based adjustment yields similar results to exact adjustment in estimating the treatment effect. Sample-based adjustment is preferable to no adjustment.

Minimizing Opioid Use After Total Hip Arthroplasty: Comparing Periarticular Injection Versus Patient-Controlled Epidural Analgesia Versus a Combination Protocol

BACKGROUND

Effective management of postoperative pain after total hip arthroplasty (THA) may be challenging. We sought to develop an opioid-sparing pain management pathway by comparing the relative effectiveness of 3 different protocols: (1) Local anesthetic administered patient-controlled epidural analgesia (PCEA) without intrathecal opioids; (2) Periarticular injection (PAI); and (3) PCEA + PAI.

METHODS

In this double-blinded randomized controlled trial, 180 patients undergoing THA were randomized to receive either (1) PCEA with 0.06% bupivacaine, (2) PAI, or (3) a PAI + PCEA with 0.06% bupivacaine. All patients received the same postoperative multimodal analgesic regimen. The primary outcome was opioid consumption, measured in oral morphine equivalents, at 24, 48, and 72 hours after anesthesia stop time. Secondary measures included pain at rest and with movement, opioid side effects, patient satisfaction, and quality of recovery, as assessed via standardized self-reporting scales and surveys.

RESULTS

Opioid consumption was significantly higher in the PAI group in the first 24 hours postoperatively compared to the PAI + PCEA group (30 versus 15, P = .012). No differences were detected among groups for length of stay, pain scores, patient satisfaction, or duration of surgery. More patients in the PAI + PCEA group were opiate-free in the first 24 hours compared to PAI (23.7 versus 8.5%, P = .043).

CONCLUSION

Use of PAI + PCEA regimen was opioid-sparing in the first 24 hours after surgery, favoring this group when opioid reduction is desired. Increased drowsiness was noted in the subsequent 24 to 48 hours once the epidural catheter was removed and opioid consumption also increased.

Cost effectiveness of virtual reality game compared to clinic based McKenzie extension therapy for chronic non-specific low back pain

BACKGROUND

Low-back pain (LBP) is a major public health problem globally and its direct and indirect healthcare costs are growing rapidly. Virtual reality involving the use of video games or non-game applications are alternatives to conventional face-to-face physical therapy for LBP. The purpose of this study was to assess the cost-effectiveness of Back Extension-Virtual Reality Game (BE-VRG) compared to Clinic-based McKenzie therapy (CBMT) for chronic non-specific LBP in Nigeria.

METHODS

Patients with chronic non-specific LBP were randomised into either BE-VRG or CBMT group. Patients' level of disability was assessed using Oswestry Disability Index (ODI) at week 4 and week 8. ODI was mapped to SF-6D to generate quality adjusted life years (QALYs) used for cost-effectiveness analysis. Resource use and costs were assessed based on rehabilitation services from a healthcare perspective. Cost-effectiveness analysis which included direct healthcare costs was conducted. Incremental cost per QALY was also calculated.

RESULTS

Forty-six patients (BE-VRG, n = 22; CBMT, n = 24) with the mean (±SD) age of 32.6 ± (11.5) years for BE-VRG and 48.8 ± (10.2) years for CBMT intervention completed in this study. The mean direct health costs per patient were USD100.67 and USD106.3 for BE-VRG and CBMT, respectively. The mean quality adjusted life years at week 4 and week 8 were (BE-VRG, 0.0574 ± (0.002); CBMT, 0.0548 ± (0.002)); and (BE-VRG; 0.116 ± (0.002); CBMT; 0.114 ± (0.004)), respectively. Incremental cost-effectiveness ratio showed that BE-VRG arm was less costly and more effective than CBMT.

CONCLUSION

The findings of this study suggest that BE-VRG was cost saving for chronic non-specific LBP compared to CBMT. This evidence could guide policy makers, payers and clinicians in evaluating BE-VRG as a treatment option for people with chronic non-specific LBP.

Application of Machine Learning to Ranking Predictors of Anti-VEGF Response

Age-related macular degeneration (AMD) is a heterogeneous disease affecting the macula of individuals and is a cause of irreversible vision loss. Patients with neovascular AMD (nAMD) are candidates for the anti-vascular endothelial growth factor (anti-VEGF) treatment, designed to regress the growth of abnormal blood vessels in the eye. Some patients fail to maintain vision despite treatment. This study aimed to develop a prediction model based on features weighted in order of importance with respect to their impact on visual acuity (VA). Evaluations included an assessment of clinical, lifestyle, and demographic factors from patients that were treated over a period of two years. The methods included mixed-effects and relative importance modelling, and models were tested against model selection criteria, diagnostic and assumption checks, and forecasting errors. The most important predictors of an anti-VEGF response were the baseline VA of the treated eye, the time (in weeks), treatment quantity, and the treated eye. The model also ranked the impact of other variables, such as intra-retinal fluid, haemorrhage, pigment epithelium detachment, treatment drug, baseline VA of the untreated eye, and various lifestyle and demographic factors. The results identified variables that could be targeted for further investigation in support of personalised treatments based on patient data.

Clinical trial design in the era of precision medicine

Recent rapid biotechnological breakthroughs have led to the identification of complex and unique molecular features that drive malignancies. Precision medicine has exploited next-generation sequencing and matched targeted therapy/immunotherapy deployment to successfully transform the outlook for several fatal cancers. Tumor and liquid biopsy genomic profiling and transcriptomic, immunomic, and proteomic interrogation can now all be leveraged to optimize therapy. Multiple new trial designs, including basket and umbrella trials, master platform trials, and N-of-1 patient-centric studies, are beginning to supplant standard phase I, II, and III protocols, allowing for accelerated drug evaluation and approval and molecular-based individualized treatment. Furthermore, real-world data, as well as exploitation of digital apps and structured observational registries, and the utilization of machine learning and/or artificial intelligence, may further accelerate knowledge acquisition. Overall, clinical trials have evolved, shifting from tumor type-centered to gene-directed and histology-agnostic trials, with innovative adaptive designs and personalized combination treatment strategies tailored to individual biomarker profiles. Some, but not all, novel trials now demonstrate that matched therapy correlates with superior outcomes compared to non-matched therapy across tumor types and in specific cancers. To further improve the precision medicine paradigm, the strategy of matching drugs to patients based on molecular features should be implemented earlier in the disease course, and cancers should have comprehensive multi-omic (genomics, transcriptomics, proteomics, immunomic) tumor profiling. To overcome cancer complexity, moving from drug-centric to patient-centric individualized combination therapy is critical. This review focuses on the design, advantages, limitations, and challenges of a spectrum of clinical trial designs in the era of precision oncology.

The effects of a short-term perioperative duloxetine treatment on post-colectomy pain: A randomized, controlled clinical trial

STUDY OBJECTIVE

To test the hypothesis that duloxetine reduces postoperative morphine consumption and pain intensity in patients undergoing major colonic surgeries.

DESIGN

Single-center, prospective, double-blinded, randomized, controlled trial.

SETTING

Tertiary university hospital, from December 2019 to September 2021.

PATIENTS

Sixty 18-85 years old, ASA I - III patients undergoing elective open major colonic surgeries were randomly allocated into duloxetine (duloxetine) or placebo (placebo) groups (n = 30 per group).

INTERVENTIONS

Duloxetine 60 mg or placebo was administered orally 2 h before and 24 h after surgery.

MEASUREMENTS

PCA morphine consumption, surgical pain at rest, and movement measured on 10-cm visual analog scales (VAS), Ramsay sedation scores, and the incidence of adverse effects potentially associated with duloxetine were assessed at patients' admission to the post-anesthesia care unit (PACU), 6, 24, and 48 h postoperatively (PO).

MAIN RESULTS

After adjusting for age, BMI, ASA physical status, education level, and incision type, no differences were found between groups in PCA morphine consumption 24 PO h (duloxetine = 5.44 ± 2.06 mg; placebo = 10.33 ± 2.06 mg, p = 0.62) or 48 h PO (duloxetine = 9.18 ± 2.06 mg, placebo = 12.93 ± 2.06, p = 1). Pain at rest also did not differ between groups at 24 h PO (duloxetine = 1.76 ± 0.67 cm; placebo = 1 ± 0.67 cm, p = 1) or at 48 h PO (duloxetine = 0.84 ± 0.67 cm; placebo = 0.49 ± 0.67 cm, p = 1). Similarly, groups did not differ regarding pain on movement at 24 h PO (duloxetine = 2.09 ± 0.68 cm; placebo = 1.80 ± 0.68, p = 1) or at 48 h PO (duloxetine = 1.16 ± 0.68 cm; placebo = 0.88 ± 0.68 cm, p = 1). Sedation scores and adverse effects also did not differ between groups.

CONCLUSION

Under this study's conditions, short-term duloxetine did not reduce total opioid consumption or pain intensity during the initial 48 h following major colon surgery.

Defining core patient descriptors for perforated peptic ulcer research: international Delphi

BACKGROUND

Perforated peptic ulcer (PPU) remains a common condition globally with significant morbidity and mortality. Previous work has demonstrated variation in reporting of patient characteristics in PPU studies, making comparison of studies and outcomes difficult. The aim of this study was to standardize the reporting of patient characteristics, by creating a core descriptor set (CDS) of important descriptors that should be consistently reported in PPU research.

METHODS

Candidate descriptors were identified through systematic review and stakeholder proposals. An international Delphi exercise involving three survey rounds was undertaken to obtain consensus on key patient characteristics for future research. Participants rated items on a scale of 1-9 with respect to their importance. Items meeting a predetermined threshold (rated 7-9 by over 70 per cent of stakeholders) were included in the final set and ratified at a consensus meeting. Feedback was provided between rounds to allow refinement of ratings.

RESULTS

Some 116 clinicians were recruited from 29 countries. A total of 63 descriptors were longlisted from the literature, and 27 were proposed by stakeholders. After three survey rounds and a consensus meeting, 27 descriptors were included in the CDS. These covered demographic variables and co-morbidities, risk factors for PPU, presentation and pathway factors, need for organ support, biochemical parameters, prognostic tools, perforation details, and surgical history.

CONCLUSION

This study defines the core descriptive items for PPU research, which will allow more robust synthesis of studies.

Homeopathy for COVID-19 in primary care: A randomized, double-blind, placebo-controlled trial (COVID-Simile study)

Background

Different homeopathic approaches have been used as supportive care for coronavirus disease 2019 (COVID-19) cases, but none has been tested in a clinical trial.

Objectives

To investigate the effectiveness and safety of the homeopathic medicine, Natrum muriaticum LM2, for mild cases of COVID-19.

Design, setting, participants, and interventions

A randomized, double-blind, two‐armed, parallel, single-center, placebo-controlled clinical trial was conducted from June 2020 to April 2021 in São-Carlos, Brazil. Participants aged > 18 years, with influenza-like symptoms and positive result from a real-time polymerase chain reaction test for severe acute respiratory syndrome coronavirus 2 were recruited and randomized (1:1) into two groups that received different treatments during a period of at-home-isolation. One group received the homeopathic medicine Natrum muriaticum, prepared with the second degree of the fifty-millesimal dynamization (LM2; Natrum muriaticum LM2), while the other group received a placebo.

Outcome measures

The primary endpoint was time until recovery from COVID-19 influenza-like symptoms. Secondary measures included a survival analysis of the number and severity of COVID-19 symptoms (influenza-like symptoms plus anosmia and ageusia) from a symptom grading scale that was informed by the participant, hospital admissions, and adverse events. Kaplan-Meier curves were used to estimate time-to-event (survival) measures.

Results

Data from 86 participants were analyzed (homeopathy, n = 42; placebo, n = 44). There was no difference in time to recovery between two groups among participants who were reporting influenza-like symptoms at the beginning of monitoring (homeopathy, n = 41; placebo, n = 41; P = 0.56), nor in a sub-group that had at least 5 moderate to severe influenza-like symptoms at the beginning of monitoring (homeopathy, n = 15; placebo, n = 17; P = 0.06). Secondary outcomes indicated that a 50% reduction in symptom score was achieved significantly earlier in the homeopathy group (homeopathy, n = 24; placebo, n = 25; P = 0.04), among the participants with a basal symptom score ≥ 5. Moreover, values of restricted mean survival time indicated that patients receiving homeopathy might have improved 0.9 days faster during the first five days of follow-up (P = 0.022). Hospitalization rates were 2.4% in the homeopathy group and 6.8% in the placebo group (P = 0.62). Participants reported 3 adverse events in the homeopathy group and 6 in the placebo group.

Conclusion

Results showed that Natrum muriaticum LM2 was safe to use for COVID-19, but there was no statistically significant difference in the primary endpoints of Natrum muriaticum LM2 and placebo for mild COVID-19 cases. Although some secondary measures do not support the null hypothesis, the wide confidence intervals suggest that further studies with larger sample sizes and more symptomatic participants are needed to test the effectiveness of homeopathic Natrum muriaticum LM2 for COVID-19.

Trial registration

UMIN Clinical Trials Registry ID: JPRN-UMIN000040602.

Effect of intensive weekend mindfulness-based intervention on BDNF, mitochondria function, and anxiety. A randomized, crossover clinical trial

Background

The previous metanalysis found that Mind-body intervention (MBI) improves neuropsychologic well-being and may increase brain-derived growth factor (BDNF). BDNF is a neurotrophic factor related to neuroplasticity.

Objective

To evaluate the effect of the short intensive MBI compared to control-relaxation on Site on BDNF and examine if this change is related to mitochondria function or stress-related neurohormonal activity.

Methods

Randomized, controlled, two-period cross-over trial conducted in a medical center in Thailand. Healthy-meditation naive Nurse and Occupational Therapy Students, 23 assigned randomly to MBI, and 24 relaxations at the site for 8 h during the weekend. The wash-out period was three months between the two periods. All volunteers took the blood test for BDNF, mitochondrial oxidative phosphorylation (OXPHOS), Cortisol, and Heart rate variability (HRV) measurement before and Visual Analogue Scale for Anxiety (VAS-A), forward and backward digit span after each period.

Results

A total of 40 participants finished the trials. The cross over trial analysis showed a significant treatment effect between MBI and Relaxation on-site for the mean VAS-A as 9.89 (95% CI 4.81 to 19.47; P = 0.001), serum BDNF as 1.24 (95% CI 0.16 to 2.32; P = 0.04), and OXPHOS complex-1 was decreased 0.41 (95% CI 0.03–0.29 p = 0.03). There were no significant differences for digit span, cortisol, and HRV.

Conclusion

In healthy meditation naïve females, even a short period of MBI may increase serum BDNF and reduce anxiety more than relaxation on-site. The more reduction of OXPHOS complex-1 in the mindfulness group suggests oxidative stress may be a more sensitive indicator than stress-related neurohormonal activity.

•

The effects of a short, intensive mindfulness session are scarce.

•

Brain-derived growth factor (BDNF) is impacted by mindfulness-based intervention.

•

The results indicate that mindfulness practice increased BDNF.

•

This can be applied to the promotion of women's health.

Urate-lowering therapy for CKD patients with asymptomatic hyperuricemia without proteinuria elucidated by attribute-based research in the FEATHER Study

Attribute-based medicine is essential for patient-centered medicine. To date, the groups of patients with chronic kidney disease (CKD) requiring urate-lowering therapy are clinically unknown. Herein, we evaluated the efficacy of febuxostat using a cross-classification, attribute-based research approach. We performed post hoc analysis of multicenter, randomized, double-blind, placebo-controlled trial data for 395 patients with stage 3 CKD and asymptomatic hyperuricemia. Participants were divided into febuxostat or placebo groups and subcohorts stratified and cross-classified by proteinuria and serum creatinine concentrations. In patients stratified based on proteinuria, the mean eGFR slopes were significantly higher in the febuxostat group than in the placebo group (P = 0.007) in the subcohort without proteinuria. The interaction between febuxostat treatment and presence of proteinuria in terms of eGFR slope was significant (P for interaction = 0.019). When cross-classified by the presence of proteinuria and serum creatinine level, the mean eGFR slopes significantly differed between the febuxostat and placebo groups (P = 0.040) in cross-classified subcohorts without proteinuria and with serum creatinine level ≥ median, but not in the cross-classified subcohorts with proteinuria and serum creatinine level < median. Febuxostat mitigated the decline in kidney function among stage 3 CKD patients with asymptomatic hyperuricemia without proteinuria.

Common scale minimal sufficient balance: An improved method for covariate-adaptive randomization based on the Wilcoxon-Mann-Whitney odds ratio statistic

Minimal sufficient balance (MSB) is a recently suggested method for adaptively controlling covariate imbalance in randomized controlled trials in a manner which reduces the impact on randomness of allocation over other approaches by only intervening when the imbalance is sufficiently significant. Despite its improvements, the approach is unable to consider the relative clinical importance or magnitude of imbalance in each covariate weight, and ignores any imbalance which is not statistically significant, even when these imbalances may collectively justify intervention. We propose the common scale MSB (CS‐MSB) method which addresses these limitations, and present simulation studies comparing our proposed method to MSB. We demonstrate that CS‐MSB requires less intervention than MSB to achieve the same level of covariate balance, and does not adversely impact either statistical power or Type‐I error.

A comparison of augmented feedback and didactic training approaches to reduce spine motion during occupational lifting tasks

Manual handling training may be improved if it relied on the provision of individualized, augmented feedback about key movement features. The purpose of this study was to compare the reduction in sagittal spine motion during manual lifting tasks following two training approaches: didactic (DID) and augmented feedback (AUG). Untrained participants (n = 26) completed lifting tests (box, medication bag, and paramedic backboard) and a randomly-assigned intervention involving 50 practice box lifts. Lifting tests were performed immediately before and after training, and one-week after interventions. Both groups exhibited reductions in spine motions immediately and one-week after the interventions. However, the AUG intervention group elicited significantly greater reductions in 5 of 12 between-group comparisons (3 tasks × 4 spine motion variables). The results of the current study support the use of augmented feedback-based approaches to manual handling training over education-based approaches.

Comparative effectiveness of oral dexamethasone vs. oral prednisolone for acute exacerbation of asthma: A randomized control trial

Background:

Acute exacerbation of asthma is a common condition leading to emergency visits. Prednisolone is a commonly prescribed drug in the standard management of acute exacerbation of asthma along with other drugs. This study was planned to see the efficacy of oral dexamethasone when compared with oral prednisolone in the management of acute exacerbation of asthma.

Methods:

A single-center pilot study in the form of randomized control trial was done by recruiting children aged 2–14 years diagnosed with acute asthma exacerbation with mild to moderate severity. A total of 88 patients received oral dexamethasone (0.3 mg/kg) in two doses 24 h apart, which was compared with 87 patients who received oral prednisolone (1 mg/kg) in two divided doses 12 h apart for 5 days. The patients were assessed at the time of admission (zero hour), at 4^th hour, and on the 5^th day by various parameters such as respiratory rate, use of accessory muscles, Pediatric Respiratory Assessment Measure (PRAM) score, peak expiratory flow rate (PEFR), 6-h admission stay, and rate of hospital admission.

Results:

Baseline demographic profile, clinical characteristics, comorbidities, indoor pollution, and use of Metered Dose Inhaler (MDI) among the two study groups were comparable. Six-hour emergency stay and rate of admission were significantly lower in the dexamethasone group (P < 0.05). Improvement in PRAM score, PEFR, use of accessory muscles, and respiratory rate was also better in dexamethasone group at the 4^th hour and 5^th day (P < 0.05). In addition, oral dexamethasone was shown to have less incidence of vomiting/gastritis than prednisolone (P < 0.05).

Conclusion:

Oral dexamethasone can be considered a reliable and better option as compared with prednisolone due to its faster action and minimal side effects.

The association of cultural and contextual factors with social contact avoidance during the COVID-19 pandemic

As a first line of defense to the COVID-19 pandemic in 2020, people reduced social contacts to avoid pathogen exposure. Using a panel of countries, this research suggests that this was amplified in societies characterized by high social support and future orientation. People reacted more strongly in dense environments; government orders had more effect in high power distance societies. Conversely, a focus on accomplishments was associated with lower changes. Understanding people’s actual behaviors in response to health threats across societies is of great importance for epidemiology, public health, international business, and for the functioning of humanity as a whole.

Clarifying selection bias in cluster randomized trials

BACKGROUND

In cluster randomized trials, patients are typically recruited after clusters are randomized, and the recruiters and patients may not be blinded to the assignment. This often leads to differential recruitment and consequently systematic differences in baseline characteristics of the recruited patients between intervention and control arms, inducing post-randomization selection bias. We aim to rigorously define causal estimands in the presence of selection bias. We elucidate the conditions under which standard covariate adjustment methods can validly estimate these estimands. We further discuss the additional data and assumptions necessary for estimating causal effects when such conditions are not met.

METHODS

Adopting the principal stratification framework in causal inference, we clarify there are two average treatment effect (ATE) estimands in cluster randomized trials: one for the overall population and one for the recruited population. We derive analytical formula of the two estimands in terms of principal-stratum-specific causal effects. Furthermore, using simulation studies, we assess the empirical performance of the multivariable regression adjustment method under different data generating processes leading to selection bias.

RESULTS

When treatment effects are heterogeneous across principal strata, the average treatment effect on the overall population generally differs from the average treatment effect on the recruited population. A naïve intention-to-treat analysis of the recruited sample leads to biased estimates of both average treatment effects. In the presence of post-randomization selection and without additional data on the non-recruited subjects, the average treatment effect on the recruited population is estimable only when the treatment effects are homogeneous between principal strata, and the average treatment effect on the overall population is generally not estimable. The extent to which covariate adjustment can remove selection bias depends on the degree of effect heterogeneity across principal strata.

CONCLUSION

There is a need and opportunity to improve the analysis of cluster randomized trials that are subject to post-randomization selection bias. For studies prone to selection bias, it is important to explicitly specify the target population that the causal estimands are defined on and adopt design and estimation strategies accordingly. To draw valid inferences about treatment effects, investigators should (1) assess the possibility of heterogeneous treatment effects, and (2) consider collecting data on covariates that are predictive of the recruitment process, and on the non-recruited population from external sources such as electronic health records.

Development and validation of Yoga Module for Anger Management in adolescents

BACKGROUND

Development of anger management programs and in particular, yoga module for anger management has not been well researched. Being a complex emotion, anger poses serious challenges in developing a comprehensive anger management program. While various theories of anger are dealt in modern psychology, several anger management techniques are set forth in Indian traditional texts. Yoga, which is considered as a holistic and integrated approach is explored in this study to develop and validate a school-based yoga program for anger management in adolescence.

MATERIALS AND METHODS

Integrated Approach to Yoga Therapy (IAYT) principles and literary review formed the basis for deriving the concepts of anger management. The methodology includes construction of the yoga module, validation of the module by 22 experts followed by a pilot non-randomised control study (n-50) to assess feasibility and initial effectiveness. Content Validity Ratio (CVR) and paired t-test were employed to analyse the experts' rating and pilot-study data respectively.

RESULTS

Emergence of IAYT based yoga program for anger management. Based on CVR ratio, 16 out of 18 yogic techniques qualified for the final module. The pilot study revealed viability of the module and its recognition as an anger management program. Significant reduction of anger scores in yoga group substantiates initial effectiveness of the module.

CONCLUSION

The developed and validated yoga module for anger management is recognised as a well-accepted and effective yoga program for anger management in adolescents.

A systematic review of general practice-based pharmacists' services to optimize medicines management in older people with multimorbidity and polypharmacy

BACKGROUND

Few studies have evaluated roles of general practice-based pharmacists (PBPs), particularly in optimizing medicines management for older people with both multimorbidity and polypharmacy.

OBJECTIVE

To explore the types and effectiveness of services provided by PBPs, either alone or in collaboration with other primary health care professionals, that sought to optimize medicines management for older people with multimorbidity and polypharmacy.

METHODS

Eight electronic databases and three trial registries were searched for studies published in English until April 2020. Inclusion criteria were randomized controlled trials, non-randomized controlled trials and controlled before-and-after studies of services delivered by PBPs in primary care/general practice, for patients aged ≥65 years with both multimorbidity and polypharmacy that focused on a number of outcomes. The Cochrane risk of bias tool for randomized trials (RoB 1) and the Risk of Bias in Non-randomized Studies-of Interventions (ROBINS-I) assessment tool were used for quality assessment. A narrative synthesis was conducted due to study heterogeneity.

RESULTS

Seven studies met inclusion criteria. All included studies employed PBP-led medication review accompanied by recommendations agreed and implemented by general practitioners. Other patient-level and practice-level interventions were described in one study. The limited available evidence suggested that PBPs, in collaboration with other practice team members, had mixed effects on outcomes focused on optimizing medicines management for older people. Most included studies were of poor quality and data to estimate the risk of bias were often missing.

CONCLUSION

Future high-quality studies are needed to test the effects of PBP interventions on a well-defined range of medicines management-related outcomes.

Effects of a nurse-led eHealth cardiac rehabilitation programme on health outcomes of patients with coronary heart disease: A randomised controlled trial

BACKGROUND

The uptake of and adherence to cardiac rehabilitation remain suboptimal despite its apparent health benefits in modifying risk factors and slowing disease progression. eHealth refers to the use of information and communication technologies for health-related purposes. It is a promising approach for improving participation in cardiac rehabilitation by enabling instant contact, hypermedia information delivery, technology-monitored functionalities and individualised progress monitoring.

AIMS

To evaluate the effects of a nurse-led eHealth cardiac rehabilitation (NeCR) system on health behaviours, cardiac self-efficacy, anxiety and depression, health-related quality of life, risk parameters and unplanned use of care services for people with coronary heart disease.

DESIGN

A single-blinded randomised controlled trial design was used.

METHODS

The study randomly assigned 146 patients hospitalised for coronary heart disease to receive either the NeCR intervention or the usual care. Underpinned by social cognitive theory, the intervention commenced before hospital discharge with an in-person session by the nurse to identify individualised self-care needs, set goals and develop an action plan to enhance behavioural risk factor modification and orientate the patient to the use of the information and communication technology platform for cardiac rehabilitation. After discharge, the e-platform helped patients gain knowledge of disease management and monitor goal attainment for health behavioural changes. The nurse provided feedback on the patients' goal attainment and lifestyle modifications on a weekly basis in a small group format through the WeChat platform, thus also mobilising peer influence. Data for lifestyle behaviours, physiological risk parameters and clinical outcomes were collected at baseline and at 6 and 12 weeks post-intervention.

RESULTS

At 6 weeks post-intervention, participants in the intervention group showed significant improvement in the number of steps/day (β = 2628.48, p = .022), the number of minutes/week sitting (β = -640.30, p = .006) and their health-promoting lifestyle profile (β = 25.17, p < .001) compared with the control group. Improvements in the number of steps/day (β = 2520.00, p = .006), the number of minutes/week sitting (β = -719.73, p = .004) and health-promoting lifestyle (β = 16.09, p < .001) were sustained until the 12-week post-intervention endpoint. Moreover, participants showed significantly greater improvement in self-efficacy (β = 0.61, p = .005) and health-related quality of life (mean difference = 0.56, p < .001) than the control group at the study endpoint.

CONCLUSIONS

The findings of this study demonstrate the effectiveness of the NeCR intervention in modifying behavioural risk factors and improving health-related quality of life. These findings also provide insights into the application of eHealth nursing interventions to enhance the rehabilitation of patients with coronary heart disease.

TRIAL REGISTRATION

ChiCTR1800020411.

When randomisation is not good enough: Matching groups in intervention studies

Randomised assignment of individuals to treatment and controls groups is often considered the gold standard to draw valid conclusions about the efficacy of an intervention. In practice, randomisation can lead to accidental differences due to chance. Researchers have offered alternatives to reduce such differences, but these methods are not used frequently due to the requirement of advanced statistical methods. Here, we recommend a simple assignment procedure based on variance minimisation (VM), which assigns incoming participants automatically to the condition that minimises differences between groups in relevant measures. As an example of its application in the research context, we simulated an intervention study whereby a researcher used the VM procedure on a covariate to assign participants to a control and intervention group rather than controlling for the covariate at the analysis stage. Among other features of the simulated study, such as effect size and sample size, we manipulated the correlation between the matching covariate and the outcome variable and the presence of imbalance between groups in the covariate. Our results highlighted the advantages of VM over prevalent random assignment procedure in terms of reducing the Type I error rate and providing accurate estimates of the effect of the group on the outcome variable. The VM procedure is valuable in situations whereby the intervention to an individual begins before the recruitment of the entire sample size is completed. We provide an Excel spreadsheet, as well as scripts in R, MATLAB, and Python to ease and foster the implementation of the VM procedure.

Bromelain-based enzymatic debridement of chronic wounds: Results of a multicentre randomized controlled trial

Chronic wounds are estimated to affect over 6 million people annually in the United States with an estimated annual cost of $25 billion. Debridement represents a key step in their management and is considered a basic necessity to induce the functional process of tissue repair. However, there is an unmet need for an efficient rapid acting non-surgical debridement agent. Bromelain-based enzymatic debridement has been proven to provide an effective, selective and safe non-surgical debridement in deep burns. EscharEx (MediWound Ltd, Yavne, Israel), is a bromelain-based enzymatic debridement agent currently in development for chronic wounds. The aim of this study was to assess its safety and efficacy in chronic wounds. Seventy-three patients suffering from a lower extremity ulcer of diabetic/venous insufficiency/post-surgical/traumatic aetiology were enrolled in a multicentre, assessor blinded, randomized controlled trial. Patients were randomized to topical treatment by either EscharEx or its gel vehicle for up to 10 daily 4 hour applications, and then continued follow-up for up to 6 months. The EscharEx arm achieved a significantly higher incidence of complete debridement compared to the gel vehicle arm; 55 versus 29% (p = .047), thus meeting the primary endpoint of this study. The EscharEx and gel vehicle arms achieved similar reductions in wound area, non-viable tissue area and wound healing scores during the debridement period. There were no significant differences between the arms in the incidence of complete wound closure (41% in the EsxcharEx arm vs. 53% in the gel vehicle arm) and in the mean time to complete wound closure (70.0 ± 32.8 days in the EsxcharEx arm vs. 65.7 ± 38.4 days in gel vehicle arm). There were no significant safety issues and EscharEx demonstrated a favourable benefit to risk profile.

Prostate Cancer Biomarkers: From diagnosis to prognosis and precision-guided therapeutics

Prostate cancer (PCa) is one of the most commonly diagnosed malignancies and among the leading causes of cancer-related death worldwide. It is a highly heterogeneous disease, ranging from remarkably slow progression or inertia to highly aggressive and fatal disease. As therapeutic decision-making, clinical trial design and outcome highly depend on the appropriate stratification of patients to risk groups, it is imperative to differentiate between benign versus more aggressive states. The incorporation of clinically valuable prognostic and predictive biomarkers is also potentially amenable in this process, in the timely prevention of metastatic disease and in the decision for therapy selection. This review summarizes the progress that has so far been made in the identification of the genomic events that can be used for the classification, prediction and prognostication of PCa, and as major targets for clinical intervention. We include an extensive list of emerging biomarkers for which there is enough preclinical evidence to suggest that they may constitute crucial targets for achieving significant advances in the management of the disease. Finally, we highlight the main challenges that are associated with the identification of clinically significant PCa biomarkers and recommend possible ways to overcome such limitations.

The Efficacy and Adverse Events in Patients with Head and Neck Cancer Following Radiotherapy Combined with S-1 Therapy: A Meta-Analysis

This meta-analysis was conducted to assess the efficacy and adverse events associated with S-1 chemotherapy combined with radiotherapy for patients with head and neck cancer. The PubMed, Embase, and Cochrane Library databases were searched up to 10 February 2021. Eligible studies included clinical trials using S-1 chemotherapy combined with radiotherapy for head and neck cancer patients that measured tumor response, local control rate, overall survival, and grade 3/4 adverse events. A meta-analysis was performed using a random effects model. Twelve trials involving 378 patients met the selection criteria. The objective response and clinical benefit rate (complete/partial response and stable disease) of S-1 chemotherapy with radiotherapy were 86.3% (95% confidence interval (CI), 60.3-96.3) and 88.3% (95% CI, 70.1-96.1), respectively. The median 3-year local control rate, 3-year overall survival rate, and grade 3/4 adverse event rate were 84.0% (95% CI, 71.4-91.7), 69.6% (95% CI, 54.9-81.1), and 42.0% (95% CI, 36.2-48.0), respectively. S-1 combined with radiotherapy for patients with head and neck squamous cell carcinoma results in a good tumor response, favorable survival rate, and low toxicity. A prospective randomized, double-blind trial is required to assess the efficacy and safety of S-1 combined with radiotherapy to treat HNSCC.

Preclinical trial of a MAP4K4 inhibitor to reduce infarct size in the pig: does cardioprotection in human stem cell-derived myocytes predict success in large mammals?

Reducing infarct size (IS) by interfering with mechanisms for cardiomyocyte death remains an elusive goal. DMX-5804, a selective inhibitor of the stress-activated kinase MAP4K4, suppresses cell death in mouse myocardial infarction (MI), human pluripotent stem cell-derived cardiomyocytes (hPSC-CMs), and 3D human engineered heart tissue, whose fidelity to human biology is hoped to strengthen the route to clinical success. Here, DMX-10001, a soluble, rapidly cleaved pro-drug of DMX-5804, was developed for i.v. testing in large-mammal MI. Following pharmacodynamic studies, a randomized, blinded efficacy study was performed in swine subjected to LAD balloon occlusion (60 min) and reperfusion (24 h). Thirty-six animals were enrolled; 12 were excluded by pre-defined criteria, death before infusion, or technical issues. DMX-10001 was begun 20 min before reperfusion (30 min, 60 mg/kg/h; 23.5 h, 17 mg/kg/h). At all times tested, beginning 30 min after the start of infusion, DMX-5804 concentrations exceeded > fivefold the levels that rescued hPSC-CMs and reduced IS in mice after oral dosing with DMX-5804 itself. No significant reduction occurred in IS or no-reflow corrected for the area at ischemic risk, even though DMX-10001 reduced IS, expressed in grams or % of LV mass, by 27%. In summary, a rapidly cleaved pro-drug of DMX-5804 failed to reduce IS in large-mammal MI, despite exceeding the concentrations for proven success in both mice and hPSC-CMs.

The Efficacy of Antioxidant Oral Supplements on the Progression of COVID-19 in Non-Critically Ill Patients: A Randomized Controlled Trial

Modulation of cytokine production using immunonutrition is a relatively novel concept to improve outcomes among patients with SARS-CoV-2 infection and is now hypothesized to help manage COVID-19, however, clinical evidence is lacking. This prospective, double-blinded, randomized parallel-controlled interventional clinical trial investigated the effect of antioxidant supplements on inflammatory cytokines and disease progression in non-critically ill patients. A total of 87 hospitalized COVID-19 patients were randomized using computer-generated-randomization into the supplement group (n = 18) and the placebo group (n = 16) for 10 days. Baseline and final nutritional screening via nutrition risk screening (NRS-2002) and subjective global assessment (SGA), as well as the recording of anthropometric, clinical, biochemical, and functional parameters, were done. Serum ferritin level, cytokine storm parameters such as interleukin-6 (IL-6), tumor necrosis factor-α (TNF-α), monocyte chemoattractant protein 1(MCP-1), C-reactive protein, total leukocyte count, lymphocytic count, and neutrophil-to-lymphocyte ratio were measured. Anthropometric and clinical parameters showed nonsignificant differences between groups. The hematology profile showed improvement in lymphocyte count in the supplement group. However, levels of alkaline phosphatase, IL-6, TNF-α, and MCP-1 were significantly lower in the supplement group. In conclusion, antioxidant oral supplementation significantly reduced the cytokine storm and led to partial improvements in clinical parameters among patients with non-critical COVID-19.

Effects and safety of herbal medicines among community-dwelling residents during COVID-19 pandemic: A large prospective, randomized controlled trial (RCT)

BACKGROUND

Since the declaration of COVID-19 as a global pandemic by the World Health Organization, countries are struggling with a shortage of medical capacities. It would be essential if the risk for preventable comorbidities, such as the common cold, can be reduced or prevented, so that the scarce medical resources and facilities can be focused on COVID-19.

PURPOSE

To evaluate the effects of two herbal medicines (Jinhaoartemisia antipyretic granules and Huoxiangzhengqi oral liquids) in reducing the risk of the common cold in community-dwelling residents in China during the COVID-19 outbreak.

STUDY DESIGN

A prospective open-label, parallel-group, cluster-randomized controlled trial (RCT), was conducted in Chengdu, China.

METHODS

A total of 22,065 participants from 11 communities were recruited during a period of one month. The trial started on 30 January and participants were followed up till 29 February 2020. Participants were randomly assigned to receive either a five-day herbal medicine therapy plus a reference manual or a reference manual only if they were allocated to the control group. The primary endpoint was the occurrence of patient-reported common cold symptoms. The secondary endpoint was the time in days from the receipt of herbal drugs/reference manual and the occurrence of the common cold symptoms.

RESULTS

Use of herbal medicine reduced the risk of the common cold by 89.6% (95% CI, 52.9% to 97.7%) in all community-dwelling residents, and by 94.0% (95% CI, 52.1% to 99.2%) in residents aged between 16 and 59 years old. Sensitivity analyses showed similar results.

CONCLUSION

This community-based RCT found that the use of a herbal medicine therapy (Jinhaoartemisia antipyretic granules and Huoxiangzhengqi oral liquids) could significantly reduce the risks of the common cold among community-dwelling residents, suggesting that herbal medicine may be a useful approach for public health intervention to minimize preventable morbidity during COVID-19 outbreak.

Safety and efficacy of sargramostim (GM-CSF) in the treatment of Alzheimer's disease

INTRODUCTION

Inflammatory markers have long been observed in the brain, cerebrospinal fluid (CSF), and plasma of Alzheimer's disease (AD) patients, suggesting that inflammation contributes to AD and might be a therapeutic target. However, non-steroidal anti-inflammatory drug trials in AD and mild cognitive impairment (MCI) failed to show benefit. Our previous work seeking to understand why people with the inflammatory disease rheumatoid arthritis are protected from AD found that short-term treatment of transgenic AD mice with the pro-inflammatory cytokine granulocyte-macrophage colony-stimulating factor (GM-CSF) led to an increase in activated microglia, a 50% reduction in amyloid load, an increase in synaptic area, and improvement in spatial memory to normal. These results called into question the consensus view that inflammation is solely detrimental in AD. Here, we tested our hypothesis that modulation of the innate immune system might similarly be used to treat AD in humans by investigating the ability of GM-CSF/sargramostim to safely ameliorate AD symptoms/pathology.

METHODS

A randomized, double-blind, placebo-controlled trial was conducted in mild-to-moderate AD participants (NCT01409915). Treatments (20 participants/group) occurred 5 days/week for 3 weeks plus two follow-up (FU) visits (FU1 at 45 days and FU2 at 90 days) with neurological, neuropsychological, blood biomarker, and imaging assessments.

RESULTS

Sargramostim treatment expectedly changed innate immune system markers, with no drug-related serious adverse events or amyloid-related imaging abnormalities. At end of treatment (EOT), the Mini-Mental State Examination score of the sargramostim group increased compared to baseline (P = .0074) and compared to placebo (P = .0370); the treatment effect persisted at FU1 (P = .0272). Plasma markers of amyloid beta (Aβ40 [decreased in AD]) increased 10% (P = .0105); plasma markers of neurodegeneration (total tau and UCH-L1) decreased 24% (P = .0174) and 42% (P = .0019), respectively, after sargramostim treatment compared to placebo.

DISCUSSION

The innate immune system is a viable target for therapeutic intervention in AD. An extended treatment trial testing the long-term safety and efficacy of GM-CSF/sargramostim in AD is warranted.