Statistical Considerations for Subgroup Analyses

Depressive Symptoms Correlate With Tau Accumulation Rates in Amyloid Positive Adults

OBJECTIVE

Depression in Alzheimer's disease (AD) is linked to faster cognitive decline and increased tau pathology. This study examines the relationship between depressive symptoms and tau accumulation rates in older adults from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database.

METHODS

Three-hundred and three ADNI participants with normal cognition, mild cognitive impairment, or dementia underwent serial [18F]-flortaucipir tau positron-emission tomography (PET) between 2015 and 2022. We assessed whether the Geriatric Depression Scale (GDS) score between baseline and final PET scans correlated with rates of tau accumulation in a temporal lobe meta-region of interest.

RESULTS

GDS score was positively correlated with annualized tau accumulation rates in models adjusted for baseline tau burden, amyloid status on PET, and APOE genotype. This correlation was observed in amyloid-positive, but not amyloid-negative, participants.

CONCLUSION

Depressive symptoms in amyloid-positive adults correlate with accelerated tau accumulation, suggesting that depression may have particular relevance as an indicator of AD pathology progression, and represents a target for future research into modifiable risk factors in AD.

Most hospitalised patients with type 2 diabetes benefit from continuous glucose monitoring compared to point-of-care glucose testing in a non-intensive care unit setting: A heterogeneity of treatment effect analysis

AIMS

Understanding whether improved glycaemic outcomes from continuous glucose monitoring (CGM) compared to point-of-care (POC) glucose testing apply uniformly to all hospitalised non-intensive care unit (non-ICU) patients with type 2 diabetes or vary among subgroups is crucial for allocating healthcare resources.

MATERIALS AND METHODS

This two-site randomised controlled trial DIAbetes TEam and Cgm (DIATEC) enrolled 166 non-ICU patients with type 2 diabetes. Diabetes management was based on either POC glucose testing or CGM. Diabetes management was carried out by general hospital staff, under the guidance of specialised diabetes teams, using insulin titration protocols in both groups. We conducted heterogeneity of treatment effect regression analyses to assess whether certain patient characteristics (e.g., age, gender, haemoglobin A1c, etc.) modified the effects of CGM, compared to POC glucose testing, on the glycaemic outcomes time in/above/below range, mean glucose level, standard deviation (SD), coefficient of variation (CV) and hypoglycaemic events.

RESULTS

No heterogeneity of treatment effect was observed, suggesting that all patients benefited equally from CGM compared to POC glucose testing regarding glycaemic outcomes.

CONCLUSIONS

From a glycaemic perspective, CGM could be widely recommended for most non-ICU patients with type 2 diabetes, as its glycaemic benefits over POC glucose testing appear consistent regardless of individual characteristics.

Daratumumab for newly diagnosed multiple myeloma: Pooled analysis of patients aged ≥65 years from GRIFFIN and PERSEUS

BACKGROUND

Older adults with newly diagnosed multiple myeloma (NDMM) have poor prognosis and constitute a subgroup of particular interest. In the GRIFFIN (NCT02874742) and PERSEUS (NCT03710603) studies, adding daratumumab to bortezomib/lenalidomide/dexamethasone (VRd) induction/consolidation and lenalidomide (R) maintenance deepened responses and improved progression-free survival (PFS) versus VRd/R in transplant-eligible patients with NDMM. Subgroup analyses of patients aged ≥65 years in PERSEUS demonstrated less pronounced PFS benefits (HRs: 0.97 [computerized algorithm]; 0.87 [independent review committee (IRC)]), potentially due to small event numbers, cytogenetic risk imbalances (high risk: D-VRd, 25.5%; VRd, 19.5%), and specific censoring rules. Here, we report results from a post hoc, pooled analysis of GRIFFIN and PERSEUS in patients aged ≥65 years (D-VRd, n = 122; VRd, n = 115).

METHODS

Using patient-level data, PFS analysis was evaluated per computerized algorithm in GRIFFIN and IRC in PERSEUS, stratified by International Staging System stage and cytogenetic risk, with no censoring of PFS events after ≥2 missing disease evaluations.

RESULTS

At a median follow-up of 49.6/47.5 months (GRIFFIN/PERSEUS), a trend in improved PFS was seen among patients aged ≥65 years favoring D-VRd (HR, 0.56 [95% CI, 0.30-1.01]). D-VRd improved rates of complete response or better (82.8% vs. 67.0%; OR, 2.37 [95% CI, 1.28-4.39]; P = .0046) and minimal residual disease negativity (10-5; 66.4% vs. 41.7%; OR, 2.75 [95% CI, 1.61-4.71]; P = .0002) versus VRd. No new safety concerns were identified.

CONCLUSION

These data support use of D-VRd followed by D-R maintenance as standard of care for all transplant-eligible patients with NDMM, regardless of age up to 70 years.

Associations between physical activity, glucose variability, and cognitive function in older adults with type 2 diabetes

Higher glucose variability is linked to cognitive impairment in older adults with type 2 diabetes. While physical activity can reduce glucose variability and improve cognitive function, these relationships remain unexplored using continuous glucose monitoring. This study examined associations between physical activity, glucose variability, and cognitive function through secondary data analysis of 87 older adults with type 2 diabetes using self-reported questionnaires, computerized cognitive assessments, and continuous glucose monitoring data. Subgroup analysis showed that physical activity was associated with better cognitive function in individuals with lower cognitive function but not in those with higher cognitive function. This suggests that the effects of physical activity may vary depending on cognitive status. Future research should incorporate objective physical activity measures and longer-duration continuous glucose monitoring to explore how activity intensity, type, and timing influence glucose variability and cognitive outcomes, informing targeted interventions for this population.

Multisensory training enhances anticipation skills in badminton novices

In racket sports like badminton, accurately predicting shot timing and spatial positioning allows athletes to better interpret opponents' intentions and respond quickly. Perceptual-cognitive training focused on visual cues can enhance these anticipatory skills. However, anticipation based on both visual and auditory information are generally more accurate than those relying solely on visual cues, suggesting the need to explore the benefits of integrated audio-visual Perceptual-cognitive training. This study investigated the effects of different perceptual-cognitive training protocols on anticipation performance in badminton novices. Participants were divided into four groups: a visual training group (receiving only visual cues during training), an audio-visual training group (receiving both visual and auditory cues), a audio-visual blurred training group (receiving degraded visual and auditory cues), and a control group (watching match videos without specific training) to underwent six training sessions over two weeks. Anticipation performance was assessed using a computer-based task, a high-cognitive-load task (requiring simultaneous digit discrimination), a simulated motor task (involving physical movement to respond), and a real-competition video task. Results showed: (1) Training groups improved in anticipation accuracy, with no such improvement in the control group; (2) Under high cognitive load and simulated motor tasks, the visual training group improved the most, followed by the visual-auditory group, and then the blurred training group. The visual training group also performed better in visual-auditory conditions compared to visual conditions; (3) Improvements were sustained for two weeks. This accuracy improvement is likely because the training protocols, particularly visual training, facilitated action representation by integrating visual and auditory cues based on Event Coding Theory, and guided discovery feedback optimized participants' information search towards critical anticipatory cues. The study concludes that presenting visual cues during the anticipation phase, combined with guided discovery using audio-visual feedback during the feedback phase, optimize skill acquisition and retention. This approach may have broader applications in other sports or training environments where rapid decision-making and predictive accuracy are essential.

The hazards of chasing subgroups in neutral stroke trials

BACKGROUND

The majority of randomised controlled trials in acute stroke and many for prevention are neutral, i.e. they failed to reach statistical significance. However, many of these will find apparent benefit in a component of a subgroup, findings which may be 'chased' in a follow-up trial. The evidence to date is that these follow-on trials are very likely to be neutral.

FINDINGS

We discuss the issue of chasing subgroups in neutral trials and illustrate the challenges in five pairs of exemplar acute stroke trials. Problems in the exemplar trials include failing to define the subgroup in advance or even changing its definition, failing to show that both the interaction test and the primary outcome in the component were statistically significant, failing to publish additional information on the positive subgroup component, having too many subgroups, failing to make the follow-on trial large enough and failing to report the findings of the follow-on trial.

CONCLUSION

When chasing a positive component in a subgroup, it is vital that the subgroup: should be plausible biologically, defined a priori and have a significant interaction test. Further the number of subgroups should be limited and the component of interest should be statistically significant. Explanations should be given as to why the component is positive and other components of the subgroup are negative. Other outcomes should also show potential benefit. Unless this guidance is followed, it is highly likely that follow-on trials will be neutral as has occurred previously.

Design and analysis considerations for investigating patient subgroups of interest within cancer clinical trials

Examining treatment effects in subgroups of patients defined by demographic, genetic, or clinical characteristics is increasingly of interest given the pursuit of personalized medicine and the importance of representation and equity in treatment decisions. The magnitude or even the direction of the treatment effect may vary across subgroups, and these differential treatment effects could have clinical implications. Subgroup analyses require caution in their interpretation, however, because of the high probability of a false-positive or false-negative conclusion. We outline study design and analysis considerations for responsibly investigating and reporting differential treatment effects across subgroups in oncology trials, with examples from the National Cancer Institute's National Clinical Trials Network and Community Oncology Research Program. Recommendations include ensuring appropriate representation of patients from subgroups of interest, recognizing power and multiplicity limitations, and treating exploratory subgroup analyses as hypothesis generating rather than practice changing.

Intake of animal and plant proteins and risk of all-cause mortality in patients with type 2 diabetes: results from NHANES

BACKGROUND/OBJECTIVE

There is little and inconsistent data on the relationship between protein intake and mortality in patients with type 2 diabetes. Our goal was to look at the relationship between consuming plant- and animal-based proteins and the risk of all-cause death in patients with type 2 diabetes.

SUBJECTS/METHODS

We included 4646 patients with type 2 diabetes aged ≥20 years participating in continuous NHANES from 1999 to 2018. All-cause mortality was ascertained through linkage to National Death Index until December 31, 2019. Cox proportional hazard regression models were used to estimate multivariable-adjusted hazard ratios (HRs) and 95%CIs.

RESULTS

Over an average follow-up of nine years, 969 deaths took place. The multivariable-adjusted HRs of all-cause mortality across quartiles of plant protein intake, were, respectively, 1.00 (reference), 0.77 (95%CI: 0.65, 0.93), 0.79 (95%CI: 0.64, 0.97), and 0.73 (95%CI: 0.58, 0.93) (Ptrend = 0.022). Intake of animal protein was not linked to all-cause mortality. The HR was 0.94 (95%CI: 0.81, 1.08) for replacing 5% of energy from animal protein with plant protein. Intake of protein from individual animal- and plant-based foods was not related to the risk of all-cause mortality, nor was replacing 5% of energy intake from red meat protein with those from other foods.

CONCLUSIONS

Among individuals with type 2 diabetes, a higher intake of plant protein is linked to a lower risk of death from all causes. Nevertheless, the results should be interpreted with caution because some subgroups did not show an inverse relationship, and observational studies have limitations.

Perioperative Neurocognitive Disorder in Individuals with a History of Traumatic Brain Injury: Protocol for a Systematic Review and Meta-Analysis

Postoperative neurocognitive disorder (PND) is a cognitive decline after general anesthesia and surgery, influenced by preexisting neurodegenerative conditions, stress, and inflammation. Traumatic brain injury (TBI) is linked to a dysregulated stress response, neuroinflammation, and cognitive issues. Patients with TBI often need extracranial surgeries under general anesthesia (GA), which can increase stress, neuroinflammation, and neurodegenerative changes, raising PND risk. We will search databases like Ovid Medline and Embase for studies on cognitive function in patients with mild to moderate TBI who had extracranial surgeries under general anesthesia (GA). Screening and data extraction will be done manually and with AI-assisted tools (ASReview). Study quality will be assessed using the Newcastle-Ottawa Scale. Statistical analyses will include mean differences, odds ratios, and meta-regression, addressing heterogeneity, sensitivity, and publication bias using Stata/SE. By meta-analyzing clinical studies, we aim to determine if TBI and GA/surgery interact to induce PND. We will use various data sources, subgroup analyses, sensitivity analyses, and meta-regression to assess factors like age, gender, and type of GA/surgery. This meta-analysis will enhance our understanding of PND risks, inform clinical practices, and highlight new research directions. The systematic review is registered in PROSPERO (CRD42024510980).

The Evidence-Based Medicine Management of Endometriosis Should Be Updated for the Limitations of Trial Evidence, the Multivariability of Decisions, Collective Experience, Heuristics, and Bayesian Thinking

Background/Objectives: The diagnosis and treatment of endometriosis should be based on the best available evidence. Emphasising the risk of bias, the pyramid of evidence has the double-blind, randomised controlled trial and its meta-analyses on top. After the grading of all evidence by a group of experts, clinical guidelines are formulated using well-defined rules. Unfortunately, the impact of evidence-based medicine (EBM) on the management of endometriosis has been limited and, possibly, occasionally harmful. Methods: For this research, the inherent problems of diagnosis and treatment were discussed by a working group of endometriosis and EBM specialists, and the relevant literature was reviewed. Results: Most clinical decisions are multivariable, but randomized controlled trials (RCTs) cannot handle multivariability because adopting a factorial design would require prohibitively large cohorts and create randomization problems. Single-factor RCTs represent a simplification of the clinical reality. Heuristics and intuition are both important for training and decision-making in surgery; experience, Bayesian thinking, and learning from the past are seldom considered. Black swan events or severe complications and accidents are marginally discussed in EBM since trial evidence is limited for rare medical events. Conclusions: The limitations of EBM for managing endometriosis and the complementarity of multivariability, heuristics, Bayesian thinking, and experience should be recognized. Especially in surgery, the value of training and heuristics, as well as the importance of documenting the collective experience and of the prevention of complications, are fundamental. These additions to EBM and guidelines will be useful in changing the Wild West mentality of surgery resulting from the limited scope of EBM data because of the inherent multivariability, combined with the low number of similar interventions.

New horizons in cancer immunotherapy: The evolving role of R848 and R837 (Review)

Therapeutic approaches that increase the efficacy and safety of cancer treatments and improve disease outcomes have been developed worldwide. Immunotherapy uses the body's immune system to inhibit cancerous growth in tissues and organs. Various approaches have been developed to effectively control and inhibit cancerous growth, including checkpoint inhibitors, T-cell transfer therapy, monoclonal antibodies, vaccines and immunomodulators. Toll-like receptors (TLRs) target malignant cells by equipping the immune response. In addition, TLR agonists serve a key role in promoting the innate immune system and initiating antigen-specific T-cell responses. Notably, TLRs and TLR agonists have been utilized as monotherapies or in combination for the treatment of cancer. The present study aimed to review the use of R848 and R837 as TLR agonists, and outline their use as key immunomodulators in cancer therapy.

A meta-analysis of animal studies evaluating the effect of hydrogen sulfide on ischemic stroke: is the preclinical evidence sufficient to move forward?

Hydrogen sulfide (H2S) is a gasotransmitter that has been studied for its potential therapeutic effects, including its role in the pathophysiology and treatment of stroke. This systematic review and meta-analysis aimed to determine the sufficiency of overall preclinical evidence to guide the initiation of clinical stroke trials with H2S and provide tailored recommendations for their design. PubMed, Web of Science, Scopus, EMBASE, and MEDLINE were searched for studies evaluating the effect of any H2S donor on in vivo animal models of regional ischemic stroke, and 34 publications were identified. Pooling of the effect sizes using the random-effect model revealed that H2S decreased the infarct area by 34.5% (95% confidence interval (CI) 28.2-40.8%, p < 0.0001), with substantial variability among the studies (I2 = 89.8%). H2S also caused a 37.9% reduction in the neurological deficit score (95% CI 29.0-46.8%, p < 0.0001, I2 = 63.8%) and in the brain water content (3.2%, 95% CI 1.4-4.9%, p = 0.0014, I2 = 94.6%). Overall, the studies had a high risk of bias and low quality of evidence (median quality score 5/15, interquartile range 4-9). The majority of the included studies had a "high" or "unclear" risk of bias, and none of the studies overall had a "low" risk. In conclusion, H2S significantly improves structural and functional outcomes in in vivo animal models of ischemic stroke. However, the level of evidence from preclinical studies is not sufficient to proceed to clinical trials due to the low external validity, high risk of bias, and variable design of existing animal studies.

Efficacy of COVID-19 Treatments in Intensive Care Unit: A Systematic Review and Meta-Analysis of Randomized Controlled Trials

Objectives: Examining the cumulative evidence from randomized controlled trials (RCTs), evaluating the use of pharmacological agents for the treatment of COVID-19 infections in patients with critical illness. Data Sources: Databases Medline, Embase, Web of Science, Scopus, CINAHL, and Cochrane. Study Selection: Inclusion criteria were RCTs that enrolled patients with confirmed or suspected COVID-19 infection who are critically ill. Only RCTs that examined therapeutic agents against one another or no intervention, placebo, or standard of care, were included. Data Extraction: Pairs of reviewers extracted data independently. Outcomes of interest included the overall reported mortality defined as either the ICU mortality, hospital mortality, mortality within 28 days or mortality within 90 days. Data Synthesis: A total of 40 studies (11,613 patients) evaluated 50 therapeutic intervention arms divided into five main therapy categories; steroids, antiviral medications, immunomodulators, plasma therapies [intravenous immunoglobulins (IVIG), convalescent plasma and/or, therapeutic plasma exchange], and therapeutic anticoagulation. Immunomodulators was the only group with possible mortality benefit, risk ratio (RR) 0.83 (95% CI 0.73; 0.95), with nonsignificant heterogeneity (I 2 = 8%, p=0.36). In contrast, the other therapy groups showed no significant impact on mortality, as indicated by their respective pooled RRs: steroids [RR 0.91 (95% CI 0.82; 1.01), I 2 = 31%], antiviral medications [RR 1.11 (95% CI 0.82; 1.49), I 2 = 57%], plasma therapies [RR 0.77 (95% CI 0.58; 1.01), I 2 = 36%], and anticoagulation [RR 1.06 (95% CI 0.95; 1.18), I 2 = 0%]. Conclusions: This meta-analysis highlights both the heterogeneity and a lack of benefit from therapies evaluated during the COVID-19 pandemic. Many of the RCTs were developed based on limited observational data. Future RCTs investigating pharmaceutical interventions in critically ill patients during pandemics need to be designed based on better evidence.

DIFFERENTIAL TREATMENT EFFECTS OF STANDARD AND HYPOFRACTIONATED RADIATION REGIMENS IN GLIOBLASTOMA PATIENTS

BACKGROUND

The identification of the subgroups with differential treatment effects (DTE) is important for decisionmaking in personalized treatment. The DTE analysis assists in identifying patients who are more likely to benefit from a particular treatment regimen. The aim of the study was to analyze DTE in terms of the survival of glioblastoma (GBM) patients in the groups of standard radiotherapy (SRT) and hypofractionated radiotherapy (HRT) by the multicluster modeling of homogenous groups while retaining the statistical characteristics of the overall primary study cohort.

PATIENTS AND METHODS

The cohort of 159 patients with newly diagnosed GBM stratified according to the radiotherapy regimen (HRT group (n = 110/69.2%); SRT group (n = 49/30.8%)) was evaluated retrospectively. Forty-eight subgroups (multiclusters) were created by enumerating all possible combinations of 5 significant covariates (age, sex, the radicality of the surgical resection, chemotherapy, and Karnofsky performance status) of the Cox model. The DTE for the cancerspecific survival (CSS) within 48 modeled multiclusters were studied by comparing the interpolated Weibull CSS curves according to the Kolmogorov - Smirnov test.

RESULTS

The findings showed that the SRT group was superior to the HRT group by CSS only in 3 of the modeled clusters presenting clinical scenarios with a non-radical tumor resection, no chemotherapy, and low Karnofsky functional status (≤ 70 scores) (Cluster 10: male aged < 60; Cluster 21: female aged ≥ 60; Cluster 22: male aged ≥ 60). Most of the studied clinical variants (45 of 48 multiclusters) did not demonstrate a significant difference when comparing the interpolated Weibull curves of the CSS for the SRT and HRT groups according to the Kolmogorov - Smirnov test (p ≥ 0.05).

CONCLUSIONS

We propose a novel multicluster modeling approach that addresses DTE in relatively small samples of GBM patients receiving SRT or HRT. This original analytical method can be taken into consideration while designing new well-powered prospective trials aimed at the subgroup analysis in GBM patients who will be most beneficial from personalized treatment strategies.

Utilization of geospatial distribution in the measurement of study cohort representativeness

OBJECTIVE

The ability to apply results from a study to a broader population remains a primary objective in translational science. Distinct from intrinsic elements of scientific rigor, the extrinsic concept of generalization requires there be alignment between a study cohort and population in which results are expected to be applied. Widespread efforts have been made to quantify representativeness of study cohorts. These techniques, however, often consider the study and target cohorts as monolithic collections that can be directly compared. Overlooking known impacts to health from socio-demographic and environmental factors tied to individual's geographical location, and potentially obfuscating misalignment in underrepresented population subgroups. This manuscript introduces several measures to account for geographic information in the assessment of cohort representation.

METHODS

Metrics were defined across two themes: First, measures of recruitment, to assess if a study cohort is drawn at an expected rate and in an expected geographical pattern with respect to individuals in a reference cohort. Second, measures of individual characteristics, to assess if the individuals in the study cohort accurately reflect the sociodemographic, clinical, and geographic diversity observed across a reference cohort while accounting for the geospatial proximity of individuals.

RESULTS

As an empirical demonstration, methods are applied to an active clinical study examining asthma in Black/African American patients at a US Midwestern pediatric hospital. Results illustrate how areas of over- and under-recruitment can be identified and contextualized in light of study recruitment patterns at an individual-level, highlighting the ability to identify a subset of features for which the study cohort closely resembled the broader population. In addition they provide an opportunity to dive deeper into misalignments, to identify study cohort members that are in some way distinct from the communities for which they are expected to represent.

CONCLUSION

Together, these metrics provide a comprehensive spatial assessment of a study cohort with respect to a broader target population. Such an approach offers researchers a toolset by which to target expected generalization of results derived from a given study.

Calcium supplementation during trauma resuscitation: a propensity score-matched analysis from the TraumaRegister DGU®

BACKGROUND

In major trauma patients, hypocalcemia is associated with increased mortality. Despite the absence of strong evidence on causality, early calcium supplementation has been recommended. This study investigates whether calcium supplementation during trauma resuscitation provides a survival benefit.

METHODS

We conducted a retrospective analysis using data from the TraumaRegister DGU® (2015-2019), applying propensity score matching to balance demographics, injury severity, and management between major trauma patients with and without calcium supplementation. 6 h mortality, 24 h mortality, and in-hospital mortality were considered as primary outcome parameters.

RESULTS

Within a cohort of 28,323 directly admitted adult major trauma patients at a European trauma center, 1593 (5.6%) received calcium supplementation. Using multivariable logistic regression to generate propensity scores, two comparable groups of 1447 patients could be matched. No significant difference in early mortality (6 h and 24 h) was observed, while in-hospital mortality appeared higher in those with calcium supplementation (28.3% vs. 24.5%, P = 0.020), although this was not significant when adjusted for predicted mortality (P = 0.244).

CONCLUSION

In this matched cohort, no evidence was found for or against a survival benefit from calcium supplementation during trauma resuscitation. Further research should focus on understanding the dynamics and kinetics of ionized calcium levels in major trauma patients and identify if specific conditions or subgroups could benefit from calcium supplementation.

Older adults' online activities and cognition: Investigating the psychological mechanisms and age and gender differences

OBJECTIVES

This study aimed to investigate psychological mechanisms underlying the association between older adults' Internet use and cognition and examine potential age and gender group differences.

METHODS

2064 older participants were extracted from the Waves 2012, 2013, and 2016 Health and Retirement Study. Internet use was measured by two sets of variables: Internet access and different types of online activities (i.e., informational use, social use, online shopping, and online banking). Path analyses were applied to test the proposed mechanisms via three mediators (i.e., loneliness, depressive symptoms, and perceived control). Multi-group analyses were conducted to examine the potential group differences.

RESULTS

Internet use was positively associated with cognition. Despite the large direct effect, small but significant indirect effects via depressive symptoms and perceived control were identified across all online activities. Multi-group analyses revealed age-group differences in the mechanisms: depressive symptoms mediated the effects of all online activities on cognition among young-old adults, while perceived control mediated all the effects among old-old adults. Gender group differences were also identified: depressive symptoms mediated the effects of all online activities on cognition among older women and most online activities among older men, whereas perceived control mediated the associations between informational and instrumental (i.e., online shopping and banking) use and cognition among older men.

DISCUSSION

This study highlights the mediating effect of depressive symptoms and perceived control and age and gender differences regarding the Internet use-cognition association. Internet-based cognitive interventions should consider these psychological mediators and age and gender differences for the best results.

Effects of activity-oriented physiotherapy with and without eye movement training on dynamic balance, functional mobility, and eye movements in patients with Parkinson's disease: An assessor-blinded randomised controlled pilot trial

OBJECTIVES

To describe changes in balance, walking speed, functional mobility, and eye movements following an activity-oriented physiotherapy (AOPT) or its combination with eye movement training (AOPT-E) in patients with Parkinson's disease (PD). To explore the feasibility of a full-scale randomised controlled trial (RCT).

METHODS

Using an assessor-blinded pilot RCT, 25 patients with PD were allocated to either AOPT or AOPT-E. Supervised interventions were performed 30 minutes, 4x/weekly, for 4 weeks, alongside inpatient rehabilitation. Outcomes were assessed at baseline and post-intervention, including dynamic balance, walking speed, functional and dual-task mobility, ability to safely balance, health-related quality of life (HRQoL), depression, and eye movements (number/duration of fixations) using a mobile eye tracker. Freezing of gait (FOG), and falls-related self-efficacy were assessed at baseline, post-intervention, and 4-week follow-up. Effect sizes of 0.10 were considered weak, 0.30 moderate, and ≥0.50 strong. Feasibility was assessed using predefined criteria: recruitment, retention and adherence rates, adverse events, falls, and post-intervention acceptability using qualitative interviews.

RESULTS

Improvements were observed in dynamic balance (effect size r = 0.216-0.427), walking speed (r = 0.165), functional and dual-task mobility (r = 0.306-0.413), ability to safely balance (r = 0.247), HRQoL (r = 0.024-0.650), and depression (r = 0.403). Falls-related self-efficacy (r = 0.621) and FOG (r = 0.248) showed varied improvements, partly sustained at follow-up. Eye movement improvements were observed after AOPT-E only. Feasibility analysis revealed that recruitment was below target, with less than two patients recruited per month due to COVID-19 restrictions. Feasibility targets were met, with a retention rate of 96% (95% confidence interval [CI]: 77.68-99.79) and a 98.18% (95% CI: 96.12-99.20) adherence rate, exceeding the targets of 80% and 75%, respectively. One adverse event unrelated to the study intervention confirmed intervention safety, and interview data indicated high intervention acceptability.

CONCLUSIONS

AOPT-E and AOPT appeared to be effective in patients with PD. Feasibility of a larger RCT was confirmed and is needed to validate results.

Persistence and heterogeneity of the effects of educating mothers to improve child immunisation uptake: Experimental evidence from Uttar Pradesh in India

Childhood vaccinations are among the most cost-effective health interventions. Yet, in India, where immunisation services are widely available free of charge, a substantial proportion of children remain unvaccinated. We revisit households 30 months after a randomised experiment of a health information intervention designed to educate mothers on the benefits of child vaccination in Uttar Pradesh, India. We find that the large short-term effects on the uptake of diphtheria-pertussis-tetanus and measles vaccination were sustained at 30 months, suggesting the intervention did not simply bring forward vaccinations. We apply causal forests and find that the intervention increased vaccination uptake, but that there was substantial variation in the magnitude of the estimated effects. We conclude that characterising those who benefited most and conversely those who benefited least provides policy-makers with insights on how the intervention worked, and how the targeting of households could be improved.

Dietary supplement intake in women with breast cancer before and after diagnosis: results from the SUCCESS C trial

BACKGROUND

There is little evidence that dietary supplements are beneficial for patients with breast cancer; therefore, they are usually not recommended by treatment guidelines. The aim of the present analysis was to assess the prevalence of dietary supplement (DS) intake among women before and after a breast cancer diagnosis.

METHODS

Participants in the SUCCESS C lifestyle intervention study, a randomized controlled trial in women with newly diagnosed intermediate- to high-risk breast cancer, completed two questionnaires on dietary supplement intake 24 months (QS1) and 48 months (QS2) after beginning the lifestyle intervention. The study was registered on 12.17.2008 under the EU Clinical Trials Register https://www.clinicaltrialsregister.eu/ , trial registration number: 2008-005453-38. The questionnaires collected data on DS intake during the 5-year period prediagnosis (QS1) and in the period postdiagnosis (QS2). Multivariate logistic regression models were fitted to examine differences in DS intake between the two intervention groups. The groups were then pooled to examine differences in DS use between the prediagnostic and postdiagnostic period.

RESULTS

A total of 320 questionnaires from 58.5% of intervention group completers and 416 questionnaires from 46.6% of low-level intervention group completers were included in the analysis. Overall, 20.2% of all respondents reported taking DS prior to their diagnosis. After a cancer diagnosis, the percentage of women taking DS significantly increased to 56.4% (p for time effect < 0.0001). No differences in DS intake between the intervention groups were observed. Single or combined preparations of vitamins and minerals/trace elements were the most frequently reported supplements. Notably, a 9-fold increase in vitamin D intake was reported postdiagnosis, where the proportion of women increased from 3.8 to 34.5%.

CONCLUSION

A 3-fold increase in the reported intake of dietary supplements was seen in women after a breast cancer diagnosis. These observations underscore the need to incorporate patient education surrounding the use of dietary supplements in a treatment care plan, particularly addressing the negligible benefits as well as the potential risks and treatment interactions.

Progesterone for Neurodevelopment in Fetuses With Congenital Heart Defects: A Randomized Clinical Trial

Importance

Neurodevelopmental outcomes for children with congenital heart defects (CHD) have improved minimally over the past 20 years.

Objectives

To assess the feasibility and tolerability of maternal progesterone therapy as well as the magnitude of the effect on neurodevelopment for fetuses with CHD.

Design, Setting, and Participants

This double-blinded individually randomized parallel-group clinical trial of vaginal natural progesterone therapy vs placebo in participants carrying fetuses with CHD was conducted between July 2014 and November 2021 at a quaternary care children's hospital. Participants included maternal-fetal dyads where the fetus had CHD identified before 28 weeks' gestational age and was likely to need surgery with cardiopulmonary bypass in the neonatal period. Exclusion criteria included a major genetic or extracardiac anomaly other than 22q11 deletion syndrome and known contraindication to progesterone. Statistical analysis was performed June 2022 to April 2024.

Intervention

Participants were 1:1 block-randomized to vaginal progesterone or placebo by diagnosis: hypoplastic left heart syndrome (HLHS), transposition of the great arteries (TGA), and other CHD diagnoses. Treatment was administered twice daily between 28 and up to 39 weeks' gestational age.

Main Outcomes and Measures

The primary outcome was the motor score of the Bayley Scales of Infant and Toddler Development-III; secondary outcomes included language and cognitive scales. Exploratory prespecified subgroups included cardiac diagnosis, fetal sex, genetic profile, and maternal fetal environment.

Results

The 102 enrolled fetuses primarily had HLHS (n = 52 [50.9%]) and TGA (n = 38 [37.3%]), were more frequently male (n = 67 [65.7%]), and without genetic anomalies (n = 61 [59.8%]). The mean motor score differed by 2.5 units (90% CI, -1.9 to 6.9 units; P = .34) for progesterone compared with placebo, a value not statistically different from 0. Exploratory subgroup analyses suggested treatment heterogeneity for the motor score for cardiac diagnosis (P for interaction = .03) and fetal sex (P for interaction = .04), but not genetic profile (P for interaction = .16) or maternal-fetal environment (P for interaction = .70).

Conclusions and Relevance

In this randomized clinical trial of maternal progesterone therapy, the overall effect was not statistically different from 0. Subgroup analyses suggest heterogeneity of the response to progesterone among CHD diagnosis and fetal sex.

Trial Registration

ClinicalTrials.gov Identifier: NCT02133573.

Differential Use of Glycoprotein IIb/IIIa Inhibitors with Bivalirudin in Patients with STEMI Undergoing PCI: A Systematic Review and Meta-Analysis

AIM

The efficacy and safety of bivalirudin when used concurrently with glycoprotein IIb/IIIa inhibitors (GPI) is uncertain. In this systematic review and meta-analysis, we aimed to evaluate the efficacy and safety of bivalirudin versus heparin in patients with ST-segment elevation myocardial infarction (STEMI) undergoing primary percutaneous coronary intervention (PCI) and to explore the impact of differential use (greater and balanced) of GPI.

METHODS

Online databases were queried from inception to March 2023 to identify eight randomized controlled trials (n = 22,483) for inclusion. The primary outcomes included all-cause mortality, major bleeding, major adverse cardiovascular events (MACE), and net adverse clinical events (NACE). Secondary efficacy endpoints included cardiac death, reinfarction, stent thrombosis (ST), and stroke. Data were pooled using a random-effects model to derive risk ratios (RRs) and 95% confidence intervals (CIs).

RESULTS

When compared to heparin, bivalirudin was associated with a significant reduction in all-cause mortality (RR 0.83; 95% CI 0.72-0.97; P = 0.02), major bleeding (RR 0.73; 95% CI 0.57-0.93; P = 0.01), cardiac death (RR 0.79; 95% CI 0.66-0.94; P = 0.01), and NACE (RR 0.80; 95% CI 0.72-0.89; P < 0.0001). However, while the bivalirudin arm showed an increased likelihood of ST in the greater GPI subgroup (RR 1.70; 95% CI 1.13-2.56; P = 0.01), it was associated with a decreased likelihood of ST in the balanced GPI subgroup (RR 0.40; 95% CI 0.24-0.65; P = 0.0003).

CONCLUSION

Overall, our findings suggest that bivalirudin may be a more efficacious intervention than heparin for reducing certain adverse events in patients with STEMI undergoing primary PCI.

Regional differences in outcomes with ablation versus drug therapy for atrial fibrillation: Results from the CABANA trial

BACKGROUND

The finding of unexpected variations in treatment benefits by geographic region in international clinical trials raises complex questions about the interpretation and generalizability of trial findings. We observed such geographical variations in outcome and in the effectiveness of atrial fibrillation (AF) ablation versus drug therapy in the Catheter Ablation vs Antiarrhythmic Drug Therapy for Atrial Fibrillation (CABANA) trial. This paper describes these differences and investigates potential causes.

METHODS

The examination of treatment effects by geographic region was a prespecified analysis. CABANA enrolled patients from 10 countries, with 1,285 patients at 85 North American (NA) sites and 919 at 41 non-NA sites. The primary endpoint was a composite of death, disabling stroke, serious bleeding, or cardiac arrest. Death and first atrial fibrillation recurrence were secondary endpoints.

RESULTS

At least 1 primary endpoint event occurred in 157 patients (12.2%) from NA and 33 (3.6%) from non-NA sites over a median 54.9 and 40.5 months of follow-up, respectively (NA/non-NA adjusted hazard ratio (HR) 2.18, 95% confidence interval (CI) 1.48-3.21, P < .001). In NA patients, 78 events occurred in the ablation and 79 in the drug arm, (HR 0.91, 95% CI 0.66, 1.24) while 11 and 22 events occurred in non-NA patients (HR 0.51, 95% CI 0.25,1.05, interaction P = .154). Death occurred in 53 ablation and 51 drug therapy patients in the NA group (HR 0.96, 95% CI 0.65,1.42) and in 5 ablation and 16 drug therapy patients in the non-NA group (HR 0.32, 95% CI 0.12,0.86, interaction P = .044). Adjusting for baseline regional differences or prognostic risk variables did not account for the regional differences in treatment effects. Atrial fibrillation recurrence was reduced by ablation in both regions (NA: HR 0.54, 95% CI 0.46, 0.63; non-NA: HR 0.44, 95% CI 0.30, 0.64, interaction P = .322).

CONCLUSIONS

In CABANA, primary outcome events occurred significantly more often in the NA group but assignment to ablation significantly reduced all-cause mortality in the non-NA group only. These differences were not explained by regional variations in procedure effectiveness, safety, or patient characteristics.

CLINICAL TRIAL REGISTRATION

ClinicalTrials.gov Identifier: NCT0091150; https://clinicaltrials.gov/study/NCT00911508.

Age and Computed Tomography and Invasive Coronary Angiography in Stable Chest Pain: A Prespecified Secondary Analysis of the DISCHARGE Randomized Clinical Trial

Importance

The effectiveness and safety of computed tomography (CT) and invasive coronary angiography (ICA) in different age groups is unknown.

Objective

To determine the association of age with outcomes of CT and ICA in patients with stable chest pain.

Design, Setting, and Participants

The assessor-blinded Diagnostic Imaging Strategies for Patients With Stable Chest Pain and Intermediate Risk of Coronary Artery Disease (DISCHARGE) randomized clinical trial was conducted between October 2015 and April 2019 in 26 European centers. Patients referred for ICA with stable chest pain and an intermediate probability of obstructive coronary artery disease were analyzed in an intention-to-treat analysis. Data were analyzed from July 2022 to January 2023.

Interventions

Patients were randomly assigned to a CT-first strategy or a direct-to-ICA strategy.

Main Outcomes and Measures

MACE (ie, cardiovascular death, nonfatal myocardial infarction, or stroke) and major procedure-related complications. The primary prespecified outcome of this secondary analysis of age was major adverse cardiovascular events (MACE) at a median follow-up of 3.5 years.

Results

Among 3561 patients (mean [SD] age, 60.1 [10.1] years; 2002 female [56.2%]), 2360 (66.3%) were younger than 65 years, 982 (27.6%) were between ages 65 to 75 years, and 219 (6.1%) were older than 75 years. The primary outcome was MACE at a median (IQR) follow-up of 3.5 (2.9-4.2) years for 3523 patients (99%). Modeling age as a continuous variable, age, and randomization group were not associated with MACE (hazard ratio, 1.02; 95% CI, 0.98-1.07; P for interaction = .31). Age and randomization group were associated with major procedure-related complications (odds ratio, 1.15; 95% CI, 1.05-1.27; P for interaction = .005), which were lower in younger patients.

Conclusions and Relevance

Age did not modify the effect of randomization group on the primary outcome of MACE but did modify the effect on major procedure-related complications. Results suggest that CT was associated with a lower risk of major procedure-related complications in younger patients.

Trial Registration

ClinicalTrials.gov Identifier: NCT02400229.

Differential Treatment Effects of Subgroup Analyses in Phase 3 Oncology Trials From 2004 to 2020

Importance

Subgroup analyses are often performed in oncology to investigate differential treatment effects and may even constitute the basis for regulatory approvals. Current understanding of the features, results, and quality of subgroup analyses is limited.

Objective

To evaluate forest plot interpretability and credibility of differential treatment effect claims among oncology trials.

Design, Setting, and Participants

This cross-sectional study included randomized phase 3 clinical oncology trials published prior to 2021. Trials were screened from ClinicalTrials.gov.

Main Outcomes and Measures

Missing visual elements in forest plots were defined as a missing point estimate or use of a linear x-axis scale for hazard and odds ratios. Multiplicity of testing control was recorded. Differential treatment effect claims were rated using the Instrument for Assessing the Credibility of Effect Modification Analyses. Linear and logistic regressions evaluated associations with outcomes.

Results

Among 785 trials, 379 studies (48%) enrolling 331 653 patients reported a subgroup analysis. The forest plots of 43% of trials (156 of 363) were missing visual elements impeding interpretability. While 4148 subgroup effects were evaluated, only 1 trial (0.3%) controlled for multiple testing. On average, trials that did not meet the primary end point conducted 2 more subgroup effect tests compared with trials meeting the primary end point (95% CI, 0.59-3.43 tests; P = .006). A total of 101 differential treatment effects were claimed across 15% of trials (55 of 379). Interaction testing was missing in 53% of trials (29 of 55) claiming differential treatment effects. Trials not meeting the primary end point were associated with greater odds of no interaction testing (odds ratio, 4.47; 95% CI, 1.42-15.55, P = .01). The credibility of differential treatment effect claims was rated as low or very low in 93% of cases (94 of 101).

Conclusions and Relevance

In this cross-sectional study of phase 3 oncology trials, nearly half of trials presented a subgroup analysis in their primary publication. However, forest plots of these subgroup analyses largely lacked essential features for interpretation, and most differential treatment effect claims were not supported. Oncology subgroup analyses should be interpreted with caution, and improvements to the quality of subgroup analyses are needed.

A Simple Guide to Randomized Controlled Trials

Randomized controlled trials represent the cornerstone for the regulatory approval of drugs and evidence-based medicine and policy. Compared with observational studies random assignment of participants to each study arm guarantees an equal distribution of potential confounders thus achieving impartiality in the evaluation of between group differences and allowing for causal inferences to be drawn. These complex and costly medical experiments are tightly regulated and require substantial planning with great attention to several methodological aspects ranging from allocation concealment and blinding to sample size estimation, statistical analysis, and handling of protocol deviations. This brief guide offers useful insights into the design, conduct, and interpretation of clinical trial findings for beginners.

Clinical data mining: challenges, opportunities, and recommendations for translational applications

Clinical data mining of predictive models offers significant advantages for re-evaluating and leveraging large amounts of complex clinical real-world data and experimental comparison data for tasks such as risk stratification, diagnosis, classification, and survival prediction. However, its translational application is still limited. One challenge is that the proposed clinical requirements and data mining are not synchronized. Additionally, the exotic predictions of data mining are difficult to apply directly in local medical institutions. Hence, it is necessary to incisively review the translational application of clinical data mining, providing an analytical workflow for developing and validating prediction models to ensure the scientific validity of analytic workflows in response to clinical questions. This review systematically revisits the purpose, process, and principles of clinical data mining and discusses the key causes contributing to the detachment from practice and the misuse of model verification in developing predictive models for research. Based on this, we propose a niche-targeting framework of four principles: Clinical Contextual, Subgroup-Oriented, Confounder- and False Positive-Controlled (CSCF), to provide guidance for clinical data mining prior to the model's development in clinical settings. Eventually, it is hoped that this review can help guide future research and develop personalized predictive models to achieve the goal of discovering subgroups with varied remedial benefits or risks and ensuring that precision medicine can deliver its full potential.

Attention Load Regulates the Facilitation of Audio-Visual Information on Landing Perception in Badminton

Based on the role of the high temporal sensitivity of the auditory modality and the advantage of audio-visual integration in motion perception and anticipation, we investigated the effect of audio-visual information on landing perception in badminton through two experiments; and we explored the regulatory role of attention load. In this study, experienced badminton players were asked to predict the landing position of the shuttle under the conditions of video (visual) or audio-video (audio-visual) presentation. We manipulated flight information or attention load. The results of Experiment 1 showed that, whether the visual information was rich or not, that is, whether or not it contained the early flight trajectory, the addition of auditory information played a promoting role. The results of Experiment 2 showed that attention load regulated the facilitation of multi-modal integration on landing perception. The facilitation of audio-visual information was impaired under high load, meaning that audio-visual integration tended to be guided by attention from top to bottom. The results support the superiority effect of multi-modal integration, suggesting that adding auditory perception training to sports training could significantly improve athletes' performance.

The neighborhood built environment and COVID-19 hospitalizations

Research on the associations between the built environment and COVID-19 outcomes has mostly focused on incidence and mortality. Also, few studies on the built environment and COVID-19 have controlled for individual-level characteristics across large samples. In this study, we examine whether neighborhood built environment characteristics are associated with hospitalization in a cohort of 18,042 individuals who tested positive for SARS-CoV-2 between May and December 2020 in the Denver metropolitan area, USA. We use Poisson models with robust standard errors that control for spatial dependence and several individual-level demographic characteristics and comorbidity conditions. In multivariate models, we find that among individuals with SARS-CoV-2 infection, those living in multi-family housing units and/or in places with higher particulate matter (PM2.5) have a higher incident rate ratio (IRR) of hospitalization. We also find that higher walkability, higher bikeability, and lower public transit access are linked to a lower IRR of hospitalization. In multivariate models, we did not find associations between green space measures and the IRR of hospitalization. Results for non-Hispanic white and Latinx individuals highlight substantial differences: higher PM2.5 levels have stronger positive associations with the IRR of hospitalization for Latinx individuals, and density and overcrowding show stronger associations for non-Hispanic white individuals. Our results show that the neighborhood built environment might pose an independent risk for COVID-19 hospitalization. Our results may inform public health and urban planning initiatives to lower the risk of hospitalization linked to COVID-19 and other respiratory pathogens.

Comparing the efficacy of povidone-iodine and normal saline in incisional wound irrigation to prevent superficial surgical site infection: a randomized clinical trial in gastric surgery

BACKGROUND

Prevention of surgical site infection (SSI) after gastrectomy has received increasing attention. Prophylactic incisional wound irrigation has been advocated to reduce SSI, but the choice of solution remains under debate.

AIMS

To compare the efficacies of wound irrigation with normal saline (NS) and povidone-iodine (PVI) for the prevention of SSI after gastrectomy, and to identify the risk factors for SSI.

METHODS

This randomized, single-centre clinical trial included 340 patients with gastric cancer. They were assigned at random into two groups (ratio 1:1) to receive either 0.9% NS or 1.0% PVI solution for incisional irrigation before wound closure. The primary endpoint was postoperative SSI within 30 days of gastrectomy, and the secondary endpoint was the length of hospital stay.

FINDINGS

In total, 333 patients were included in the modified intent-to-treat group, and the SSI rate did not differ significantly between the PVI group (11/167, 6.59%) and the NS group (9/166, 5.42%) [odds ratio (OR) 1.131, 95% confidence interval (CI) 0.459-3.712; P=0.655]. Moreover, the difference between the two groups in terms of length of hospital stay was not significant (P=0.301). Body mass index (BMI) (OR 2.639, 95% CI 1.040-6.694; P=0.041) and postoperative complications (OR 2.565, 95% CI 1.023-6.431; P=0.045) were identified as independent risk factors for SSI.

CONCLUSIONS

NS and PVI had similar efficacy as prophylactic wound irrigation for the prevention of SSI after gastrectomy. The risk of SSI was higher in patients with high BMI or postoperative complications.

The Relationship between Body Composition and ECG Ventricular Activity in Young Adults

This study aimed to determine the correlation between body composition (measured as weight, body mass index, and body fat percentage (BFP)) and electrocardiographic ventricular parameters (the QT and TQ intervals and the ratios between the electrical diastole and electrical systole (TQ/QT) and between the cardiac cycle and electrical diastole (RR/TQ), both for uncorrected and corrected intervals) in a sample of 50 healthy subjects (age interval 19-23 years, mean age 21.27 ± 1.41 years, 33 women and 17 men). Subjects' measurements were performed with a bioimpedancemetry body composition analyzer and a portable ECG monitor with six leads. Starting from the correlations obtained between the investigated continuous variables, we performed a standard linear regression analysis between the body composition parameters and the ECG ones. Our results revealed that some of our regression models are statistically significant (p < 0.001). Thus, a specific part of the variability of the dependent variables (ECG ventricular activity parameters for corrected QT intervals) is explained by the independent variable BFP. Therefore, body composition influences ventricular electrical activity in young adults, which implies a differentiated interpretation of the electrocardiogram in these situations.

Effect of Attentional Focus on Sprint Performance: A Meta-Analysis

Sprinting is often seen in a variety of sports. Focusing one's attention externally before sprinting has been demonstrated to boost sprint performance. The present study aimed to systematically review previous findings on the impact of external focus (EF), in comparison to internal focus (IF), on sprint performance. A literature search was conducted in five electronic databases (APA PsycINFO, PubMed, Scopus, SPORTDiscus, and Web of Science). A random-effects model was used to pool Hedge's g with 95% confidence intervals (CIs). The meta-analysis included six studies with a total of 10 effect sizes and 166 participants. In general, the EF condition outperformed the IF condition in sprint performance (g = 0.279, 95% CI [0.088, 0.470], p = 0.004). The subgroup analysis, which should be viewed with caution, suggested that the benefits associated with the EF strategy were significant in low-skill sprinters (g = 0.337, 95% CI [0.032, 0.642], p = 0.030) but not significant in high-skill sprinters (g = 0.246, 95% CI [-0.042, 0.533], p = 0.094), although no significant difference was seen between these subgroups (p = 0.670). The reported gain in sprint performance due to attentional focus has practical implications for coaches and athletes, as making tiny adjustments in verbal instructions can lead to significant behavioral effects of great importance in competitive sports.

Latent Profile/Class Analysis Identifying Differentiated Intervention Effects

BACKGROUND

The randomized clinical trial is generally considered the most rigorous study design for evaluating overall intervention effects. Due to patient heterogeneity, subgroup analysis is often used to identify differential intervention effects. In research of behavioral interventions, such subgroups often depend on a latent construct measured by multiple correlated observed variables.

OBJECTIVES

The purpose of this article is to illustrate latent class analysis/latent profile analysis as a helpful tool to characterize latent subgroups, conduct exploratory subgroup analysis, and identify potential differential intervention effects using clinical trial data.

METHODS

After reviewing different approaches for subgroup analysis, latent class analysis/latent profile analysis was chosen to identify heterogeneous patient groups based on multiple correlated variables. This approach is superior in this specific scenario because of its ability to control type I error, assess intersection of multiple moderators, and improve interpretability. We used a case study example to illustrate the process of identifying latent classes as potential moderators based on both clinical and perceived risk scores and then tested the differential effects of health coaching in improving health behavior for patients with elevated risk of developing coronary heart disease.

RESULTS

We identified three classes based on one clinical risk score and four perceived risk measures for individuals with high risk of developing coronary heart disease. Compared to other classes we assessed, individuals in the class with low clinical risk and low perceived risk benefit most from health coaching to improve their physical activity levels.

DISCUSSION

Latent class analysis/latent profile analysis offers a person-centered approach to identifying distinct patient profiles that can be used as moderators for subgroup analysis. This offers tremendous opportunity to identify differential intervention effects in behavioral research.

A Hypoxia Gene-Based Signature to Predict the Survival and Affect the Tumor Immune Microenvironment of Osteosarcoma in Children

Osteosarcoma is a quickly developing, malignant cancer of the bone, which is associated with a bad prognosis. In osteosarcoma, hypoxia promotes the malignant phenotype, which results in a cascade of immunosuppressive processes, poor prognosis, and a high risk of metastasis. Nonetheless, additional methodologies for the study of hyperoxia in the tumor microenvironment also need more analysis. We obtained 88 children patients with osteosarcoma from the Therapeutically Applicable Research to Generate Effective Treatment (TARGET) database and 53 children patients with RNA sequence and clinicopathological data from the Gene Expression Omnibus (GEO). We developed a four-gene signature related to hypoxia to reflect the immune microenvironment in osteosarcoma that predicts survival. A high-risk score indicated a poor prognosis and immunosuppressive microenvironment. The presence of the four-gene signature related to hypoxia was correlated with clinical and molecular features and was an important prognostic predictor for pediatric osteosarcoma patients. In summary, we established and validated a four-gene signature related to hypoxia to forecast recovery and presented an independent prognostic predictor representing overall immune response strength within the osteosarcoma microenvironment.

Clinical and Prognostic Pan-Cancer Analysis of N6-Methyladenosine Regulators in Two Types of Hematological Malignancies: A Retrospective Study Based on TCGA and GTEx Databases

N6-methyladenosine (m6A) is one of the most active modification factors of mRNA, which is closely related to cell proliferation, differentiation, and tumor development. Here, we explored the relationship between the pathogenesis of hematological malignancies and the clinicopathologic parameters. The datasets of hematological malignancies and controls were obtained from the TCGA [AML (n = 200), DLBCL (n = 48)] and GTEx [whole blood (n = 337), blood vascular artery (n = 606)]. We analyzed the m6A factor expression differences in normal tissue and tumor tissue and their correlations, clustered the express obvious clinical tumor subtypes, determined the tumor risk score, established Cox regression model, performed univariate and multivariate analysis on all datasets. We found that the AML patients with high expression of IGF2BP3, ALKBH5, and IGF2BP2 had poor survival, while the DLBCL patients with high expression of METTL14 had poor survival. In addition, "Total" datasets analysis revealed that IGF2BP1, ALKBH5, IGF2BP2, RBM15, METTL3, and ZNF217 were potential oncogenes for hematologic system tumors. Collectively, the expressions of some m6A regulators are closely related to the occurrence and development of hematologic system tumors, and the intervention of specific regulatory factors may lead to a breakthrough in the treatment in the future.