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Nevin Manimala Statistics

The role of NSAID in mediating the effect of genetically predicted major depressive disorder on osteomyelitis: A Mendelian randomization study

J Affect Disord. 2023 Aug 25:S0165-0327(23)01101-1. doi: 10.1016/j.jad.2023.08.121. Online ahead of print.

ABSTRACT

BACKGROUND: Osteomyelitis and major depressive disorder (MDD) are significant health concerns with potential interconnections. However, the underlying mechanisms linking these conditions remain unknown. This study aimed to investigate the potential mediating role of non-steroidal anti-inflammatory drug (NSAID) medication in the association between MDD and the risk of osteomyelitis.

METHODS: We utilized summary data from large-scale genome-wide association studies (GWAS) to perform Mendelian randomization (MR) mediation analysis. Instrumental variables were selected based on genome-wide significance, and instrumental strength was assessed using F-statistics. Univariable and multivariable MR analyses were conducted to estimate causal effects and proportions mediated by NSAID medication.

RESULTS: The univariable MR analysis revealed significant associations between MDD and osteomyelitis (odds ratio [OR] = 1.44, 95 % confidence interval [CI]: 1.18-1.874) and between MDD and NSAID medication (OR = 1.36, 95 % CI 1.24-1.49). In the multivariable MR analysis, the direct effect of MDD on osteomyelitis was OR 1.35 (95 % CI: 1.09, 1.67) after adjusting for NSAID medication. The proportion of mediation by NSAID medication was 23 % (95 % CI: 0.05 %, 38.6 %).

CONCLUSION: This MR study provides evidence for a genetically predicted causal association between MDD, NSAID medication, and osteomyelitis. The findings emphasize the need for a comprehensive approach in managing individuals with comorbid depression and osteomyelitis, considering the potential risks and benefits of NSAID medication. Future research should address limitations and explore additional mediators and confounding factors to enhance understanding of this complex relationship.

PMID:37634817 | DOI:10.1016/j.jad.2023.08.121

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Nevin Manimala Statistics

Influential Radiology Figures and Organizations in Social Media

J Am Coll Radiol. 2023 Aug 25:S1546-1440(23)00628-2. doi: 10.1016/j.jacr.2023.02.037. Online ahead of print.

ABSTRACT

OBJECTIVE: With social media becoming a vibrant hub for the radiology community, highlighting expert leaders and trustful conduits of information in the virtual field is proving crucial. This study aimed to identify and describe the most prominent and influential figures and organizational accounts to follow in radiology.

METHODS: Influence scores for the topic “Radiology” on Twitter were computed using Right Relevance machine learning service. Top influencers were classified according to gender, geography, physician degree, areas of influence, sub-specialization, influence score, title, affiliated institution, dual degree, medical school origin, content type, and research activity. Statistical analysis was performed assessing variable correlations.

RESULTS: In the top quartile of influential figures, 87% were physicians, 60% males, and 93% located in the United States. Prevalent backgrounds included: neuroradiology (21%), abdominal imaging (12%), and artificial intelligence (11%). Of the top 100 figures, 81% were US graduates, 97% holding medical degrees, and 28% with dual degrees. 58% provided educational content. A majority held leadership positions (58%) and academic professorship titles (70%). Median h-index, publication, and citation numbers were 14, 49, and 881, respectively. No significant correlation was noted between influence score and academic rank or research output.

DISCUSSION: Virtual presence is becoming integral to our healthcare professions and academic spheres, unfolding great potential for enhancing the sense of belonging, advocacy, recruitment, and fostering new relationships. Having a core of influential leaders and organizations to follow can serve as a resource for the community members and aspiring students building a positive connected basis for radiology’s thriving future.

PMID:37634801 | DOI:10.1016/j.jacr.2023.02.037

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Nevin Manimala Statistics

Evaluation of different algorithms for automatic segmentation of head-and-neck lymph nodes on CT images

Radiother Oncol. 2023 Aug 25:109870. doi: 10.1016/j.radonc.2023.109870. Online ahead of print.

ABSTRACT

PURPOSE: To investigate the performance of 4 atlas-based (multi-ABAS) and 2 deep learning (DL) solutions for head-and-neck (HN) elective nodes (CTVn) automatic segmentation (AS) on CT images.

MATERIAL AND METHODS: Bilateral CTVn levels of 69 HN cancer patients were delineated on contrast-enhanced planning CT. Ten and 49 patients were used for atlas library and for training a mono-centric DL model, respectively. The remaining 20 patients were used for testing. Additionally, three commercial multi-ABAS methods and one commercial multi-centric DL solution were investigated. Quantitative evaluation was assessed using volumetric Dice Similarity Coefficient (DSC) and 95-percentile Hausdorff distance (HD95%). Blind evaluation was performed for 3 solutions by 4 physicians. One recorded the time needed for manual corrections. A dosimetric study was finally conducted using automated planning.

RESULTS: Overall DL solutions had better DSC and HD95% results than multi-ABAS methods. No statistically significant difference was found between the 2 DL solutions. However, the contours provided by multi-centric DL solution were preferred by all physicians and were also faster to correct (1.1min vs 4.17min, on average). Manual corrections for multi-ABAS contours took on average 6.52min Overall, decreased contour accuracy was observed from CTVn2 to CTVn3 and to CTVn4. Using the AS contours in treatment planning resulted in underdosage of the elective target volume.

CONCLUSION: Among all methods, the multi-centric DL method showed the highest delineation accuracy and was better rated by experts. Manual corrections remain necessary to avoid elective target underdosage. Finally, AS contours help reducing the workload of manual delineation task.

PMID:37634765 | DOI:10.1016/j.radonc.2023.109870

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Nevin Manimala Statistics

An in-depth association analysis of genetic variants within nicotine-related loci: Meeting in middle of GWAS and genetic fine-mapping

Mol Cell Neurosci. 2023 Aug 25:103895. doi: 10.1016/j.mcn.2023.103895. Online ahead of print.

ABSTRACT

In the last two decades of Genome-wide association studies (GWAS), nicotine-dependence-related genetic loci (e.g., nicotinic acetylcholine receptor – nAChR subunit genes) are among the most replicable genetic findings. Although GWAS results have reported tens of thousands of SNPs within these loci, further analysis (e.g., fine-mapping) is required to identify the causal variants. However, it is computationally challenging for existing fine-mapping methods to reliably identify causal variants from thousands of candidate SNPs based on the posterior inclusion probability. To address this challenge, we propose a new method to select SNPs by jointly modeling the SNP-wise inference results and the underlying structured network patterns of the linkage disequilibrium (LD) matrix. We use adaptive dense subgraph extraction method to recognize the latent network patterns of the LD matrix and then apply group LASSO to select causal variant candidates. We applied this new method to the UK biobank data to identify the causal variant candidates for nicotine addiction. Eighty-one nicotine addiction-related SNPs (i.e.,-log(p) > 50) of nAChR were selected, which are highly correlated (average r2>0.8) although they are physically distant (e.g., >200 kilobase away) and from various genes. These findings revealed that distant SNPs from different genes can show higher LD r2 than their neighboring SNPs, and jointly contribute to a complex trait like nicotine addiction.

PMID:37634742 | DOI:10.1016/j.mcn.2023.103895

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Nevin Manimala Statistics

Retrieval of aerosol optical properties from GOCI-II observations: Continuation of long-term geostationary aerosol monitoring over East Asia

Sci Total Environ. 2023 Aug 25:166504. doi: 10.1016/j.scitotenv.2023.166504. Online ahead of print.

ABSTRACT

Since the Geostationary Ocean Color Imager (GOCI) was successfully launched in 2010, the GOCI Yonsei aerosol retrieval (YAER) algorithm has been continuously updated to retrieve hourly aerosol optical properties. GOCI-II has 4 more channels including UV, finer spatial resolution (250 m), and daily full disk coverage as compared to GOCI, and was launched in February 2020, onboard the GEO-KOMPSAT-2B (GK-2B) satellite. In this study, we extended the YAER algorithm to GOCI-II data based on its improved performance in many aspects and present the first results of aerosol optical properties retrieved from GOCI-II data. Utilizing the overlapping period between the GOCI-II and GOCI in geostationary Earth orbit, we present GOCI-II aerosol retrievals for high aerosol-loading cases over East Asia and show that these have a consistent spatial distribution with those from GOCI. Furthermore, GOCI-II provides AOD at an even higher spatial resolution, revealing finer changes in aerosol concentrations. Validation results for one year data show that the GOCI-II AOD has a correlation coefficient of 0.83 and a ratio within the expected error (EE) of 59.4 % when compared with the aerosol robotic network (AERONET) data. We compared statistical metrics for the GOCI and GOCI-II AODs to assess the consistency between the two datasets. In addition, it was found that there is a strong correlation between the two datasets from the comparison of gridded GOCI and GOCI-II AOD products. It is expected that data from GOCI-II will continue long-term aerosol records with high accuracy that can be used to address air-quality issues over East Asia.

PMID:37634717 | DOI:10.1016/j.scitotenv.2023.166504

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Nevin Manimala Statistics

Glenohumeral Superior Translation and Subacromial Contract Pressure are Both Improved with Superior Capsular Reconstruction: A Systematic Review and Meta-Analysis of Biomechanical Investigations

Arthroscopy. 2023 Aug 25:S0749-8063(23)00679-5. doi: 10.1016/j.arthro.2023.08.025. Online ahead of print.

ABSTRACT

PURPOSE: To review cadaveric studies evaluating the biomechanical outcomes of superior capsular reconstruction (SCR) with different graft types for the treatment of irreparable rotator cuff tears (RTC tears).

METHODS: PubMed, Cochrane, and Embase were queried in January 2022 to conduct this meta-analysis using the following keywords: “superior capsule reconstruction,” “superior capsular reconstruction,” and “biomechanics.” Articles were included if they reported glenohumeral superior translation or subacromial contact pressure following SCR in cadaveric RTC tears. The review adhered to the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) criteria. Number of shoulders, graft types, and biomechanical outcomes were recorded and analyzed with forest plots.

RESULTS: Twelve studies (95 shoulders) were included in the statistical analysis. There was a significant reduction in glenohumeral superior translation following SCR compared to RTC tear across 10 studies (79 shoulders) with standardized mean difference (SMD) -2.48mm [-3.28mm, -1.69mm]. The SMD between fascia lata graft and RTC tear was -3.84mm [-4.82mm, -2.86mm] and between dermal allograft and RTC tear was -2.05mm [-3.10mm, -1.00mm]. There was a significant reduction in subacromial contact pressure following SCR compared to RTC tear across 5 studies (55 shoulders) with SMD -3.49 MPa [-4.54 MPa, -2.44 MPa]. The SMD between fascia lata graft and RTC tear was -3.21 MPa [-5.08 MPa, -1.34 MPa] and between dermal allograft and RTC tear was -3.89 MPa [-5.91 MPa, -1.87 MPa].

CONCLUSION: Independent of graft type, biomechanical studies suggest that SCR improves glenohumeral superior translation and subacromial contact pressure in comparison to RTC tear at time zero. There was no definitive evidence identified in this study to suggest a biomechanically superior SCR graft option.

CLINICAL RELEVANCE: Investigating the biomechanical outcomes of several graft types for superior capsular reconstruction will help surgeons better understand the efficacies of different graft types for use in superior capsule reconstruction surgery.

PMID:37634706 | DOI:10.1016/j.arthro.2023.08.025

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Nevin Manimala Statistics

No evidence of important difference in summary treatment effects between COVID-19 preprints and peer-reviewed publications: a meta-epidemiological study

J Clin Epidemiol. 2023 Aug 25:S0895-4356(23)00216-0. doi: 10.1016/j.jclinepi.2023.08.011. Online ahead of print.

ABSTRACT

OBJECTIVE: Preprints became a major source of research communication during the COVID-19 pandemic. We aimed to evaluate whether summary treatment effect estimates differ between preprint and peer-reviewed journal trials.

STUDY DESIGN AND SETTING: A meta-epidemiological study. Data were derived from the COVID-NMA living systematic review (covid-nma.com) up to July 20, 2022. We identified all meta-analyses evaluating pharmacological treatments vs. standard of care/placebo for patients with COVID-19 that included at least one preprint and one peer-reviewed journal article. Difference in effect estimates between preprint and peer-reviewed journal trials were estimated by the ratio of odds ratio (ROR); ROR < 1 indicated larger effects in preprint trials.

RESULTS: Thirty-seven meta-analyses including 114 trials (44 preprints, 70 peer-reviewed publications) were selected. The median number of RCTs per meta-analysis was 2 (IQR, 2-4; maximum, 11), median sample size of RCTs was 199 (IQR, 99-478). Overall, there was no statistically significant difference in summary effect estimates between preprint and peer-reviewed journal trials (ROR, 0.88; 95% CI, 0.71-1.09; I2 = 17.8%; τ2= 0.06).

CONCLUSION: We did not find an important difference between summary treatment effects of preprints and summary treatment effects of peer-reviewed publications. Systematic reviewers and guideline developers should assess preprint inclusion individually, accounting for risk of bias and completeness of reporting.

PMID:37634703 | DOI:10.1016/j.jclinepi.2023.08.011

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Nevin Manimala Statistics

Mediterranean-style diet and intracranial large artery stenosis in the Northern Manhattan Study

J Stroke Cerebrovasc Dis. 2023 Aug 25;32(10):107252. doi: 10.1016/j.jstrokecerebrovasdis.2023.107252. Online ahead of print.

ABSTRACT

OBJECTIVES: Given Mediterranean-style diet (MeDi) reduces risk of cardiovascular events, we hypothesized MeDi may also be protective against intracranial large artery stenosis (ICAS), a common cause of stroke worldwide.

METHODS: This cross-sectional study included stroke-free participants of the Northern Manhattan Study, a diverse population-based study of stroke risk factors. We represented MeDi continuously (range 0-8) based on enrollment food frequency questionnaires, excluding alcohol consumption. We evaluated ICAS both dichotomously at clinically relevant stenosis severities and continuously as a score (possible range 0-44), summated from stenosis severity scores of major intracranial arteries from time-of-flight magnetic resonance angiography. We used logistic or zero-inflated Poisson regression, adjusting for key confounders.

RESULTS: Among 912 included participants (mean age 64±8 years, 59% female, 65% Hispanic, mean MeDi score 4±1.5), 5% and 8% of participants had ≥50% or ≥70% ICAS, respectively (score median [interquartile range]: 0 [0-2]). Increased MeDi score was inversely associated with ICAS, but did not reach statistical significance (≥50% stenosis odds ratio (OR) [95% confidence interval (CI)]: 0.89 [0.79-1.06]; ≥70% stenosis OR [95% CI]: 0.91 [0.74-1.13]; stenosis score β-estimate [95% CI]: -0.02 [-0.06-0.01]).

CONCLUSION: In this stroke-free subsample, we did not find a significant association between MeDi and ICAS. We may have been limited by statistical power.

PMID:37634256 | DOI:10.1016/j.jstrokecerebrovasdis.2023.107252

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Nevin Manimala Statistics

Questionnaire for the Perception of Psychotherapy Process by the Psychotherapist (QPPP) – a preliminary presentation of a research tool

Psychiatr Pol. 2023 Jun 11:1-15. doi: 10.12740/PP/OnlineFirst/162574. Online ahead of print.

ABSTRACT

OBJECTIVES: The emotional reactions of therapist in the treatment process constitute the core of therapeutic work, but they are poorly represented in research area. The article presents the results of work on the creation of a new tool the Questionnaire for the Perception of Psychotherapy Process by the Psychotherapist (QPPP).

METHODS: The Questionnaire containing 267 statements assessing cognitive, affective and behavioural reactions of psychotherapists in interaction with a specific patient was uploaded on the website. The link to the website, together with a request to complete the questionnaire, was sent to the members of the Psychotherapeutic Societies. The study involved 159 therapists, working mainly psychodynamically (91.95%). The analysis of basic descriptive statistics of test items and exploratory factor analysis by principal components method with varimax rotation were used.

RESULTS: The work resulted in creating a tool consisting of 75 items grouped into 6 scales: Positive cooperation with the patient, Therapist burdened with commitment, Therapist in the centre of negative interest, Therapist with no room for intervention, The overwhelmed/overloaded therapist, The helpless/disengaged therapist. High alpha-Cronbach reliability of all distinguished factors was demonstrated at the level from 0.79 to 0.94. The data analysis also made it possible to create initial sten standards for therapists working in the psychodynamic approach.

CONCLUSIONS: A tool was developed to assess emotions of therapist in relation to client. QPPP contains generally understandable terminology, independent of the therapist’s dominant modality. The questionnaire can have many practical applications – both scientific and clinical.

PMID:37634252 | DOI:10.12740/PP/OnlineFirst/162574

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Nevin Manimala Statistics

The global health and economic impact of low-back pain attributable to occupational ergonomic factors in the working-age population by age, sex, geography in 2019

Scand J Work Environ Health. 2023 Aug 27:4116. doi: 10.5271/sjweh.4116. Online ahead of print.

ABSTRACT

OBJECTIVE: Occupational ergonomic factors (OEF) include physical exertion, demanding posture, repetitive work, hand-arm vibration, kneeling or squatting, rising, and climbing, which are risk factors for low-back pain (LBP). This study aimed to examine the prevalence, years lived with disability (YLD), healthcare costs, and productivity losses of LBP attributable to OEF by age, sex, World Health Organization region, and country in 2019.

METHODS: In this cross-sectional study, prevalence and YLD were extracted from the Global Burden of Diseases, Injuries, and Risk Factors Study 2019. Employment statistics were obtained from the International Labor Organization websites. Health and economic impact was estimated for 192 countries and territories using the population attributable fraction method.

RESULTS: Globally, OEF were responsible for 126.1 million prevalent cases of LBP and 15.1 million YLD in the working-age population (aged 15-84 years) in 2019, with the Western Pacific region suffering most. OEF-attributable LBP led to $216.1 billion of economic losses worldwide. Of these, $47.0 billion were paid in healthcare costs, with the public sector serving as the largest contributor (59.2%). High-income countries bore >70% of global economic burden, whereas middle-income countries experienced >70% of global YLD. Generally, more prevalent cases and healthcare costs were found among females, whereas more YLD, productivity losses, and total costs were found among males.

CONCLUSIONS: Globally, OEF-attributable LBP presented a heavy burden on health and economic systems. Exercise together with education, active monitoring, evidence-based medical practices, alternative cost-effective solutions, and prioritizing health policies are needed.

PMID:37634250 | DOI:10.5271/sjweh.4116