Categories
Nevin Manimala Statistics

Association between dyslipidemia and cervical intraepithelial neoplasia: A case-control study in south-western Uganda

Afr J Lab Med. 2024 Jul 16;13(1):2374. doi: 10.4102/ajlm.v13i1.2374. eCollection 2024.

ABSTRACT

BACKGROUND: Altered lipid levels may be associated with the development of a number of malignancies, including cancer of the cervix. However, there is limited understanding of this relationship in the rural Ugandan context.

OBJECTIVE: We investigated the connection between dyslipidaemias and cervical intraepithelial neoplasia (CIN) among women attending the cervical cancer clinic at Mbarara Regional Referral Hospital in south-western Uganda.

METHODS: This unmatched case-control study was conducted between December 2022 and February 2023 and included women with CIN (cases) and women without intraepithelial lesions (controls) in a 1:1 ratio. Participants were selected based on cytology and/or histology results, and after obtaining written informed consent. Demographic data were collected, and venous blood was drawn for lipid profile analysis. Dyslipidaemia was defined as: total cholesterol > 200 mg/dL, low-density lipoprotein > 160 mg/dL, triglycerides > 150 mg/dL, or high-density lipoprotein < 40 mg/dL. At diagnosis, cases were categorised as either CIN1 (low grade) or CIN2+ (high grade).

RESULTS: Among the 93 cases, 81 had CIN1, while 12 had CIN2+. Controls had a 13.9% (13/93) prevalence of high triglycerides and cases had a prevalence of 3.2% (3/93; p = 0.016). Reduced high-density lipoprotein was the most prevalent dyslipidaemia among cases (40.9%; 38/93). Statistically significant associations were found between high serum triglycerides and CIN (odds ratio: 1.395, 95% confidence interval: 0.084-1.851, p = 0.007).

CONCLUSION: A notable association was observed between triglyceride dyslipidemia and CIN. Further studies into biochemical processes and interactions between lipids and cervical carcinogenesis are recommended through prospective cohort studies.

WHAT THIS STUDY ADDS: This research provides additional information on the potential role of lipids in cervical carcinogenesis among women in rural Uganda. It also presents the possible prevalence of multimorbidity involving cervical cancer and cardiovascular diseases, particularly in low-resource settings lacking preventive measures against the increasing prevalence of dyslipidaemia.

PMID:39114748 | PMC:PMC11304215 | DOI:10.4102/ajlm.v13i1.2374

Categories
Nevin Manimala Statistics

The impact of targeted local outreach clinics to improve COVID-19 vaccine uptake: controlled interrupted time series in South West England

Arch Public Health. 2024 Aug 7;82(1):118. doi: 10.1186/s13690-024-01341-1.

ABSTRACT

BACKGROUND: Outreach clinics were part of efforts to maximise uptake in COVID-19 vaccination.

METHODS: We used controlled interrupted time series, matching on age, sex, deprivation and vaccination eligibility date, to determine the effect of outreach clinics on time to first COVID-19 vaccine, using a population-based electronic health record database of 914,478 people, from December 2020 to December 2021; people living within 1 mile of each outreach clinics were exposed.

RESULTS: 50% of 288,473 exposed citizens were white British, and 71% were aged 0-49 years. There was no evidence for an overall statistically significant increase in cumulative percentage vaccinated due to the outreach clinic at 6 weeks, with an overall pooled effect estimate of -0.07% (95% CI: -1.15%, 1.02%). The pooled estimate for increased cumulative vaccine uptake varied slightly depending on how the analysis was stratified; by ethnic group it was – 0.12% (95% CI: -0.90%, 0.66%); by age group it was – 0.06% (95% CI: -0.41%, 0.28%); and by deprivation it was 0.03% (95% CI: -0.74%, 0.79%).

CONCLUSIONS: Living within a mile of an outreach clinic was not associated with higher vaccine uptake. Evaluation of future outreach clinics should consider the relative importance of travel amongst other barriers to accessing vaccines.

PMID:39113156 | DOI:10.1186/s13690-024-01341-1

Categories
Nevin Manimala Statistics

Predicting disease recurrence in patients with endometriosis: an observational study

BMC Med. 2024 Aug 7;22(1):320. doi: 10.1186/s12916-024-03508-7.

ABSTRACT

BACKGROUND: Despite surgical and pharmacological interventions, endometriosis can recur. Reliable information regarding risk of recurrence following a first diagnosis is scant. The aim of this study was to examine clinical and survey data in the setting of disease recurrence to identify predictors of risk of endometriosis recurrence.

METHODS: This observational study reviewed data from 794 patients having surgery for pelvic pain or endometriosis. Patients were stratified into two analytic groups based on self-reported or surgically confirmed recurrent endometriosis. Statistical analyses included univariate, followed by multivariate logistic regression to identify risk factors of recurrence, with least absolute shrinkage and selection operator (Lasso) regularisation. Risk-calibrated Supersparse Linear Integer Models (RiskSLIM) and survival analyses (with Lasso) were undertaken to identify predictive features of recurrence.

RESULTS: Several significant features were repeatedly identified in association with recurrence, including adhesions, high rASRM score, deep disease, bowel lesions, adenomyosis, emergency room attendance for pelvic pain, younger age at menarche, higher gravidity, high blood pressure and older age. In the surgically confirmed group, with a score of 5, the RiskSLIM method was able to predict the risk of recurrence (compared to a single diagnosis) at 95.3% and included adenomyosis and adhesions in the model. Survival analysis further highlighted bowel lesions, adhesions and adenomyosis.

CONCLUSIONS: Following an initial diagnosis of endometriosis, clinical decision-making regarding disease management should take into consideration the presence of bowel lesions, adhesions and adenomyosis, which increase the risk of endometriosis recurrence.

PMID:39113136 | DOI:10.1186/s12916-024-03508-7

Categories
Nevin Manimala Statistics

Exploring the association of serum prolactin with serum glucose levels and clinical findings in a cohort of patients with early rheumatoid arthritis

Adv Rheumatol. 2024 Aug 7;64(1):56. doi: 10.1186/s42358-024-00394-8.

ABSTRACT

BACKGROUND: In the context of rheumatoid arthritis and its systemic inflammatory implications, there is an increasing interest in investigating the role of prolactin in the clinical and metabolic aspects of the disease. This study aimed to explore the potential links between serum prolactin levels, serum glucose levels, and the clinical manifestations of arthritis.

METHODS: This exploratory, cross-sectional, observational study focused on women diagnosed with rheumatoid arthritis. The research involved assessing prolactin and blood glucose concentrations, alongside specific clinical traits such as disease-related inflammation, morning stiffness, and fatigue intensity. The presence of changes in serum prolactin (PRL) was initially compared among the groups based on disease activity intensity. Using a multinomial regression analysis, the study analyzed the impact of predetermined clinical and metabolic factors on various categories of prolactin concentration.

RESULTS: Out of the 72 participants included in the study, hyperprolactinemia was detected in 9.1% of the sample. No differences in serum PRL were identified among the evaluated groups based on disease activity. Following multivariate analysis, no statistically significant differences were identified for the outcomes of inflammatory activity and morning stiffness within each PRL category when compared to the reference category for PRL. There was no increased likelihood of encountering blood glucose levels below 100 mg/dl among individuals with higher prolactin concentrations compared to those in the lowest prolactin category (OR 5.43, 95% CI 0.51-58.28). The presence of clinically significant fatigue revealed a higher likelihood of encountering this outcome among patients with intermediate PRL values (prolactin categories 7.76-10.35 with OR 5.18, 95% CI 1.01-26.38 and 10.36-15.29 with OR 6.25, 95% CI 1.2-32.51) when compared to the reference category.

CONCLUSIONS: The study found no discernible correlation between prolactin concentrations and worse scores for inflammatory activity of the disease, nor between prolactin concentrations and serum glucose levels. The findings regarding fatigue should be approached with caution given the exploratory nature of this study.

PMID:39113135 | DOI:10.1186/s42358-024-00394-8

Categories
Nevin Manimala Statistics

The impact of multicentric datasets for the automated tumor delineation in primary prostate cancer using convolutional neural networks on 18F-PSMA-1007 PET

Radiat Oncol. 2024 Aug 7;19(1):106. doi: 10.1186/s13014-024-02491-w.

ABSTRACT

PURPOSE: Convolutional Neural Networks (CNNs) have emerged as transformative tools in the field of radiation oncology, significantly advancing the precision of contouring practices. However, the adaptability of these algorithms across diverse scanners, institutions, and imaging protocols remains a considerable obstacle. This study aims to investigate the effects of incorporating institution-specific datasets into the training regimen of CNNs to assess their generalization ability in real-world clinical environments. Focusing on a data-centric analysis, the influence of varying multi- and single center training approaches on algorithm performance is conducted.

METHODS: nnU-Net is trained using a dataset comprising 161 18F-PSMA-1007 PET images collected from four distinct institutions (Freiburg: n = 96, Munich: n = 19, Cyprus: n = 32, Dresden: n = 14). The dataset is partitioned such that data from each center are systematically excluded from training and used solely for testing to assess the model’s generalizability and adaptability to data from unfamiliar sources. Performance is compared through a 5-Fold Cross-Validation, providing a detailed comparison between models trained on datasets from single centers to those trained on aggregated multi-center datasets. Dice Similarity Score, Hausdorff distance and volumetric analysis are used as primary evaluation metrics.

RESULTS: The mixed training approach yielded a median DSC of 0.76 (IQR: 0.64-0.84) in a five-fold cross-validation, showing no significant differences (p = 0.18) compared to models trained with data exclusion from each center, which performed with a median DSC of 0.74 (IQR: 0.56-0.86). Significant performance improvements regarding multi-center training were observed for the Dresden cohort (multi-center median DSC 0.71, IQR: 0.58-0.80 vs. single-center 0.68, IQR: 0.50-0.80, p < 0.001) and Cyprus cohort (multi-center 0.74, IQR: 0.62-0.83 vs. single-center 0.72, IQR: 0.54-0.82, p < 0.01). While Munich and Freiburg also showed performance improvements with multi-center training, results showed no statistical significance (Munich: multi-center DSC 0.74, IQR: 0.60-0.80 vs. single-center 0.72, IQR: 0.59-0.82, p > 0.05; Freiburg: multi-center 0.78, IQR: 0.53-0.87 vs. single-center 0.71, IQR: 0.53-0.83, p = 0.23).

CONCLUSION: CNNs trained for auto contouring intraprostatic GTV in 18F-PSMA-1007 PET on a diverse dataset from multiple centers mostly generalize well to unseen data from other centers. Training on a multicentric dataset can improve performance compared to training exclusively with a single-center dataset regarding intraprostatic 18F-PSMA-1007 PET GTV segmentation. The segmentation performance of the same CNN can vary depending on the dataset employed for training and testing.

PMID:39113123 | DOI:10.1186/s13014-024-02491-w

Categories
Nevin Manimala Statistics

Effects of exercise intervention on balance function in children with cerebral palsy: a systematic review and meta-analysis of randomized controlled trials

BMC Sports Sci Med Rehabil. 2024 Aug 7;16(1):164. doi: 10.1186/s13102-024-00922-5.

ABSTRACT

OBJECTIVE: To determine the effectiveness of exercise intervention on postural balance, gait parameters, and muscle strength in children with cerebral palsy by quantifying the information from randomized controlled trials (RCTs).

METHODS: We conducted a systematical search for RCTs from the databases, including PubMed, ISI Web of Science, and Scopus using a between-group design involving children with cerebral palsy and assessing the effect of exercise intervention on postural balance, gait parameters, and muscle strength. The specified inclusion criteria were determined by the PICOS tool. The outcomes of included studies were evaluated by meta-analysis, and subgroup and sensitivity analyses were conducted to analyze the observed heterogeneities using Review Manager 5.4 and Stata version 18.0. The revised Cochrane risk of bias tool for randomized trials (RoB 2) was used to evaluate the risk of bias and quality of the included studies.

RESULTS: Twenty-four studies were included in this meta-analysis, with 579 children with cerebral palsy. Exercise intervention showed a statistically significant favorable effect on gross motor function (SMD = 0.32; 95%CI [0.03 to 0.61]; I2 = 16%), anteroposterior stability index (SMD = -0.93; 95%CI [-1.69 to -0.18]; I2 = 80%), and mediolateral stability index (SMD = -0.60; 95%CI [-1.16 to -0.03]; I2 = 73%) compared to control group among children with cerebral palsy. None of the above meta-analyses exhibited publication bias, as indicated by Egger’s test with p-values greater than 0.05 for all.

CONCLUSIONS: Exercise is effective in improving gross motor function and balance in children with cerebral palsy. Due to the lack of studies examining the efficacy of each exercise type, we are unable to provide definitive training recommendations.

PMID:39113106 | DOI:10.1186/s13102-024-00922-5

Categories
Nevin Manimala Statistics

Garlic consumption can reduce the risk of dyslipidemia: a meta-analysis of randomized controlled trials

J Health Popul Nutr. 2024 Aug 7;43(1):113. doi: 10.1186/s41043-024-00608-1.

ABSTRACT

BACKGROUND AND PURPOSE: Garlic is used as an important medicinal food for treatment of many diseases, however, the association between garlic consumption and dyslipidemia have yielded inconsistent results. So we carried this meta-analysis to explore the blood lipid-lowering effects of garlic.

METHODS: Databases such as PubMed, Scopus, Web of science, Embase, Cochrane Library were systematically searched until June 2024. Heterogeneity among studies was examined using Q and I2 statistics. Also subgroup analysis were conducted to explore the potential heterogeneity. Combined weighted mean differences (WMD) with their 95% confidence interval (CI) were calculated using a random-effects model. The GRADE approach was used to evaluate the overall certainty of the evidence in the meta-analyses.

RESULTS: A total of 21 RCTs studies involved association between garlic consumption and blood lipids level of dyslipidemia patients were included in the meta-analysis. The pooled results showed that garlic consumption significantly reduced total cholesterol (TC)(WMD = -0.64mmol/L, 95%CI = -0.75 –0.54, P < 0.001), triglyceride (TG)(WMD = -0.17mmol/L, 95%CI = -0.26 –0.09, P < 0.001), low-density lipoprotein(LDL-C)(WMD = -0.44mmol/L, 95%CI = -0.57 –0.31, P < 0.001) while slightly increased high-density lipoprotein (HDL-C)(WMD = 0.04mmol/L, 95%CI = -0.00 – 0.08, P < 0.001). And subgroup analyses showed that TC, TG and LDL-C significantly decreased in patients aged > 50 years compared to those aged ≤ 50 years. And garlic oil greatly reduced TC and LDL-C compared with garlic power. Finally, sensitivity analysis and publication bias showed that the results were reliable.

CONCLUSIONS: Evidence from this meta-analysis suggested that garlic consumption could be effective in reducing the risk of dyslipidemia and preventing CVDs. Particularly the older people were more susceptible to the protective effects of garlic.

PMID:39113105 | DOI:10.1186/s41043-024-00608-1

Categories
Nevin Manimala Statistics

The effect of cinnamon supplementation on eating disorder indices among people suffering from binge eating disorder: a randomized controlled trial

BMC Nutr. 2024 Aug 7;10(1):109. doi: 10.1186/s40795-024-00916-z.

ABSTRACT

BACKGROUND: Binge eating disorder is one of the main eating disorders that is characterized by recurrent binge eating episodes that lead to complications like high blood pressure, diabetes, dyslipidemia, etc. Many psychological and biological factors can lead to binge eating disorder and one of the main physiological reasons is insulin resistance. Cinnamon is an old favorite that has positive effects on insulin sensitivity. So, we examined the effect of cinnamon on binge eating disorder in this study.

METHODS: This study was conducted on 40 binge eating disorder patients with a BMI between 25 and 39.9 kg/m2. They were divided into two groups one of them consumed 6 g of cinnamon per day while the other group consumed 6 g of white wheat as a placebo. Before and after the study we examined weight, height, Body Shape Questionnaire (BSQ), and Binge Eating Scale (BES) scale in all participants and did the statistical analysis.

RESULTS: There were no significant differences in baseline characteristics, gender, height, weight, BMI, education, and marriage status between the two groups. There were no significant changes between BSQ, BES, weight, and height after the study either.

CONCLUSION: According to our findings, although the weight of the patients in the cinnamon group decreased significantly, after the end of the study, no significant difference was observed in the weight, BMI, and BAS and BSQ indices between the two groups.

TRIAL REGISTRATION: The study protocol was registered in the Iran Registry of Clinical Trials (IRCT) center (IRCT code: IRCT20090822002365N26, Registration date: 2021/11/7).

PMID:39113092 | DOI:10.1186/s40795-024-00916-z

Categories
Nevin Manimala Statistics

Association of serum thyroid-stimulating hormone and bone mineral density in Chinese adults with normal thyroid function

Nutr Metab (Lond). 2024 Aug 7;21(1):62. doi: 10.1186/s12986-024-00841-9.

ABSTRACT

PURPOSE: This study aims to investigate the association of serum TSH with BMD in Chinese adults with normal thyroid function.

METHODS: These participants were divided into tertiles based on serum TSH levels. Linear regression model and multinomial logistic regression models were used to analyze the associations of continuous BMD and categorical BMD with serum TSH, respectively.

RESULTS: In women younger than 60 years, BMD decreased with the increase of TSH at normal level, while in women older than 60 years, BMD increased with the increase of TSH at normal level; besides, the BMD of women younger than 60 years old was significantly higher than that of women over 60 years old (156.05 ± 39.34 mg/cm3 vs. 86.95 ± 29.51 mg/cm3, P < 0.001). Linear regression results showed negative associations of BMD and normal TSH level in women with age younger than 60 years (β=-4.34, P < 0.001), but this inverse trend was observed in women over 60 years old (β = 2.04, P = 0.041). Both in men younger than 60 years and over 60 years old, BMD decreased with the increase of TSH at normal levels; besides, the BMD of men younger than 60 years was significantly higher than those over 60 years old (143.08 ± 32.76 mg/cm3 vs. 108.13 ± 31.99 mg/cm3, P < 0.001).

CONCLUSIONS: The results demonstrated an opposite trend in BMD at normal TSH levels in younger and elder females, that is, in females younger than 60 years, BMD decreased with the increase of TSH, which indicated that TSH might play a different role in younger and elder females. However, this trend was not significant in males.

PMID:39113084 | DOI:10.1186/s12986-024-00841-9

Categories
Nevin Manimala Statistics

Discrepancies between general and central obesity in arterial stiffness: observational studies and Mendelian randomization study

BMC Med. 2024 Aug 7;22(1):325. doi: 10.1186/s12916-024-03546-1.

ABSTRACT

BACKGROUND: Obesity has been linked to arterial stiffness, while no consensus was reached on the association. We aimed to clarify the association of general and central obesity with arterial stiffness by combining observational studies and Mendelian randomization (MR) study.

METHODS: Two cross-sectional studies were performed in UK Biobank and Fuqing Cohort, respectively. Two-sample MR study was conducted using summary data of GWASs from GIANT consortium and UK Biobank. General obesity and central obesity were measured using body mass index (BMI) and waist circumference (WC), respectively. Arterial stiffness was measured by arterial stiffness index (ASI) in UK Biobank or branchial-ankle pulse wave velocity (baPWV) in Fuqing Cohort.

RESULTS: Two observational studies found a consistent positive association of BMI and WC with arterial stiffness when adjusting for age, sex, education, smoking, alcohol drinking, physical activity, and LDL cholesterol. However, when additionally adjusting for metabolic traits (i.e., systolic blood pressure, diastolic blood pressure, blood glucose, triglycerides, high-density lipoprotein cholesterol, and WC or BMI), the association with BMI changed to be inverse. As compared to the lowest quintile group, the adjusted ORs across groups of second to fifth quintile were 0.93, 0.90, 0.83, and 0.72 in UK Biobank and 0.88, 0.65, 0.63, and 0.50 in Fuqing Cohort. In contrast, the positive relationship with WC remained stable with the adjusted ORs of 1.23, 1.46, 1.60, and 1.56 in UK Biobank and 1.35, 1.44, 1.77, and 1.64 in Fuqing Cohort. MR analyses provided supportive evidence of the negative association with BMI (OR = 0.97, 95%CI = 0.94-1.00) and the positive association with WC (OR = 1.14, 95%CI = 1.08-1.20).

CONCLUSIONS: Observational and genetic analyses provide concordant results that central obesity is independently related to arterial stiffness, while the role of general obesity depends on metabolic status.

PMID:39113079 | DOI:10.1186/s12916-024-03546-1