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Polski Przeglad Chirurgiczny Jan 2024<b><br>Introduction:</b> Obesity's associated comorbidities and treatment costs have risen significantly, highlighting the importance of early... (Comparative Study)
Comparative Study Meta-Analysis
<b><br>Introduction:</b> Obesity's associated comorbidities and treatment costs have risen significantly, highlighting the importance of early weight loss strategies. Bariatric surgeries like Roux-en-Y gastric bypass (RYGB) and vertical sleeve gastrectomy (VSG) have been effective in promoting weight loss and improving type 2 diabetes mellitus (T2DM) management.</br> <b><br>Aim:</b> The aim was to determine whether Roux-en-Y gastric bypass is more effective than vertical sleeve gastrectomy in the remission of type 2 diabetes mellitus (T2DM).</br> <b><br>Methods:</b> A systematic review and meta-analysis was performed. A literature search was performed in the databases Web of Science, Medline/PubMed, Embase, Scopus, and Medline/Ovid. A total of 1323 results were identified; after screening, 14 articles were selected and included in the systematic review. Primary and secondary outcomes were measured by RR with a 95% CI.</br> <b><br>Results:</b> The primary outcome of T2DM remission was 15% in favor of VSG (RR: 1.15, [95% CI: 1.04-1.28]). For secondary outcomes, hypertension remission was 7% in favor of VSG (RR: 1.07, [95% CI: 1.00-1.16]). Remission of dyslipidemia was 16% in favor of VSG (RR: 1.16, [95% CI: 1.06-1.26]). BMI after surgery was in favor of RYGB (MD: -1.31, [95% CI: -1.98 to -0.64]). For weight loss, the results favored VSG (MD: 6.50, [95% CI: 4.99-8.01]). In relation to total cholesterol, they were 65% favorable for RYGB (MD: -0.35, [95% CI: -0.46 to -0.24]), with a value of p <0.05. For LDL values, our results were 69% favorable for RYGB (MD: -0.31, [95% CI: -0.45 to -0.16]), p <0.01 value.</br> <b><br>Conclusions:</b> Laparoscopic sleeve gastrectomy is more effective in T2DM remission, hypertension remission, dyslipidemia remission, and weight loss compared to Roux-en-Y gastric bypass. Roux-en-Y gastric bypass is more effective at lowering BMI, total cholesterol, LDL, and TG compared to laparoscopic sleeve gastrectomy.</br>.
Topics: Adult; Female; Humans; Male; Middle Aged; Diabetes Mellitus, Type 2; Gastrectomy; Gastric Bypass; Obesity, Morbid; Remission Induction; Treatment Outcome; Weight Loss
PubMed: 38940248
DOI: 10.5604/01.3001.0054.2674 -
Journal of Arrhythmia Jun 2024Guidelines recommended remote monitoring (RM) in managing patients with Cardiac Implantable Electronic Devices. In recent years, smart device (phone or tablet)...
BACKGROUND
Guidelines recommended remote monitoring (RM) in managing patients with Cardiac Implantable Electronic Devices. In recent years, smart device (phone or tablet) monitoring-based RM (SM-RM) was introduced. This study aims to systematically review SM-RM versus bedside monitor RM (BM-RM) using radiofrequency in terms of compliance, connectivity, and episode transmission time.
METHODS
We conducted a systematic review, searching three international databases from inception until July 2023 for studies comparing SM-RM (intervention group) versus BM-RM (control group).
RESULTS
Two matched studies (21 978 patients) were retrieved (SM-RM arm: 9642 patients, BM-RM arm: 12 336 patients). There is significantly higher compliance among SM-RM patients compared with BM-RM patients in both pacemaker and defibrillator patients. Manyam et al. found that more SM-RM patients than BM-RM patients transmitted at least once (98.1% vs. 94.3%, < .001), and Tarakji et al. showed that SM-RM patients have higher success rates of scheduled transmissions than traditional BM-RM methods (SM-RM: 94.6%, pacemaker manual: 56.3%, pacemaker wireless: 77.0%, defibrillator wireless: 87.1%). There were higher enrolment rates, completed scheduled and patient-initiated transmissions, shorter episode transmission time, and higher connectivity among SM-RM patients compared to BM-RM patients. Younger patients (aged <75) had more patient-initiated transmissions, and a higher proportion had ≥10 transmissions compared with older patients (aged ≥75) in both SM-RM and BM-RM groups.
CONCLUSION
SM-RM is a step in the right direction, with good compliance, connectivity, and shorter episode transmission time, empowering patients to be in control of their health. Further research on cost-effectiveness and long-term clinical outcomes can be carried out.
PubMed: 38939794
DOI: 10.1002/joa3.13054 -
Parkinson's Disease 2024Fatigue is a common and debilitating symptom affecting a significant proportion of individuals with Parkinson's disease (PD), often overshadowing even motor symptoms in... (Review)
Review
Fatigue is a common and debilitating symptom affecting a significant proportion of individuals with Parkinson's disease (PD), often overshadowing even motor symptoms in its impact on quality of life. The accurate definition and assessment of mental fatigue in PD is crucial for both clinical management and research, yet it remains a challenge due to the subjective nature of the symptom and the heterogeneity of assessment scales. This systematic review examined the existing measures of self-reported mental fatigue in PD by searching through PubMed, Embase, and Scopus databases using specific keywords from 2001 to 2024. Out of the 4182 articles found, 40 met the inclusion criteria, and 14 different scales were identified to measure self-reported fatigue in PD patients. However, most of these scales lack a consistent definition of fatigue, indicating a need for validated combinations of unidimensional and multidimensional scales to accurately assess mental fatigue in PD. The review found that it is best to use Fatigue Severity Inventory (FSI) and Multidimensional Fatigue Inventory (MdFI) to screen for severity of PD mental fatigue and Neuro-QoL Item Bank v1.0 (Neuro-QoL) to evaluate its impact on patients' lives. Furthermore, multidimensional scales Parkinson's Disease Questionnaire (PDQ) and Functional Assessment of Chronic Illness Therapy-Fatigue Scale (FACIT-F) are frequently coupled with Fatigue Severity Scale (FSS), Parkinson's Fatigue Scale (PFS), and/or Modified Fatigue Impact Scale (MFIS) due to their short length and holistic coverage of variables in patients' quality of life. Combining fatigue scales can be used for screening and scoring methods. The review also recommends validating fatigue scales translation and combining them with biomarkers to improve the accuracy and effectiveness of fatigue assessment in clinical practice. Future research should analyze correlations between fatigue scales, expand language types, and explore the link between fatigue scales and the pathophysiological basis of PD. Our findings underscore the need for a standardized approach to the measurement of fatigue in PD and set the stage for future research to consolidate assessment tools that can reliably guide treatment strategies and improve patient outcomes.
PubMed: 38939533
DOI: 10.1155/2024/9614163 -
JACC. Advances Feb 2024Antithrombotic therapy (ATT) in patients with infective endocarditis (IE) is challenging.
BACKGROUND
Antithrombotic therapy (ATT) in patients with infective endocarditis (IE) is challenging.
OBJECTIVES
The authors evaluated the impact of anticoagulant and antiplatelet therapy on clinical endpoints in IE patients.
METHODS
We performed a systematic review and meta-analysis comparing IE patients with prior and/or ongoing use of ATT vs those without any ATT during IE course. Primary outcome was reported in-hospital cerebrovascular events. Secondary outcomes were in-hospital mortality, intracranial hemorrhage (ICH), systemic thromboembolism (ST), and mortality within 6 months.
RESULTS
Twelve studies, with a total of 12,151 patients, were included. The primary endpoint was not different comparing 10,115 IE patients with or without prior anticoagulation (OR: 1.10; 95% CI: 0.56-2.17; = 0.77) or comparing 838 IE patients with or without prior antiplatelet (OR: 0.90; 95% CI: 0.61-1.33; = 0.61). In-hospital mortality was lower in IE patients with prior anticoagulation compared to those without (OR: 0.74; 95% CI: 0.57-0.96; = 0.03). There was no difference in reported ICH rates between patients with or without prior anticoagulation (OR: 0.54; 95% CI: 0.27-1.09; = 0.09) or between patients with or without prior antiplatelet (OR: 0.35; 95% CI: 0.11-1.10; = 0.07). The rate of ST was lower in IE patients with prior antiplatelet therapy compared to those without (OR: 0.53; 95% CI: 0.38-0.72; < 0.01).
CONCLUSIONS
ATT in IE patients was not associated with higher frequency of cerebrovascular events or ICH. Moreover, we found that the use of anticoagulation was associated with decreased in-hospital mortality and the use of antiplatelets was associated with decreased ST. Due to the limitations of this study, these results should be interpreted cautiously showing the necessity of a randomized setup.
PubMed: 38939390
DOI: 10.1016/j.jacadv.2023.100768 -
JACC. Advances Feb 2024Cystatin C, neutrophil gelatinase-associated lipocalin (NGAL), and kidney injury molecule (KIM)-1 are renal biomarkers increasingly appreciated for their role in the...
BACKGROUND
Cystatin C, neutrophil gelatinase-associated lipocalin (NGAL), and kidney injury molecule (KIM)-1 are renal biomarkers increasingly appreciated for their role in the risk stratification and prognostication of heart failure (HF) patients. However, very few have been adopted clinically, owing to the lack of consistency.
OBJECTIVES
The authors aimed to study the association between cystatin C, NGAL, and KIM-1 and outcomes, mortality, hospitalizations, and worsening renal function (WRF) in patients with acute and chronic HF.
METHODS
We included peer-reviewed English-language articles from PubMed and EMBASE published up to December 2021. We analyzed the above associations using random-effects meta-analysis. Publication bias was assessed using funnel plots.
RESULTS
Among 2,631 articles, 100 articles, including 45,428 patients, met the inclusion criteria. Top-tertile of serum cystatin C, when compared to the bottom-tertile, carried a higher pooled hazard ratio (pHR) for mortality (pHR: 1.59, 95% CI: 1.42-1.77) and for the composite outcome of mortality and HF hospitalizations (pHR: 1.49, 95% CI: 1.23-1.75). Top-tertile of serum NGAL had a higher hazard for mortality (pHR: 2.91, 95% CI: 1.49-5.67) and composite outcome (HR: 4.11, 95% CI: 2.69-6.30). Serum and urine NGAL were significantly associated with WRF, with pHRs of 2.40 (95% CI: 1.48-3.90) and 2.01 (95% CI: 1.21-3.35). Urine KIM-1 was significantly associated with WRF (pHR: 1.60, 95% CI: 1.24-2.07) but not with other outcomes. High heterogeneity was noted between studies without an obvious explanation based on meta-regression.
CONCLUSIONS
Serum cystatin C and serum NGAL are independent predictors of adverse outcomes in HF. Serum and urine NGAL are important predictors of WRF in HF.
PubMed: 38939376
DOI: 10.1016/j.jacadv.2023.100765 -
Cureus May 2024Non-small cell lung carcinoma (NSCLC) is a prevalent and aggressive form of lung cancer, with a poor prognosis for metastatic disease. Immunotherapy, particularly immune... (Review)
Review
Non-small cell lung carcinoma (NSCLC) is a prevalent and aggressive form of lung cancer, with a poor prognosis for metastatic disease. Immunotherapy, particularly immune checkpoint inhibitors (ICIs), has revolutionized the management of NSCLC, but response rates are highly variable. Identifying reliable predictive biomarkers is crucial to optimize patient selection and treatment outcomes. This systematic review aimed to evaluate the current state of artificial intelligence (AI) and machine learning (ML) applications in predicting the response to immunotherapy in NSCLC. A comprehensive literature search identified 19 studies that met the inclusion criteria. The studies employed diverse AI/ML techniques, including deep learning, artificial neural networks, support vector machines, and gradient boosting methods, applied to various data modalities such as medical imaging, genomic data, clinical variables, and immunohistochemical markers. Several studies demonstrated the ability of AI/ML models to accurately predict immunotherapy response, progression-free survival, and overall survival in NSCLC patients. However, challenges remain in data availability, quality, and interpretability of these models. Efforts have been made to develop interpretable AI/ML techniques, but further research is needed to improve transparency and explainability. Additionally, translating AI/ML models from research settings to clinical practice poses challenges related to regulatory approval, data privacy, and integration into existing healthcare systems. Nonetheless, the successful implementation of AI/ML models could enable personalized treatment strategies, improve treatment outcomes, and reduce unnecessary toxicities and healthcare costs associated with ineffective treatments.
PubMed: 38939246
DOI: 10.7759/cureus.61220 -
Experimental and Therapeutic Medicine Aug 2024Cervical cancer is a major global health concern. Prognostic markers for cervical cancer have traditionally focused on tumor characteristics. However, there is a growing...
Cervical cancer is a major global health concern. Prognostic markers for cervical cancer have traditionally focused on tumor characteristics. However, there is a growing recognition of the importaxnce of the nutritional status of the patient as a possible prognostic indicator. The present meta-analysis aims to estimate the role of the prognostic nutritional index (PNI) in predicting overall survival (OS) and progression-free survival (PFS) in patients with cervical cancer. Medline, Google Scholar, Science Direct and Cochrane Central databases were systematically searched for studies reporting PNI in patients with cervical cancer. Inclusion criteria were applied to select relevant studies and data extraction was performed by two independent investigators. Risk of bias was assessed by the Newcastle-Ottawa Scale (NOS). The present meta-analysis included 10 studies with 2,352 participants. The pooled analysis showed that in patients with cervical cancer PNI did not have a significant prognostic utility in predicting OS [univariate hazard ration (HR): 1.38; 95% confidence interval (CI): 0.77-2.48) or PFS (univariate HR: 1.12; 95% CI: 0.44-2.68). These results were consistent even after adjusting for other confounders using multivariate analysis (pooled HR: 1.06 for OS; 95% CI: 0.64-1.76; pooled HR: 1.22 for PFS; 95% CI: 0.65-2.30). Subgroup analyses were also performed based on region, PNI cut-off, sample size, grade of evidence and treatment protocol and did not demonstrate any significant prognostic value of PNI. The funnel plot demonstrated symmetry, suggesting the absence of publication bias. The present meta-analysis indicated that PNI does not have a significant prognostic utility in predicting OS or PFS in women with cervical cancer. Further research is warranted to explore alternative nutritional indicators and identify reliable prognostic markers in this patient population.
PubMed: 38939175
DOI: 10.3892/etm.2024.12605 -
Journal of Child & Adolescent Trauma Jun 2024Foster care children are a highly vulnerable population and their experiences in care are considered crucial to their developmental and psychosocial wellbeing. Placement...
Foster care children are a highly vulnerable population and their experiences in care are considered crucial to their developmental and psychosocial wellbeing. Placement instability has been considered a possible risk factor for developmental difficulties due to its impact on the development of a reparative attachment relationship and sense of relational permanence. The current review synthesises the literature regarding the impact of placement instability on behavioural and mental health outcomes in foster care children. Three major databases and grey literature sources were searched for all relevant quantitative research published by July 2019. Titles and abstracts of 2419 articles were screened following searches, with full texts obtained for 51 studies and 14 included in the final review. All were subject to quality assessment by two independent reviewers. Results indicated that placement instability was a consistent predictor of externalising behaviour in children, although some evidence was counter-indicative in this regard. There was also evidence to suggest a relationship with internalising behaviours, and mental health difficulties, in particular PTSD symptoms. Methodological quality and design varied between studies which limited direct comparisons. Most notably, there was a lack of consensus on how to quantify and measure placement instability and many studies failed to control for potentially confounding care-related variables. The review highlights that instability seems to result in negative psychological outcomes, although the extent of this relationship remains unclear. The review's findings are discussed with reference to research and clinical implications.
PubMed: 38938940
DOI: 10.1007/s40653-023-00606-1 -
Mayo Clinic Proceedings. Digital Health Jun 2024This study aimed to review the application of natural language processing (NLP) in thyroid-related conditions and to summarize current challenges and potential future...
This study aimed to review the application of natural language processing (NLP) in thyroid-related conditions and to summarize current challenges and potential future directions. We performed a systematic search of databases for studies describing NLP applications in thyroid conditions published in English between January 1, 2012 and November 4, 2022. In addition, we used a snowballing technique to identify studies missed in the initial search or published after our search timeline until April 1, 2023. For included studies, we extracted the NLP method (eg, rule-based, machine learning, deep learning, or hybrid), NLP application (eg, identification, classification, and automation), thyroid condition (eg, thyroid cancer, thyroid nodule, and functional or autoimmune disease), data source (eg, electronic health records, health forums, medical literature databases, or genomic databases), performance metrics, and stages of development. We identified 24 eligible NLP studies focusing on thyroid-related conditions. Deep learning-based methods were the most common (38%), followed by rule-based (21%), and traditional machine learning (21%) methods. Thyroid nodules (54%) and thyroid cancer (29%) were the primary conditions under investigation. Electronic health records were the dominant data source (17/24, 71%), with imaging reports being the most frequently used (15/17, 88%). There is increasing interest in NLP applications for thyroid-related studies, mostly addressing thyroid nodules and using deep learning-based methodologies with limited external validation. However, none of the reviewed NLP applications have reached clinical practice. Several limitations, including inconsistent clinical documentation and model portability, need to be addressed to promote the evaluation and implementation of NLP applications to support patient care in thyroidology.
PubMed: 38938930
DOI: 10.1016/j.mcpdig.2024.03.007 -
JACC. Advances Mar 2024
PubMed: 38938834
DOI: 10.1016/j.jacadv.2024.100842