Tag: nevin manimala

Syst Rev. 2024 Feb 17;13(1):69. doi: 10.1186/s13643-024-02472-w.

ABSTRACT

Systematic reviews and meta-analyses typically require significant time and effort. Machine learning models have the potential to enhance screening efficiency in these processes. To effectively evaluate such models, fully labeled datasets-detailing all records screened by humans and their labeling decisions-are imperative. This paper presents the creation of a comprehensive dataset for a systematic review of treatments for Borderline Personality Disorder, as reported by Oud et al. (2018) for running a simulation study. The authors adhered to the PRISMA guidelines and published both the search query and the list of included records, but the complete dataset with all labels was not disclosed. We replicated their search and, facing the absence of initial screening data, introduced a Noisy Label Filter (NLF) procedure using active learning to validate noisy labels. Following the NLF application, no further relevant records were found. A simulation study employing the reconstructed dataset demonstrated that active learning could reduce screening time by 82.30% compared to random reading. The paper discusses potential causes for discrepancies, provides recommendations, and introduces a decision tree to assist in reconstructing datasets for the purpose of running simulation studies.

PMID:38368379 | DOI:10.1186/s13643-024-02472-w

Nat Commun. 2024 Feb 17;15(1):1471. doi: 10.1038/s41467-024-45719-9.

ABSTRACT

How paracrine signals are interpreted to yield multiple cell fate decisions in a dynamic context during human development in vivo and in vitro remains poorly understood. Here we report an automated tracking method to follow signaling histories linked to cell fate in large numbers of human pluripotent stem cells (hPSCs). Using an unbiased statistical approach, we discover that measured BMP signaling history correlates strongly with fate in individual cells. We find that BMP response in hPSCs varies more strongly in the duration of signaling than the level. However, both the level and duration of signaling activity control cell fate choices only by changing the time integral. Therefore, signaling duration and level are interchangeable in this context. In a stem cell model for patterning of the human embryo, we show that signaling histories predict the fate pattern and that the integral model correctly predicts changes in cell fate domains when signaling is perturbed. Our data suggest that mechanistically, BMP signaling is integrated by SOX2.

PMID:38368368 | DOI:10.1038/s41467-024-45719-9

BMC Surg. 2024 Feb 17;24(1):62. doi: 10.1186/s12893-024-02359-6.

ABSTRACT

BACKGROUND: Hepatic artery thrombosis (HAT) is one of the critical conditions after an orthotopic liver transplant (OLT) and leads to severe problems if not corrected promptly. However, multiple treatments have been proposed for HAT, in which surgical revascularization with either auto-hepatic conduit interposition (AHCI) or revision of the anastomosis is more familiar indeed indicated for some patients and in specific situations. In this study, we want to evaluate the success and outcomes of treating early HAT (E-HAT), which defines HAT within 30 days after OLT with either of the surgical revascularization techniques.

METHOD: In this retrospective study, we collected information from the medical records of patients who underwent either of the surgical revascularization procedures for E-HAT after OLT. Patients who needed early retransplantation (RT) or died without surgical intervention for E-HAT were excluded. Demographic data, OLT surgery information, and data regarding E-HAT were gathered. The study outcomes were secondary management for E-HAT in case of improper inflow, biliary complications (BC), RT, and death.

RESULTS: A total of 37 adult patients with E-HAT after OLT included in this study. These E-HATs were diagnosed within a mean of 4.6 ± 3.6 days after OLT. Two patients had their HA revised for the initial management of E-HAT; however, it changed to AHCI intraoperatively and finally needed RT. Two and nine patients from the AHCI and revision groups had re-thrombosis (12.5% vs. 47.3%, respectively, p = 0.03). RT was used to manage rethrombosis in all patients of AHCI and two patients of the revision group (22.2%). In comparison to the AHCI, revision group had statistically insignificant higher rates of BC (47.4% vs. 31.2%); however, RT for nonvascular etiologies (12.5% vs. 5.3%) and death (12.5% vs. 10.5%) were nonsignificantly higher in AHCI group. All patients with more than one HA exploration who were in the revision group had BC; however, 28.5% of patients with just one HA exploration experienced BC (p < 0.001).

CONCLUSION: Arterial conduit interposition seems a better approach for the initial management of E-HAT in comparison to revision of the HA anastomosis due to the lower risk of re-thrombosis and the number of HA explorations; indeed, BC, RT, and death remain because they are somewhat related to the ischemic event of E-HAT than to a surgical treatment itself.

PMID:38368356 | DOI:10.1186/s12893-024-02359-6

J Neuroinflammation. 2024 Feb 17;21(1):52. doi: 10.1186/s12974-024-03036-4.

ABSTRACT

Establishing biomarkers to predict multiple sclerosis diagnosis and prognosis has been challenging using a single biomarker approach. We hypothesised that a combination of biomarkers would increase the accuracy of prediction models to differentiate multiple sclerosis from other neurological disorders and enhance prognostication for people with multiple sclerosis. We measured 24 fluid biomarkers in the blood and cerebrospinal fluid of 77 people with multiple sclerosis and 80 people with other neurological disorders, using ELISA or Single Molecule Array assays. Primary outcomes were multiple sclerosis versus any other diagnosis, time to first relapse, and time to disability milestone (Expanded Disability Status Scale 6), adjusted for age and sex. Multivariate prediction models were calculated using the area under the curve value for diagnostic prediction, and concordance statistics (the percentage of each pair of events that are correctly ordered in time for each of the Cox regression models) for prognostic predictions. Predictions using combinations of biomarkers were considerably better than single biomarker predictions. The combination of cerebrospinal fluid [chitinase-3-like-1 + TNF-receptor-1 + CD27] and serum [osteopontin + MCP-1] had an area under the curve of 0.97 for diagnosis of multiple sclerosis, compared to the best discriminative single marker in blood (osteopontin: area under the curve 0.84) and in cerebrospinal fluid (chitinase-3-like-1 area under the curve 0.84). Prediction for time to next relapse was optimal with a combination of cerebrospinal fluid[vitamin D binding protein + Factor I + C1inhibitor] + serum[Factor B + Interleukin-4 + C1inhibitor] (concordance 0.80), and time to Expanded Disability Status Scale 6 with cerebrospinal fluid [C9 + Neurofilament-light] + serum[chitinase-3-like-1 + CCL27 + vitamin D binding protein + C1inhibitor] (concordance 0.98). A combination of fluid biomarkers has a higher accuracy to differentiate multiple sclerosis from other neurological disorders and significantly improved the prediction of the development of sustained disability in multiple sclerosis. Serum models rivalled those of cerebrospinal fluid, holding promise for a non-invasive approach. The utility of our biomarker models can only be established by robust validation in different and varied cohorts.

PMID:38368354 | DOI:10.1186/s12974-024-03036-4

BMC Nurs. 2024 Feb 17;23(1):126. doi: 10.1186/s12912-024-01785-4.

ABSTRACT

BACKGROUND: The organization’s work ethics is the cornerstone to promoting positive nurses’ behaviours and overcoming counterproductive ones.

PURPOSE: The current study aims to explore the relationship between work ethics (WEs) and counterproductive work behaviours (CWB) among nurses and testify to the mediating role of workplace ostracism (WO) in this relationship.

METHODS: A descriptive correlational study was conducted in an Egyptian hospital. A convenient sample of staff nurses (N = 369) who agreed to participate in the study answered work ethics, counterproductive work behaviours, and workplace ostracism questionnaires, which were proven to be valid and reliable study measures. Descriptive and inferential statistics were applied, and relationships were presented using structural equation modelling.

ETHICAL CONSIDERATIONS: Ethics Committee approval, written informed consent, data privacy and confidentiality, and participants’ rights to voluntary participation and withdrawal were maintained.

RESULTS: The majority of nurses (78.5%) perceived a high level of work ethics while majority of nurses reporting low levels of counterproductive work behaviours and workplace ostracism (82.25%, 75.75%), respectively. In addition to the negative correlations, the findings revealed that WEs have a significant negative influence on each of CWB (β – 0.482, p < 0.005) and WO (β – 0.044, p < 0.005). The regression analysis showed that WEs can negatively predict about 15% of the variance in each of CWB and WO. On the other hand, WO has a positive effect on CWB (β 0.035, p < 0.021) and mediates the relationship between WEs and CWB.

DISCUSSION: Ostracism negatively affects the attitudes of nurses, which in turn results in negative behavioural outcomes (i.e., deviant behaviour).

CONCLUSION: It is imperative for the hospital and nurse managers to establish a work environment that fosters support and cultivate work ethics and ethical work climate with the aim of managing negative work behaviours, enhancing nurses’ retention and satisfaction, and eventually improving the quality of patient care.

PMID:38368352 | DOI:10.1186/s12912-024-01785-4

BMC Med Res Methodol. 2024 Feb 17;24(1):44. doi: 10.1186/s12874-024-02159-9.

ABSTRACT

BACKGROUND: The residual life of a patient with human immunodeficiency virus (HIV) is of major interest to patients and their physicians. While existing analyses of HIV patient survival focus mostly on data collected at baseline, residual life analysis allows for dynamic analysis based on additional data collected over a period of time. As survival times typically exhibit a right-skewed distribution, the median provides a more useful summary of the underlying distribution than the mean. In this paper, we propose an efficient inference procedure that fits a semiparametric quantile regression model assessing the effect of longitudinal biomarkers on the residual life of HIV patients until the development of dyslipidemia, a disease becoming more prevalent among those with HIV.

METHODS: For estimation of model parameters, we propose an induced smoothing method that smooths nonsmooth estimating functions based on check functions. For variance estimation, we propose an efficient resampling-based estimator. The proposed estimators are theoretically justified. Simulation studies are used to evaluate their finite sample performances, including their prediction accuracy. We analyze the Korea HIV/AIDS cohort study data to examine the effects of CD4 (cluster of differentiation 4) cell count on the residual life of HIV patients to the onset of dyslipidemia.

RESULTS: The proposed estimator is shown to be consistent and normally distributed asymptotically. Under various simulation settings, our estimates are approximately unbiased. Their variances estimates are close to the empirical variances and their computational efficiency is superior to that of the nonsmooth counterparts. Two measures of prediction performance indicate that our method adequately reflects the dynamic character of longitudinal biomarkers and residual life. The analysis of the Korea HIV/AIDS cohort study data shows that CD4 cell count is positively associated with residual life to the onset of dyslipidemia but the effect is not statistically significant.

CONCLUSIONS: Our method enables direct prediction of residual lifetimes with a dynamic feature that accommodates data accumulated at different times. Our estimator significantly improves computational efficiency in variance estimation compared to the existing nonsmooth estimator. Analysis of the HIV/AIDS cohort study data reveals dynamic effects of CD4 cell count on the residual life to the onset of dyslipidemia.

PMID:38368350 | DOI:10.1186/s12874-024-02159-9

BMC Geriatr. 2024 Feb 17;24(1):168. doi: 10.1186/s12877-024-04758-z.

ABSTRACT

BACKGROUND: Observational studies have suggested that sedentary behaviors and sleep status are associated with frailty. However, it remains unclear whether these associations are causal.

METHODS: Using summary statistics from genome-wide association studies, we evaluated the causal effect of modifiable risk factors, including leisure sedentary behaviors and sleep status on the frailty index (FI) using two-sample univariable and multivariable Mendelian randomization (MR) analyses. Genetic correlations were tested between the correlated traits.

RESULTS: We identified potential causal associations between the time spent watching television (β = 0.26, 95% confidence interval [CI]: 0.21-0.31, P = 3.98e-25), sleep duration (β = -0.18, 95%CI: -0.26, -0.10; P = 6.04e-06), and daytime napping (β = 0.29, 95%CI: 0.18-0.41, P = 2.68e-07) and the FI based on the inverse-variance-weighted method. The estimates were consistent across robust and multivariate MR analyses. Linkage disequilibrium score regression detected a genetic correlation between the time spent watching television (Rg = 0.43, P = 6.46e-48), sleep duration (Rg = -0.20, P = 5.29e-10), and daytime napping (Rg = 0.25, P = 3.34e-21) and the FI.

CONCLUSIONS: Genetic predispositions to time spent watching television and daytime napping were positively associated with the FI, while sleep duration was negatively associated with the FI. Our findings offer key insights into factors influencing biological aging and suggest areas for interventions to promote healthy aging and slow down the aging process.

PMID:38368347 | DOI:10.1186/s12877-024-04758-z

BMC Med Ethics. 2024 Feb 17;25(1):18. doi: 10.1186/s12910-024-01008-0.

ABSTRACT

AIMS: To examine the understanding of the ethical dilemmas associated with Big Data and artificial intelligence (AI) among Jordanian medical students, physicians in training, and senior practitioners.

METHODS: We implemented a literature-validated questionnaire to examine the knowledge, attitudes, and practices of the target population during the period between April and August 2023. Themes of ethical debate included privacy breaches, consent, ownership, augmented biases, epistemology, and accountability. Participants’ responses were showcased using descriptive statistics and compared between groups using t-test or ANOVA.

RESULTS: We included 466 participants. The greater majority of respondents were interns and residents (50.2%), followed by medical students (38.0%). Most participants were affiliated with university institutions (62.4%). In terms of privacy, participants acknowledged that Big Data and AI were susceptible to privacy breaches (39.3%); however, 59.0% found such breaches justifiable under certain conditions. For ethical debacles involving informed consent, 41.6% and 44.6% were aware that obtaining informed consent posed an ethical limitation in Big Data and AI applications and denounced the concept of “broad consent”, respectively. In terms of ownership, 49.6% acknowledged that data cannot be owned yet accepted that institutions could hold a quasi-control of such data (59.0%). Less than 50% of participants were aware of Big Data and AI’s abilities to augment or create new biases in healthcare. Furthermore, participants agreed that researchers, institutions, and legislative bodies were responsible for ensuring the ethical implementation of Big Data and AI. Finally, while demonstrating limited experience with using such technology, participants generally had positive views of the role of Big Data and AI in complementing healthcare.

CONCLUSION: Jordanian medical students, physicians in training and senior practitioners have limited awareness of the ethical risks associated with Big Data and AI. Institutions are responsible for raising awareness, especially with the upsurge of such technology.

PMID:38368332 | DOI:10.1186/s12910-024-01008-0

BMC Womens Health. 2024 Feb 17;24(1):127. doi: 10.1186/s12905-023-02845-8.

ABSTRACT

BACKGROUND: During the coronavirus pandemic, people faced strict preventive measures, including staying at home and maintaining social distance, which led to increasing rates of intimate partner violence. Women have been facing dual health emergencies, including COVID-19 and domestic violence. Despite this, there is a lack of representative data on intimate partner violence during the COVID-19 pandemic and inconsistent findings.

METHODS: The Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines were used to develop the systematic review and meta-analysis. All English-language studies conducted between 31 December 2019 and May 15/2022 were extracted from databases such as PubMed/Medline, CINAHL, and Google Scholar. The quality of the articles was assessed using the Joanna Briggs Institute Meta-Analysis of Statistics Assessment and Review Instrument (JBI-MAStARI). The I² was used to assess heterogeneity among studies. Publication bias was assessed using funnel plot inspection and Egger’s test. A random effect model was used for the analysis using RevMan and STATA 14 software.

RESULT: A total of 5065 studies were retrieved, and 14 studies were included in the final meta-analysis. The pooled prevalence of intimate partner violence was 31% (95% CI: 22, 40). Subgroup analysis based on region showed that the highest prevalence of intimate partner violence was in developing regions (33, 95% CI: 23.0, 43.0) compared to developed regions (14, 95% CI: 11.0, 17.0). Subgroup analysis based on country showed that Uganda had the highest prevalence of IPV 68% (95% CI: 62.0, 72.0), and the lowest was in the USA 10% (95% CI: 7.0, 15.0).

CONCLUSION: Nearly one in three women experienced intimate partner violence during the COVID-19 pandemic. Subgroup analysis based on region showed that the highest prevalence of intimate partner violence was in developing regions (33%). All forms of intimate partner violence (physical, sexual, emotional, and economic) were prevalent. Thus, available interventions should be implemented to alleviate women’s intimate partner violence during the COVID-19 pandemic and similar emerging and remerging pandemics, particularly in developing countries.

TRIAL REGISTRATION: PROSPERO registration number: CRD42022334613 .

PMID:38368323 | DOI:10.1186/s12905-023-02845-8

BMC Public Health. 2024 Feb 17;24(1):510. doi: 10.1186/s12889-024-18002-1.

ABSTRACT

BACKGROUND: Women who are sexually active are at risk of sexually transmitted infections (STIs), which can cause serious difficulties for their reproductive health. However, despite the high global burden of STIs, most infections are preventable with education for behavioral change. The purpose of this study is to investigate the Efficacy of Mobile-Based Educational Intervention Using Instructional Systems Design in Promoting Preventive Behaviors for Sexually Transmitted Infections among Iranian Women.

METHODS: This randomized controlled trial aimed at promoting preventive behaviors related to STIs in Iranian women with an educational intervention based on the Instructional Systems Design (ISD) in 2022. The participants in this study were recruited from a single center, specifically the Health House No. 3 located in District 11 of Tehran Municipality. Two instruments were used in the present study: a) a valid scale titled: “Four-Scale of STI Preventive Behaviors”, and b) a researcher-made Questionnaire titled: “Social perception affecting sexually transmitted infections (SOPESTI)”. These tools contain 8 demographic items and specific questions with a total of 68 five-point Likert scales. The intervention comprised three phases: a pre-test (baseline), a training program, and two follow-up assessments (4 and 12 weeks after the start of the training program). The experimental group received education through a mobile app, while the control group received no intervention. SPSS v.26 was used, with a significance level of P < 0.05. The chi-square test, Fisher’s exact test, independent t-tests, analysis of covariance (ANCOVA), and repeated measures ANOVA were used to analyze the data.

RESULTS: A total of 80 women, with a mean age of 36.524 ± 6.91 (experiment group) and 34.78 ± 8.20 (control group), respectively, participated in the trial. The study revealed a statistically significant difference in the mean score for eight domains, including STIs Knowledge, STIs Vulnerability, STIs Preventive Self-efficacy, STIs Prevention intentions, STIs Perceived social exclusion, STIs Perceived cognitive barriers, STIs Perceived social support, and STIs Perceived risks in the experiment group following the intervention compared to before the intervention (p < 0.05).

CONCLUSION: The results of this study showed that a mobile-based educational intervention based on the ISD model had a significant effect on the preventive behaviors of STIs in Iranian women. These results highlight the potential benefit of mobile health in enhancing reproductive health.

TRIAL REGISTRATION: ClinicalTrials.gov IRCT20200602047638N1. Registered on 22 May 2021 with the IRCTID, V1.0. https://www.irct.ir/trial/55632.

PMID:38368322 | DOI:10.1186/s12889-024-18002-1