Tag: nevin manimala

J Med Syst. 2022 Oct 6;46(11):77. doi: 10.1007/s10916-022-01867-3.

ABSTRACT

The rapid and continuous growth of data volume and its heterogeneity has become one of the most noticeable trends in healthcare, namely in medical imaging. This evolution led to the deployment of specialized information systems supported by the DICOM standard that enables the interoperability of distinct components, including imaging modalities, repositories, and visualization workstations. However, the complexity of these ecosystems leads to challenging learning curves and makes it time-consuming to mock and apply new ideas. Dicoogle is an extensible medical imaging archive server that emerges as a tool to overcome those challenges. Its extensible architecture allows the fast development of new advanced features or extends existent ones. It is currently a fundamental enabling technology in collaborative and telehealthcare environments, including research projects, screening programs, and teleradiology services. The framework is supported by a Learning Pack that includes a description of the web programmatic interface, a software development kit, documentation, and implementation samples. This article gives an in-depth view of the Dicoogle ecosystem, state-of-the-art contributions, and community impact. It starts by presenting an overview of its architectural concept, highlights some of the most representative research backed up by Dicoogle, some remarks obtained from its use in teaching, and worldwide usage statistics of the software. Finally, the positioning of Dicoogle in the medical imaging software field is discussed through comparison with other well-known solutions.

PMID:36201058 | DOI:10.1007/s10916-022-01867-3

Eur J Orthop Surg Traumatol. 2022 Oct 6. doi: 10.1007/s00590-022-03407-8. Online ahead of print.

ABSTRACT

BACKGROUND: Intracapsular femoral neck fractures are challenging to treat, with outcomes depending on the quality of reduction, and the stability of fixation. Cannulated cancellous screws (CCS) are the most commonly used implants to fix these fractures, but failure rates are significant. The recently introduced femoral neck system (FNS) may be a better option than CCS fixation and this review attempts to compare the results.

METHODS: Four electronic databases were searched for eligible articles that had comparative data on the outcomes of fixation of adult femoral neck fractures with FNS and CCS. Data on various outcome parameters were collected. Meta-analysis was conducted using a random-effects model with 95% confidence intervals.

RESULTS: Eight studies with 509 cases having a mean age of 50.8 years were included for final analysis. FNS was found to be associated with significantly reduced complication rates (p < 0.001), decreased incidence of postoperative femoral neck shortening (p < 0.001), quicker time to fracture union (p = 0.002), and better functional outcome scores (p < 0.001) compared to cannulated screws. FNS was also associated with a shorter operating time (mean difference 6.65 min) although not statistically significant (p = 0.24). CCS group had significantly reduced mean blood loss (p < 0.001).

CONCLUSION: The available literature supports FNS as a better option for adult femoral neck fractures, with a lower complication rate, quicker union, and better clinical outcomes.

LEVEL OF EVIDENCE: Level 3.

PMID:36201031 | DOI:10.1007/s00590-022-03407-8

Langenbecks Arch Surg. 2022 Oct 6. doi: 10.1007/s00423-022-02658-7. Online ahead of print.

ABSTRACT

BACKGROUND: Historically , liver metastases due to melanoma have been associated with dismal prognosis. Moreover, the actual survival benefit from the treatment of melanoma liver metastases is still controversial. Hence, this study aims to evaluate the difference in surgical versus non-surgical options for melanoma liver metastases.

METHODS: Four databases (PubMed, EMBASE, Scopus, and Cochrane Library) were searched from inception to July 17, 2022. Studies were included if they compared outcomes between surgical and non-surgical treatment for patients with liver metastases from resectable melanoma. Meta-analyses were performed for the outcomes of 1-year, 2-year, 3-year and 5-year OS. Sensitivity analyses were performed for outcomes with substantial statistical heterogeneity. To account for possible moderators that might contribute to statistical heterogeneity, univariate meta-regression with mixed-effects models and subgroup analyses were conducted for the outcome of 2-year OS.

RESULTS: The search yielded 6610 articles; 13 studies were included in our analysis. Meta-analyses showed that survival outcomes were in favour of patients undergoing surgery as compared to non-surgery: 1-year OS (HR = 0.29, 95%CI 0.19-0.44, p < 0.00001), 2-year OS (HR = 0.19, 95%CI 0.09-0.38, p < 0.00001), 3-year OS (HR = 0.07, 95%CI 0.03-0.19, p < 0.00001) and 5-year OS (HR = 0.07, 95%CI 0.02-0.22, p < 0.00001). All included studies were of high quality. There was moderate-to-high statistical heterogeneity. Findings were robust to sensitivity analyses. Subgroup analyses and univariate meta-regression revealed neoadjuvant therapy and age as statistically significant subgroup and moderator respectively.

CONCLUSIONS: This study suggests that surgical treatment of melanoma liver metastases could offer better OS outcomes compared with non-surgical treatment.

PMID:36201022 | DOI:10.1007/s00423-022-02658-7

Clin Exp Rheumatol. 2022 Oct 4. doi: 10.55563/clinexprheumatol/mm2uzu. Online ahead of print.

ABSTRACT

OBJECTIVES: To compare machine learning (ML) to traditional models to predict radiographic progression in patients with early axial spondyloarthritis (axSpA).

METHODS: We carried out a prospective French multicentric DESIR cohort study with 5 years of follow-up that included patients with chronic back pain for <3 years, suggestive of axSpA. Radiographic progression was defined as progression at the spine (increase of at least 1 point of mSASSS scores/2 years) or at the sacroiliac joint (worsening of at least one grade of the mNY score between 2 visits). Statistical analyses were based on patients without any missing data regarding the outcome and variables of interest (295 patients).Traditional modelling: we performed a multivariate logistic regression model (M1); then variable selection with stepwise selection based on Akaike Information Criterion (stepAIC) method (M2), and Least Absolute Shrinkage and Selection Operator (LASSO) method (M3).ML modelling: using “SuperLearner” package on R, we modelled radiographic progression with stepAIC, LASSO, random forest, Discrete Bayesian Additive Regression Trees Samplers (DBARTS), Generalized Additive Models (GAM), multivariate adaptive polynomial spline regression (polymars), Recursive Partitioning And Regression Trees (RPART) and Super Learner. Accuracy of these models was compared based on their 10-fold cross-validated AUC (cv-AUC).

RESULTS: 10-fold cv-AUC for traditional models were 0.79 and 0.78 for M2 and M3, respectively. The three best models in the ML algorithms were the GAM, the DBARTS and the Super Learner models, with 10-fold cv-AUC of: 0.77, 0.76 and 0.74, respectively.

CONCLUSIONS: Two traditional models predicted radiographic progression as good as the eight ML models tested in this population.

PMID:36200930 | DOI:10.55563/clinexprheumatol/mm2uzu

Biometrics. 2022 Oct 6. doi: 10.1111/biom.13768. Online ahead of print.

ABSTRACT

We explore a hierarchical generalized latent factor model for discrete and bounded response variables and in particular, binomial responses. Specifically, we develop a novel two-step estimation procedure and the corresponding statistical inference that is computationally efficient and scalable for the high dimension in terms of both the number of subjects and the number of features per subject. We also establish the validity of the estimation procedure, particularly the asymptotic properties of the estimated effect size and the latent structure, as well as the estimated number of latent factors. The results are corroborated by a simulation study and for illustration, the proposed methodology is applied to analyze a dataset in a gene-environment association study. This article is protected by copyright. All rights reserved.

PMID:36200926 | DOI:10.1111/biom.13768

J Bras Nefrol. 2022 Sep 30:S0101-28002022005049402. doi: 10.1590/2175-8239-JBN-2022-0017en. Online ahead of print.

ABSTRACT

INTRODUCTION: Chronic kidney disease (CKD) has been increasing significantly. There is evidence that a large part of the population does not have enough knowledge on the subject.

OBJECTIVE: To investigate the level of knowledge about CKD in the general population, its risk factors and means of prevention.

METHODS: We ran a cross-sectional study in the population of Fortaleza, Ceará – Brazil, between 2017 and 2020, with the application of a questionnaire on CKD, risk factors and prevention.

RESULTS: we interviewed 735 volunteers, with a mean age of 38 years, of which 55% were female. Only 17.2% correctly responded to the concept of CKD, and 5.8% knew the concept of creatinine. Low water intake was the most cited risk factor by respondents (79.3%). The main risk factors and direct causes of CKD (diabetes and hypertension) were mentioned less frequently (13.2% and 15.1%, respectively). Men were more correct regarding risk factors and ways to prevent CKD. Older respondents answered more correctly the questions about the definition of CKD (n = 22; 28.6%) and creatinine (n = 7; 9.0%). With regards to education there was a statistically significant correlation in all the questions (p < 0.05).

CONCLUSION: There is little knowledge about CKD in the general population. Higher level of education is associated with better knowledge. More health education actions are needed so that the population becomes better acquainted with CKD and, consequently, can adopt more adequate prevention and control measures.

PMID:36200884 | DOI:10.1590/2175-8239-JBN-2022-0017en

Schizophr Bull. 2022 Oct 6:sbac121. doi: 10.1093/schbul/sbac121. Online ahead of print.

ABSTRACT

BACKGROUND: Cerebellar functional dysconnectivity has long been implicated in schizophrenia. However, the detailed dysconnectivity pattern and its underlying biological mechanisms have not been well-charted. This study aimed to conduct an in-depth characterization of cerebellar dysconnectivity maps in early schizophrenia.

STUDY DESIGN: Resting-state fMRI data were processed from 196 drug-naïve patients with first-episode schizophrenia and 167 demographically matched healthy controls. The cerebellum was parcellated into nine functional systems based on a state-of-the-art atlas, and seed-based connectivity for each cerebellar system was examined. The observed connectivity alterations were further associated with schizophrenia risk gene expressions using data from the Allen Human Brain Atlas.

STUDY RESULTS: Overall, we observed significantly increased cerebellar connectivity with the sensorimotor cortex, default-mode regions, ventral part of visual cortex, insula, and striatum. In contrast, decreased connectivity was shown chiefly within the cerebellum, and between the cerebellum and the lateral prefrontal cortex, temporal lobe, and dorsal visual areas. Such dysconnectivity pattern was statistically similar across seeds, with no significant group by seed interactions identified. Moreover, connectivity strengths of hypoconnected but not hyperconnected regions were significantly correlated with schizophrenia risk gene expressions, suggesting potential genetic underpinnings for the observed hypoconnectivity.

CONCLUSIONS: These findings suggest a common bidirectional dysconnectivity pattern across different cerebellar subsystems, and imply that such bidirectional alterations may relate to different biological mechanisms.

PMID:36200880 | DOI:10.1093/schbul/sbac121

Clin Orthop Relat Res. 2022 Oct 5. doi: 10.1097/CORR.0000000000002440. Online ahead of print.

ABSTRACT

BACKGROUND: Patient-reported outcome measures (PROMs) are frequently used to assess the impact of total knee arthroplasty (TKA) on patients. However, mere statistical comparison of PROMs is not sufficient to assess the value of TKA to the patient, especially given the risk profile of arthroplasty. Evaluation of treatment effect sizes is important to support the use of an intervention; this is often quantified with the minimum clinically important difference (MCID). MCIDs are unique to specific PROMs, as they vary by calculation methodology and study population. Therefore, a systematic review of calculated MCID values, their respective ranges, and assessment of their applications is important to guide and encourage their use as a critical measure of effect size in TKA outcomes research.

QUESTIONS/PURPOSES: In this systematic review of MCID calculations and reporting in primary TKA, we asked: (1) What are the most frequently reported PROM MCIDs and their reported ranges in TKA? (2) What proportion of studies report distribution- versus anchor-based MCID values? (3) What are the most common methods by which these MCID values are derived for anchor-based values? (4) What are the most common derivation methods for distribution-based values? (5) How do the reported medians and corresponding interquartile ranges (IQR) compare between calculation methods for each PROM?

METHODS: Following Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, a systematic review was conducted using the PubMed, EMBASE, and MEDLINE databases from inception through March 2022 for TKA articles reporting an MCID value for any PROMs. Two independent reviewers screened articles for eligibility, including any article that calculated new MCID values for PROMs after primary TKA, and extracted these data for analysis. Overall, 576 articles were identified, 38 of which were included in the final analysis. These studies had a total of 710,128 patients with a median age of 67.7 years and median BMI of 30.9 kg/m2. Women made up more than 50% of patients in most studies, and the median follow-up period was 17 months (range 0.25 to 72 months). The overall risk of bias was assessed as moderate using the Jadad criteria for one randomized controlled trial (3 of 5 ideal global score) and the modified Methodological Index for Non-randomized Studies criteria for comparative studies (mean 17.2 ± 1.8) and noncomparative studies (mean 9.6 ± 1.3). There were 49 unique PROMs for which 233 MCIDs were reported. Calculated values were classified as anchor-based, distribution-based, or not reported. MCID values for each PROM, MCID calculation method, number of patients, and study demographics were extracted from each study. Anchor-based and distribution-based MCIDs were compared for each unique PROM using a Wilcoxon rank sum test given non-normal distribution of values.

RESULTS: The WOMAC Function and Pain subscores were the most frequently reported MCID value, comprising 9% (22 of 233) and 9% (22 of 233), respectively. The composite Oxford Knee Score (OKS) was the next most frequently reported (9% [21 of 233]), followed by the WOMAC composite score (6% [13 of 233]). The median anchor-based values for WOMAC Function and Pain subscores were 23 (IQR 16 to 33) and 25 (IQR 14 to 31), while the median distribution-based values were 11 (IQR 10.8 to 11) and 22 (IQR 17 to 23), respectively. The median anchor-based MCID value for the OKS was 6 (IQR 4 to 7), while the distribution-based value was 7 (IQR 5 to 10). Thirty-nine percent (15 of 38) used an anchor-based method to calculate a new MCID, while 32% (12 of 38) used a distribution-based technique. Twenty-nine percent of studies (11 of 38) calculated MCID values using both methods. For studies reporting an anchor-based calculation method, a question assessing patient satisfaction, pain relief, or quality of life along a five-point Likert scale was the most commonly used anchor (40% [16 of 40]), followed by a receiver operating characteristic curve estimation (25% [10 of 40]). For studies using distribution-based calculations, all articles used a measure of study population variance in their derivation of the MCID, with the most common method reported as one-half the standard deviation of the difference between preoperative and postoperative PROM scores (45% [14 of 31]). Most reported median MCID values (15 of 19) did not differ by calculation method for each unique PROM (p > 0.05) apart from the WOMAC Function component score and the Knee Injury and Osteoarthritis Outcome Score Pain and Activities of Daily Living subscores.

CONCLUSION: Despite variability of MCIDs for each PROM, there is consistency in the methodology by which MCID values have been derived in published studies. Additionally, there is a consensus about MCID values regardless of calculation method across most of the PROMs we evaluated.

CLINICAL RELEVANCE: Given their importance to treatment selection and patient safety, authors and journals should report MCID values with greater consistency. We recommend using a 7-point increase as the MCID for the OKS, consistent with the median reported anchor-based value derived from several high-quality studies with large patient groups that used anchor-based approaches for MCID calculation, which we believe are most appropriate for most applications in clinical research. Likewise, we recommend using a 10-point to 15-point increase for the MCID of composite WOMAC, as the median value was 12 (IQR 10 to 17) with no difference between calculation methods. We recommend use of median reported values for WOMAC function and pain subscores: 21 (IQR 15 to 33) and 23 (IQR 13 to 29), respectively.

PMID:36200846 | DOI:10.1097/CORR.0000000000002440

Magy Onkol. 2022 Oct 5;66(3):175-184. Epub 2022 Aug 3.

ABSTRACT

Evaluation of cancer incidence and mortality is essential for the design and development of oncology networks. In Hungary the population-based epidemiological data collection in oncology is executed by the Hungarian National Cancer Registry, whilst, mortality statistics are compiled by the Hungarian Central Statistical Office. In this review, Hungarian cancer epidemiology of 2010s was presented, using population- based morbidity and mortality data, and positioning the country in European cancer statistics. According to GLOBOCAN estimations, Hungary suffers from the highest cancer incidence and mortality rates in Europe. We have reported a steady increase in the number of new cases, while mortality stagnated. Lung and colorectal cancers showed the highest incidence, which was followed by breast cancer. These three malignancies are responsible for almost half of the cancer-related deaths. Improving the quality of population- based disease registries, such as the Hungarian Cancer Registry, requires wide and extensive multidisciplinary collaborative work from many stakeholders.

PMID:36200497

Phys Ther. 2022 Oct 6:pzac133. doi: 10.1093/ptj/pzac133. Online ahead of print.

ABSTRACT

OBJECTIVES: The purposes of this study were to (1) describe and summarize the use of simulation-based education (SBE) with student physical therapists in the international literature and (2) describe the application and integration of standards of best practice (SOBP) for SBE reported in published physical therapy education research.

METHODS: Ovid MEDLINE, CINAHL, Web of Science, and ERIC databases were searched. The search included any study published that involved the use of SBE with student physical therapists. Because this was a scoping review, only descriptive statistics were compiled; no methodologic quality assessment was performed.

RESULTS: This scoping review revealed a significant increase in literature describing SBE with student physical therapists in the past 10 years. Simulation was used to address learning objectives across a variety of content areas and clinical settings. Communication skills were the most common objectives for simulation. Limited use of SOBP, published in 2016, was reported and use of author-generated outcome measures without validation was common.

CONCLUSIONS: Although there has been an increase in literature reporting the use of SBE with student physical therapists across many practice areas and settings, many articles reported limited use and integration of published SOBP and frequently utilized outcome measures that had not been validated.

PMID:36200401 | DOI:10.1093/ptj/pzac133