Curettage or Resection? A Review on the Surgical Treatment of Low-Grade Chondrosarcomas

Introduction Low-grade chondrosarcomas (LG-CS), including atypical cartilaginous tumors (ACT), are locally aggressive lesions. The focus of the discussion sits on the differential diagnosis between benign lesions or aggressive cartilaginous tumors and on their treatment: intralesional curettage or wide resection. This study presents the results obtained in the surgical treatment of 21 cases of LG-CS. Methods This retrospective study includes 21 consecutive patients from a single center with LG-CS who underwent surgery from 2013 to 2021. Fourteen were located in the appendicular skeleton, and seven in the axial (shoulder blade, spine, or pelvis). Mortality rate, recurrence, metastatic disease, overall survival, recurrence-free survival, and metastatic disease-free survival were analyzed for each type of procedure and each disease location. Operative complications and residual tumors were also recorded in cases where resection was performed. Survival was calculated using the Kaplan-Meier method. Results Thirteen patients underwent intralesional curettage (11 appendicular and 2 axial lesions), and eight underwent wide resection (5 axial and 3 appendicular). There were six recurrences during the follow-up, 43% of the axial lesions recurred, rising to 100% in axial curetted ones. Appendicular LG-CS recurred in 21% of cases, and only 18% of curetted appendicular lesions were not eradicated. The overall survival for the entire follow-up is 90.5%, and the 5-year survival rate is 83% (12 patients have adequate follow-up). Recurrence-free and metastasis-free survival were higher in resection cases, with 75% and 87.5%, vs. curettage 69.2% and 76.9%, respectively. In 9% of cases, the preoperative biopsy was inconsistent with the pathology of the surgical specimen. Discussion LG-CS and ACT are described as having high survival and low potential for metastatic disease. For this reason, these lesions are subject to a change in treatment philosophy to reflect these characteristics. Intra-lesional curettage is advocated as a less invasive technique for eradicating atypical cartilage tumors and has fewer and less severe complications, which was in accordance with our findings. Diagnosis, however, is challenging; misgrading is frequent and should be considered. Because of this risk of under-treating higher-grade lesions, some authors still defend wide-resection as the treatment of choice. We observed a trend towards longer survival, less recurrence, and metastatic disease with wide resection. Metastatic disease was higher than expected, present in 19% of cases, and always associated with local recurrence. Conclusion LG-CS is still a diagnostic and treatment challenge; patient selection is fundamental. Overall survival is high, independent of treatment choice or lesion location. We found a higher rate of metastatic disease than described in the literature; this, coupled with a misgrading rate of 9%, reflects the difficulty of preoperative diagnosis and the risk of treating high-grade chondrosarcomas as a low-grade lesion. More studies should be carried out with larger samples to obtain statistically robust results.info:eu-repo/semantics/publishedVersio

Redisplacement of reduced distal radius fractures in adults: does the type of casting play a role?:The CAST study, a multicentre cluster randomized controlled trial

Aims:It is not clear which type of casting provides the best initial treatment in adults with a distal radial fracture. Given that between 32% and 64% of adequately reduced fractures redisplace during immobilization in a cast, preventing redisplacement and a disabling malunion or secondary surgery is an aim of treatment. In this study, we investigated whether circumferential casting leads to fewer the redisplacement of fewer fractures and better one-year outcomes compared with plaster splinting.Methods:In a pragmatic, open-label, multicentre, two-period cluster-randomized superiority trial, we compared these two types of casting. Recruitment took place in ten hospitals. Eligible patients aged ≥ 18 years with a displaced distal radial fracture, which was acceptably aligned after closed reduction, were included. The primary outcome measure was the rate of redisplacement within five weeks of immobilization. Secondary outcomes were the rate of complaints relating to the cast, clinical outcomes at three months, patient-reported outcome measures (PROMs) (using the numerical rating scale (NRS), the abbreviated version of the Disabilities of the Arm, Shoulder and Hand (QuickDASH), and Patient-Rated Wrist/Hand Evaluation (PRWHE) scores), and adverse events such as the development of compartment syndrome during one year of follow-up. We used multivariable mixed-effects logistic regression for the analysis of the primary outcome measure.Results:The study included 420 patients. There was no significant difference between the rate of redisplacement of the fracture between the groups: 47% (n = 88) for those treated with a plaster splint and 49% (n = 90) for those treated with a circumferential cast (odds ratio 1.05 (95% confidence interval (CI) 0.65 to 1.70); p = 0.854). Patients treated in a plaster splint reported significantly more pain than those treated with a circumferential cast, during the first week of treatment (estimated mean NRS 4.7 (95% CI 4.3 to 5.1) vs 4.1 (95% CI 3.7 to 4.4); p = 0.014). The rate of complaints relating to the cast, clinical outcomes and PROMs did not differ significantly between the groups (p > 0.05). Compartment syndrome did not occur.Conclusion:Circumferential casting did not result in a significantly different rate of redisplacement of the fracture compared with the use of a plaster splint. There were comparable outcomes in both groups

Efficiently analyzing large patient registries with Bayesian joint models for longitudinal and time-to-event data

The joint modeling of longitudinal and time-to-event outcomes has become a popular tool infollow-up studies. However, fitting Bayesian joint models to large datasets, such as patientregistries, can require extended computing times. To speed up sampling, we divided a patient registry dataset into subsamples, analyzed them in parallel, and combined the resultingMarkov chain Monte Carlo draws into a consensus distribution. We used a simulation studyto investigate how different consensus strategies perform with joint models. In particular,we compared grouping all draws together with using equal- and precision-weighted averages.We considered scenarios reflecting different sample sizes, numbers of data splits, and processor characteristics. Parallelization of the sampling process substantially decreased the timerequired to run the model. We found that the weighted-average consensus distributions forlarge sample sizes were nearly identical to the target posterior distribution. The proposedalgorithm has been made available in an R package for joint models, JMbayes2. This workwas motivated by the clinical interest in investigating the association between ppFEV1, acommonly measured marker of lung function, and the risk of lung transplant or death, using data from the US Cystic Fibrosis Foundation Patient Registry (35,153 individuals with372,366 years of cumulative follow-up). Splitting the registry into five subsamples resultedin an 85% decrease in computing time, from 9.22 to 1.39 hours. Splitting the data and finding a consensus distribution by precision-weighted averaging proved to be a computationallyefficient and robust approach to handling large datasets under the joint modeling framework

Efficiently analyzing large patient registries with Bayesian joint models for longitudinal and time-to-event data

The joint modeling of longitudinal and time-to-event outcomes has become a popular tool infollow-up studies. However, fitting Bayesian joint models to large datasets, such as patientregistries, can require extended computing times. To speed up sampling, we divided a patient registry dataset into subsamples, analyzed them in parallel, and combined the resultingMarkov chain Monte Carlo draws into a consensus distribution. We used a simulation studyto investigate how different consensus strategies perform with joint models. In particular,we compared grouping all draws together with using equal- and precision-weighted averages.We considered scenarios reflecting different sample sizes, numbers of data splits, and processor characteristics. Parallelization of the sampling process substantially decreased the timerequired to run the model. We found that the weighted-average consensus distributions forlarge sample sizes were nearly identical to the target posterior distribution. The proposedalgorithm has been made available in an R package for joint models, JMbayes2. This workwas motivated by the clinical interest in investigating the association between ppFEV1, acommonly measured marker of lung function, and the risk of lung transplant or death, using data from the US Cystic Fibrosis Foundation Patient Registry (35,153 individuals with372,366 years of cumulative follow-up). Splitting the registry into five subsamples resultedin an 85% decrease in computing time, from 9.22 to 1.39 hours. Splitting the data and finding a consensus distribution by precision-weighted averaging proved to be a computationallyefficient and robust approach to handling large datasets under the joint modeling framework

Science and Heritage Language Integrated Learning (SHLIL):Evidence of the effectiveness of an innovative science outreach program for migrant students

Migrant students tend to underperform in Science, Technology, Engineering, and Mathematics (STEM) subjects and are less likely to pursue higher education in STEM when compared with their nonmigrant peers. Given the substantial increase in migration, this disparity has been a central concern in science education in many European countries. The purpose of this study was to investigate the effectiveness of an innovative science outreach program that brings together migrant students and STEM professionals with the same linguistic and cultural backgrounds. The program consists of one-off workshops that follow an inquiry-based approach and include hands-on activities and science communication in the students' heritage language. Using surveys with adapted scales and open-ended questions, we applied a randomized block design with waitlist control groups and repeated measures. Eighty-three Portuguese-speaking migrant students aged 6–17 years participated in the workshops in Germany and the United Kingdom. Results indicate that both the students and STEM professionals evaluated the program positively and that students who participated in the workshops tended to demonstrate an increase in their attainment value for science and an increase in their self-concept of ability for the heritage language 4 weeks after the intervention when compared with students in the control condition. These effects were particularly pronounced for students with low prior motivation to study science or speak the heritage language. Our results thus show that it is possible to foster migrant students' attainment value for science and increase their self-concept of ability regarding the heritage language through a brief science outreach intervention

A joint model for (un)bounded longitudinal markers, competing risks, and recurrent events using patient registry data

Joint models for longitudinal and survival data have become a popular framework for studying the association between repeatedly measured biomarkers and clinical events. Nevertheless, addressing complex survival data structures, especially handling both recurrent and competing event times within a single model, remains a challenge. This causes important information to be disregarded. Moreover, existing frameworks rely on a Gaussian distribution for continuous markers, which may be unsuitable for bounded biomarkers, resulting in biased estimates of associations. To address these limitations, we propose a Bayesian shared-parameter joint model that simultaneously accommodates multiple (possibly bounded) longitudinal markers, a recurrent event process, and competing risks. We use the beta distribution to model responses bounded within any interval (a,b) without sacrificing the interpretability of the association. The model offers various forms of association, discontinuous risk intervals, and both gap and calendar timescales. A simulation study shows that it outperforms simpler joint models. We utilize the US Cystic Fibrosis Foundation Patient Registry to study the associations between changes in lung function and body mass index, and the risk of recurrent pulmonary exacerbations, while accounting for the competing risks of death and lung transplantation. Our efficient implementation allows fast fitting of the model despite its complexity and the large sample size from this patient registry. Our comprehensive approach provides new insights into cystic fibrosis disease progression by quantifying the relationship between the most important clinical markers and events more precisely than has been possible before. The model implementation is available in the R package JMbayes2

A joint model for (un)bounded longitudinal markers, competing risks, and recurrent events using patient registry data

Joint models for longitudinal and survival data have become a popular framework for studying the association between repeatedly measured biomarkers and clinical events. Nevertheless, addressing complex survival data structures, especially handling both recurrent and competing event times within a single model, remains a challenge. This causes important information to be disregarded. Moreover, existing frameworks rely on a Gaussian distribution for continuous markers, which may be unsuitable for bounded biomarkers, resulting in biased estimates of associations. To address these limitations, we propose a Bayesian shared-parameter joint model that simultaneously accommodates multiple (possibly bounded) longitudinal markers, a recurrent event process, and competing risks. We use the beta distribution to model responses bounded within any interval (a,b) without sacrificing the interpretability of the association. The model offers various forms of association, discontinuous risk intervals, and both gap and calendar timescales. A simulation study shows that it outperforms simpler joint models. We utilize the US Cystic Fibrosis Foundation Patient Registry to study the associations between changes in lung function and body mass index, and the risk of recurrent pulmonary exacerbations, while accounting for the competing risks of death and lung transplantation. Our efficient implementation allows fast fitting of the model despite its complexity and the large sample size from this patient registry. Our comprehensive approach provides new insights into cystic fibrosis disease progression by quantifying the relationship between the most important clinical markers and events more precisely than has been possible before. The model implementation is available in the R package JMbayes2

Prevalência de polimorfismos nos genes ANKK1, DRD2, DRD3 e síndrome metabólica na esquizofrenia refratária

Objetivo: estimar a prevalência dos polimorfismos TaqIA, -141C e rs6280 dos genes ANKK1, DRD2 e DRD3 e avaliar sua associação com a ocorrência de síndrome metabólica em pacientes com esquizofrenia refratária. Método: estudo de delineamento transversal, realizado na Região Ampliada Oeste de Minas Gerais, que incluiu pacientes com esquizofrenia refratária em uso do antipsicótico clozapina. Foram coletados dados sociodemográficos, clínicos, antropométricos, bioquímicos e genéticos. Realizou-se análise univariada dos dados. Resultados: participaram 72 pacientes e observou-se a ocorrência de Síndrome Metabólica em 47,2%, não sendo encontrada associação da Síndrome Metabólica com os polimorfismos estudados. Houve diferença estatisticamente significante com o parâmetro do baixo HDL com genótipo homozigoto para alelo C do polimorfismo -141C do gene DRD2. Conclusão: evidenciou-se prevalência de SM elevada. O polimorfismo -141C associou-se ao baixo HDL. A análise genética e a identificação de alterações metabólicas, neste grupo de pacientes, podem nortear o tratamento medicamentoso e propiciar melhor qualidade de vida.Objective: to estimate the prevalence of TaqIA, -141C and rs6280 polymorphisms of the ANKK1, DRD2 and DRD3 genes and evaluate their association with the occurrence of metabolic syndrome in patients with refractory schizophrenia. Method: cross-sectional study conducted in the Extended Western Region of Minas Gerais, with refractory schizophrenic patients using the antipsychotic clozapine. Sociodemographic, clinical, anthropometric, biochemical and genetic data were collected. Univariate analysis of the data was performed. Results: seventy-two patients participated in the study and the occurrence of Metabolic Syndrome was observed in 47.2% of them. There was no association between Metabolic Syndrome and the studied polymorphisms. There was a statistically significant difference in the low HDL parameter with homozygous genotype for the C allele of the -141C polymorphism of the DRD2 gene. Conclusion: a high prevalence of MS was evidenced. The -141C polymorphism was associated with low HDL. Genetic analysis and identification of metabolic alterations in this group of patients can guide drug treatment and provide a better quality of life.Objetivo: estimar la prevalencia de los polimorfismos TaqIA, -141C y rs6280 de los genes ANKK1, DRD2 y DRD3 y evaluar su asociación con el síndrome metabólico en pacientes con esquizofrenia refractária. Método: estudio de delineamiento transversal, realizado en la Región Ampliada Oeste de Minas Gerais, que incluye pacientes con esquizofrenia refractária usando el antipsicótico clozapina. Fueron recogidos datos sociodemográficos, clínicos, antropométricos, bioquímicos y genéticos. Se realizó um análisis univariada de los datos. Resultados: participaron 72 pacientes y se observó el Síndrome Metabólico en 47,2%, no siendo encontrada una asociación del Síndrome Metabólico con los polimorfismos estudiados. Hubo diferencia estadísticamente significante con el parámetro del bajo HDL con genotipo homozigoto para alelo C del polimorfismo -141C del gen DRD2. Conclusión: se vio una prevalencia de SM elevada. El polimorfismo -141C se asoció al bajo HDL. El análisis genético y la identificación de alteraciones metabólicas, en este grupo de pacientes, pueden guiar al tratamiento medicamentoso y propiciar mejor calidad de vida

CONTRIBUIÇÃO DO PROGRAMA DE INFRAESTRUTURA LOGÍSTICA DE SANTA CATARINA NA REDUÇÃO DAS EMISSÕES DE GASES DE EFEITO ESTUFA

Este estudo de caso visa apresentar a contribuição do Programa de Infraestrutura Logística de Santa Catarina (Programa BID VI), parcialmente financiado pelo Banco Interamericano de Desenvolvimento (BID), na redução das emissões de gases de efeito estufa (GEE). Para tal, foi utilizado o Software Highway Development and Management Model (HDM 4) na quantificação das emissões. A quantificação dos GEE em empreendimentos rodoviários, envolvendo a fase de operação com o uso do HDM 4, é uma alternativa que vem sendo utilizada em avaliações ambientais pelo BID e outras agências de fomento, entretanto, apresenta limitações para o real balanço de emissões, por não envolver as fases de projeto, obras e alguns serviços na operação de rodovias. Este estudo de caso contribuirá na divulgação da importância do setor rodoviário nas questões relacionadas à mudança do clima e na avaliação das limitações da metodologia aplicada. Foi estimada a redução na emissão de 8,5 milhões kg de GEE no horizonte de 20 anos com a implantação do Programa BID VI

In vitro antifungal activity and cytotoxicity screening of dry crude extracts from Brazilian Amazonia plants

Background: Antifungal multidrug resistance has been reported worldwide and has stimulated investigations of plant species for the treatment of candidiasis. In particular, in vitro antifungal activities and cytotoxicity of dry extracts from Ceasalpinia ferrea (tul.) Martius, Brosimum acutifolium Huber, and Salacia impressifolia (Miers) A.C. Smith were evaluated.Materials and Methods: Minimum inhibitory concentrations (MIC) and minimum fungicide (MFC) values were established according to the protocol M27-A2 of the Clinical and Laboratory Standards Institute (CLSI). Subsequent evaluations were performed using strains of Candida albicans from the American Type Culture Collection (ATCC) 10231, clinical isolated Candida albicans, Candida glabrata (CCT) 0728, Candida krusei (FTI) CCT 1517, and Candida guilliermondii (CCT) 1890. Morphological changes were evaluated using scanning electron microscopy (SEM), and cytotoxicity was evaluated in murine L929 fibroblast cells after treatment with plant extracts.Results: MIC values indicated antifungal potential of all three extracts against the main fungi that causes candidiasis.Conclusion: In particular, C. ferrea showed promising antimicrobial potential against all strains. Hence, future studies are warranted to investigate pharmacologically active compounds from this extract that could be used as prototypes for drug development and/or as a source of raw pharmaceutical materials for the treatment of candidiasis.Keywords: Candidiasis; Natural products; Toxicit