952 resultados para Screening trial
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To identify common variants influencing body mass index (BMI), we analyzed genome-wide association data from 16,876 individuals of European descent. After previously reported variants in FTO, the strongest association signal (rs17782313, P = 2.9 x 10(-6)) mapped 188 kb downstream of MC4R (melanocortin-4 receptor), mutations of which are the leading cause of monogenic severe childhood-onset obesity. We confirmed the BMI association in 60,352 adults (per-allele effect = 0.05 Z-score units; P = 2.8 x 10(-15)) and 5,988 children aged 7-11 (0.13 Z-score units; P = 1.5 x 10(-8)). In case-control analyses (n = 10,583), the odds for severe childhood obesity reached 1.30 (P = 8.0 x 10(-11)). Furthermore, we observed overtransmission of the risk allele to obese offspring in 660 families (P (pedigree disequilibrium test average; PDT-avg) = 2.4 x 10(-4)). The SNP location and patterns of phenotypic associations are consistent with effects mediated through altered MC4R function. Our findings establish that common variants near MC4R influence fat mass, weight and obesity risk at the population level and reinforce the need for large-scale data integration to identify variants influencing continuous biomedical traits.
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The study aim was to investigate the relationship between factors related to personal cancer history and lung cancer risk as well as assess their predictive utility. Characteristics of interest included the number, anatomical site(s), and age of onset of previous cancer(s). Data from the Prostate, Lung, Colorectal and Ovarian Screening (PLCO) Cancer Screening Trial (N = 154,901) and National Lung Screening Trial (N = 53,452) were analysed. Logistic regression models were used to assess the relationships between each variable of interest and 6-year lung cancer risk. Predictive utility was assessed through changes in area-under-the-curve (AUC) after substitution into the PLCOall2014 lung cancer risk prediction model. Previous lung, uterine and oral cancers were strongly and significantly associated with elevated 6-year lung cancer risk after controlling for confounders. None of these refined measures of personal cancer history offered more predictive utility than the simple (yes/no) measure already included in the PLCOall2014 model.
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Despite being considered a disease of smokers, approximately 10-15% of lung cancer cases occur in never-smokers. Lung cancer risk prediction models have demonstrated excellent ability to discriminate cases from non-cases, and have been shown to be more efficient at selecting individuals for future screening than current criteria. Existing models have primarily been developed in populations of smokers, thus there was a need to develop an accurate model in never-smokers. This study focused on developing and validating a model using never-smokers from the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial. Cox regression analysis, with six-year follow-up, was used for model building. Predictors included: age, body mass index, education level, personal history of cancer, family history of lung cancer, previous chest X-ray, and secondhand smoke exposure. This model achieved fair discrimination (optimism corrected c-statistic = 0.6645) and good calibration. This represents an improvement on existing neversmoker models, but is not suitable for individual-level risk prediction.
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Small aggressive non-small cell lung carcinomas (SA-NSCLC) are characterized by spread to distant lymph nodes and metastases, even while the primary tumour remains small in size, as opposed to tumours that are relatively large before cancer progression. These small aggressive cancers present a challenge for clinical diagnosis and screening, carry grave prognosis, and may benefit from using a targeted approach to identify high-risk individuals. The objectives of this thesis were to identify factors associated with SA-NSCLC, and compare survivorship of stage IV SA-NSCLC to large stage IV NSCLC. Logistic and Cox regression analysis were performed using data from the National Lung Screening Trial (NLST). Model building was guided by knowledge of lung carcinogenesis and lung cancer prognostic factors. Previous diagnosis of emphysema and positive family history of lung cancer in females were associated with increased risk of SA-NSCLC among adenocarcinomas. Despite overall poor prognosis, SA-NSCLC have a better prognosis compared to large stage IV NSCLC.
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El cáncer de cuello uterino y su mortalidad en Colombia ha permanecido constantes pese a los esfuerzos institucionales, distritales y nacionales que han buscado fortalecer los programas de prevención; sin embargo las estrategias actuales hacen énfasis en la toma de citología y no en la solicitud oportuna del resultado y el tratamiento de la usuaria en caso de anormalidad. METODOLOGIA: Se realizó un estudio en dos fases, un análisis descriptivo se analizaron 12875 y una segunda que involucro 257 pacientes en un análisis de casos y controles de una muestra aleatoria. RESULTADOS: Se utiliza para análisis bivariado la prueba de Chi cuadrado y regresión logística que muestran diferencias significativas en los siguientes variables: la explicación sobre la importancia del examen (p= 0.0060), importancia de la solicitud de resultado (p= 0.003), explicación sobre cuando reclamarlo (p=0.030), distancia entre residencia y centro de salud (p=0.065) DISCUSIÓN: En nuestro estudio se identificó que los factores como el acceso de la paciente al centro de salud, el tiempo del cual dispone para solicitar el resultado, si el dinero con el que cuenta la paciente para desplazarse al hospital, si es la primera vez que se realiza la citología, si le explicaron la importancia de reclamar el resultado y en que lapso de tiempo debía hacerlo, la información que tiene acerca de la importancia de realizarse la citología contribuyen en el hecho de que una paciente de esta población de un hospital público reclame o no su resultado de su citología
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Introducción: La dismenorrea se presenta como una patología cada vez más frecuente en mujeres de 16-30 años. Dentro de los factores asociados a su presentación, el consumo de tabaco ha revelado resultados contradictorios. El objetivo del presente estudio es explorar la asociación entre el consumo de cigarrillo y la presentación de dismenorrea, y determinar si los trastornos del ánimo y la depresión, alteran dicha asociación. Materiales y métodos: Se realizó un estudio de prevalencia analítica en mujeres de la Universidad del Rosario matriculadas en pregrado durante el primer semestre de 2013, para determinar la asociación entre el consumo de tabaco y la presentación de dismenorrea. En el estudio se tuvieron en cuenta variables tradicionalmente relacionadas con dismenorrea, incluyendo las variables ansiedad y depresión como potenciales variables de confusión. Los registros fueron analizados en el programa Estadístico IBM SPSS Statistics Versión 20.0. Resultados: Se realizaron 538 cuestionarios en total. La edad promedio fue 19.92±2.0 años. La prevalencia de dismenorrea se estimó en 89.3%, la prevalencia de tabaquismo 11.7%. No se encontró una asociación entre dismenorrea y tabaquismo (OR 3.197; IC95% 0.694-14.724). Dentro de las variables analizadas, la depresión y la ansiedad constituyen factores de riesgo independientes para la presentación de dismenorrea con una asociación estadísticamente significativa p=0.026 y p=0.024 respectivamente. El análisis multivariado encuentra como factor determinante en la presentación de dismenorrea, la interacción de depresión y ansiedad controlando por las variables tradicionales p<0.0001. Sin embargo, esta asociación se pierde cuando se analiza en la categoría de dismenorrea severa y gana relevancia el uso de métodos de anticoncepción diferentes a los hormonales, mientras que el hecho de haber iniciado la vida sexual presenta una tendencia limítrofe de riesgo. Conclusiones: No se puede demostrar que el tabaco es un factor asociado a la presentación de dismenorrea. Los trastornos del ánimo y la ansiedad constituyen factores determinantes a la presentación de dismenorrea independientemente de la presencia de otros concomitantes. Las variables de asociación se modifican cuando la variable dependiente se categoriza en su estado más severo. Se necesitan estudios más amplios y detallados para establecer dicha asociación.
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Although the oral cavity is easily accessible to inspection, patients with oral cancer most often present at a late stage, leading to high morbidity and mortality. Autofluorescence imaging has emerged as a promising technology to aid clinicians in screening for oral neoplasia and as an aid to resection, but current approaches rely on subjective interpretation. We present a new method to objectively delineate neoplastic oral mucosa using autofluorescence imaging. Autofluorescence images were obtained from 56 patients with oral lesions and 11 normal volunteers. From these images, 276 measurements from 159 unique regions of interest (ROI) sites corresponding to normal and confirmed neoplastic areas were identified. Data from ROIs in the first 46 subjects were used to develop a simple classification algorithm based on the ratio of red-to-green fluorescence; performance of this algorithm was then validated using data from the ROIs in the last 21 subjects. This algorithm was applied to patient images to create visual disease probability maps across the field of view. Histologic sections of resected tissue were used to validate the disease probability maps. The best discrimination between neoplastic and nonneoplastic areas was obtained at 405 nm excitation; normal tissue could be discriminated from dysplasia and invasive cancer with a 95.9% sensitivity and 96.2% specificity in the training set, and with a 100% sensitivity and 91.4% specificity in the validation set. Disease probability maps qualitatively agreed with both clinical impression and histology. Autofluorescence imaging coupled with objective image analysis provided a sensitive and noninvasive tool for the detection of oral neoplasia.
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O 3º Consenso Brasileiro para pesquisa de autoanticorpos em Células HEp-2 (FAN) teve como propósito avaliar as dificuldades de implantação do 2º Consenso ocorrido no ano de 2002, discutir estratégias para controlar a qualidade do ensaio e promover a atualização das associações clínicas dos diversos padrões. MÉTODOS: Participaram do encontro em Goiânia nos dias 13 e 14 de abril de 2008 pesquisadores e especialistas de diversos centros universitários e laboratórios clínicos de diferentes regiões do Brasil, com o propósito de discutir e aprovar as recomendações que visam à melhor padronização, interpretação e utilização do ensaio pelos clínicos. Representantes comerciais de diferentes empresas produtoras de insumos para realização do teste de FAN foram convidados como ouvintes. RESULTADOS E CONCLUSÕES: O 3º Consenso enfatizou a necessidade do controle de qualidade em imunofluorescência dada a heterogeneidade de microscópios e reagentes disponíveis no mercado, promoveu adequações na terminologia utilizada para classificar os diferentes padrões e, finalmente, atualizou as associações clínicas com finalidade de facilitar cada vez mais o melhor uso do ensaio pelos clínicos.
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My dissertation focuses mainly on Bayesian adaptive designs for phase I and phase II clinical trials. It includes three specific topics: (1) proposing a novel two-dimensional dose-finding algorithm for biological agents, (2) developing Bayesian adaptive screening designs to provide more efficient and ethical clinical trials, and (3) incorporating missing late-onset responses to make an early stopping decision. Treating patients with novel biological agents is becoming a leading trend in oncology. Unlike cytotoxic agents, for which toxicity and efficacy monotonically increase with dose, biological agents may exhibit non-monotonic patterns in their dose-response relationships. Using a trial with two biological agents as an example, we propose a phase I/II trial design to identify the biologically optimal dose combination (BODC), which is defined as the dose combination of the two agents with the highest efficacy and tolerable toxicity. A change-point model is used to reflect the fact that the dose-toxicity surface of the combinational agents may plateau at higher dose levels, and a flexible logistic model is proposed to accommodate the possible non-monotonic pattern for the dose-efficacy relationship. During the trial, we continuously update the posterior estimates of toxicity and efficacy and assign patients to the most appropriate dose combination. We propose a novel dose-finding algorithm to encourage sufficient exploration of untried dose combinations in the two-dimensional space. Extensive simulation studies show that the proposed design has desirable operating characteristics in identifying the BODC under various patterns of dose-toxicity and dose-efficacy relationships. Trials of combination therapies for the treatment of cancer are playing an increasingly important role in the battle against this disease. To more efficiently handle the large number of combination therapies that must be tested, we propose a novel Bayesian phase II adaptive screening design to simultaneously select among possible treatment combinations involving multiple agents. Our design is based on formulating the selection procedure as a Bayesian hypothesis testing problem in which the superiority of each treatment combination is equated to a single hypothesis. During the trial conduct, we use the current values of the posterior probabilities of all hypotheses to adaptively allocate patients to treatment combinations. Simulation studies show that the proposed design substantially outperforms the conventional multi-arm balanced factorial trial design. The proposed design yields a significantly higher probability for selecting the best treatment while at the same time allocating substantially more patients to efficacious treatments. The proposed design is most appropriate for the trials combining multiple agents and screening out the efficacious combination to be further investigated. The proposed Bayesian adaptive phase II screening design substantially outperformed the conventional complete factorial design. Our design allocates more patients to better treatments while at the same time providing higher power to identify the best treatment at the end of the trial. Phase II trial studies usually are single-arm trials which are conducted to test the efficacy of experimental agents and decide whether agents are promising to be sent to phase III trials. Interim monitoring is employed to stop the trial early for futility to avoid assigning unacceptable number of patients to inferior treatments. We propose a Bayesian single-arm phase II design with continuous monitoring for estimating the response rate of the experimental drug. To address the issue of late-onset responses, we use a piece-wise exponential model to estimate the hazard function of time to response data and handle the missing responses using the multiple imputation approach. We evaluate the operating characteristics of the proposed method through extensive simulation studies. We show that the proposed method reduces the total length of the trial duration and yields desirable operating characteristics for different physician-specified lower bounds of response rate with different true response rates.
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Background: The incidence of mandibular fractures in the Northern Territory of Australia is very high, especially among Indigenous people. Alcohol intoxication is implicated in the majority of facial injuries, and substance use is therefore an important target for secondary prevention. The current study tests the efficacy of a brief therapy, Motivational Care Planning, in improving wellbeing and substance misuse in youth and adults hospitalised with alcohol-related facial trauma. Methods and design: The study is a randomised controlled trial with 6 months of follow-up, to examine the effectiveness of a brief and culturally adapted intervention in improving outcomes for trauma patients with at-risk drinking admitted to the Royal Darwin Hospital maxillofacial surgery unit. Potential participants are identified using AUDIT-C questionnaire. Eligible participants are randomised to either Motivational Care Planning (MCP) or Treatment as Usual (TAU). The outcome measures will include quantity and frequency of alcohol and other substance use by Timeline Followback. The recruitment target is 154 participants, which with 20% dropout, is hoped to provide 124 people receiving treatment and follow-up. Discussion: This project introduces screening and brief interventions for high-risk drinkers admitted to the hospital with facial trauma. It introduces a practical approach to integrating brief interventions in the hospital setting, and has potential to demonstrate significant benefits for at-risk drinkers with facial trauma.
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To assess the value of conducting a glaucoma screening randomized controlled trial in the UK.
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Despite the significant burden of cervical cancer, Malaysia like many middle-income countries relies on opportunistic cervical screening as opposed to a more organized population-based program. The aim of this study was to ascertain the effectiveness of a worksite screening initiative upon Papanicolaou smear test (Pap test) uptake among educated working women in Malaysia.
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BACKGROUND: Screening of peripheral atherosclerosis is increasingly used, but few trials have examined its clinical impact. We aimed to assess whether carotid plaque screening helps smokers to improve their health behaviors and cardiovascular risk factors. METHODS: We randomly assigned 536 smokers aged 40 to 70 years to carotid plaque ultrasonographic screening (US group) vs no screening (control group) in addition to individual counseling and nicotine replacement therapy for all participants. Smokers with at least 1 plaque received pictures of their plaques with a 7-minute structured explanation. The outcomes included biochemically validated smoking cessation at 12 months (primary outcome) and changes in cardiovascular risk factor levels and Framingham risk score. RESULTS: At baseline, participants (mean age, 51.1 years; 45.0% women) smoked an average of 20 cigarettes per day with a median duration of 32 years. The US group had a high prevalence of carotid plaques (57.9%). At 12 months, smoking cessation rates were high, but did not differ between the US and control groups (24.9% vs 22.1%; P = .45). In the US group, cessation rates did not differ according to the presence or absence of plaques. Control of cardiovascular risk factors (ie, blood pressure and low-density lipoprotein cholesterol and hemoglobin A(1c) levels in diabetic patients) and mean absolute risk change in Framingham risk score did not differ between the groups. The mean absolute risk change in Framingham risk score was +0.6 in the US group vs +0.3 in the control group (P = .56). CONCLUSION: In smokers, carotid plaque screening performed in addition to thorough smoking cessation counseling is not associated with increased rates of smoking cessation or control of cardiovascular risk factors. Trial Registration clinicaltrials.gov Identifier: NCT00548665.
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To evaluate the effectiveness of register based, yearly chlamydia screening.