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1.
Actual. osteol ; 19(2): 144-159, sept. 2023. ilus, tab
Article in Spanish | LILACS, UNISALUD, BINACIS | ID: biblio-1523956

ABSTRACT

Osteoporosis and vertebral and non-vertebral fractures are common in glucocorticoids (GC) treated patients. Oral GC treatment leads to bone loss, particularly of trabecular bone. The benefits of GC used in rheumatological and traumatological disorders are known but they would have possible negative effects on bone. This systematic review aimed to evaluate the effects of epidural steroid injections (ESI), and intra-articular and intramuscular GC administration on bone mineral density (BMD) and fragility fractures. A systematic review of Medline/PubMed, Cochrane, and LILACS up to November 2020 was conducted. Meta-analyses, systematic reviews, randomized and non-randomized controlled trials, and prospective and retrospective studies comparing the effect of ESI, intra-articular or intramuscular GC used compared to a control group or baseline measurements were included. Results: A total of 8272 individuals were included among the 13 selected articles (10 about ESI and 3 about intra-articular GC; no article was found evaluating intramuscular GC). Only a few studies showed a negative effect of ESI on bone in the qualitative analysis considering osteopenia and osteoporosis in lumbar spine, femoral neck and total hip and BMD as surrogate outcomes. On the other hand, the qualitative analysis showed that most studies found an increased risk of fragility fracture. However, only two studies could be included in the quantitative analysis, in which there were no differences between patients exposed to ESI versus controls in all evaluated regions. In conclusion, there was insufficient evidence to suggest that ESI and intra-articular GC, unlike oral GC, negatively affect bone mass. Longitudinal studies are needed to obtain more knowledge regarding the effect of ESI or intra-articular GC on BMD and fragility fractures. (AU)


La osteoporosis y las fracturas vertebrales y no vertebrales son comunes en pacientes tratados con glucocorticoides (GC). El tratamiento oral con GC conduce a la pérdida ósea, particularmente del hueso trabecular. Los beneficios de los GC utilizados en patologías reumatológicas y traumatológicas son conocidos, pero tendrían posibles efectos negativos sobre el hueso. Esta revisión sistemática tuvo como objetivo evaluar los efectos de las inyecciones epidurales de esteroides (ESI), GC intraarticulares e intramusculares sobre la densidad mineral ósea (DMO) y las fracturas por fragilidad. Se realizó una revisión sistemática de Medline/PubMed, Cochrane y LILACS hasta noviembre de 2020. Se incluyeron metanálisis, revisiones sistemáticas, ensayos controlados aleatorizados y no aleatorizados, estudios prospectivos y retrospectivos que compararon el efecto de ESI, GC intraarticular o intramuscular utilizado en comparación con un grupo de control o mediciones iniciales. Resultados: Se incluyeron un total de 8272 individuos entre los 13 artículos seleccionados (10 sobre ESI y 3 sobre GC intraarticular; no se encontró ningún artículo que evaluara GC intramuscular). Solo unos pocos estudios mostraron un efecto negativo del ESI sobre el hueso en el análisis cualitativo considerando la osteopenia y la osteoporosis en la columna lumbar, el cuello femoral y la cadera total y la DMO como un resultado indirecto. Por otro lado, el análisis cualitativo mostró que la mayoría de los estudios encontraron un mayor riesgo de fractura por fragilidad. Sin embargo, solo dos estudios pudieron incluirse en el análisis cuantitativo, en los que no hubo diferencias entre los pacientes expuestos a ESI versus los controles en todas las regiones evaluadas. En conclusión, no hallamos datos suficientes para sugerir que la ESI y los GC intraarticulares, a diferencia de los GC orales, afectan negativamente a la pérdida ósea. Se necesitan estudios longitudinales para obtener más conocimiento sobre el efecto de ESI o GC intraarticular en la DMO y las fracturas por fragilidad. (AU)


Subject(s)
Humans , Osteoporosis/etiology , Bone Diseases, Metabolic/etiology , Bone Density/drug effects , Osteoporotic Fractures/chemically induced , Glucocorticoids/adverse effects , Review Literature as Topic , Bias , Drug Administration Routes , Meta-Analysis as Topic , Clinical Trials as Topic , Risk Assessment , Densitometry , Estrogens/adverse effects
2.
Dolor ; 33(76): 16-22, ago. 2023. ilus
Article in Spanish | LILACS | ID: biblio-1510384

ABSTRACT

Los sesgos cognitivos son un constructo que acuñaron Kahneman & Tveysky (1972) en su Enfoque de Sesgos dentro de la Psicología Cognitiva. Estos son atajos intelectuales que realizan siempre las personas, desde un razonamiento probabilístico intuitivo. El presente trabajo es una primera aproximación que intenta aplicar y describir algunos sesgos cognitivos en el complejo mundo de las representaciones mentales en la experiencia dolorosa, como la ilusión de control; del presente; la confirmación; representatividad; disponibilidad, entre otros. Los sesgos en dolor nos permiten comprender el procesamiento de información frente al dolor y utilizar estrategias comunicacionales más efectivas para su abordaje.


Cognitive biases are a construct coined by Kahneman & Tveysky (1972) in their Approach to Biases in Cognitive Psychology. These are intellectual shortcuts that people always carry out, from an intuitive probabilistic reasoning. An attempt is made to apply and describe some cognitive biases in the complex world of mental representations in the painful experience, like the illusion of control; of the present; the confirmation; representativeness; availability among others. Biases in pain allow us to understand the processing of information in the face of pain and use more effective communication strategies to address it.


Subject(s)
Humans , Chronic Pain , Cognitive Psychology , Thinking , Bias , Intuition
3.
São Paulo; s.n; 20230301. 62 p.
Thesis in Portuguese | LILACS, BBO | ID: biblio-1417551

ABSTRACT

O objetivo desta revisão sistemática foi coletar e comparar os dados de sobrevida após o reparo e substituição para restaurações com falhas em dentes decíduos e permanentes. As buscas foram realizadas em dez/2020 e atualizado em abr/2022 de forma sistemática nas bases de dados PubMed/MEDLINE, Scopus, Web of Science, Embase, OpenSigle e ProQuest. Dois revisores independentes calibrados (kappa=0,87) avaliados como critérios de inclusão: (1) estudos de reparo e substituição, (2) dados de sucesso, longevidade ou sobrevivência, (3) ensaios clínicos controlados aleatoriamente; e para os critérios de exclusão (1) perda para acompanhamento superior a 30%, (2) acompanhamento inferior a 12 meses, (3) dentes anteriores. A ferramenta RoB 2 foi utilizada para avaliar o risco de viés, enquanto que a certeza da evidência foi medida por meio da ferramenta GRADE. Foi identificado 4.070 publicações potencialmente relevantes, entretanto apenas três estudos apresentaram todos os critérios para elegibilidade e foram incluídos na análise qualitativa. Nenhum estudo reportou a taxa de sucesso das intervenções na dentição decídua. Foi coletado um tempo padrão de acompanhamento entre os estudos, e a taxa de sobrevivência agregada foi de 99% após três anos. Não houve diferença estatisticamente significativa entre as abordagens e nenhuma heterogeneidade entre os estudos foi apontada. Todos os estudos incluídos apresentaram alto risco de viés, além de que a certeza da evidência para a medida do desfecho sucesso foi muito baixa. É importante ressaltar que devido à longevidade similar de ambas as técnicas, é fortemente recomendado realizar a técnica de reparo para restaurações que apresentam falha, uma vez que esta técnica está associada à odontologia de intervenção mínima. Mais estudos clínicos bem delineados são necessários para aumentar a certeza da evidência. Registro do RS: Esta revisão sistemática foi registrada na plataforma Prospero (CRD42021238063)


Subject(s)
Humans , Tooth, Deciduous , Dentition, Permanent , Dental Restoration Failure , Dental Restoration, Permanent , Time Factors , Bias , Randomized Controlled Trials as Topic
4.
Chinese Journal of Epidemiology ; (12): 1133-1138, 2023.
Article in Chinese | WPRIM | ID: wpr-985644

ABSTRACT

Controlling unmeasured confounders in non-randomized controlled studies is challenging. Negative control theory is based on the theoretical concept that the test result of negative controls must be negative. Setting appropriate negative control incorporates the specificity of association into population studies for the identification and control of unmeasured confounders. This paper explains the principles to control unmeasured confounders using negative control theory from a statistical perspective. A detailed introduction of derived methods based on negative control theory is also introduced, including adjusted standardized mortality ratio method, calibrating P-value method, generalized difference-in-difference model and double negative control method. The reasonable application of those derived methods is also comprehensively summarized based on representative case studies. Negative control is an important statistical design to identify, revise and control unmeasured confounders and a valuable method for comparative effectiveness research based on real-world data.


Subject(s)
Humans , Confounding Factors, Epidemiologic , Research Design , Comparative Effectiveness Research , Bias
5.
Chinese Journal of Epidemiology ; (12): 643-649, 2023.
Article in Chinese | WPRIM | ID: wpr-985540

ABSTRACT

Measurement bias (MB) has been described in causal structures but is still not entirely clear. In practice, the correctness of substitution estimate (SE) of effect is a prerequisite for causal inference, usually based on a bidirectionally non-differential misclassification between the measured exposure and the measured outcome. Based on a directed acyclic graph (DAG), this paper proposes a structure for the single-variable measure, where its MB is derived from the choice of an imperfect, "input/output device-like" measurement system. The MB of the SE is influenced both by the measurement system itself and by factors outside the measurement system: while the independence or dependence mechanism of the measurement system still ensures that the MB of the SE is bidirectionally non-differential; however, the misclassification can be bidirectionally non-differential, unidirectionally differential, or bidirectionally differential resulted from the factors outside the measurement system. In addition, reverse causality should be defined at the level of measurement, where measured exposures can influence measured outcomes and vice versa. Combined with temporal relationships, DAGs help elucidate MB's structures, mechanisms, and directionality.


Subject(s)
Humans , Confounding Factors, Epidemiologic , Data Interpretation, Statistical , Bias , Causality
6.
Neumol. pediátr. (En línea) ; 18(3): 62-63, 2023.
Article in Spanish | LILACS | ID: biblio-1512519

ABSTRACT

Los sesgos cognitivos son fallas en el razonamiento que pueden alterar los resultados de la investigación. Se presenta brevemente la historia de éstos y ejemplos para facilitar la comprensión y la reflexión en torno a esta "trampa del pensamiento".


Cognitive biases are flaws in reasoning that can alter research outcomes. The history of these biases is briefly presented, along with examples to facilitate understanding and reflection on this 'thinking trap'."


Subject(s)
Research , Bias , Cognition
8.
Article in Portuguese | LILACS | ID: biblio-1511449

ABSTRACT

Objetivo: Identificar e analisar a qualidade das evidências científicas sobre a eficácia e segurança dos anticoagulantes orais direto (DOAC) disponíveis nos ensaios clínicos referenciados nas bulas dos medicamentos comercializados no Brasil. Método: Trata-se de um descritivo documental dividido em duas etapas, sendo elas: (i) identificação e análise da disponibilidade das referências bibliográficas contidas nas bulas dos DOAC e (ii) análise da qualidade dos estudos contidos nas bulas através da ferramenta da Cochrane Risk of Bias RevMan versão 5.4. Foram analisados setes domínios de importâncias para ensino clínico, sendo que cada domínio foi classificado como alto, incerto ou baixo risco de viés, segundo a avaliação dos colaboradores. Resultados: Foram analisadas 10 bulas destinadas aos profissionais da saúde. Sendo que destas, foram avaliados 25 ensaios clínicos. A análise da qualidade das evidências científicas, referenciadas nas bulas para profissionais dos DOAC, mostrou que os estudos citados apresentaram consistência metodológica. Entretanto, na maioria dos estudos, os domínios foram classificados como viés incerto, ou seja, não foi possível identificar como esses pontos foram abordados nos estudos. Conclusão: Portanto, o presente estudo evidenciou que a qualidade dos ensaios clínicos referenciados nas bulas dos DOAC apresentou incertezas metodológicas em seus ensaios. Sugere-se a necessidade de normativas que estabeleçam atualizações do conteúdo informativo presente nas bulas profissionais e estabeleçam descrição dos métodos de forma clara e coesa (AU).


Objective: Identify and analyze the quality of scientific evidence on the efficacy and safety of direct oral anticoagulants (DOAC) available in clinical trials referenced in the package leaflets of drugs marketed in Brazil. Method: This is a descriptive documentary study divided into two stages: (i) identification and analysis of the availability of the bibliographic references contained in the package leaflets of DOACs and (ii) analysis of the quality of the studies contained in the package leaflets through the Cochrane Risk of Bias RevMan tool version 5.4. Seven domains of importance for clinical teaching were analyzed, and each domain was classified as high, uncertain or low risk of bias, according to the assessment of the collaborators. Results: Ten package leaflets intended for health professionals were analyzed. Of these, 25 clinical trials were evaluated. The analysis of the quality of the scientific evidence referenced in the package leaflets for health professionals showed that the cited studies presented methodological consistency. However, in most studies, the domains were classified as uncertain bias, i.e., it was not possible to identify how these points were addressed in the studies. Conclusion: Therefore, the present study evidenced that the quality of clinical trials referenced in the package leaflets of DOACs presented methodological uncertainties in their trials. It is suggested the need for regulations that establish updates of the information content present in the professional package inserts and establish a description of the methods in a clear and cohesive way (AU).


Subject(s)
Thrombosis/therapy , Bias , Medicine Package Inserts , Anticoagulants
10.
Journal of Medicine University of Santo Tomas ; (2): 1325-1334, 2023.
Article in English | WPRIM | ID: wpr-998867

ABSTRACT

@#The emerging field of generative artificial intelligence (GAI) and some of its well-known technologies: ChatGPT, Google Bard and Claude, have gained substantial popularity due to their enormous potential in healthcare applications, as seen in medically fine-tuned models such as Med-PaLM and ChatDoctor. While these advancements are impressive, the dependence of AI development on data volume and quality raises questions about the generalizability of these models. Regions with lower medical research output risk bias and misrepresentation in AI-generated content, especially when used to assist clinical practice. Upon testing of a prompt concerning the isoniazid dosing of Filipinos versus other ethnic and racial groups, responses from GPT-4, GPT-3, Bard and Claude resulted in 3 out of 4 outputs showing convincing but false content, with extended prompting illustrating how response hallucination happens in GAI models. To address this, model refinement techniques such as fine-tuning and prompt ensembles are suggested; however, refining AI models for local contextualization requires data availability, data quality and quality assurance frameworks. Clinicians and researchers in the Philippines and other underrepresented regions are called to initiate capacity-building efforts to prepare for AI in healthcare. Early efforts from all stakeholders are needed to prevent the exacerbation of health inequities, especially in the new clinical frontiers brought about by GAI.


Subject(s)
Artificial Intelligence , Bias , Delivery of Health Care , Philippines
11.
Salud trab. (Maracay) ; 30(2): 129-130, dic. 2022. ilus., tab.
Article in Spanish | LILACS, LIVECS | ID: biblio-1452062

ABSTRACT

El objetivo de este documento es mostrar una síntesis de los principales sesgos que pueden aparecer en el estudio de la salud del trabajo, sus orígenes y consecuencias. Para ello, se realizó una revisión documental de libros y artículos publicados en los últimos 10 años en inglés y español. Se dejó fuera aquellos documentos que no estuvieran publicados en revistas con comité editorial y en caso de los libros, que no tuvieran registro ISBN. Se incluyeron 7 libros y 14 artículos. Un sesgo es un error sistemático, que sucede en el proceso de investigación y que pueden darse durante la planeación, recolección y procesamiento de datos. Se revisarán dos tipos principales de sesgos: 1) Selección y 2) Información y/o medición, en cada caso se describe la definición, potencial impacto en los resultados y se plantean una serie de ejemplos que ayudan a su compresión. Uno de los efectos principales de la presencia de sesgos en investigación es que ocasiona un error de clasificación en los participantes, que puede ser diferencial o no, esto impacta los resultados al sobre o subestimarlos, en otras palabras, se encuentran efectos mayores a los reales o peor, no los encontramos cuando si existen. Para ilustrar el impacto de los sesgos, se revisan distintos escenarios que ejemplifican los casos de sobreestimación y subestimación que originan resultados poco confiables(AU)


This document aims to show a synthesis of the main biases that can be present in occupational health studies, their origins and their consequences. For this purpose, a documentary review was conducted of books and articles published in the last 10 years in English and Spanish. Excluding those documents that were not published in journals with an editorial board and, in the case of books, that did not have an ISBN registry. A total of 7 books and 14 articles were included. A bias is a systematic error that occurs in the research process and can occur during the data planning, collection, and processing. Two main types of biases will be reviewed: 1) Selection and 2) Information and/or measurement biases, in each case their definition and, their possible impact on the results are described, a series of examples that may help to understand them are provided. One of the main effects of the presence of biases in research is that they cause an error in the classification of participants, which can be differential or not, and this has an impact on the results by overestimating or underestimating them, i.e., finding stronger effects than the real ones, or worse, not finding them when they exist. To illustrate the impact of biases, different scenarios were reviewed that provide examples of cases of overestimation and underestimation that lead to unreliable results(AU)


Subject(s)
Humans , Epidemiologic Studies , Bias , Occupational Health , Observer Variation , Selection Bias
12.
Rev. cir. (Impr.) ; 74(4): 400-409, ago. 2022. ilus, tab
Article in Spanish | LILACS | ID: biblio-1407927

ABSTRACT

Resumen Los resultados de diversos hallazgos de investigación han sido objeto de crítica, en especial en los últimos años, debido a presencia de errores sistemáticos (sesgos), los que ponen en duda la validez interna de los resultados obtenidos. Estos sesgos pueden ocurrir en cualquier etapa del curso de una investigación, es decir, desde la planificación del estudio hasta la presentación y publicación de sus resultados. Los sesgos se han clasificado de diferentes formas, intentado agruparlos bajo dimensiones conceptuales, objeto de organizar de mejor forma la información existente, que además es considerable. Los sesgos pueden ocurrir por diversos motivos, pero en general, los más frecuentes son aquellos originados por el observador (él o los que miden), por lo que es observado (sujeto en estudio); y aquello con lo que se observa (instrumento de medición). Por otra parte, varios de los múltiples sesgos existentes, se pueden agrupar en: sesgos de selección, de medición o información, y de confusión. El objetivo de este manuscrito fue comentar la importancia de los sesgos más comunes en la investigación quirúrgica, y su relación con algunos diseños de investigación; así como, conocer las estrategias existentes para minimizar su ocurrencia.


The results of many research findings have come under scrutiny in recent years due to the introduction of systematic errors (biases), which can occur at any stage during an investigation, from planning to presentation of results and their presentation and further publication. Biases have been classified in different ways, trying to group them under conceptual dimensions to better organize the existing information, which is considerable. Biases can occur for various reasons, but in general, the most frequent are those originated by the observer, what is observed; and what is observed with. I.e., the subject that is measured, who measures it and with what it measures it. On the other hand, several of the multiple biases can be grouped into selection, measurement or information, and confounding biases. The aim of this manuscript was to comment on the importance of the most common biases in surgical research, and their relationship with some research designs; as well as know the existing strategies to reduce its occurrence.


Subject(s)
Humans , Bias , Clinical Trials as Topic/standards , Biomedical Research/standards , Research Design/standards , Research Design/statistics & numerical data , General Surgery/standards , General Surgery/trends , Total Quality Management , Sample Size , Biomedical Research/statistics & numerical data
13.
Rev. chil. neuro-psiquiatr ; 60(2): 176-184, jun. 2022. ilus
Article in Spanish | LILACS | ID: biblio-1388432

ABSTRACT

RESUMEN: La toma de decisiones está influenciada por múltiples factores muchas veces no conscientes. En este artículo se sintetizan algunos correlatos neurobiológicos del componente afectivo y social sobre la toma de decisiones, incluyendo el impacto del estrés agudo y crónico y la perspectiva cognitiva de las heurísticas y los sesgos en la práctica clínica. A nivel afectivo, la hipótesis del marcador somático ha asociado la respuesta corporal periférica con estructuras nerviosas centrales en la configuración de las decisiones; intervienen estructuras como la corteza orbitofrontal y el hipocampo. En la toma de decisiones sociales se involucran las dimensiones recompensa y motivación. En este tipo de decisiones es crucial la capacidad de mentalizar a otro e integrar su perspectiva en la toma de decisiones. Esta función se ha relacionado con el surco temporal posterosuperior, la unión temporoparietal, la corteza cingulada anterior y la corteza prefrontal medial. No obstante, en la toma de decisiones sociales también se integra el cumplimiento de normas socialmente establecidas. El estrés agudo o crónico puede afectar la toma de decisiones, positiva o negativamente. En estos procesos se han involucrado al eje hipotálamo-hipófiso-adrenal junto con circuitos corticoestriados, prefrontales, amigdalinos e hipocampales. En la toma de decisiones clínicas se conjugan factores "prerreflexivos" emocionales, sociales y cognitivos que influyen directamente en las conductas adoptadas con los pacientes. Recomendamos enfatizar la investigación en esta área y fortalecer su enseñanza para reconocerlos adecuadamente.


ABSTRACT Decision-making is influenced by multiple unaware factors. We synthesize some neurobiological correlates of the affective and social components on decision-making, including the impact of acute and chronic stress. We also address the impact of heuristics and biases on clinical practice from the cognitive perspective. At an affective level, the hypothesis of the somatic marker has associated the peripheral body response with central nervous structures in the configuration of decisions; structures such as the orbitofrontal cortex and the hippocampus intervene. The reward and motivation dimensions are involved in social decision-making. In these types of decisions, the ability to mentally engage others and integrate their perspective into decision making is crucial. This function has been related to the posterior superior temporal sulcus, the temporoparietal junction, the anterior cingulate cortex, and the medial prefrontal cortex. However, compliance with socially established norms is also integrated into social decision-making. Acute or chronic stress may affect decision-making, positively or negatively. The hypothalamic-pituitary-adrenal axis has been involved in these processes together with corticostriatal, prefrontal, amygdala and hippocampal circuits. In clinical decision-making, "pre-reflective" emotional, social and cognitive factors are combined, influencing the decisions towards patients. We recommend emphasizing research in this field and strengthening education in this area to recognize these aspects adequately.


Subject(s)
Humans , Stress, Psychological , Emotions , Clinical Decision-Making , Social Factors , Neurosciences , Bias , Clinical Medicine , Decision Making , Heuristics
15.
Article in English, Portuguese | LILACS | ID: biblio-1410050

ABSTRACT

ABSTRACT The objective of this essay is to discuss the social desirability bias in qualitative health research. The social desirability bias consists of a systematic research error, in which the participant presents answers that are more socially acceptable than their true opinions or behaviors. Qualitative studies are very susceptible to this type of bias, which can lead to distorted conclusions about the studied phenomenon. Initially, I present the theoretical-conceptual aspects of the social desirability bias. I discuss how its occurrence can be intentional or unintentional, with a distinction between the concepts of self-deception and impression management. Then, I discuss the determining factors of this bias from four dimensions: study design; study context; interviewee's characteristic; interviewer's posture. Finally, I present a systematization of six strategies to be used by qualitative researchers for identifying and controlling social desirability bias.


RESUMO Ensaio com o objetivo de discutir o viés de desejabilidade social na pesquisa qualitativa em saúde. O viés de desejabilidade social consiste em um erro sistemático de pesquisa, no qual o participante apresenta respostas que são mais socialmente aceitáveis do que suas opiniões ou comportamentos verdadeiros. Estudos qualitativos são muito suscetíveis a esse tipo de viés, que pode levar a conclusões distorcidas sobre o fenômeno em estudo. Inicialmente, apresento os aspectos teórico-conceituais do viés de desejabilidade social. Discuto como sua ocorrência pode ser intencional ou não intencional, com diferenciação entre os conceitos de autoengano e gerenciamento de impressão. Em seguida, discuto os fatores determinantes desse viés a partir de quatro dimensões: desenho do estudo; contexto do estudo; característica do entrevistado; postura do entrevistador. Por fim, apresento uma sistematização de seis estratégias a serem utilizadas por pesquisadores qualitativos para a identificação e controle do viés de desejabilidade social.


Subject(s)
Humans , Male , Female , Social Desirability , Surveys and Questionnaires , Methodology as a Subject , Bias , Qualitative Research
16.
Chinese Journal of Epidemiology ; (12): 739-746, 2022.
Article in Chinese | WPRIM | ID: wpr-935453

ABSTRACT

Objective: To introduce and compare four analysis methods of multiple parallel mediation model, including pure regression method, method based on inverse probability weighting, extended natural effect model method and weight-based imputation strategies. Methods: For the multiple parallel mediation model, the simulation experiments of three scenarios were carried out to compare the performance of different methods in estimating direct and indirect effects in different situations. Dataset from UK Biobank was then analyzed by using the four methods. Results: The estimation biases of the regression method and the inverse probability weighting method were relatively small, followed by the extended natural effect model method, and the estimation results of the weight-based imputation strategies were quite different from the other three methods. Conclusions: Different multiple parallel mediation analysis methods have different application situations and their own advantages and disadvantages. The regression method is more suitable for continuous mediator, and the inverse probability weighting method is more suitable for binary mediator. The extended natural effect model method has better performances when the residuals of two parallel mediators are positively correlated and the correlation degree is small. The weight-based imputation strategies might not be appropriate for parallel mediation analysis. Therefore, appropriate methods should be selected according to the specific situation in practice.


Subject(s)
Humans , Bias , Computer Simulation , Mediation Analysis , Models, Statistical , Probability , Regression Analysis , Research Design
17.
Chinese Journal of Epidemiology ; (12): 98-104, 2022.
Article in Chinese | WPRIM | ID: wpr-935356

ABSTRACT

This paper summaries the Risk of Bias in Non-randomized Studies-of Environmental Exposure (ROBINS-E), a tool for evaluating risk of bias about non-randomized studies of exposures (NRSE), and introduces the application of ROBINS-E in a published NRSE. According to the characteristics of NRSE, evaluation fields and signaling questions were designed in ROBINS-E to provide essential information about risk of bias for NRSE included in systematic reviews and GRADE. ROBINS-E is the tool in assessment of risk of bias in observational studies and quasi-randomized studies. Although the tool has been used in practice to some extent, but it still needs further improvement. Attention should be paid to its update and progress.


Subject(s)
Humans , Bias , Environmental Exposure , Systematic Reviews as Topic
18.
Psychol. av. discip ; 15(2): 13-31, jul.-dic. 2021. tab
Article in English | LILACS | ID: biblio-1387056

ABSTRACT

Abstract Metacognition is an important higher-order thinking process for successful learning. The present study investigated the relation between students' (N = 65) expectations about their grade (expressed as difference scores between expected grade and actual grade) and their metacognitive monitoring accuracy and bias and the extent to which these difference scores in expected grade versus actual grade predicted accuracy and bias, employing an explanatory sequential quantitative(QUALITATIVE mixed method research design. The study also explored how students develop and refine metacognitive judgments and the types of strategies they employ during this process. Results revealed that there were significant relations between difference scores in expected grade versus actual grade and accuracy and bias (r = .02 to r = .89 in absolute value), and that difference scores significantly predicted both accuracy (R 2 = .52) and bias (R 2 = .69). Further, qualitative findings revealed that there were differences in how students developed and refined metacognitive judgments as a function of four aspects of learning: effort/preparation, strategy selection/implementation, planning, and evaluation. Educators should explicitly teach metacognitive monitoring skills to improve students' self-regulated learning.


Resumen La metacognición es un proceso importante de pensamiento de orden superior para un aprendizaje exitoso. El presente estudio investigó la relación entre las expectativas de los estudiantes sobre su nota (expresadas como puntuaciones de diferencia entre la nota esperada y la nota real) (N = 65) y su precisión y sesgo de monitoreo metacognitivo y el grado en que estas diferencias en la nota esperada versus la nota real predijeron la precisión y el sesgo, empleando un diseño de investigación secuencial explicativo cuantitativo-CUALITATIVO de método mixto. El estudio también exploró cómo los estudiantes desarrollan y refinan juicios metacognitivos y los tipos de estrategias que emplean durante este proceso. Los resultados revelaron que había relaciones significativas entre las diferencia de puntajes en la nota esperada versus la nota real y la precisión y el sesgo (r = .02 to r = .89, en valor absoluto), y que estas diferencia de puntajes predijo significativamente tanto la precisión (R 2 = .52) como el sesgo (R 2 = .69). Además, los hallazgos cualitativos revelaron que había diferencias en la forma en que los estudiantes desarrollaban y refinaban juicios metacognitivos en función de cuatro aspectos del aprendizaje: esfuerzo / preparación, selección / implementación de estrategias, planificación y evaluación. Los docentes deben enseñar explícitamente habilidades de monitoreo metacognitivo para mejorar el aprendizaje autorregulado de los estudiantes.


Subject(s)
Metacognition , Learning , Motivation , Students , Thinking , Bias , Comprehension
19.
Iatreia ; 34(4): 325-334, oct.-dic. 2021. tab, graf
Article in Spanish | LILACS | ID: biblio-1350832

ABSTRACT

RESUMEN El entendimiento del razonamiento clínico es una necesidad para la investigación, la docencia y la práctica clínica. Los modelos teóricos subyacentes podrían agruparse en tres grandes ejes no excluyentes. El primero es denominado bayesiano informal según su estructura semejante al análisis de probabilidades condicionales. El segundo propone (desde las ciencias cognitivas) un razonamiento dual que es la suma de dos tipos de pensamientos: el tipo 1, rápido e intuitivo y, el tipo 2, hipotético-deductivo. El tercero, el conocimiento intersubjetivo que involucra la interacción del saber del paciente sobre su condición con el del médico, además, de hacer explícito el papel de la emoción. En esta segunda entrega se presenta una revisión narrativa de estas teorías para poder proponer una definición integradora, en la que se presenta al razonamiento clínico como un constructo complejo, iterativo y adaptativo.


SUMMARY Understanding clinical reasoning is a crucial for research, teaching, and daily clinical practice. Theoretical models could be grouped into three main non-exclusive axes. The first describes probability-based thinking, called informal Bayesian, because of its similarity to the conditional probability analysis structure. The second, from the cognitive sciences, describes reasoning as the sum of two types of thinking: type 1 (fast and intuitive) and type 2 (hypothetical-deductive). Finally, the third, intersubjective knowledge, which involves the interaction of the patient's knowledge about his condition with the doctor's knowledge and also makes explicit the role of emotion. In this second part, a narrative review of current theories is presented in order to propose an integrative definition, in which clinical reasoning is presented as a complex, iterative and adaptive construct.


Subject(s)
Humans , Clinical Reasoning , Mental Processes , Decision Theory , Bias , Medical Errors
20.
Int. j. cardiovasc. sci. (Impr.) ; 34(5,supl.1): 114-120, Nov. 2021. tab, graf
Article in English | LILACS | ID: biblio-1346349

ABSTRACT

Abstract Background Self-reported hypertension is a useful method to estimate prevalence in the population. However, it is necessary to evaluate its accuracy, in relation to the gold-standard diagnostic methods of the disease. Objectives To estimate combined measures of sensitivity and specificity for self-reported hypertension, using Brazilian validation studies that included gold standard methods. Methods A systematic review and a meta-analysis were developed. Two independent examiners evaluated 1389 and read 113 potentially eligible articles. Since self-reported morbidity is influenced by the cultural and economic characteristics of a population, as well as by its accessibility to medical care, only studies from one country (Brazil) were included. First, a qualitative analysis was performed, evaluating the relationship between self-reported hypertension and its measurement through gold-standard methods. Subsequently, a meta-analysis estimated the combined sensitivity and specificity for the included studies. Due to a high heterogeneity among studies, the meta-analysis used a random effects model. Bias risks were evaluated by the QUADAS-2 protocol and the standard significance level of 10% was used in all modelling. Results Five studies were included in the qualitative analysis; and four had the necessary information for inclusion in the meta-analysis. Patient selection and Index Test (the question allowing for self-reporting) were the domains with the highest risk of bias. In the meta-analysis, combined sensitivity and specificity were 77%(95%CI:[74.5-79.0%]) and 88%(95%CI:[86.3-88.6%]), respectively. Conclusions The analysed studies allowed for the estimation of more reliable values for combined sensitivity and specificity. These values were higher than those usually found in studies with greater population heterogeneity.


Subject(s)
Humans , Self Report , Hypertension/epidemiology , Brazil/epidemiology , Bias , Sensitivity and Specificity , Hypertension/diagnosis
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