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RESUMEN Objetivo: Describir la cronología, evolución e impacto de la investigación global sobre el dolor crónico posoperatorio. Materiales y métodos: Estudio bibliométrico que utilizó la base de datos Scopus. Se diseñó y validó una búsqueda estructurada que permitió la recolección de metadatos, los cuales se analizaron a través del paquete Bibliometrix del lenguaje de programación R. Se realizó la descripción de las características generales, la evolución y el cálculo de métricas de impacto de la investigación global sobre el dolor crónico postoperatorio. Resultados: Se incluyeron 1496 documentos, con una ventana de tiempo entre 1983 y 2023. El 70,7 % (n = 1059) de la producción total fueron artículos originales, seguido de revisiones (n = 357; 23,8 %). Existió una colaboración internacional del 15,6 %, y, desde 1983, ha existido un crecimiento sostenido de la producción, con un incremento marcado en los últimos 13 años, donde el 2022 fue el año más fecundo (n = 191 documentos publicados). Se identificó que Canadá y Dinamarca lideran el impacto de la investigación global, y cuentan con los autores e instituciones más prolíficas. Sin embargo, Estados Unidos es el país más productivo, ya que lidera una importante colaboración, esencialmente junto a países europeos y latinos. Se encontró que el dolor neuropático, la valoración de factores de riesgo y el manejo del dolor son algunos de los tópicos más frecuentes. En los últimos 10 años, aproximadamente, ha existido un interés persistente en la investigación sobre calidad de vida, predicción, prevención y valoración de factores de riesgo. Últimamente, ha existido especial interés en el estudio del dolor en cirugía toracoscópica videoasistida y construcción de modelos de predicción. Conclusiones: Se reveló un crecimiento sostenido en la investigación global sobre dolor crónico postoperatorio, en los últimos 40 años. Dicho crecimiento ha estado liderado esencialmente por instituciones canadienses y danesas, a pesar de que se ha considerado a Estados Unidos como el país más prolífico. Asimismo, ha existido una transición importante en los tópicos estudiados, se ha pasado del uso de fármacos y determinación de factores de riesgo al estudio de modelos de predicción, sistematización de datos y cirugía videoasistida.

ABSTRACT Objective: To describe the chronology, evolution and impact of global research into chronic postoperative pain. Materials and methods: A bibliometric study was conducted using the Scopus database. A structured search was designed and validated, thereby allowing the collection of metadata, which were analyzed through the Bibliometrix package of the R programming language. The study involved the description of the general characteristics, evolution and calculation of impact metrics of global research into chronic postoperative pain. Results: The study included 1,496 documents, which spanned from 1983 to 2023. Original articles accounted for 70.7 % (n =1,059) of the total output, followed by reviews (n = 357; 23.8 %). There was an international collaboration rate of 15.6 %, and there has been sustained growth in output since 1983, with a sharp increase in the last 13 years, 2022 being the most prolific one (n =191 published documents). It was identified that Canada and Denmark lead the impact of global research and have the most productive authors and institutions. However, the United States is the most prolific country because it leads significant collaboration, mainly with European and Latin American countries. Neuropathic pain, risk factor assessment and pain management were identified as some of the most frequent topics. Over the past approximately 10 years, there has been persistent interest in research on quality of life, prediction, prevention, and risk factor assessment. Recently, there has been interest in studying pain in video-assisted thoracoscopic surgery and developing predictive models. Conclusions: The study revealed sustained growth in global research on chronic postoperative pain over the past 40 years. Such growth has been mainly led by Canadian and Danish institutions, despite the United States being the most prolific country. Moreover, there has been a significant transition in the studied topics, moving from the use of drugs and identification of risk factors to the study of predictive models, data systematization, and video-assisted surgery.

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OBJETIVO: Analizar la asociación entre fuentes de exposición al plomo (FEPb) y la concentración en sangre capilar (PbS) en menores de 1 a 4 años de edad a nivel nacional y regional, así como cuantificar la contribución relativa de las distintas FEPb. Material y métodos. Se utilizaron datos de la Encuesta Nacional de Salud y Nutrición (Ensanut 2022). Las FEPb consideradas fueron uso de loza de barro vidriada con plomo (LBVPb), residencia cercana a sitios contaminados y exposición paraocupacional. Se estimaron prevalencias de intoxicación (PbS ≥ 5.0 mg/dL) y medias geométricas de PbS. Se utilizaron modelos de regresión para PbS (escala logarítmica) y la descomposición Shapley-Owen de R2 para evaluar la contribución relativa de cada FEPb. RESULTADOS: Las FEPb estudiadas explican el 6% de la variabilidad de PbS a nivel nacional; de este, el 87.3% lo explica el uso de LBVPb, el 4.2% otras FEPb ambiental y 1.3% FEPb paraocupacionales. La contribución relativa del uso de LBVPb varía entre regiones, desde 38.1 a 76.8%. Algunas regiones destacan la FEPb ambiental, pero no paraocupacional. CONCLUSIONES: Los resultados confirman que el uso de LBVPb es la principal fuente de exposición reportada y sugieren que la población no identifica las principales FEPb documentadas hasta ahora.

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OBJETIVO: Describir y actualizar al año 2022 la prevalencia de intoxicación por plomo (Pb) en la población infantil de 1-4 años en México y describir fuentes de exposición ambiental, paraocupacional y uso de barro vidriado (BV). Material y métodos. Estudio en una muestra de menores que participaron en la Encuesta Nacional de Salud y Nutrición 2022 (Ensanut 2022). Se midió la concentración de plomo en sangre (PbS) capilar. Se aplicó un cuestionario para indagar sobre fuentes de exposición a Pb. RESULTADOS: Se midió PbS en 1 158 menores de 1-4 años. La prevalencia nacional de intoxicación por Pb (≥5.0 µg/dL) fue 16.8% (IC95%:13.6,20.5). La proporción de hogares que reportó exposición a una fuente exclusiva fue de 21.2, 17.7 y 7.4% para BV, exposición ambiental y paraocupacional, respectivamente. La prevalencia de intoxicación de los expuestos a una sola fuente fue 21.5%, y esta cifra aumenta a 24.2% entre quienes reportaron exposición combinada tres tipos de fuentes. Conclusión. La prevalencia nacional de intoxicación por plomo permaneció estable con respecto a lo reportado en la Ensanut 2018-19. El uso de BV es una fuente de exposición relevante, pero no es la única. Se identificó una contribución importante por exposición ambiental y, en menor medida, de exposición paraocupacional.

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Introduction: Systemic sclerosis (SSc) is a chronic autoimmune disease, marked by an unpredictable course, high morbidity, and increased mortality risk that occurs especially in the diffuse and rapidly progressive forms of the disease, characterized by fibrosis of the skin and internal organs and endothelial dysfunction. Recent studies suggest that the identification of altered metabolic pathways may play a key role in understanding the pathophysiology of the disease. Therefore, metabolomics might be pivotal in a better understanding of these pathogenic mechanisms. Methods: Through a systematic review of the literature following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Guidelines (PRISMA), searches were done in the PubMed, EMBASE, Web of Science, and Scopus databases from 2000 to September 2022. Three researchers independently reviewed the literature and extracted the data based on predefined inclusion and exclusion criteria. Results: Of the screened studies, 26 fulfilled the inclusion criteria. A total of 151 metabolites were differentially distributed between SSc patients and healthy controls (HC). The main deregulated metabolites were those derived from amino acids, specifically homocysteine (Hcy), proline, alpha-N-phenylacetyl-L-glutamine, glutamine, asymmetric dimethylarginine (ADMA), citrulline and ornithine, kynurenine (Kyn), and tryptophan (Trp), as well as acylcarnitines associated with long-chain fatty acids and tricarboxylic acids such as citrate and succinate. Additionally, differences in metabolic profiling between SSc subtypes were identified. The diffuse cutaneous systemic sclerosis (dcSSc) subtype showed upregulated amino acid-related pathways involved in fibrosis, endothelial dysfunction, and gut dysbiosis. Lastly, potential biomarkers were evaluated for the diagnosis of SSc, the identification of the dcSSc subtype, pulmonary arterial hypertension, and interstitial lung disease. These potential biomarkers are within amino acids, nucleotides, carboxylic acids, and carbohydrate metabolism. Discussion: The altered metabolite mechanisms identified in this study mostly point to perturbations in amino acid-related pathways, fatty acid beta-oxidation, and in the tricarboxylic acid cycle, possibly associated with inflammation, vascular damage, fibrosis, and gut dysbiosis. Further studies in targeted metabolomics are required to evaluate potential biomarkers for diagnosis, prognosis, and treatment response.

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Holocene-era range expansions are relevant to understanding how a species might respond to the warming and drying climates of today. The harsh conditions of North American deserts have phylogenetically structured desert bat communities but differences in flight capabilities are expected to affect their ability to compete, locate, and use habitat in the face of modern climate change. A highly vagile but data-deficient bat species, the spotted bat (Euderma maculatum), is thought to have expanded its range from central Mexico to western Canada during the Holocene. With specimens spanning this latitudinal extent, we examined historical demography, and used ecological niche modeling (ENM) and phylogeography (mitochondrial DNA), to investigate historic biogeography from the rear to leading edges of the species' range. The ENM supported the notion that Mexico was largely the Pleistocene-era range, whereas haplotype pattern and Skyline plots indicated that populations expanded from the southwestern US throughout the Holocene. This era provided substantial gains in suitable climate space and likely facilitated access to roosting habitat throughout the US Intermountain West. Incongruent phylogenies among different methods prevented a precise understanding of colonization history. However, isolation at the southern-most margin of the range suggests a population was left behind in Mexico as climate space contracted and are currently of unknown status. The species appears historically suited to follow shifts in climate space but differences in flight behaviors between leading edge and core-range haplogroups suggest range expansions could be influenced by differences in habitat quality or climate (e.g., drought). Although its vagility could facilitate response to environmental change and thereby avoid extinction, anthropogenic pressures at the core range could still threaten the ability for beneficial alleles to expand into the leading edge.

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BACKGROUND: Different modalities of quarantines were one of the main measures implemented worldwide to avoid the spread of SARS-CoV2 virus. AIM: To analyze and compare retrospectively the implementation of the Step- to-Step plan devised by the Chilean Ministry of Health during the pandemic. To propose a decision-making path based on an artificial intelligence fuzzy system to determine confinements in specific territories. MATERIAL AND METHODS: The Step-to-Step Plan threshold values such hospital network capacity, epidemic spreading, testing and contact tracing capability were modeled using fuzzy numbers and fuzzy rule-based systems. RESULTS: Ministry of Health's decision-making opportuneness were unrelated with the Step-to-Step Plan indicators for deconfinement. Such disagreements undermined epidemiological indicators. CONCLUSIONS: Using an artificial intelligence system could improve decision-making transparency, emergency governance, and risk communication to the population.

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BACKGROUND: Different modalities of quarantines were one of the main measures implemented worldwide to avoid the spread of SARS-CoV2 virus. AIM: To analyze and compare retrospectively the implementation of the Step- to-Step plan devised by the Chilean Ministry of Health during the pandemic. To propose a decision-making path based on an artificial intelligence fuzzy system to determine confinements in specific territories. MATERIAL AND METHODS: The Step-to-Step Plan threshold values such hospital network capacity, epidemic spreading, testing and contact tracing capability were modeled using fuzzy numbers and fuzzy rule-based systems. RESULTS: Ministry of Health's decision-making opportuneness were unrelated with the Step-to-Step Plan indicators for deconfinement. Such disagreements undermined epidemiological indicators. CONCLUSIONS: Using an artificial intelligence system could improve decision-making transparency, emergency governance, and risk communication to the population.

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Objective: to evaluate the performance statistics of average flow (Qave), voiding time (Vtime), and time to maximum flow (TQmax), in addition to maximum flow (Qmax), for diagnosis of infravesical obstruction. Methods: we reviewed urodynamic studies performed in men > 40 years. Obstruction was considered a grade 3-6 in the Schäfer nomogram. Sensitivity, specificity, positive likelihood ratio (LR+), negative likelihood ratio (LR-), and the receiver operator characteristic (ROC) curve were calculated for the different components of free uroflowmetry. Results: we analyzed 432 studies. Patients with obstruction had lower values of Qmax and Qave, and higher values of Vtime and TQmax. Considering different thresholds, Qmax had sensitivity, specificity, LR + and LR- values of 12-83%, 50-97%, 1.7-4.46 and 0.32-0.9, respectively; Qave had sensitivity, specificity, LR + and LR- values of 65-95%, 21-66%, 1.22-1.94 and 0.19-0.53, respectively; Vtime had sensitivity, specificity, LR + and LR- values of 49-85%, 26-67%, 1.15-1.54, and 0.57-0.74, respectively; TQmax had a sensitivity, specificity, LR + and LR- of 36-81%, 22-72%, 1.04-1.33 and 0.85-0.87, respectively. The areas under the ROC curves for Qmax, Qave, Vtime and TQmax were 0.75 (95% CI = 0.71-0.79, p < 0.001), 0.71 (95% CI = 0.66-0.75, p < 0.001), 0.62 (95% CI = 0.57-0.67, p < 0.001) and 0.55 (95% CI = 0.5-0.6, p = 0.03), respectively. Conclusions: Qave, Vtime, and TQmax showed a statistically significant discriminatory capacity to predict infravesical obstruction, and therefore they have clinical value as a complement to the information provided by Qmax.

Objetivo: evaluar las estadísticas de desempeño del flujo promedio (Qave), el tiempo de evacuación (Vtime) y el tiempo hasta el flujo máximo (TQmax), además del flujo máximo (Qmax), para el diagnóstico de obstrucción infravesical. Métodos: revisamos urodinamias realizadas en hombres > 40 años. La obstrucción se consideró un grado 3-6 en el nomograma de Schäfer. Se calcularon la sensibilidad, la especificidad, la razón de verosimilitud positiva (LR +), la razón de verosimilitud negativa (LR-) y la curva característica operativa del receptor (ROC) para los diferentes componentes de la flujometría libre. Resultados: analizamos 443 estudios. Los pacientes con obstrucción tenían valores más bajos de Qmax y Qave, y valores más altos de Vtime y TQmax. Considerando diferentes umbrales, el Qmax tuvo valores de sensibilidad, especificidad, LR + y LR- de 12-83%, 50-97%, 1.7-4.46 y 0.32-0.9, respectivamente; Qave tuvo valores de sensibilidad, especificidad, LR + y LR- de 65-95%, 21-66%, 1.22-1.94 y 0.19-0.53, respectivamente; Vtime tuvo valores de sensibilidad, especificidad, LR + y LR- de 49-85%, 26-67%, 1.15-1.54 y 0.57-0.74, respectivamente; TQmax tuvo una sensibilidad, especificidad, LR + y LR- de 36-81%, 22-72%, 1.04-1.33 y 0.85-0.87, respectivamente. Las áreas bajo las curvas ROC para Qmax, Qave, Vtime y TQmax fueron 0,75 (95% CI = 0.71-0.79, p < 0,001), 0.71 (95% CI = 0.66-0.75, p < 0,001), 0.62 (95% CI = 0.57-0.67, p < 0,001) y 0.55 (95% CI = 0.5-0.6, p = 0.03), respectivamente. Conclusiones: Qave, Vtime y TQmax mostraron una capacidad discriminatoria estadísticamente significativa para predecir la obstrucción infravesical, por lo que tienen valor clínico como complemento de la información proporcionada por el Qmax.

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Background: Radiotherapy (RT) is an essential element in cancer treatment: 50-70% of cancer patients receive RT at some time of the course of their disease. Of these, almost 95% experience some grade of radiation dermatitis (RD). RD can affect patient's quality of life during and after treatment. Consequently, the management of RD is important. There are few randomized controlled clinical trials on interventions used to prevent and treat RD and no standardized consensus on RD management. A panel of opinion leaders of the Mexican Society of Radiotherapy (SOMERA) took part in a study of oncologic practice in Mexico. The following clinical guide is referenced both by the national practice reality and international evidence. Materials and methods: This RD management guide is based on input provided by 25 Mexican radiation oncologists, whose criteria were gathered using the Delphi Method and article review. Results: Twenty-one questions about experience in RD treatment were voted. More than 80% of the panel agreed with: the use of dermocosmetics/medical device in prevention and in treatment of RD grades 1-2. As for grade 3, they recommend individualizing each case and dermatologist evaluation. Topical steroids should be used when there is skin itching or pain. Consider the use of natural soaking elements. Skin care must be continued to avoid or reduce severity of late radiation skin lesions. Conclusion: This consensus was developed as a supportive educational tool that can be adapted to individual clinical needs, useful for professionals involved in the treatment of RT patients.

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Literature on social networks and elections has focused on predicting electoral outcomes rather than on understanding how the discussions between users evolve over time. As a result, most studies focus on a single election and few comparative studies exist. In this article, a framework to analyze Twitter conversations about the election candidates is proposed. Using DeGroot's consensus model (an assumption that all users are attempting to persuade others to talk about a candidate), this framework is useful to identify the structure and strength of connections of the mention networks on the months before an election day. It also helps to make comparisons between elections and identify patterns in different contexts. In concrete, it was found that elections in which the incumbent was running have slower convergence (more closed communities with fewer links between them) and that there is no difference between parliamentary and presidential elections. Therefore, there is evidence that the political system and the role of the incumbent in the election influences the way conversations on Twitter occur.

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