{"ok":true,"nota":{"id":"0711c6e5b33f37f6","slug":"un-analisis-de-un-millon-de-casos-en-maryland-relativiza-algunos-facto-0711c6","titulo":"Un análisis de un millón de casos en Maryland relativiza algunos factores de riesgo de suicidio","resumen":"Investigadores usaron un registro de más de un millón de personas, fallecidas por suicidio y vivas, para estimar qué factores pesan más en el riesgo. Aplicaron métodos de ponderación por puntaje de propensión para comparar grupos parecidos.","fuente":"medrxiv","fuenteNombre":"medRxiv · preprints","color":"#1f7a4d","autor":"Kitchen, C., Kush, J., Zirikly, A., Belouali, A., Nestadt, P., Wilcox, H., Kharrazi, H.","url":"https://www.medrxiv.org/content/10.64898/2026.10.19.26364526v1?rss=1","imagen":"/hoy/portada/0711c6e5b33f37f6","tema":"salud","subtemas":["suicidio","prevención","factores de riesgo","salud mental","estadística médica"],"entidades":["Maryland","Estados Unidos"],"formato":"dato","entretenimiento":false,"pubTs":"2026-10-21T00:00:00.000Z","indexTs":"2026-10-22T04:37:56.220Z","hash":"6680175e968f640f6cdb8eeaa1a3f0e466a6db0e7685d849cefa2eed83d1f498","tsa":{"time":"Oct 22 04:38:38 2026 GMT","provider":"freetsa.org","sobre":"sello"},"stats":{"views":2,"likes":1,"clicks":0,"dwell":237},"tipo":"normal","registro":"hallazgo","porQueImporta":"Saber qué aumenta el riesgo de suicidio ayuda a decidir a quién priorizar en la prevención. Este trabajo sugiere que algunos factores que se daban por seguros no se sostienen igual cuando se comparan personas similares. Para el sistema de salud argentino, eso importa a la hora de diseñar alertas en guardias y控制 de atención. Como es un estudio de un solo estado de Estados Unidos, conviene leerlo como una pista, no como una regla.","quienFirma":"Estado de Maryland, Estados Unidos (institución específica no indicada en el resumen)","confianza":"preprint","consulta":null},"sello":{"hash":"6680175e968f640f6cdb8eeaa1a3f0e466a6db0e7685d849cefa2eed83d1f498","sello":"32a4312ff9a5cd70a393a72996d3bb822abccd54a7e4e294e6125f6fa0f0c8bd","beacon":{"drand":{"cadena":"8990e7a9aaed2ffed73dbd7092123d6f289930540d7651336225dc172e51b2ce","ronda":6573763,"aleatorio":"ac1ab9766ef209323093f9521e7402b29370fa8f04af200361451518fae9c9b2","tiempo":"2026-10-22T04:38:30.000Z"},"nist":{"cadena":2,"pulso":1994087,"salida":"2CAE0B0247F8B2C1365D5848B4971A88B86F8096596AB659C9B46851CC37B71B43230BE62392778D57CA4D0DAE3440419DC67D4E27A84A89E3AA5B314736F2A3","tiempo":"2026-10-22T04:38:00.000Z"},"noAntes":"2026-10-22T04:38:30.000Z"},"verificacion":{"drand":true,"nist":true},"tsa":{"time":"Oct 22 04:38:38 2026 GMT","provider":"freetsa.org","sobre":"sello"},"original":{"titulo":"A Review of Suicide-Related Risks through Propensity Score Methods using the Maryland Suicide Data Warehouse","descripcion":"Objective A diversity of approaches and cohorts have been published in research literature for suicide risk estimation, leading to some uncertainty around which factors and conditions are most strongly contributing to risk. Methods exist for weighting estimates by propensity score, removing simplifying the interpretation of model effects. Few studies have explored the use of these tools to assess when the effect of certain factors is uncertain or inconsistent. Method A mix of 1,001,737 suicide decedents and living patients were evaluated for suicide risk, relying on a subset of commonly identified factors: demographics, psychiatric conditions, substance use disorders, and social needs. Care ","pubDate":"2026-10-21","url":"https://www.medrxiv.org/content/10.64898/2026.10.19.26364526v1?rss=1"},"indexado":"2026-10-22T04:37:56.220Z"}}