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Enregistrement W2801828415 · doi:10.1001/jama.2018.10060

Global Mortality From Firearms, 1990-2016

2018· article· en· W2801828415 sur OpenAlex

Pourquoi ce travail est dans la base

Une base qui oublie comment elle a trouvé un travail ne peut pas être vérifiée. Voici les voies qui ont admis celui-ci.

affAu moins un auteur déclare une institution canadienne dans l'instantané OpenAlex épinglé.

Notice bibliographique

RevueJAMA · 2018
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueGun Ownership and Violence Research
Établissements canadiensUniversity of British ColumbiaSickKids FoundationHospital for Sick ChildrenUniversity of Toronto
Organismes subventionnairesMedical Research CouncilCollege of Medicine, Seoul National UniversitySchool of Public Health and Family Medicine, University of Cape TownSchool of Medicine, University of Alabama at BirminghamDamietta UniversityWestern Sydney UniversityLorestan University of Medical SciencesAlborz University of Medical SciencesUniversity of PeradeniyaXiamen UniversityNorwegian Institute of Public HealthAddis Ababa UniversityAll-India Institute of Medical SciencesUniversidade Federal de Minas GeraisUniversity of Cape TownTampereen YliopistoUniversity of HaifaUniversidade Federal de SergipeHaramaya UniversityInyuvesi Yakwazulu-NataliTaipei Medical UniversityShiraz University of Medical SciencesUnited Nations Population FundKarolinska InstitutetHospital de Clínicas de Porto AlegreMekelle UniversityGeorg-August-Universität GöttingenSeoul National UniversityUniversidade do PortoBundesministerium für GesundheitUniversidad Nacional de ColombiaYonsei UniversitySouth African Medical Research CouncilGriffith UniversityAhmadu Bello UniversityUniversitas Negeri SemarangShanghai Jiao Tong UniversityMaragheh University of Medical SciencesUniversiteit StellenboschPublic Health EnglandTrường Đại học Duy TânIran University of Medical SciencesTehran University of Medical Sciences and Health ServicesUniversidade Federal do Rio Grande do SulHarvard UniversityChildren’s Hospital of Wisconsin Research InstituteNational Center for Child Health and DevelopmentRMIT UniversityUniversity College LondonCase Western Reserve UniversityImperial College LondonUniversity of WashingtonErasmus Universitair Medisch Centrum RotterdamMurdoch Children's Research InstituteSaint Paul's Hospital Millennium Medical CollegeShiraz UniversityHelsingin YliopistoDeakin UniversityUniversity of West FloridaBall State UniversityJordan University of Science and TechnologyUniverzita Komenského v BratislaveLunds UniversitetKing's College London
Mots-clésMedicineHomicideInjury preventionPoison controlDemographySuicide preventionOccupational safety and healthPer capitaMortality rateHuman factors and ergonomicsConfidence intervalEnvironmental healthSurgeryPopulation

Résumé

récupéré en direct d'OpenAlex

Importance: Understanding global variation in firearm mortality rates could guide prevention policies and interventions. Objective: To estimate mortality due to firearm injury deaths from 1990 to 2016 in 195 countries and territories. Design, Setting, and Participants: This study used deidentified aggregated data including 13 812 location-years of vital registration data to generate estimates of levels and rates of death by age-sex-year-location. The proportion of suicides in which a firearm was the lethal means was combined with an estimate of per capita gun ownership in a revised proxy measure used to evaluate the relationship between availability or access to firearms and firearm injury deaths. Exposures: Firearm ownership and access. Main Outcomes and Measures: Cause-specific deaths by age, sex, location, and year. Results: Worldwide, it was estimated that 251 000 (95% uncertainty interval [UI], 195 000-276 000) people died from firearm injuries in 2016, with 6 countries (Brazil, United States, Mexico, Colombia, Venezuela, and Guatemala) accounting for 50.5% (95% UI, 42.2%-54.8%) of those deaths. In 1990, there were an estimated 209 000 (95% UI, 172 000 to 235 000) deaths from firearm injuries. Globally, the majority of firearm injury deaths in 2016 were homicides (64.0% [95% UI, 54.2%-68.0%]; absolute value, 161 000 deaths [95% UI, 107 000-182 000]); additionally, 27% were firearm suicide deaths (67 500 [95% UI, 55 400-84 100]) and 9% were unintentional firearm deaths (23 000 [95% UI, 18 200-24 800]). From 1990 to 2016, there was no significant decrease in the estimated global age-standardized firearm homicide rate (-0.2% [95% UI, -0.8% to 0.2%]). Firearm suicide rates decreased globally at an annualized rate of 1.6% (95% UI, 1.1-2.0), but in 124 of 195 countries and territories included in this study, these levels were either constant or significant increases were estimated. There was an annualized decrease of 0.9% (95% UI, 0.5%-1.3%) in the global rate of age-standardized firearm deaths from 1990 to 2016. Aggregate firearm injury deaths in 2016 were highest among persons aged 20 to 24 years (for men, an estimated 34 700 deaths [95% UI, 24 900-39 700] and for women, an estimated 3580 deaths [95% UI, 2810-4210]). Estimates of the number of firearms by country were associated with higher rates of firearm suicide (P < .001; R2 = 0.21) and homicide (P < .001; R2 = 0.35). Conclusions and Relevance: This study estimated between 195 000 and 276 000 firearm injury deaths globally in 2016, the majority of which were firearm homicides. Despite an overall decrease in rates of firearm injury death since 1990, there was variation among countries and across demographic subgroups.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesCharge utile insuffisante (le modèle a refusé de juger)
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,253
Score d'incertitude au seuil0,999

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,001
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0020,001

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,067
Tête enseignante GPT0,403
Écart entre enseignants0,336 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle