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RevueThe Lancet Neurology · 2023
Typereview
Langueen
DomaineImmunology and Microbiology
ThématiqueBacterial Infections and Vaccines
Établissements canadiensnon disponible
Organismes subventionnairesHealth Data Research UKEuropean Social FundDivision of Human Resource DevelopmentFaculty of Medicine and Health, University of SydneySistema Nacional de InvestigadoresRussian Academy of SciencesFundação para a Ciência e a TecnologiaNational Health and Medical Research CouncilMaryland Population Research Center, University of MarylandSamsungDirectorate for Biological SciencesNational Institutes of HealthUniwersytet OpolskiHumanitas Research HospitalPirogov Russian National Research Medical UniversityUniversitas Sam RatulangiNIH Clinical CenterMoscow Institute of Physics and TechnologyJahrom University of Medical SciencesImam Abdulrahman Bin Faisal UniversityLingnan UniversityKurdistan University Of Medical SciencesAl-Farabi Kazakh National UniversityUniversity of NizwaLorestan University of Medical SciencesAlborz University of Medical SciencesKwame Nkrumah University of Science and TechnologyGonabad University of Medical SciencesUniversity of ZanjanKhulna UniversityDire Dawa UniversityZanjan University of Medical SciencesTarbiat Modares UniversityAlfaisal UniversityUniversity of GondarMadda Walabu UniversityShahid Bahonar University of KermanFakultet Medicinskih Nauka, Univerziteta U KragujevcuUniversitatea de Medicină şi Farmacie "Carol Davila" BucureştiUniversidade Federal de Minas GeraisUrmia UniversityUniversity of Cape TownSecretaría Nacional de Ciencia, Tecnología e InnovaciónYarmouk UniversityUniversidade de LisboaShahrekord University of Medical SciencesUniversitetet i OsloMasarykova UniverzitaUniversitair Medisch Centrum GroningenLeids Universitair Medisch CentrumNankai UniversityShahrekord UniversityIndian Council of Medical ResearchWestfälische Wilhelms-Universität MünsterKing Fahad Medical CityHaramaya UniversityInyuvesi Yakwazulu-NataliFederation University AustraliaAbdul Wali Khan University MardanUniversiti Kebangsaan MalaysiaGolestan University of Medical SciencesCardiff UniversityUniversità di CataniaUniversità degli Studi di FirenzeSultan Qaboos UniversityRajiv Gandhi University of Health SciencesNational Cheng Kung UniversityKing Abdulaziz UniversityUrmia University of Medical SciencesUniversitas PadjadjaranUniversity of the Western CapeTulane UniversitySungkyunkwan UniversityGachon UniversityUniversity of ExeterKyung Hee UniversityUniversidad de ConcepciónYonsei UniversityMinistarstvo Prosvete, Nauke i Tehnološkog RazvojaKing Saud UniversityCentro Interdisciplinar de Investigação Marinha e AmbientalAin Shams UniversityWollega UniversityUniversiteit StellenboschPublic Health EnglandMinisterstvo Školství, Mládeže a TělovýchovyTabriz University of Medical SciencesUniversitas IndonesiaUniversity of Technology SydneyUniversity of PretoriaUniversity of New South WalesRijksuniversiteit GroningenCleveland ClinicUniversity College CorkAmity UniversityDebre Tabor UniversityShahid Beheshti University of Medical SciencesPrince Sattam bin Abdulaziz UniversityCancer Institute NSWUniversity of LeedsMcMaster UniversityUniversity of OxfordIsfahan University of Medical SciencesSyddansk UniversitetManipal Academy of Higher EducationMeningitis Research FoundationHormozgan University of Medical SciencesKasturba Medical College, ManipalNorthwell HealthCase Western Reserve UniversityUniversity of SydneyUniversity of WollongongAsian Institute of Medicine, Science and TechnologyNemzeti Kutatási Fejlesztési és Innovációs HivatalUniversity of Engineering and Technology, LahoreMonash UniversitySouth Eastern Sydney Local Health DistrictIran University of Medical SciencesRajarata University of Sri LankaShaqra UniversityLebanese American UniversitySüleyman Demirel ÜniversitesiAnglia Ruskin UniversityTaibah UniversityInternational Medical UniversityWellcome TrustMinistero della SaluteArizona State UniversityNational Institute for Health and Care ResearchUniversity of PatrasUniversity of KarachiCharles Sturt UniversityUniversidade do PortoAustralian GovernmentStudent Research Committee, Tabriz University of Medical SciencesBahir Dar UniversitySheffield Hallam UniversityMazandaran University of Medical SciencesNational Heart, Lung, and Blood InstituteCentre Hospitalier Universitaire VaudoisUniversiteit LeidenUniversiti Tun Hussein Onn MalaysiaJames Cook UniversityRajshahi UniversitySaveetha Institute of Medical and Technical SciencesUniversity of TabrizEuropean CommissionHelsingin YliopistoDilla UniversityUniversität BaselUniversidade da Beira InteriorUniversity of Central PunjabAhvaz Jundishapur University of Medical SciencesMassachusetts General HospitalHawassa UniversityKuwait UniversityUniversidade de São PauloAcademy of Scientific Research and TechnologyBaqiyatallah University of Medical SciencesUniversity of MinnesotaTechnische Universität MünchenIndiana University HealthCleveland Clinic FoundationUniversidad de AntioquiaNew Mexico State UniversityUniversity of South CarolinaIslamic Azad UniversityU.S. Department of Veterans AffairsRice UniversityVanderbilt UniversityNational University of SingaporeUniversitatea din BucureștiLa Trobe UniversityCurtin University of TechnologyBill and Melinda Gates Foundation
Mots-clésBurden of diseaseMedicineDiseaseMeningitisDisease burdenIntensive care medicineGlobal healthEnvironmental healthPediatricsPublic healthInternal medicinePathology
Résumé
récupéré en direct d'OpenAlexBACKGROUND: Although meningitis is largely preventable, it still causes hundreds of thousands of deaths globally each year. WHO set ambitious goals to reduce meningitis cases by 2030, and assessing trends in the global meningitis burden can help track progress and identify gaps in achieving these goals. Using data from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019, we aimed to assess incident cases and deaths due to acute infectious meningitis by aetiology and age from 1990 to 2019, for 204 countries and territories. METHODS: We modelled meningitis mortality using vital registration, verbal autopsy, sample-based vital registration, and mortality surveillance data. Meningitis morbidity was modelled with a Bayesian compartmental model, using data from the published literature identified by a systematic review, as well as surveillance data, inpatient hospital admissions, health insurance claims, and cause-specific meningitis mortality estimates. For aetiology estimation, data from multiple causes of death, vital registration, hospital discharge, microbial laboratory, and literature studies were analysed by use of a network analysis model to estimate the proportion of meningitis deaths and cases attributable to the following aetiologies: Neisseria meningitidis, Streptococcus pneumoniae, Haemophilus influenzae, group B Streptococcus, Escherichia coli, Klebsiella pneumoniae, Listeria monocytogenes, Staphylococcus aureus, viruses, and a residual other pathogen category. FINDINGS: In 2019, there were an estimated 236 000 deaths (95% uncertainty interval [UI] 204 000-277 000) and 2·51 million (2·11-2·99) incident cases due to meningitis globally. The burden was greatest in children younger than 5 years, with 112 000 deaths (87 400-145 000) and 1·28 million incident cases (0·947-1·71) in 2019. Age-standardised mortality rates decreased from 7·5 (6·6-8·4) per 100 000 population in 1990 to 3·3 (2·8-3·9) per 100 000 population in 2019. The highest proportion of total all-age meningitis deaths in 2019 was attributable to S pneumoniae (18·1% [17·1-19·2]), followed by N meningitidis (13·6% [12·7-14·4]) and K pneumoniae (12·2% [10·2-14·3]). Between 1990 and 2019, H influenzae showed the largest reduction in the number of deaths among children younger than 5 years (76·5% [69·5-81·8]), followed by N meningitidis (72·3% [64·4-78·5]) and viruses (58·2% [47·1-67·3]). INTERPRETATION: Substantial progress has been made in reducing meningitis mortality over the past three decades. However, more meningitis-related deaths might be prevented by quickly scaling up immunisation and expanding access to health services. Further reduction in the global meningitis burden should be possible through low-cost multivalent vaccines, increased access to accurate and rapid diagnostic assays, enhanced surveillance, and early treatment. FUNDING: Bill & Melinda Gates Foundation.
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 enseignantsNi 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)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Synthèse · Signal consensuel: Synthèse
Score de désaccord entre enseignants0,691
Score d'incertitude au seuil0,597
Scores Codex et Gemma par catégorie
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 Opus0,088
Tête enseignante GPT0,353
Écart entre enseignants0,265 · 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
