MétaCan
Menu
Retour à la cohorte
Enregistrement W4380986318 · doi:10.1016/s2352-3026(23)00118-7

Global, regional, and national prevalence and mortality burden of sickle cell disease, 2000–2021: a systematic analysis from the Global Burden of Disease Study 2021

2023· article· en· W4380986318 sur OpenAlexfundno aff
Azalea Thomson, Theresa A. McHugh, Assaf P. Oron, Corey Teply, Nikhil Lonberg, Victor Vilchis Tella, Lauren B. Wilner, Kia Fuller, Hailey Hagins, Richard Gyan Aboagye, Melka Biratu Aboye, Eman Abu‐Gharbieh, Ahmed Abu‐Zaid, Isaac Yeboah Addo, Bright Opoku Ahinkorah, Aqeel Ahmad, Saif Aldeen AlRyalat, Hubert Amu, Aleksandr Y. Aravkin, Judie Arulappan, Maha Atout, Ashish Badiye, Sara Bagherieh, Maciej Banach, Morteza Banakar, Mainak Bardhan, Amadou Barrow, Deriba Bedane, Isabela M. Benseñor, Akshaya Srikanth Bhagavathula, Pankaj Bhardwaj, Prarthna V Bhardwaj, Ajay Nagesh Bhat, Zulfiqar A Bhutta, Mariah Malak Bilalaga, Jessica Devin Bishai, Saeid Bitaraf, Archith Boloor, Muhammad Hammad Butt, Vijay Kumar Chattu, Dinh‐Toi Chu, Omid Dadras, Xiaochen Dai, Bardia Danaei, Anh Kim Dang, Fitsum Wolde Demisse, Meghnath Dhimal, Daniel Díaz, Shirin Djalalinia, Deepa Dongarwar, Muhammed Elhadi, Mohamed A. Elmonem, Christopher Imokhuede Esezobor, Farshid Etaee, Oghenowede Eyawo, Adeniyi Francis Fagbamigbe, Ali Fatehizadeh, Lisa M Force, William M. Gardner, Kazem Ghaffari, Paramjit Gill, Mahaveer Golechha, Pouya Goleij, Vivek Gupta, Hamidreza Hasani, Treska S Hassan, Mohammed Bheser Hassen, Segun Emmanuel Ibitoye, Adalia I Ikiroma, Chidozie C D Iwu, Peter James, Shubha Jayaram, Rime Jebai, Ravi Prakash Jha, Nitin Joseph, Farnaz Kalantar, Himal Kandel, Ibraheem M. Karaye, Woldeteklehaymanot Kassahun, Imteyaz Ahmad Khan, Shaghayegh Khanmohammadi, Adnan Kısa, Farzad Kompani, Kewal Krishan, Iván Landires, Stephen S Lim, Preetam Mahajan, Azeem Majeed, Bishnu P. Marasini, Haftu Asmerom, Tomislav Meštrović, Sonica Minhas, Awoke Misganaw, Ali H. Mokdad, Lorenzo Monasta, Ghulam Mustafa, Tapas Sadasivan Nair, Sreenivas Narasimha Swamy, Hasan Nassereldine, Zuhair S. Natto, Muhammad Naveed, Biswa Prakash Nayak, Jean Jacques Noubiap, Taylor Noyes, Chisom Adaobi Nri-Ezedi, Vincent Ebuka Nwatah, Chimezie Igwegbe Nzoputam, Ogochukwu Janet Nzoputam, Osaretin Christabel Okonji, Adeyinka Onikan, Mayowa Owolabi, Jay Patel, Siddhartha Pati, Shrikant Pawar, Ionela-Roxana Petcu, Frédéric B. Piel, Ibrahim Qattea, Mehran Rahimi, Mosiur Rahman, Salman Rawaf, Elrashdy M. Redwan, Nazila Rezaei, Basema Saddik, Umar Saeed, Fatemeh Saheb Sharif‐Askari, Abdallah M Samy, Austin E Schumacher, Elaheh Shaker, Adithi Shetty, Migbar Mekonnen Sibhat, Jasvinder A. Singh, Muhammad Suleman, Dev Ram Sunuwar, Mindy D Szeto, Jacques Lukenze Tamuzi, Nathan Y Tat, Birhan Tsegaw Taye, Mohamad‐Hani Temsah, Muhammad Umair, Sahel Valadan Tahbaz, Cong Wang, Nuwan Darshana Wickramasinghe, Arzu Yiğit, Vahit Yiğit, Ismaeel Yunusa, Burhan Abdullah Zaman, Moein Zangiabadian, Peng Zheng, Simon I Hay, Mohsen Naghavi, Christopher J L Murray, Nicholas J Kassebaum

Notice bibliographique

RevueThe Lancet Haematology · 2023
Typearticle
Langueen
DomaineMedicine
ThématiqueHemoglobinopathies and Related Disorders
Établissements canadiensnon disponible
Organismes subventionnairesSistema Nacional de InvestigadoresWarwick Medical SchoolNational Health and Medical Research CouncilMedical Research CouncilUniversidad Autónoma de SinaloaSecretaría Nacional de Ciencia, Tecnología e InnovaciónShahid Beheshti University of Medical SciencesUniversidad Nacional Autónoma de MéxicoUniversity of JordanUniversitetet i BergenJawaharlal Institute Of Postgraduate Medical Education and ResearchAhvaz Jundishapur University of Medical SciencesTehran University of Medical Sciences and Health ServicesSultan Qaboos UniversityShiraz University of Medical SciencesShiraz UniversityUniwersytet ŁódzkiKing Abdulaziz UniversityManipal Academy of Higher EducationIsfahan University of Medical SciencesBanaras Hindu UniversityDepartment of Sport and Recreation, Government of Western AustraliaUniversity of SydneyMinistero della SaluteSouthern Cross UniversityUniversity Grants CommissionIndian Council of Medical ResearchNational Institute for Health and Care ResearchMinistry of Health and Medical EducationUniversity of PretoriaBabol University of Medical SciencesCleveland ClinicYork UniversityScience and Technology Development FundUniversity of TorontoMacquarie UniversityImperial College LondonPhiladelphia UniversityUniversity of Technology SydneyUniversity of WarwickHøgskulen på VestlandetUniversity of Central PunjabUniversity of AberdeenUniversidade de São PauloSouth Eastern Sydney Local Health DistrictCleveland Clinic FoundationFlorida International UniversityAin Shams UniversityKing Abdulaziz City for Science and TechnologyAcademy of Scientific Research and TechnologyShaqra UniversityTulane UniversityIran University of Medical SciencesChandigarh UniversityTrường Đại học Duy TânAlfaisal UniversityKasturba Medical College, ManipalUniversity of New South WalesYale UniversityKarolinska InstitutetBill and Melinda Gates Foundation
Mots-clésMedicineDiseaseEpidemiologyPopulationIncidence (geometry)Disease burdenMortality ratePediatricsAcute chest syndromeSickle cell anemiaDemographyEnvironmental healthInternal medicine

Résumé

récupéré en direct d'OpenAlex

BACKGROUND: Previous global analyses, with known underdiagnosis and single cause per death attribution systems, provide only a small insight into the suspected high population health effect of sickle cell disease. Completed as part of the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021, this study delivers a comprehensive global assessment of prevalence of sickle cell disease and mortality burden by age and sex for 204 countries and territories from 2000 to 2021. METHODS: We estimated cause-specific sickle cell disease mortality using standardised GBD approaches, in which each death is assigned to a single underlying cause, to estimate mortality rates from the International Classification of Diseases (ICD)-coded vital registration, surveillance, and verbal autopsy data. In parallel, our goal was to estimate a more accurate account of sickle cell disease health burden using four types of epidemiological data on sickle cell disease: birth incidence, age-specific prevalence, with-condition mortality (total deaths), and excess mortality (excess deaths). Systematic reviews, supplemented with ICD-coded hospital discharge and insurance claims data, informed this modelling approach. We employed DisMod-MR 2.1 to triangulate between these measures-borrowing strength from predictive covariates and across age, time, and geography-and generated internally consistent estimates of incidence, prevalence, and mortality for three distinct genotypes of sickle cell disease: homozygous sickle cell disease and severe sickle cell β-thalassaemia, sickle-haemoglobin C disease, and mild sickle cell β-thalassaemia. Summing the three models yielded final estimates of incidence at birth, prevalence by age and sex, and total sickle cell disease mortality, the latter of which was compared directly against cause-specific mortality estimates to evaluate differences in mortality burden assessment and implications for the Sustainable Development Goals (SDGs). FINDINGS: Between 2000 and 2021, national incidence rates of sickle cell disease were relatively stable, but total births of babies with sickle cell disease increased globally by 13·7% (95% uncertainty interval 11·1-16·5), to 515 000 (425 000-614 000), primarily due to population growth in the Caribbean and western and central sub-Saharan Africa. The number of people living with sickle cell disease globally increased by 41·4% (38·3-44·9), from 5·46 million (4·62-6·45) in 2000 to 7·74 million (6·51-9·2) in 2021. We estimated 34 400 (25 000-45 200) cause-specific all-age deaths globally in 2021, but total sickle cell disease mortality burden was nearly 11-times higher at 376 000 (303 000-467 000). In children younger than 5 years, there were 81 100 (58 800-108 000) deaths, ranking total sickle cell disease mortality as 12th (compared to 40th for cause-specific sickle cell disease mortality) across all causes estimated by the GBD in 2021. INTERPRETATION: Our findings show a strikingly high contribution of sickle cell disease to all-cause mortality that is not apparent when each death is assigned to only a single cause. Sickle cell disease mortality burden is highest in children, especially in countries with the greatest under-5 mortality rates. Without comprehensive strategies to address morbidity and mortality associated with sickle cell disease, attainment of SDG 3.1, 3.2, and 3.4 is uncertain. Widespread data gaps and correspondingly high uncertainty in the estimates highlight the urgent need for routine and sustained surveillance efforts, further research to assess the contribution of conditions associated with sickle cell disease, and widespread deployment of evidence-based prevention and treatment for those with sickle cell disease. 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.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,010
score de la tête « metaresearch » (Gemma)0,016
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Méta-analyse · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,036
Score d'incertitude au seuil0,072

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0100,016
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0030,009
Bibliométrie0,0090,010
Études des sciences et des technologies0,0000,001
Communication savante0,0010,001
Science ouverte0,0010,002
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

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 Opus0,026
Tête enseignante GPT0,306
Écart entre enseignants0,280 · 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

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeMéta-analyse
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations666
Publié2023
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueThe Lancet HaematologyMême sujetHemoglobinopathies and Related DisordersTravaux en français237 207