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Enregistrement W4404582246 · doi:10.1016/j.eclinm.2024.102924

The global, regional, and national burden of urolithiasis in 204 countries and territories, 2000–2021: a systematic analysis for the Global Burden of Disease Study 2021

2024· article· en· W4404582246 sur OpenAlexfundno aff
Atalel Fentahun Awedew, Hannah Han, Bétyna N. Berice, Maxwell Dodge, R Schneider, Mohsen Abbasi‐Kangevari, Ziyad Al‐Aly, Omar Almidani, Saba Alvand, Jalal Arabloo, Aleksandr Y. Aravkin, Tegegn Mulatu Ayana, Nikha Bhardwaj, Pankaj Bhardwaj, Sonu Bhaskar, Boris Bikbov, Florentino Luciano Caetano dos Santos, Jaykaran Charan, Natália Martins, Omid Dadras, Xiaochen Dai, Lankamo Ena Digesa, Muhammed Elhadi, Mohamed A. Elmonem, Christopher Imokhuede Esezobor, Ali Fatehizadeh, Teferi Gebru Gebremeskel, Motuma Erena Getachew, Seyyed‐Hadi Ghamari, Simon I Hay, Irena Ilić, Milena Ilić, Umesh Jayarajah, Seyed Behzad Jazayeri, Min Seo Kim, Sang-Woong Lee, Shaun Wen Huey Lee, Stephen S Lim, Mansour Adam Mahmoud, Ahmad Azam Malik, Alexios‐Fotios A. Mentis, Tomislav Mestrovic, Irmina Maria Michałek, Gedefaye Nibret Mihretie, Erkin М Мirrakhimov, Ali H. Mokdad, Mohammad Ali Moni, Maryam Moradi, Christopher J L Murray, Alberto Ortíz, Shrikant Pawar, Norberto Perico, Mohammad‐Mahdi Rashidi, Reza Rawassizadeh, Giuseppe Remuzzi, Austin E Schumacher, Ambrish Singh, Valentin Yurievich Skryabin, Anna Aleksandrovna Skryabina, Ker‐Kan Tan, Musliu Adetola Tolani, Sahel Valadan Tahbaz, Rohollah Valizadeh, Bay Vo, Asrat Arja Wolde, Seyed Hossein Yahyazadeh Jabbari, Fereshteh Yazdanpanah, Arzu Yiğit, Vahit Yiğit, Mazyar Zahir, Zhi‐Jiang Zhang, Alimuddin Zumla, M. Ashworth Dirac

Notice bibliographique

RevueEClinicalMedicine · 2024
Typearticle
Langueen
DomaineMedicine
ThématiqueKidney Stones and Urolithiasis Treatments
Établissements canadiensnon disponible
Organismes subventionnairesJapan Society for the Promotion of ScienceCanadian Institutes of Health ResearchHorizon 2020 Framework ProgrammeFresenius Medical Care North AmericaFondazione CariploAstellas PharmaBGI GroupMinistry of Education, Culture, Sports, Science and TechnologyAustralian Academy of ScienceMinistarstvo Prosvete, Nauke i Tehnološkog RazvojaCardiff UniversityNational Institute for Health and Care ResearchNational Cerebral and Cardiovascular CenterSanofiGovernment of CanadaHellenic Foundation for Research and InnovationEuropean CommissionDepartment of Neurology, College of Medicine, Medical University of South CarolinaAmicus TherapeuticsSociedad Madrileña de NefrologíaInternational Society of NephrologyAlexion PharmaceuticalsAstraZenecaIdorsia PharmaceuticalsBill and Melinda Gates FoundationAmgenEuropean Regional Development FundPolitecnico di Milano
Mots-clésMedicineBurden of diseaseDisease burdenDiseaseEnvironmental healthPathology

Résumé

récupéré en direct d'OpenAlex

Background: Urolithiasis is a common urological problem that is associated with high morbidity. A comprehensive assessment of the non-fatal and fatal health trends of urolithiasis by age, sex, and geography over time is necessary to inform policy to control this surgically managed non-communicable disease. Methods: This study was conducted using the standard GBD methodology and analytic tools. Cause-specific mortality rate (CSMR) was estimated using vital registration and verbal autopsy data and the Cause of Death Ensemble model (CODEm) modelling tool. CSMR estimates and incidence data from medical insurance claims and hospital discharges were analysed using a Bayesian meta-regression modelling tool, DisMod-MR 2.1, to estimate age-, sex-, and location-specific incidence of urolithiasis between 2000 and 2021. Disability-adjusted life-years (DALYs) were the sum of years of life lost (YLL) and years lived with disability (YLDs). YLLs due to urolithiasis were calculated by multiplying the estimated number of deaths by the standard life expectancy at the age of death. YLDs were estimated by multiplying the disability weight by the symptomatic proportion of urolithiasis cases. The Global Burden of Diseases study used de-identified data, approved by the University of Washington IRB (Study Number 9060). Findings: There were 106 million (95% UI 88.3-129.0) incident cases of urolithiasis in 2021, of which 67% were in men (71.1 million [59.4-86.2)]). The global number of incident cases, deaths, and DALYs increased by 26.7% (23.8-29.8), 60.3% (41.5-84.7), and 34.5% (24.6-47.3), respectively, between 2000 and 2021. The global age-standardised incidence rate of urolithiasis experienced a significant decrease of 17.5% (14.7-20.0), while the age-standardised DALYs rate saw a reduction of 15.1% (6.8-21.3). Twelve GBD regions showed declining trends in the age-standardised incidence rate of urolithiasis between 2000 and 2021, and the remaining nine GBD regions had an increasing trend of age-standardised rates of urolithiasis. A significant increase in the age-standardised incidence rate of urolithiasis was observed in Central America, Tropical Latin America, and the Caribbean regions, whereas notable decline was observed in east Asia, eastern Europe, central Europe, and high-income North America. It was observed that the global age-standardised death rate was less than 0.5 per 100,000 across all GBD regions and less than 1 per 100,000 across all SDI quintiles, with fairly stable global age-standardised death rates of urolithiasis between 2000 and 2021. The age-standardised incidence rate of urolithiasis was 837 (688-1034) in low SDI regions and 1443 (12,108-1734) in high-middle SDI regions. Furthermore, the age-standardised DALY rate showed a decreasing trend across all SDI quintiles over the same period: high-middle SDI (-28.9% [-34.4 to -23.0]), middle SDI (-22.6% [-30.5 to -10.9]), and low-middle SDI (-2.9% [-15.8 to 12.9]). Interpretation: Global urolithiasis incidence and DALY rates have decreased, while the death rate has stabilised worldwide, showing significant variability among regions, SDI levels, and countries. This could be due to effective preventive measures c on urolithiasis risk factors, effective public health education, lifestyle changes, and early interventions and improved health care access at the global level. This analysis offers relevant insights into global, regional, and country-specific urolithiasis trends. 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)0,013
score de la tête « metaresearch » (Gemma)0,018
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: Méta-analyse
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,037
Score d'incertitude au seuil0,073

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0130,018
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0050,022
Bibliométrie0,0080,012
Études des sciences et des technologies0,0000,001
Communication savante0,0020,001
Science ouverte0,0010,002
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

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 Opus0,031
Tête enseignante GPT0,364
Écart entre enseignants0,334 · 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

Citations76
Publié2024
Routes d'admission1
Résumé présentoui

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