Global Burden and Trend of Anemia Due to Chronic Kidney Disease in G20 Countries from 1990-2021: A Benchmarking Systematic Analysis
Notice bibliographique
Résumé
Introduction: Anemia due to chronic kidney disease (CKD) poses a significant health challenge, especially within the G20 nations, which represent major global economies. CKD is a major contributor to morbidity and mortality worldwide, accounting for over 1.5 million deaths annually. This study marks the first comprehensive analysis of the burden of anemia due to CKD across G20 countries, spanning the period from 1990 to 2021. It uniquely includes the initial two years of the COVID-19 pandemic, a time when healthcare systems were disrupted, and chronic disease management faced unprecedented challenges. Through this research, we aim to provide crucial insights that could guide policy adjustments and enhance healthcare strategies in these leading economies. Method: Employing the methodology of the Global Burden of Disease study, we estimated the prevalence and years lived with disability (YLDs) attributable to anemia due to CKD across the G20 countries from 1990 to 2021. The findings are detailed in both absolute counts and age-standardized rates (per 100,000 person-years), analyzing variations by age, sex, year, and location. Result: From 1990 to 2021, the total prevalence count of anemia due to CKD in G20 countries increased from 23.4 million (95% uncertainty interval: 21.7-25.4 million) to 43.6 million (40.2-47.2 million), while YLDs rose from 682,987 (457,723-970,504) to 1,129,130 (746,335-1,609,101). The age-standardized prevalence rate (ASPR) saw a total decrease of 14% during this period. The highest annual percentage change (APC) in ASPR was observed in the United States at 0.54%, followed by Bulgaria at 0.36%, and Romania at 0.005%, with the rest of the G20 nations experiencing decreases. In terms of age-standardized YLD rates (ASYLDR), the highest increase was noted in the USA at 0.45%, while other countries observed decreases. Indonesia recorded the highest ASPR at 1,295 (1,145-1,476) cases, followed by India at 1,108.91 (1,019-1,206) cases per 100,000 person-years. India also had the highest ASYLDR at 46.36 (31.64-64.59), whereas Canada reported the lowest at 3.77 cases per 100,000 person-years in 2021. By age group, those over 70 years had the highest prevalence at 24.1 million (21.5-26.8 million), followed by 50-74 years at 18.9 million (16.9-21.3 million), and 20-54 years at 7.6 million (6.9-8.4 million), with under 20 years at 579,600 (507,533-663,437) in 2021. Regarding YLDs, the over 70 age group experienced the highest number at 634,404 (418,602-908,932) in 2021. Gender-wise, females observed a higher increase in burden, with the total percentage change (TPC) in prevalence for males versus females at 86% versus 87%, and YLDs between 50% and 75% from 1990 to 2021. Conclusion: The findings of the study, reveal a nearly doubled prevalence and a significant increase in disability burden, despite a 14% decrease in the age-standardized prevalence rate. The findings highlight geographic and demographic disparities, with the highest increases observed in the United States, Bulgaria, and Romania, and notable burdens among the elderly and females. Public health policies should prioritize enhanced screening, early intervention, and tailored educational initiatives to address the notable demographic and geographic disparities revealed by this study. Clinically, the integration of advanced diagnostics, personalized treatment strategies, and improved patient education on lifestyle and treatment adherence is crucial.
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 enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,005 | 0,011 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,006 |
| Bibliométrie | 0,006 | 0,011 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».