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CHRONIC KIDNEY DISEASE INCIDENCE AND ITS ASSOCIATED RISK FACTORS IN THE EASTERN MEDITERRANEAN REGION: A SYSTEMATIC REVIEW AND META-ANALYSIS

2025· dissertation· en· W7123379193 sur OpenAlex
ALAA ZUHAIR MASSARWEH

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Notice bibliographique

RevueQatar University QSpace (Qatar University) · 2025
Typedissertation
Langueen
DomaineMedicine
ThématiqueChronic Kidney Disease and Diabetes
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésIncidence (geometry)Kidney diseaseEpidemiologyObservational studySystematic reviewDisease
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

In the last three decades, chronic kidney disease (CKD) has become the leading cause of morbidity and risen to become the world’s third fastest-growing cause of death, posing substantial societal, economic, and healthcare challenges. Yet, the epidemiological profile of new CKD cases in the Eastern Mediterranean Region (EMR) remains scarce, uncharted, and often fragmented across individual country-level studies with discrepancies in data on CKD burden. The factors influencing the natural course of CKD are complex and heterogeneous. However, the global data highlights age, diabetes, and hypertension as prime drivers, but EMR-specific factors are obscured by fragmented surveillance and scarce incidence reporting. This gap delays timely detection, early targeted preventive intervention, and evidence-based solution frameworks in policymaking in a region. Accordingly, the primary aim of this systematic review and meta-analysis is to quantify CKD incidence and synthesize its principal risk factors across EMR populations. Methods and Materials: Adhering to PRISMA 2020 guidelines and its search extension. Five bibliographic electronic databases (MEDLINE, EMBASE, CINAHL, PsycINFO, and EBSCO) were searched without language or date limits. Eligible studies were peer-reviewed observational studies (cohort and case-control) reporting CKD incidence and associated risk factors in any of the 22 EMR countries. Appraised methodological quality using the Newcastle–Ottawa Scale. The analytic approach integrates three main steps: (1) descriptive numeric summary, (2) narrative synthesis, and (3) meta-analysis. Incidence data were standardized to “cases per person-year”. Log-transformed incidence rates were pooled in a single-arm random-effects meta-analysis (REML), with inverse-variance weighting, and re-expressed as cases per 1,000 person-years. Cochran’s Q and I² were used to assess heterogeneity, while publication bias was assessed with funnel plots and Egger’s test (≥ 10 studies). Subgroup/meta-regression explored country-level and methodological moderators; sensitivity analyses (leave-one-out and fixed-effect models) tested robustness. Results: Nineteen EMR studies (total n = 66,494 participants) met inclusion criteria, and eleven of those had sufficient data for single-arm pooling. The overall pooled CKD incidence was 25 per 1,000 person-years (95% CI 19-32), with significant heterogeneity (Q = 1910.6, df = 10, P < 0.001; I² = 99.6 %). Country-specific estimates ranged from 23.1 in Iran to 41.0 in Tunisia per 1,000 person-years. However, meta-regression revealed that country, follow-up length, and sample size explained small variance. Narrative synthesis identified specific drivers of the disease incidence that are interconnected and overlapping, including age, female sex, low educational or marital status, diabetes, hypertension, general or central adiposity, dyslipidemia, high uric acid, and renal pathologies as the most consistently reported risk factors. Lifestyle contributors (tobacco use, high‑salt/processed diets, and inadequate or extreme physical activity) were also prominent, whereas coffee, lignan‑rich foods, and moderate exercise play a protective role. Furthermore, nephrotoxic medications and short endogenous estrogen exposure further elevated CKD risk. Conclusions: The overall pooled estimate rate is 25 incidents per 1,000 person-years. This incidence is comparable to the global average. Yet, certain nations within the region show significantly higher rates. The CKD incidence in the area is mainly driven by overlapping cardiometabolic risk factors (e.g., diabetes, hypertension), sociodemographic shifts, unhealthy lifestyle patterns (e.g., obesity and dietary risks), environmental exposure (e.g., pollution), and iatrogenic-related conditions (herbal medications). Calling for an urgent integrated solution approach combined with specific prevention strategies, such as early identification of high-risk groups, diabetes and hypertension control, emphasis on healthy lifestyle promotion, and constraint on nephrotoxic drug and herbal use. Improving surveillance systems and harmonized diagnostic criteria will be essential for tracking progress towards Sustainable Development Goal targets on non‑communicable diseases.

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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)0,000
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Méta-analyse · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,678
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

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

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 Opus0,029
Tête enseignante GPT0,249
Écart entre enseignants0,220 · 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