Guideline-based strategies to prevent chronic kidney disease (CKD) progression and complications are available, yet their implementation in clinical practice is uncertain. We aimed to synthesise the available evidence on the concordance of CKD care with clinical guidelines to identify gaps and inform future CKD care.

Systematic review and meta-analysis.

We systematically searched MEDLINE (OVID), EMBASE (OVID) and CINAHL (EBSCOhost) (to 18 July 2025) for observational studies of adults with CKD reporting data on the quality of CKD care. We assessed data on quality indicators of CKD care across domains that related to patient monitoring (glomerular filtration rate and albuminuria), medications use (ACE inhibitors (ACEIs) and angiotensin receptor blockers (ARBs), statins) and treatment targets (blood pressure (BP) and HbA1c). Pooled estimates (95% CI) of the percentage of patients who met the quality indicators for CKD care were estimated using random effects model.

59 studies across 24 countries, including a total of 3 003 641 patients with CKD, were included. Across studies, 81.3% (95% CI: 75% to 87.6%) of patients received eGFR monitoring, 47.4% (95% CI: 40.0% to 54.7%) had albuminuria testing, and 90% (95% CI: 84.3% to 95.9%) had BP measured. ACEIs/ARBs were prescribed among 56.7% (95% CI: 51.5% to 62%), and statins among 56.6% (95% CI: 48.9% to 64.3%) of patients. BP (systolic BP ≤140/90 mm Hg) and HbA1c (

Current evidence shows substantial variation in CKD care quality globally. Guideline-concordant care varied according to quality measures and across patient groups, with gaps in indicators like albuminuria testing. These findings underscore the need for effective quality improvement strategies to address gaps in CKD care, including increased albuminuria testing for risk stratification, together with systematic measures for monitoring care quality.

CRD42023391749.

Glaucoma is a major cause of irreversible blindness in India; however, if detected early, its progression can be either prevented or stabilised through appropriate medical or surgical treatment. We aim to evaluate the cost–utility of various models for population-based glaucoma screening at primary health centres in India. We also assess the potential impact of the implementation of a population-based screening programme on overall costs of care for glaucoma.

Cost–utility analysis using a mathematical model comprising a decision tree and Markov model was conducted to simulate relevant costs and health outcomes over a lifetime horizon.

Screening services were assumed to be delivered at primary health centres in India.

A hypothetical cohort of different target population groups in terms of age groups and risk of glaucoma (age group 40–75 years, 50–75 years, 40–75 years age group at high risk of glaucoma, 50–75 years age group at high risk of glaucoma) were included in comparative screening strategies.

The exclusive intervention scenarios were 12 screening strategies based on different target population groups (age group 40–75 years, 50–75 years, 40–75 years age group at high risk of glaucoma, 50–75 years age group at high risk of glaucoma), screening methods (face-to-face screening and artificial intelligence-supported face-to-face screening) and screening frequencies for 40–75 years aged population (annual vs once every 5 years screening), in comparison to usual care scenario. The usual care scenario (current practice) implied opportunistic diagnosis by the ophthalmologists at higher levels of care.

The primary outcome was the incremental cost–utility ratio for each of the screening strategies in comparison to usual care. The secondary outcomes were per person lifetime costs, lifetime out-of-pocket expenditures, life years and quality-adjusted life-years (QALYs) in all screening scenarios and usual care.

Depending on the type of screening strategy, the gain in QALY per person ranged from 0.006 to 0.046 relative to usual care. However, the screening strategies, whether adjusted for specific age groups, patient risk profiles, screening methods or frequency, were not found to be cost-effective. Nonetheless, annual face-to-face screening strategies for individuals aged 40–75 years could become cost-effective in a scenario of strengthened public financing and provisioning, such that at least 67% of those seeking care for confirmatory diagnosis and treatment use government-funded facilities, in conjunction with 60% availability of medications at government hospitals.

Enhancing continuity of care following screening through either strengthening of public provisioning or strategic purchasing of care could make glaucoma screening interventions not only cost-effective, but also potentially cost-saving.