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Effect of Renin Angiotensin-System Inhibitors on Reduction of Microalbuminuria in Normotensive Patients with Diabetes: A Systematic Review and Meta-Analysis
Corresponding author: Ranakishor Pelluri, Department of Pharmacy, KL College of Pharmacy, Koneru Lakshmaiah Education Foundation (Deemed to be University), Guntur, 522302, Andhra Pradesh, India. E-mail: ranampharm@gmail.com
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Received: ,
Accepted: ,
How to cite this article: Pelluri R, Mahadevan S, Sridevi B, Kanukula R, Kannan S, Kongara S, et al. Effect of Renin Angiotensin-System Inhibitors on Reduction of Microalbuminuria in Normotensive Patients with Diabetes: A Systematic Review and Meta-Analysis. Indian J Nephrol. doi: 10.25259/IJN_355_2025
Abstract
Background
Evidence for treating moderately increased albuminuria [A2, urinary albumin-creatinine ratio (ACR) 30–299 mg/g] in normotensive patients with diabetes remains unclear. KDIGO supports the use of angiotensin converting enzyme inhibitors/angiotensin II receptor blockers (ACEi/ARBs), whereas ADA recommends against it in this population. We conducted a systematic review evaluating ACEi/ARB therapy in normotensive patients with diabetes with moderately increased albuminuria.
Methods
This systematic review was registered in PROSPERO (CRD42024571295). A comprehensive search was performed across PubMed, Embase, Cochrane, Scopus, and ClinicalTrials.gov. Randomized controlled trials involving normotensive patients with type 1 or type 2 diabetes and moderately increased albuminuria, comparing ACEi/ARB with placebo, were included. The primary outcome was a reduction in albuminuria; the secondary outcome was a change in estimated glomerular filtration rate (eGFR). Weighted mean differences (WMD) with 95% CI were calculated and pooled using a random-effects model.
Results
Thirteen RCTs involving 1374 participants met the inclusion criteria; nine trials used ACEi, and four used ARB. ACEi/ARB therapy significantly reduced albuminuria in both type 1 (-64.78% [95% CI -81.56, -47.99]; I2=73%, p<0.001) and type 2 diabetes (-60.09% [95% CI -80.93, -39.25]; I2=92%, p<0.0001). Four ACEi trials reported progression/regression outcomes. A 75% reduction in risk of progression to macroalbuminuria (A3) was observed (OR 0.25; 95% CI 0.13–0.49; I2=0%, p=0.99).
Conclusion
ACEi/ARB therapy in normotensive patients with diabetes with moderately increased albuminuria reduces albuminuria, suggesting potential renoprotection.
Keywords
Diabetes
Moderately increased albuminuria
Normotensive
Renin angiotensin system
Introduction
Elevated urinary protein excretion may serve as an early clinical indicator of kidney injury in people with diabetes,1,2, which necessitates therapeutic intervention.3 According to the Kidney Disease: Improving Global Outcomes (KDIGO)-2022 guidelines, albuminuria is categorized based on the urine albumin-to-creatinine ratio (UACR) as follows: A1 (normal to mildly increased, <30 mg/g), A2 (moderately increased, 30–299 mg/g; formerly microalbuminuria), and A3 (severely increased, ≥300 mg/g; formerly macroalbuminuria).4 While albuminuria thresholds aid in risk stratification, the risk of diabetic nephropathy (DN) increases progressively with any albumin excretion above 30 mg/g, particularly when levels rise over time.5 Remission of moderately increased albuminuria was linked to shorter duration of the condition, better glycemic control (HbA1c <7%), lower systolic blood pressure (<129 mmHg), and angiotensin converting enzyme inhibitors / angiotensin II receptor blockers (ACEi/ARBs) use. At the 8-year follow-up, remission or a ≥50% reduction in albumin excretion was associated with significantly lower risk of death and hospitalization from kidney and cardiovascular events (adjusted risk 0.41), as well as a slower decline in glomerular filtration rate (GFR).6-8 A slower decline in GFR indicates kidney protection, which is associated with remission of moderately increased albuminuria, especially when achieved through antihypertensive treatment and good glycemic control.9 Only 18% of patients with T2DM and moderately increased albuminuria experienced regression to normal albumin levels, indicating a relatively low rate of improvement.10
So far, there is no evidence that renin–angiotensin–aldosterone system inhibitors or other interventions prevent the onset of diabetic kidney disease in individuals without hypertension or albuminuria. Accordingly, the ADA recommends against the routine use of these medications solely to prevent the development of diabetic kidney disease limiting their use as the preferred first-line therapy for managing BP in individuals with diabetes, hypertension, eGFR < 60 mL/min/1.73 m2, and a UACR ≥300 mg/g.11-14 Although ACEi/ARBs are commonly prescribed for individuals with moderately increased albuminuria (UACR of 30–299 mg/g) even in the absence of hypertension, outcome trials have not been conducted to assess whether these agents improve renal outcomes in this context. The ADA 2024 standards of care cite two long-term double-blinded trials on ACEi and ARBs that demonstrated no renoprotective effect of either drug class in individuals with T1DM or T2DM who were normotensive, with or without moderately increased albuminuria.15-18 Therefore, we decided to pool the data from older trials that enrolled normotensive patients (blood pressure <140/90 mmHg) with moderately increased albuminuria who were treated with either an ACEi or an ARB, to evaluate whether sufficient evidence exists to support the use of these agents in normotensive individuals.
Methodology
The review followed PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-analyses) guidelines.19 The present study was registered with the International Prospective Register of Systematic Reviews, Centre for Reviews and Dissemination (PROSPERO) CRD42024571295.
We conducted comprehensive literature searches in PubMed, the Cochrane Library, Embase, and ClinicalTrials.gov, using the PICOS framework.. The text words for searching included ‘‘normotensive, proteinuria, albuminuria, moderately increased albuminuria, angiotensin receptor-blockers, ARB, angiotensin-converting enzyme inhibitor, ACEi,” and the names of currently available ARB or ACEi (losartan, valsartan, irbesartan, candesartan, telmisartan, eprosartan, olmesartan, imidapril, enalapril, lisinopril, captopril, cilazapril, ramipril, perindopril, and fosinopril).’’ Meanwhile, we also checked the reference lists of review articles, meta-analyses, and original studies to cover more eligible trials. The systematic search was updated through a peer-review process until 28th February 2025. The search was limited to full-text publications in English.
Data extraction was conducted independently by three reviewers (RK.P, M.G, VR.N, and B.S) using a predefined data sheet. Discrepancies in extracted data were discussed and resolved by a fourth reviewer (R.K). The screening process included initial title and abstract review, followed by full-text assessment. Conflicts were addressed through discussion and repetition of screening steps. Each study underwent independent critical appraisal by two reviewers (B.S and M.G), with disagreements resolved by additional reviewers (R.K, S.M, and VR.N). Case reports, basic research, news articles, non-medical papers, letters, comments, conference abstracts, unpublished manuscripts (preprints), and duplicate publications were excluded.
This review included randomized controlled trials (RCTs) of ACEi/ARB in the reduction of moderately increased albuminuria in normotensive patients with diabetes with a comparator of placebo for ≥3 months. The PICOS for our review was as follows: (i) Population- Normotensive patients with diabetes (T1DM/T2DM) (BP: < 140/90 mm of Hg), with moderately increased albuminuria; (ii) Intervention- Use of angiotensin-receptor-blockers (ARB), angiotensin-converting enzyme inhibitor (ACEi), and the names of currently available ARB or ACEi (losartan, valsartan, irbesartan, candesartan, telmisartan, eprosartan, olmesartan, imidapril, enalapril, lisinopril, captopril, cilazapril, ramipril, perindopril, and fosinopril) for > 3 months; (iii) Comparator- Placebo; (iv) Outcomes- Reduction of urinary albumin excretion, urinary protein excretion and proteinuria and improvement of GFR (mL/min/m2); and (v) Study design- randomized controlled trials (RCTs).
RCTs that included ACEI or ARB use in normotensive patients with diabetes (T1DM or T2DM); 18-75-year-old patients with moderately increased albuminuria (UAE 30-299 mg/day) were included. Studies of diabetic hypertensives with renal impairment (eGFR < 30 mL/min/m2) and those not from RCTs, including case reports, case series, animal studies, or quantitative research, were excluded.
The Cochrane Risk of Bias Assessment Tool (RevMan 5.4) was applied to assess each of the 13 included RCTs. The first three researchers independently assessed the literature for quality and subsequently concorded to ensure consistent results. Selection bias, performance bias, detection bias, attrition bias, reporting bias, and other biases, such as design-specific risks of bias, baseline imbalance, blocked randomization in unblinded trials, were assessed with the Cochrane risk of bias tool. Any discrepancies were resolved by discussion with other authors. The overall risk of bias for each study was reported as low, unclear, and high risk.20
Statistical analysis
Analyses were performed using Cochrane Review Manager 5.4. Continuous outcomes were analyzed as weighted mean differences (WMDs) using the Der-Simonian and Laird random-effects model. Heterogeneity was assessed using the I2 statistic (high ≥75%, moderate 50-74%, low 25-49%, none 0%).21 Meta-analysis evaluated the efficacy of ACEIs/ARBs versus placebo in reducing moderately increased albuminuria in normotensive patients with diabetes. Subgroup analysis based on treatment duration was conducted to explore sources of high heterogeneity (I2 ≥75%).
Results
We filtered 1408 studies, of which 13 RCTs22-34 involving 1374 participants were finally selected for the present analysis. Details of the study selection process are shown in Figure 1, and Table 1 provides a summary of the baseline characteristics of the included RCTs. In the RCTs, most of the follow-up time was ≥12 weeks. The mean age of the enrolled patients varied from 24 to 69.4 years.

- PRISMA flow chart outlining literature search.
| Sr. No. | Author | Comparator | N | M/F | Age | SBP mmHg | DBP mmHg | DM type | Urine sample | Duration of DM (Yrs) | HbA1c (%) | Mic. Alb (M±SD/Range) | GFR ml/mim/1.73 m2 | Study duration |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| ACE inhibitors | ||||||||||||||
| 1 | Ahmad et al.22 | Enalapril 10 mg | 37 | 19/18 | 31.39 ±3.2 | 130 ± 3.9 | 80 ±.3.3 | 1 | 24 hr | 10.6 ± 2. 8 | 8.0±0.7 | 87±84.9 | 131 ±15.3 | 5 years |
| Placebo | 36 | 19/17 | 31.79 ± 3.8 | 132 ± 3.6 | 82±3.1 | 10.1 ± 2. 2 | 8.3 ± 0.5 | 93±91.2 | 130 ±15.5 | |||||
| 2 | Ahmad et al.23 | Enalapril 10 mg | 52 | 30/22 | 49.8 ± 3.0 | 132 ± 3.9 | 81 ±3.8 | 2 | 24 hr | 9.2 ± 2.4 | 8 ± 0.6 | 55±33 | 124 ±12.2 | 5 years |
| Placebo | 51 | 30/21 | 50.3 ± 2.1 | 132 ± 3.9 | 82 ±3.2 | 9.3 ± 2.4 | 8.1 ±1.5 | 55±31 | 124 ±14.6 | |||||
| 3 | Bojestiget al.24 | Ramipril 1.25 mg | 19 | 13/6 | 42±10 | 127 ± 12 | 76 ±7.2 | 1 | 24 hr | 28 ± 11 | 7.6 | 109 (25–550) | 100 (63-144) | 2 years |
| Placebo | 18 | 14/4 | 38 ±9 | 124 ±13 | 78 ±7.2 | 21 ± 9 | 7.4 | 103 (49–202) | 108 (49-138) | |||||
| 4 | Bojestig et al.24 | Ramipril 5 mg | 18 | 14/4 | 39 ±10 | 128 ±12 | 75 ±7.9 | 1 | 24 hr | 22 ± 12 | 7.2 | 69 (16–466) | 100 (69-134) | 2 years |
| Placebo | 18 | 14/4 | 38 ±9 | 124 ±13 | 78 ±7.2 | 21 ± 9 | 7.4 | 103 (49–202) | 108 (49-138) | |||||
| 5 | Crepaldi G et al.25 | Lisinopril 2.5 mg | 32 | 21/11 | 38 ± 11 | 126 ±8 | 82 ± 5 | 1 | 24 hr | 19 ± 8 | NR | 54 (20-128) | 113 ±16 | 3 years |
| Placebo | 34 | 23/11 | 37 ± 10 | 129 ±8 | 83 ± 4 | 19 ± 8 | NR | 88 (21-187) | 110 ±15 | |||||
| 6 | Jerums G et al.26 | Perindopril | 13 | 4/9 | 35 ±11.2 | 133± 10.8 | 80 ±7.2 | 1 | 24 hr | 21 ± 14.4 | 8.5 ±10.8 | 66+12.3 | 102 ±6 | 3 years |
| Placebo | 10 | 7/3 | 28± 9.5 | 132 ±12.6 | 77 ±6.3 | 15 ± 3.2 | 9.2 ±1.3 | 66+12.3 | 103 ±8 | |||||
| 7 | Laffel et al.27 | Captopril 50 mg | 70 | 37/33 | 32± 8.1 | NR | NR | 1 | 24 hr | 18.3 ± 6.6 | 7.6 ±1.5 | 62±36 | 80 ±21 | 2 years |
| Placebo | 73 | 33/40 | 33. ±4 9 | NR | NR | 18.3 ± 5.9 | 8 ± 1.3 | 62±41 | 80 ±22 | |||||
| 8 | Ravid et al.28 | Enalapril 10 mg | 49 | 21/28 | 43.5 ± 3 | NR | NR | 2 | 24 hr | 6.5 ± 1.6 | 10.4 ± 2.1 | 143 ± 64 | NR | 5 years |
| Placebo | 45 | 21/24 | 44.8 ± 3.5 | NR | NR | 6.95 ± 1.4 | 10.4 ± 2.6 | 123 ± 58 | NR | |||||
| 9 | Romero et al.29 | Captopril 12.5 mg | 13 | 9/4 | 53.2 ± 7.1 | 132 ± 14 | 75 ± 9 | 2 | 24 hr | 11.3 ± 5.5 | 8.5 ± 2.0 | 93 (70-144) | 124 ±29 | 6 months |
| Placebo | 13 | 7/6 | 52.5 ± 15.1 | 126 ± 19 | 71 ± 11 | 12.8 ± 9.6 | 9.3 ± 2.1 | 81 (55-119) | 117 ±38 | |||||
| 10 | Vongterapak et al.30 | Ramipril 1.25 mg | 16 | 11/5 | 41±10.4 | 134±12 | 79±5 | 2 | 24 hr | NR | 8.0±1.3 | 29.5±23.5 | NR | 3 months |
| Placebo | 12 | 8/4 | 54±14.9 | 130±13 | 80±8 | NR | 8.5±1.7 | 30.6± 38.3 | NR | |||||
| ARBs | ||||||||||||||
| 11 | Agha et al.31 | Losartan 50 mg | 171 | 90/81 | 53.9 ± 11.1 | 134.3 ± 8.6 | 82.3 ± 11.4 | 2 | Spot | - | 7.3 ± 1.3 | 101.9 ± 21.7 | NR | 6 months |
| Placebo | 190 | 54.7 ± 10.9 | 136.2 ± 7.9 | 82.6 ± 10.1 | - | 7.4 ± 1.5 | 104.7 ± 26.3 | NR | ||||||
| 12 | Dragović et al.32 | Valsartan 80 mg | 10 | - | 26.3 ± 5.5 | 122 ± 10.1 | 85.5 ± 7.6 | 1 | 24 hr | 15.3 ± 5.5 | 9.9 ± 2.2 | 64.8 ± 27.1 | 150.1 ±28.3 | 6 months |
| Placebo | 10 | - | 24 ± 5.2 | 112.5 ± 10.3 | 79.5 ± 9.6 | 12.6 ± 5.7 | 10.8 ± 2.2 | 75.9 ± 57.3 | 141.9 ±44.8 | |||||
| 13 | Makino et al.33 | Telmisartan 40 mg | 58 | 46/12 | 61.5 | 131±13.0 | 75±9.5 | 2 | 24 hr | 9.1 ± 8.4 | 7.0±0.9 | 173±50.6 | NR | 52 weeks |
| Placebo | 54 | 44/10 | 59.5 | 128±13.5 | 73±8.6 | 9.6 ± 7.3 | 7.1±0.9 | 164±40.3 | NR | |||||
| 14 | Makino et al.33 | Telmisartan 80 mg | 51 | 37/14 | 61.3 | 133±13.0 | 78±8.9 | 2 | 24 hr | 7.7 ± 7.3 | 7.2±0.7 | 168±48.6 | NR | 52 weeks |
| Placebo | 54 | 44/10 | 59.5 | 128±13.5 | 73±8.6 | 9.6 ± 7.3 | 7.1±0.9 | 164±40.3 | NR | |||||
| 15 | Zandbergen et al.34 | Losartan 50 mg | 74 | 56.9±11.0 | 135.9 ± 10.4 | 138.3 9.7 | 2 | 24 hr | NR | NR | 78.6 51.3 | NR | 15 weeks | |
| Placebo | 73 | 58.5±12.3 | 78.8 ± 9.4 | 80.3 7.5 | NR | NR | 89.4 57.0 | NR | ||||||
ACE: Angiotensin-converting enzyme, ARB: Angiotensin receptor blocker, SBP: Systolic blood pressure, DBP: Diastolic blood pressure, DM: Diabetes mellitus, Mic. Alb: Microalbumin, GFR: Glomerular filtration rate. Data are n, means ± SD (range), or geometric mean (range); NR: Not reported; Mean 95% confidence interval.
Effect on moderately increased albuminuria
ACEIs or ARBs in patients with diabetes
As depicted in Figure 2, 13 RCTs reported the albumin levels, and the forest plot showed a significant reduction of albuminuria with ACE/ARBs (-59.64% [-71.96, -47.32]; I2=91%, p <0.00001) compared to placebo in normotensive diabetics.

- Effect of ACEIs or ARBs in the reduction of moderately increased albuminuria (A2) in diabetics.
ACEIs or ARBs in patients with type-1 diabetes
In T1DM [Figure 3], seven RCTs examined the albumin levels, and the forest plot showed a significant reduction of albuminuria with ACE/ARBs (-64.78% [-81.56, -47.99]; I2=73%, p<0.001) compared to placebo.

- Effect of ACEIs or ARBs in the reduction of moderately increased albuminuria (A2) in T1DM patients.
ACEIs or ARBs in patients with type-2 diabetes
In T2DM [Figure 4], 9 RCTs examined the albumin levels, and the forest plot showed a significant reduction of albuminuria with ACE/ARBs (-60.09% [-80.93, -39.25]; I2=92%, p <0.0001) compared to placebo. Stratified analyses by diabetes type demonstrated a significant reduction in moderately increased albuminuria with ACEi/ARB treatment in both T1DM (MD –64.78, 95% CI –81.56 to –47.99) and T2DM (MD –60.09, 95% CI –80.93 to –39.25). However, the test for subgroup differences was not significant (χ2 = 0.12, p = 0.73) [Figure 5].

- Effect of ACEIs or ARBs in the reduction of moderately increased albuminuria (A2) in T2DM patients.

- Subgroup analysis of the reduction of moderately increased albuminuria (A2) among patients with T2DM and T1DM.
Duration of use of ACEIs or ARBs (< 1year, 1-3 years and > 3 years)
Supplementary Figure 1 shows the reduction of albuminuria based on duration of usage (< 1, 1-3, and > 3 years) of ACEIs/ARBs. The duration of use was significantly associated with a reduction in moderately increased albuminuria (p < 0.05), amounting to -35.3 mg/g, -58.74 mg/g, and -117.61 mg/g, respectively. Furthermore, the subgroup difference was also statistically significant between the three groups (p<0.005). The meta-regression with mean duration was also assessed, and it was established that the efficacy of ACE/ARB therapy in reducing microalbuminuria is positively correlated with treatment duration, with the most pronounced and significantly superior benefit observed in studies evaluating treatment periods >3 years (Supplementary Table 1).
Risk of developing macroalbuminuria (A3)
Out of 13 RCTs, 4 of ACE inhibitors reported that the patients progressed from micro to severely increased albuminuria. The percentage of patients progressing from micro- to severely increased albuminuria was 6.9% in ACE users and 22.5% in the placebo group, respectively. The significant risk reduction was noticed in the ACE group (p<0.0001) (Supplementary Figure 2).
Effect on GFR
The forest plot suggests (Supplementary Figure 3) that treatment with ACEIs/ARBs significantly improves or preserves GFR in patients with diabetes. The pooled analysis shows a mean GFR increase of 4.34 mL/min/1.73 m2 in favor of ACEI/ARB therapy (95% CI: 0.52 to 8.16, p = 0.03). Although modest, this effect is clinically meaningful, supporting the renoprotective role of ACEIs/ARBs in slowing the progression of diabetic kidney disease.
Quality assessment of studies
RoB was generally low across studies, though several exhibited some concerns, particularly in outcome measurement and missing data. (Supplementary Figures 4a and b). Publication bias was analyzed for all studies. The visual inspection of the funnel plot (Supplementary Figure 5) suggests asymmetry; hence, publication bias was evaluated using Egger’s regression test. The results indicated that the asymmetry was not statistically significant (t = –1.77, df = 13, p = 0.0995). The intercept was negative (–4.08, SE = 2.30), suggesting that smaller studies may have reported relatively lower effect sizes; this deviation was not statistically significant. Therefore, it can be inferred that there is no firm evidence of publication bias in the included studies. The observed asymmetry may not be due to publication bias but rather to other factors, such as the high degree of heterogeneity or the influence of one or more outlier studies.
Discussion
This systematic review and meta-analysis provide evidence that ACEi and ARB reduce albuminuria in normotensive patients with diabetes compared to placebo. The pooled analysis of 13 RCTs, which includes both T1DM & T2DM, demonstrated a notable reduction in urinary albumin excretion (WMD: −59.64 mg/g; 95% CI: −71.96 to −47.32 mg/g; p < 0.00001), with consistent benefit across diabetes types. Though the subgroup analyses of our results showed slightly greater reduction in albuminuria among patients with T1DM (−64.78 mg/g) compared to T2DM (−60.09 mg/g), suggesting the potential for broad clinical applicability across diabetes subtypes. The significant heterogeneity observed (I2 > 70%) may reflect differences in treatment duration, baseline renal function, or albuminuria quantification methods across studies. A key strength of this review is the demonstration of a time-dependent effect of ACE/ARB. Patients treated for more than three years experienced a marked reduction in albuminuria (−117.61 mg/g) compared to those treated for shorter durations, indicating that long-term RAS inhibition may confer increasing renal protection over time. This observation is consistent with previous long-term cohort findings, where regression of albuminuria was associated with improved renal outcomes and reduced cardiovascular events.34-36
Moreover, a significant protective effect against progression to severely increased albuminuria (A3) was noted. Only 6.9% of patients in the ACEi group progressed from moderately (A2)- to severely increased albuminuria (A3), compared to 22.5 mg/g in the placebo group (p < 0.0001), reinforcing the importance of early pharmacologic intervention even in normotensive patients. This aligns with prior studies suggesting that albuminuria is an early modifiable marker of diabetic kidney disease and a predictor of renal and cardiovascular morbidity.37 Albuminuria reduction is clinically significant, as it correlates with improved renal and cardiovascular outcomes, reducing the risk of kidney failure and mortality. A large meta-analysis by Coresh et al. (2019) found that every 30% reduction in albuminuria corresponded to a 23% lower risk of kidney failure and 12% lower cardiovascular risk. Thus, the albuminuria reduction seen with ACEi/ARB therapy is clinically relevant, indicating durable renoprotective and cardiovascular benefits.5 Thus, the findings in this meta-analysis are consistent with the KDIGO 2022 recommendations than the ADA, with the latter favoring ACEi/ARB use in this study population.4 However, it is important to note that our analysis targeted a distinct patient subgroup: normotensive diabetics with established moderately increased albuminuria. The beneficial effects observed in our analysis suggest that the presence of albuminuria, rather than elevated blood pressure alone, should guide therapeutic use of RAS inhibitors. In our study, treatment with ACEIs/ARBs significantly improves or preserves (4.34 mL/min/1.73 m2) GFR in patients with diabetes (p = 0.03). The range of GFR in our study is wide, with the included studies showing the hyperfiltration phase of diabetic nephropathy. ACEi/ARBs are generally associated with a reduction in GFR initially. However, with continued usage, these agents are renoprotective and preserve or improve GFR.38,39 This may explain the marginal improvement in GFR and may be a subtle pointer towards the use of these drugs for renoprotection in this subset of patients with diabetes with moderately increased albuminuria. Despite these important insights, several limitations must be acknowledged. High heterogeneity across studies, potentially due to variable baseline characteristics, duration of therapy, and differing diagnostic thresholds for albuminuria, may affect the generalizability of our findings. Additionally, most included RCTs were not powered for hard renal endpoints such as ESKD or mortality, and long-term data remain limited. Furthermore, although publication bias was not evident on funnel plot analysis, the exclusion of non-English and unpublished trials could contribute to selective reporting.
To conclude, in normotensive patients with diabetes and moderately increased albuminuria, ACEi/ARBs significantly reduce albuminuria, an effect that is suggestive of renoprotection and delay in progression. However, more confirmatory trials with hard endpoints are needed.
Author contributions
SM: Conceptualization, writing (critical revision and editing), supervision, project administration; SK: Conceptualization, writing (critical revision and editing), supervision; BN: Conceptualization and supervision; RK.P: Conceptualization, study design and methods development, data analysis and interpretation, writing (original draft), writing (critical revision and editing), project administration; RK: Study design and methods development, Data analysis and interpretation, supervision, project administration; BS, MG, SG, JR: Data acquisition; UV.M: Data analysis and interpretation; US.P, VR.N, VH.N: Writing (original draft), Writing (critical revision and editing).
Conflicts of interest
There are no conflicts of interest.
Use of Artificial Intelligence (AI)-Assisted Technology
The authors declare that no generative AI or AI-assisted tools were used in drafting, editing, or preparing this manuscript.
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