Evidence map›Paper›PMID 42201768›Full record

SynthesisJournal of the American Society of Nephrology : JASN2026

Remote Ischemic Preconditioning for Prevention of Contrast-Associated Acute Kidney Injury following Coronary Angiography or Percutaneous Coronary Intervention.

Indu Ramachandra Rao, Ganesh Paramasivam, Shravana Acharya, Sunil Ravindranath, Vishal Shanbhag, Mahidhar Jeedigunta, Attur Ravindra Prabhu

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Journal of the American Society of Nephrology : JASN, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Indu Ramachandra RaoDepartment of Nephrology, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, India.ORCID 0000-0001-5061-739
Ganesh ParamasivamDepartment of Cardiology, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, India.ORCID 0000-0002-4332-3665
Shravana AcharyaDepartment of Nephrology, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, India.ORCID 0009-0007-6765-9191
Sunil RavindranathDepartment of Critical Care Medicine, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, India.ORCID 0000-0003-4022-1492
Vishal ShanbhagDepartment of Critical Care Medicine, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, India.ORCID 0000-0001-5255-6148
Mahidhar JeediguntaDepartment of Cardiology, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, India.ORCID 0009-0008-6340-3401
Attur Ravindra PrabhuDepartment of Nephrology, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, India.ORCID 0000-0002-5980-7197

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

key pointsRemote ischemic preconditioning reduced the risk of contrast-associated AKI in patients undergoing coronary angiography or percutaneous coronary intervention. The benefits of remote ischemic preconditioning were consistent across coronary angiography, percutaneous coronary intervention, diabetes, and CKD subgroups. Remote ischemic preconditioning probably reduced in-hospital major adverse cardiovascular events, although there was no significant impact on 30-day kidney and cardiac outcomes.

backgroundRemote ischemic preconditioning may prevent contrast-associated AKI and have cardioprotective effects in patients undergoing coronary angiographic procedures; however, results have been inconsistent. The aim of this systematic review and meta-analysis was to evaluate whether remote ischemic preconditioning lowers the risk of contrast-associated AKI and improves short-term kidney and cardiac outcomes in patients undergoing coronary angiography or percutaneous coronary intervention (PCI).

methodsWe performed a comprehensive literature search using PubMed, Embase, and the Cochrane Central Register of Controlled Trials from inception through December 6, 2025. Randomized controlled trials (RCTs) comparing remote ischemic preconditioning with either sham remote ischemic preconditioning or usual care for kidney and/or cardiac outcomes in patients undergoing coronary angiography or PCI were included. Two independent reviewers screened studies, extracted data, and assessed risk of bias using the Cochrane Risk of Bias 2.0 tool. Outcomes studied were contrast-associated AKI, need for dialysis, in-hospital mortality, in-hospital major adverse cardiovascular events (MACE), 30-day mortality, 30-day MACE, and major adverse kidney events at 30 days. Data were pooled using a random-effects model and expressed as risk ratios (RR) with 95% confidence intervals (CI). Certainty of evidence was assessed using the Grading of Recommendations Assessment, Development, and Evaluation approach.

resultsOf the 5532 records identified, 36 RCTs encompassing 10,923 patients were included in this systematic review. Compared with sham remote ischemic preconditioning or usual care, remote ischemic preconditioning significantly reduced contrast-associated AKI (RR, 0.54; 95% CI, 0.45 to 0.65; 30 RCTs, 5078 participants; high-certainty evidence). Remote ischemic preconditioning probably reduced in-hospital MACE (RR, 0.51; 95% CI, 0.26 to 0.98; four RCTs, 1266 participants; moderate-certainty evidence). There were no differences in the need for dialysis, in-hospital mortality, 30-day mortality, and 30-day MACE.

conclusionsRemote ischemic preconditioning reduced the risk of contrast-associated AKI and in-hospital MACE in patients undergoing coronary angiography or PCI.

Indexed as

Acute Kidney InjuryContrast MediaCoronary AngiographyIschemic PreconditioningPercutaneous Coronary InterventionHumansContrast MediaAKIcardiorenal syndromecardiovascular diseasecardiovascular-kidney-metabolic (CKM) syndromehypertension and cardiorenal disorders

Identifiers

PMID42201768
PMCPMC13742987

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.