ReviewBioMed research international2015
Kidney Injury Molecule-1 and Cardiovascular Diseases: From Basic Science to Clinical Practice.
Review in BioMed research international, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
31 citing papers in PubMed, 1 synthesis or guideline pooled it, 54 citations in OpenAlex.
- The value of kidney injury molecule 1 in predicting acute kidney injury in adult patients: a systematic review and Bayesian meta-analysis.Journal of translational medicine · 2021Pooled it
- Combined Apocynin and Novokinin Treatment Attenuates Renal Damage and Reduces KIM-1 Expression in a Model of Ischemic AKI.International journal of molecular sciences · 2026Article
- Redox-Driven Precision Medicine for Life-Course Prevention of Cardiovascular-Kidney-Metabolic Syndrome.Antioxidants (Basel, Switzerland) · 2026Review
- Cardiac surgery-associated acute kidney injury.BJA education · 2026Review
- Enhancing therapeutic strategies and drug development for patients with kidney disease.Expert opinion on drug safety · 2026Review
- Recent advancements in patented technologies for the diagnosis and treatment of chronic kidney disease.International urology and nephrology · 2025Review
- Proteomic Assessment of the Risk of Secondary Cardiovascular Events among Individuals with CKD.Journal of the American Society of Nephrology : JASN · 2025Article
- Plasma proteome and incident myocardial infarction: sex-specific differences.European heart journal · 2024Article
- Cardiac and Renal Fibrosis, the Silent Killer in the Cardiovascular Continuum: An Up-to-Date.Journal of cardiovascular development and disease · 2024Review
- From Acute to Chronic: Unraveling the Pathophysiological Mechanisms of the Progression from Acute Kidney Injury to Acute Kidney Disease to Chronic Kidney Disease.International journal of molecular sciences · 2024Review
- Cardiorenal Syndrome: Challenges in Everyday Clinical Practice and Key Points towards a Better Management.Journal of clinical medicine · 2023Review
- Effects of Mineralocorticoid Receptor Blockade and Statins on Kidney Injury Marker 1 (KIM-1) in Female Rats Receiving L-NAME and Angiotensin II.International journal of molecular sciences · 2023Article
- Optimal treatment for post-MI heart failure in rats: dapagliflozin first, adding sacubitril-valsartan 2 weeks later.Frontiers in cardiovascular medicine · 2023Article
- A comprehensive review of acute cardio-renal syndrome: need for novel biomarkers.Frontiers in pharmacology · 2023Review
- Proficient Novel Biomarkers Guide Early Detection of Acute Kidney Injury: A Review.Diseases (Basel, Switzerland) · 2022Review
- Cardiovascular Risks of Hypertension: Lessons from Children with Chronic Kidney Disease.Children (Basel, Switzerland) · 2022Review
- Establishment of a time-resolved immunoassay for acute kidney injury based on the detection of Kim-1.Journal of clinical laboratory analysis · 2022Article
- Current Knowledge of Selected Cardiovascular Biomarkers in Pediatrics: Kidney Injury Molecule-1, Salusin-α and -β, Uromodulin, and Adropin.Children (Basel, Switzerland) · 2022Review
- The Most Promising Biomarkers of Allogeneic Kidney Transplant Rejection.Journal of immunology research · 2022Review
- A Novel Radiomics-Based Machine Learning Framework for Prediction of Acute Kidney Injury-Related Delirium in Patients Who Underwent Cardiovascular Surgery.Computational and mathematical methods in medicine · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Despite the recent findings concerning pathogenesis and novel therapeutic strategies, cardiovascular disease (CVD) still stays the leading cause of morbidity and mortality in patients with renal dysfunction, especially acute kidney injury (AKI). Early detection of patients with impaired renal function with cardiovascular risk may help ensure more aggressive treatment and improve clinical outcome. Kidney injury molecule-1 (KIM-1) is a new, promising marker of kidney damage which is currently the focus of countless studies worldwide. Some recent animal and human studies established KIM-1 as an important marker of acute tubular necrosis (ATN) and reliable predictor of development and prognosis of AKI. Food and Drug Administration (FDA) in USA acclaimed KIM-1 as an AKI biomarker for preclinical drug development. Recent data suggest the importance of monitoring of KIM-1 for early diagnosis and clinical course not only in patients with various forms of AKI and other renal diseases but also in patients with cardiorenal syndrome, heart failure, cardiopulmonary bypass, cardiothoracic surgical interventions in the pediatric emergency setting, and so forth. The aim of this review article is to summarize the literature data concerning KIM-1 as a potential novel marker in the early diagnosis and prediction of clinical outcome of certain cardiovascular diseases.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.