ArticleScientific reports2020
Novel risk models to predict acute kidney disease and its outcomes in a Chinese hospitalized population with acute kidney injury.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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
25 citing papers in PubMed, 36 citations in OpenAlex.
- Acute kidney diseases and disorders in children with bloodstream infection: frequency, predictors, and outcomes.Pediatric nephrology (Berlin, Germany) · 2026Article
- Neonatal acute kidney disease in the National Center for Child Health and Development (NCCHD)-neoAKI cohort: risk factors and prognostic outcomes.Pediatric nephrology (Berlin, Germany) · 2026Article
- Advancing mesenchymal stem cell therapy for kidney diseases in companion animals: from mechanisms to clinical application.Frontiers in veterinary science · 2026Review
- Article
- The burden of acute kidney disease: an epidemiological review and importance of follow-up care.Clinical kidney journal · 2025Review
- Risk Factors and Long-Term Outcomes of Acute Kidney Disease in Hematopoietic Stem Cell Transplant-Cohort Study.Cancers · 2025Article
- Outcomes of acute kidney injury continuum in children.Journal of nephrology · 2024Article
- Unveiling the enigma of acute kidney disease: predicting prognosis, exploring interventions, and embracing a multidisciplinary approach.Kidney research and clinical practice · 2024Article
- Machine Learning for Predicting Risk and Prognosis of Acute Kidney Disease in Critically Ill Elderly Patients During Hospitalization: Internet-Based and Interpretable Model Study.Journal of medical Internet research · 2024Article
- The elevation of red blood cell distribution width is an independent prognostic factor for juvenile myelomonocytic leukemia.Blood science (Baltimore, Md.) · 2024Article
- Association of N-terminal pro-B-type natriuretic peptide (NT-proBNP) and acute kidney disease in patients undergoing coronary angiography: a cohort study.International urology and nephrology · 2023Article
- Outcomes associated with acute kidney disease: A systematic review and meta-analysis.EClinicalMedicine · 2023Article
- Risk factors and 180-day mortality of acute kidney disease in critically ill patients: A multi-institutional study.Frontiers in medicine · 2023Article
- Development and deployment of interpretable machine-learning model for predicting in-hospital mortality in elderly patients with acute kidney disease.Renal failure · 2022Article
- Incidence and mortality of acute kidney disease following coronary angiography: a cohort study of 9223 patients.International urology and nephrology · 2022Article
- Risk factors for acute kidney injury after major abdominal surgery in the elderly aged 75 years and above.BMC nephrology · 2022Article
- Early recovery status and outcomes after sepsis-associated acute kidney injury in critically ill patients.Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2022Article
- Predictors of Acute Kidney Disease Severity in Hospitalized Patients with Acute Kidney Injury.Biomedicines · 2022Article
- Severe acute kidney disease is associated with worse kidney outcome among acute kidney injury patients.Scientific reports · 2022Article
- Prediction of Mortality Risk After Ischemic Acute Kidney Injury With a Novel Prognostic Model: A Multivariable Prediction Model Development and Validation Study.Frontiers 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
16 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Acute kidney disease (AKD) is a state between acute kidney injury (AKI) and chronic kidney disease (CKD), but the prognosis of AKD is unclear and there are no risk-prediction tools to identify high-risk patients. 2,556 AKI patients were selected from 277,898 inpatients of three affiliated hospitals of Central South University from January 2015 to December 2015. The primary point was whether AKI patients developed AKD. The endpoint was death or end stage renal disease (ESRD) 90 days after AKI diagnosis. Multivariable Cox regression was used for 90-day mortality and two prediction models were established by using multivariable logistic regression. Our study found that the incidence of AKD was 53.17% (1,359/2,556), while the mortality rate and incidence of ESRD in AKD cohort was 19.13% (260/1,359) and 3.02% (41/1,359), respectively. Furthermore, adjusted hazard ratio of mortality for AKD versus no AKD was 1.980 (95% CI 1.427-2.747). In scoring model 1, age, gender, hepatorenal syndromes, organic kidney diseases, oliguria or anuria, respiratory failure, blood urea nitrogen (BUN) and acute kidney injury stage were independently associated with AKI progression into AKD. In addition, oliguria or anuria, respiratory failure, shock, central nervous system failure, malignancy, RDW-CV ≥ 13.7% were independent risk factors for death or ESRD in AKD patients in scoring model 2 (goodness-of fit, P
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.