SynthesisPharmacological research2020
Acute kidney injury is associated with severe infection and fatality in patients with COVID-19: A systematic review and meta-analysis of 40 studies and 24,527 patients.
Synthesis in Pharmacological research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 6 of them syntheses 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
51 citing papers in PubMed, 6 syntheses or guidelines pooled it, 102 citations in OpenAlex.
- Kidney disease and COVID-19 disease severity-systematic review and meta-analysis.Clinical and experimental medicine · 2022Pooled it
- Incidence, risk factors and outcomes of acute kidney injury among COVID-19 patients: A systematic review of systematic reviews.Frontiers in medicine · 2022Pooled it
- Incidence and Outcomes of Acute Kidney Injury in COVID-19: A Systematic Review.Blood purification · 2022Pooled it
- Risk Factors for Acute Kidney Injury in Adult Patients With COVID-19: A Systematic Review and Meta-Analysis.Frontiers in medicine · 2021Pooled it
- Chronic Kidney Diseases and Acute Kidney Injury in Patients With COVID-19: Evidence From a Meta-Analysis.Frontiers in medicine · 2020Pooled it
- Impact of prior bariatric surgery on risk and severity of COVID-19 infection: A meta-analysis of observational studies.Obesity research & clinical practicePooled it
- Development and validation of an interpretable machine learning model using routine laboratory biomarkers to stratify severe pneumonia risk in young children.Journal of advanced research · 2026Article
- Explainable artificial intelligence for predicting cardiovascular events in hospitalised COVID-19 patients.BMC infectious diseases · 2025Article
- COVID-19 associated acute kidney injury.Infectious diseases & immunity · 2025Review
- Predictive Biomarkers of Acute Kidney Injury in COVID-19: Distinct Inflammatory Pathways in Patients with and Without Pre-Existing Chronic Kidney Disease.Life (Basel, Switzerland) · 2025Article
- Mortality and COVID Infection: Predictors of Mortality 10 Months after Discharge.Diseases (Basel, Switzerland) · 2024Article
- Acute Kidney Injury in the Context of COVID-19: An Analysis in Hospitalized Mexican Patients.Infectious disease reports · 2024Article
- Machine learning models for early prediction of potassium lowering effectiveness and adverse events in patients with hyperkalemia.Scientific reports · 2024Article
- Article
- Clinical Characteristics of Severe COVID-19 Patients During Omicron Epidemic and a Nomogram Model Integrating Cell-Free DNA for Predicting Mortality: A Retrospective Analysis.Infection and drug resistance · 2023Article
- Development and validation of a predicted nomogram for mortality of COVID-19: a multicenter retrospective cohort study of 4,711 cases in multiethnic.Frontiers in medicine · 2023Article
- A prediction model for major adverse cardiovascular events (MACE) in patients with coronavirus disease 2019 (COVID-19).BMC pulmonary medicine · 2022Observational
- Long-short-term memory machine learning of longitudinal clinical data accurately predicts acute kidney injury onset in COVID-19: a two-center study.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2022Article
- Emotional Experiences of COVID-19 Patients in China: A Qualitative Study.International journal of environmental research and public health · 2022Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Currently, coronavirus disease 2019 (COVID-19) is spreading rapidly around the world. This study aimed to investigate whether the presence of acute kidney injury (AKI) might increase the risk of severe infection and fatality in COVID-19 patients. We searched the PubMed, Web of Science, ScienceDirect, MedRxiv and COVID-19 academic research communication platforms for studies reporting severe infection rates and case-fatality rates in COVID-19 patients with and without AKI up to June 20, 2020. The main outcomes were the comparisons of the severe infection rates and fatality rates in COVID-19 patients with and without AKI and the estimation of the odds ratio (OR) and its 95 % confidence interval (CI) for severe infection and mortality. Statistical analyses were performed with R statistical software. A total of 40 studies involving 24,527 patients with COVID-19 were included in our meta-analysis. The incidence of AKI was 10 % (95 % CI 8%-13 %) in COVID-19 patients. The patients had higher severe infection and fatality rates (55.6 % vs. 17.7 % and 63.1 % vs. 12.9 %, respectively, all P < 0.01) with COVID-19. AKI was a predictor of fatality (OR = 14.63, 95 % CI: 9.94-21.51, P < 0.00001) and severe infection (OR = 8.11, 95 % CI: 5.01-13.13, P < 0.00001) in patients with COVID-19. Higher levels of serum creatinine (Scr) and blood urea nitrogen (BUN) were associated with a significant increase in fatality [Scr: mean difference (MD): 20.19 μmol/L, 95 % CI: 14.96-25.42, P < 0.001; BUN: MD: 4.07 mmol/L, 95 % CI: 3.33-4.81, P < 0.001] and severe infection (Scr: MD: 7.78 μmol/L, 95 % CI: 4.43-11.14, P < 0.00001, BUN: MD: 2.12 mmol/L, 95 % CI: 1.74-2.50, P < 0.00001) in COVID-19 patients. In conclusion, AKI is associated with severe infection and higher fatality rates in patients with COVID-19. Clinicians should pay more attention to the monitoring and treatment of COVID-19 patients with AKI.
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.