ArticleCanadian journal of kidney health and disease2016
Acute kidney injury in the era of big data: the 15(th) Consensus Conference of the Acute Dialysis Quality Initiative (ADQI).
Article in Canadian journal of kidney health and disease, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 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
24 citing papers in PubMed, 2 syntheses or guidelines pooled it, 41 citations in OpenAlex.
- A Systematic Bibliometric Analysis of High-Impact Articles in Critical Care Nephrology.Blood purification · 2024Pooled it
- Association between e-alert implementation for detection of acute kidney injury and outcomes: a systematic review.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2017Pooled it
- Using health systems evidence to study and predict long-term outcomes of childhood acute kidney injury.Pediatric nephrology (Berlin, Germany) · 2026Article
- Article
- Machine Learning Models for Point-of-Care Diagnostics of Acute Kidney Injury.Diagnostics (Basel, Switzerland) · 2025Article
- Artificial intelligence and predictive models for early detection of acute kidney injury: transforming clinical practice.BMC nephrology · 2024Review
- Regional variation of COVID-19 admissions, acute kidney injury and mortality in England - a national observational study using administrative data.BMC infectious diseases · 2024Observational
- Acute Kidney Failure: Current Challenges and New Perspectives.Journal of clinical medicine · 2023Article
- Artificial Intelligence in Acute Kidney Injury Prediction.Advances in chronic kidney disease · 2022Review
- Acute kidney injury following endovascular intervention for peripheral artery disease.The British journal of surgery · 2021Article
- A Review on the Application and Limitations of Administrative Health Care Data for the Study of Acute Kidney Injury Epidemiology and Outcomes in Children.Frontiers in pediatrics · 2021Review
- Artificial Intelligence in Acute Kidney Injury: From Static to Dynamic Models.Advances in chronic kidney disease · 2021Review
- Changing epidemiology and outcomes of acute kidney injury in Brazilian patients: a retrospective study from a teaching hospital.International urology and nephrology · 2020Observational
- Surgical Repair of Juxtarenal Abdominal Aortic Aneurysms and safety of Suprarenal Aortic Clamping.World journal of surgery · 2020Article
- eResearch in acute kidney injury: a primer for electronic health record research.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2019Review
- The aftermath of acute kidney injury: a narrative review of long-term mortality and renal function.Critical care (London, England) · 2019Review
- Big Data and Pediatric Acute Kidney Injury: The Promise of Electronic Health Record Systems.Frontiers in pediatrics · 2019Review
- Acute kidney injury in the UK: a replication cohort study of the variation across three regional populations.BMJ open · 2018Article
- Epidemiology of AKI: Utilizing Large Databases to Determine the Burden of AKI.Advances in chronic kidney disease · 2017Review
- Big data in oncologic imaging.La Radiologia medica · 2017Article
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 4 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The world is immersed in "big data". Big data has brought about radical innovations in the methods used to capture, transfer, store and analyze the vast quantities of data generated every minute of every day. At the same time; however, it has also become far easier and relatively inexpensive to do so. Rapidly transforming, integrating and applying this large volume and variety of data are what underlie the future of big data. The application of big data and predictive analytics in healthcare holds great promise to drive innovation, reduce cost and improve patient outcomes, health services operations and value. Acute kidney injury (AKI) may be an ideal syndrome from which various dimensions and applications built within the context of big data may influence the structure of services delivery, care processes and outcomes for patients. The use of innovative forms of "information technology" was originally identified by the Acute Dialysis Quality Initiative (ADQI) in 2002 as a core concept in need of attention to improve the care and outcomes for patients with AKI. For this 15(th) ADQI consensus meeting held on September 6-8, 2015 in Banff, Canada, five topics focused on AKI and acute renal replacement therapy were developed where extensive applications for use of big data were recognized and/or foreseen. In this series of articles in the Canadian Journal of Kidney Health and Disease, we describe the output from these discussions.
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.