ArticleJournal of renal injury prevention2017
Applying data mining techniques to determine important parameters in chronic kidney disease and the relations of these parameters to each other.
Article in Journal of renal injury prevention, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed.
- Ranking patients' non-clinical preferences in referring to specialist physicians in the private sector: a cross-sectional study.BMC health services research · 2025Article
- From designing minimum data set to developing kidney transplantation registry in Iran.Journal of family medicine and primary care · 2023Article
- Machine Learning Models for Predicting the Type and Outcome of Ureteral Stones Treatments.Advanced biomedical research · 2023Article
- Research on Financial Cost Accounting and Control of Small- and Medium-Sized Enterprises under the Background of Data Mining.Computational intelligence and neuroscience · 2022Article
- Diagnosis and Treatment Rules of Chronic Kidney Disease and Nursing Intervention Models of Related Mental Diseases Using Electronic Medical Records and Data Mining.Journal of healthcare engineering · 2021Article
- Implementation of Machine Learning Models for the Prevention of Kidney Diseases (CKD) or Their Derivatives.Computational intelligence and neuroscience · 2021Article
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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
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.