ArticleJournal of healthcare engineering2022
Knowledge-Based Discovery of the Role and Mechanism of Resveratrol in Improving Glomerular Tether Cell Proliferation and Apoptosis in Diabetic Nephropathy.
Article in Journal of healthcare engineering, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 1 paper.
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
1 citing paper in PubMed, 1 citations in OpenAlex.
- Retracted: Knowledge-Based Discovery of the Role and Mechanism of Resveratrol in Improving Glomerular Tether Cell Proliferation and Apoptosis in Diabetic Nephropathy.Journal of healthcare engineering · 2023Article
Corrections and comments
- Retraction · 2023-10-11Concerns/Issues about Data · Concerns/Issues about Results and/or Conclusions · Concerns/Issues about Referencing/Attributions · Concerns/Issues about Peer Review · Informed/Patient Consent - None/Withdrawn · Investigation by Journal/Publisher · Investigation by Third Party · Lack of IRB/IACUC Approval and/or Compliance · Paper Mill · Computer-Aided Content or Computer-Generated Content · Unreliable Results and/or Conclusions · · See also: https://pubpeer.com/publications/5C2097460B2442353F38779DA25C8F
- Retracted
Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
To investigate the effects and mechanisms of resveratrol on glucolipid metabolism in diabetic humans. In this paper, we introduced the knowledge discovery theory into the data processing of the factors related to the pathogenesis of type 2 diabetes for the first time, and identified valid, potentially useful, and understandable pathogenesis patterns from a large amount of measured data. A data mining C4.5 algorithm was used to classify 17072 validated cross-sectional health survey data from the whole population according to the characteristics of type
Indexed as
Identifiers
What Socratic 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 Socratic graph.