ArticleJournal of healthcare engineering2022
Study on the Mechanism of Fentanyl in Pain Treatment Based on Network Pharmacology.
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 It has been retracted, and should not be counted.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 3 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
3 citing papers in PubMed, 3 citations in OpenAlex.
- Network pharmacology -based study on the mechanism of traditional Chinese medicine in the treatment of glioblastoma multiforme.BMC complementary medicine and therapies · 2023Article
- Discovery, Validation, and Target Prediction of Antibacterial and Antidiabetic Components ofMolecules (Basel, Switzerland) · 2023Article
- Retracted: Study on the Mechanism of Fentanyl in Pain Treatment Based on Network Pharmacology.Journal of healthcare engineering · 2023Article
Corrections and comments
- Retraction · 2023-11-29Compromised Peer Review · Investigation by Journal/Publisher · Investigation by Third Party · Paper Mill · Unreliable Results and/or Conclusions ·
- Retracted
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This is a study that is based on network pharmacology, focusing on the pharmacological mechanism of fentanyl in easing pain. Through PPI, GO, and KEGG network pharmacology, the potential pharmacological mechanism of fentanyl was studied. This study compared and analyzed the overlap between the target genes of the active ingredient of fentanyl and the pain treatment target genes. After constructing PPI based on fentanyl, the GO and KEDD pathways were analyzed for enrichment. On the basis of overlapping genes, we constructed the PPI, GO, and KEGG, and analysis showed that the mechanism was likely to be related to some biological process. This study preliminarily identified the important proteins and metabolic pathways related to fentanyl in pain treatment and expected to provide new evidence and research ideas for the use of fentanyl, enhancing effects and alleviating adverse drug reactions.
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.