ArticleOncology letters2023
Novel single nucleotide polymorphism biomarkers to predict opioid effects for cancer pain.
Article in Oncology letters, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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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.
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Who cites it
5 citing papers in PubMed.
- Prevalence of fibromyalgia in asthma and its impact on asthma control: a case-control study.Annals of medicine · 2025Article
- HNMT Promotes the Occurrence and Progression of Nasopharyngeal Carcinoma by Inhibiting the IFN/TXNIP/p53 Axis.Current medical science · 2025Article
- Review
- Genome-wide association study on chronic postsurgical pain in the UK Biobank.British journal of anaesthesia · 2025Article
- Dual single‑nucleotide polymorphism biomarker combination for opioid selection to treat cancer pain.Molecular and clinical oncology · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
21 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
There have been few studies on predictive biomarkers that may be useful to select the most suitable opioids to optimize therapeutic efficacy in individual patients with cancer pain. We recently investigated the efficacy of morphine and oxycodone using single nucleotide polymorphisms (SNPs) of the catechol-O-methyltransferase (
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Registered trials
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