SynthesisMedicine2019
Incidence and risk of fatigue in cancer patients treated with MET inhibitors: A systematic review and meta-analysis.
Synthesis in Medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Methods for assessing inverse publication bias of adverse events.Contemporary clinical trials · 2024Article
- MicroRNA-153-3p sensitizes melanoma cells to dacarbazine by suppressing ATG5-mediated autophagy and apoptosis.Translational cancer research · 2020Article
- Combination of aloin and metformin enhances the antitumor effect by inhibiting the growth and invasion and inducing apoptosis and autophagy in hepatocellular carcinoma through PI3K/AKT/mTOR pathway.Cancer medicine · 2020Article
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Authors and funding
3 authors.
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Abstract
backgroundThe N-methyl-N'-nitroso-guanidine human osteosarcoma transforming gene (MET) inhibitors show a surprising survival benefit in the treatment of numerous tumors especially in MET-high tumor. Besides their impressive efficacy, fatigue reduced by MET inhibitors is still the safety issue during treatment. Thus, an understanding of this risk in the context of expanding MET-inhibitors use is an important cost and patient safety issue.
methodsWe searched PubMed, Embase, and the Cochrane Library databases for relevant studies up to October 2017. Eligibility criteria included phase II/III trials of MET inhibitors that reported adequate safety profiles of fatigue. The principal summary measures were incidence and relative risk (RR) of all-grade (grade 1-4) and high-grade (grade 3-4) fatigue, respectively. Random-effects model was applied to consider within-study and between-study variation.
resultsA total of 5028 patients from 17 clinical trials were identified. The results revealed that the incidences of MET inhibitors-associated all-grade and high-grade fatigue were 41.9% and 9.6%, respectively. The RR of high-grade fatigue was (RR = 1.37; 95% confidence interval, 1.14-1.66; P = .0009), whereas the RR of all-grade fatigue was (RR = 1.02; 95% confidence interval, 0.91-1.15; P = .71).
conclusionOur meta-analysis has demonstrated that MET inhibitors-based treatment is associated with an increased risk of high-grade fatigue compared with control.
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