SynthesisMedicine2018
The combination of apatinib and S-1 for the treatment of advanced gastric cancer in China: A meta-analysis of randomized controlled trials.
Synthesis in Medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed, 12 citations in OpenAlex.
- Safety and effectiveness of apatinib in elderly patients with metastatic gastric cancer: a sub-analysis from the large-scale, prospective observational study of apatinib for gastric cancer treatment in a real-world clinical setting (AHEAD-G202).Journal of gastrointestinal oncology · 2022Article
- Apatinib plus 5-fluorouracil as a third or subsequent-line treatment option for metastatic colorectal cancer: a phase-II, single-arm, prospective study.Annals of translational medicine · 2022Article
- Article
- Adjuvant apatinib treatment after resection of hepatocellular carcinoma with portal vein tumor thrombosis: a phase II trial.Annals of translational medicine · 2020Article
- Review
- Review
- Apatinib preferentially inhibits PC9 gefitinib-resistant cancer cells by inducing cell cycle arrest and inhibiting VEGFR signaling pathway.Cancer cell international · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundApatinib-targeted therapy is considered a promising treatment option for malignancies. This study systematically evaluated the efficacy and safety of the combination of apatinib and S-1 for the treatment of patients with advanced gastric cancer (GC).
methodsClinical trials were searched from the PubMed, Cochrane Library, Embase, CNKI, and Wanfang databases. Outcome measures including therapeutic efficacy, quality of life (QoL), and adverse events were extracted and evaluated.
resultsData from 8 trials including 393 patients with advanced GC were included. The results indicated that, compared with S-1 alone, the combination of apatinib with S-1 significantly improved patient partial response rate (odds ratio [OR] = 1.91, 95% confidence interval [CI] = 1.21-3.02, P = .005), overall response rate (ORR, OR = 2.40, 95% CI = 1.51-3.82, P = .0002), and disease control rate (DCR, OR = 2.78, 95% CI = 1.51-5.10, P = .0010), whereas the rates of complete response (CR, OR = 2.38, 95% CI = 0.93-6.12, P = .07) and stable disease (SD, OR = 0.99, 95% CI = 0.64-1.54, P = .97) and QoL (OR = 1.22, 95% CI = 0.51-2.92, P = .66) did not differ significantly. Moreover, the group receiving the combined therapy had higher rates of hand-foot syndrome (OR = 2.23, 95% CI = 1.19-4.17, P = .01), hypertension (OR = 8.85, 95% CI = 4.07-19.26, P < .00001), albuminuria (OR = 11.25, 95% CI = 3.32-38.06, P = .0001), and hemoglobin reduction (OR = 3.19, 95% CI = 1.32-7.67, P = .010), whereas analysis of other adverse events did not show significant differences (P > .05).
conclusionThe combination of apatinib and S-1 is more effective for GC treatment than S-1 alone. However, this combined treatment could lead to increased hand-foot syndrome, hypertension, albuminuria, and hemoglobin reduction. Therefore, the benefits and risks should be considered before treatment.
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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.