3 results on '"Ainsley Ryan Yan Bin Lee"'
Search Results
2. Booster doses of COVID-19 vaccines for patients with haematological and solid cancer: a systematic review and individual patient data meta-analysis
- Author
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Aaron Shengting Mai, Ainsley Ryan Yan Bin Lee, Ryan Yong Kiat Tay, Lauren Shapiro, Astha Thakkar, Balazs Halmos, Albert Grinshpun, Yair Herishanu, Ohad Benjamini, Tamar Tadmor, Rachna T. Shroff, Bonnie J. LaFleur, Deepta Bhattacharya, Siyu Peng, Jeremy Tey, Soo Chin Lee, Louis Yi Ann Chai, Yu Yang Soon, Raghav Sundar, and Matilda Xinwei Lee
- Subjects
Cancer Research ,COVID-19 Vaccines ,Oncology ,Hematologic Neoplasms ,Neoplasms ,Immunization, Secondary ,COVID-19 ,Humans - Abstract
Patients with cancer have an increased risk of severe disease and mortality from COVID-19, as the disease and antineoplastic therapy cause reduced vaccine immunogenicity. Booster doses have been proposed to enhance protection, and efficacy data are emerging from several studies.To evaluate the proportion of COVID-19 primary vaccination non-responders with cancer who seroconvert after a booster dose.PubMed, EMBASE, CENTRAL and medRxiv were searched from 1st January 2021 to 10th March 2022. Quality was assessed using the Joanna Briggs Institute Critical Appraisal checklist.After the eligibility assessment, 22 studies were included in this systematic review and 17 for meta-analysis of seroconversion in non-responders, pooling a total of 849 patients with haematological cancer and 82 patients with solid cancer. Haematological cancer non-responders exhibited lower seroconversion at 44% (95% CI 36-53%) than solid cancer at 80% (95% CI 69-87%). Individual patient data meta-analysis found the odds of having a meaningful rise in antibody titres to be significantly associated with increased duration between the second and third dose (OR 1.02, 95% CI 1.00-1.03, P ≤ 0.05), age of patient (OR 0.960, 95% CI 0.934-0.987, P ≤ 0.05) and cancer type. With patients with haematological cancer as a reference, patients with lung cancer had 16.8 times the odds of achieving a meaningful increase in antibody titres (OR 16.8, 95% CI 2.95-318, P ≤ 0.05) and gastrointestinal cancer patients had 25.4 times the odds of achieving a meaningful increase in antibody titres (OR 25.4, 95% CI 5.26-492.21, P ≤ 0.05).administration of a COVID-19 vaccine booster dose is effective in improving seroconversion and antibody levels. Patients with haematological cancer consistently demonstrate poorer response to booster vaccines than patients with solid cancer.
- Published
- 2022
3. Lenalidomide Compared to Ixazomib Maintenance in Newly Diagnosed Multiple Myeloma: A Systematic Review and Meta-Analysis
- Author
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Melissa Ooi, Yu Yang Soon, Cinnie Yentia Soekojo, Sanjay de Mel, Eunice Lai, Wee Joo Chng, Ainsley Ryan Yan Bin Lee, and Shi Yin Wong
- Subjects
Oncology ,medicine.medical_specialty ,business.industry ,Immunology ,Cell Biology ,Hematology ,Newly diagnosed ,medicine.disease ,Biochemistry ,Ixazomib ,chemistry.chemical_compound ,chemistry ,Meta-analysis ,Internal medicine ,medicine ,business ,Multiple myeloma ,Lenalidomide ,medicine.drug - Abstract
Background Maintenance therapy is considered a standard of care in transplant eligible (TE) and non transplant eligible (NTE) patients with newly diagnosed multiple myeloma (NDMM). While immunomodulators (IMID) and proteasome inhibitors (PI) have been proposed as maintenance therapy options, there are no randomised trials (RCTs) directly comparing these agents in the maintenance setting. The IMID lenalidomide (Len) and the PI ixazomib (Ixa) have been compared against placebo as maintenance strategies in NDMM. We present a network meta-analysis (NMA) of RCTs comparing the efficacy and safety of Len and Ixa maintenance therapies in NDMM. Methods We searched various biomedical databases for eligible studies evaluating Len or Ixa against placebo/ observation as maintenance therapy in patients with NDMM from date of inception through November 2020. The primary outcome was progression-free survival (PFS). Secondary outcomes include overall survival (OS) and adverse events (AE). The Cochrane risk of bias tool version 2.0 was used to assess trial quality. A Bayesian NMA model was used to assess the relative effects of competing treatments on PFS and OS outcomes. Adverse events were assessed using the synthesis without meta-analysis (SWIM) approach due to variability in the toxicity scoring criteria. The GRADE approach was used to rate the certainty of the evidence. This study is registered with PROSPERO, CRD42021226157. Results We identified eight studies including 3229 transplant eligible (TE) and 1689 non transplant eligible (NTE) patients. All studies were judged to have low risk of bias. Len but not Ixa was associated with statistically significant improvement in PFS when compared to placebo in TE (Len: Hazard Ratio (HR) 0.46, 95% Credible Interval (CrI) 0.35-0.56, high certainty; Ixa: HR 0.72, 95% CrI 0.46-1.13, moderate certainty) and NTE (Len: HR 0.46, 95% CrI 0.29-0.75, high certainty; Ixa: HR 0.69, 95% CrI 0.43-1.18, moderate certainty). Bayesian modelling demonstrated a 97% and 93% probability that Len resulted in superior PFS compared to Ixa in TE and NTE patients respectively. Both Len and Ixa were not associated with statistically significant improvement in OS compared to placebo in TE and NTE patients. There was no significant effect modification on the effect of Len vs placebo and Ixa vs placebo by cytogenetics status, use of proteasome inhibitors for induction or duration of maintenance therapies for PFS and/or OS outcomes. Len were judged to have a higher incidence of second malignancies and grade 3 or 4 neutropenia than Ixa while Ixa was judged to have a higher incidence of thrombocytopenia than Len. Conclusions Maintenance therapy with Len may provide a larger PFS benefit than Ixa regardless of type of induction therapy and cytogenetic risk in patients with NDDM. The differing toxicity profile of these agents is also an important consideration for treatment decisions. RCTs directly comparing these maintenance strategies are warranted. Figure 1 Figure 1. Disclosures Ooi: Jansen: Honoraria; Teva Pharmaceuticals: Honoraria; GSK: Honoraria; Abbvie: Honoraria; Amgen: Honoraria. Chng: Sanofi: Honoraria; Abbvie: Honoraria; Takeda: Honoraria; Amgen: Honoraria; BMS/Celgene: Honoraria, Research Funding; Johnson and Johnson: Honoraria, Research Funding; Pfizer: Honoraria.
- Published
- 2021
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