Bevacizumab and conventional chemotherapy for the treatment of epithelial ovarian cancer: a systematic review of the literature, best evidence synthesis and metanalysis
Bibliographic record
Abstract
Ovarian Cancer (OC) is the eighth most commonly diagnosed cancer amongst Canadian women and has the highest mortality rates, to date. The standard of care for OC is mainly comprised of cytoreduction followed by platinum-based chemotherapy. Although initial response to standard of care is met with favorable outcomes, long term clinical outcomes such as overall and progression free survival show modest improvements. There is an unmet need to further investigate other treatment modalities for OC patients.Bevacizumab (BEV) is an anti-angiogenesis medication approved by the FDA in 2018 as a first-line therapy in OC patients. Bevacizumab may be beneficial alongside other standards of care however, the magnitude of the benefit of Bevacizumab in OC has not been well documented.The objective of this study was to conduct a systematic literature review, best evidence synthesis, and a meta-analysis of randomized controlled trials evaluating progression free survival (PFS), overall survival (OS), objective response rate (ORR), as well as safety and tolerability in OC patients treated with BEV compared to an active control (AC; platinum-based chemotherapy regimen).We anticipated that the addition of BEV compared to conventional chemotherapy regimens alone may improve clinical outcome measures such as PFS, OS, ORR as well safety and tolerability in OC patients.This review was conducted according to PRISMA guidelines. Pubmed, MEDLINE, and EMBASE were searched (via OVID) for studies published after 2018 that evaluated the addition of BEV for the treatment of OC. Articles were selected based on the following: clinical trial, original research, full publication, while abstract, case reports, and posters were excluded. Data available for clinical outcomes, incidence of adverse events, patient characteristics and disease parameters were retained. A total of 7 meta-analyses were performed comparing the PFS (months), OS (months), ORR, Complete Response (CR), Partial Response (PR), incidence of serious adverse events and grade ≥3 AEs between BEV and AC groups. The quality of the evidence was evaluated using the Cochrane Risk of Bias tool for randomized trials (ROB 2). The inverse variance of mean differences, odds ratios (ORs) and their 95% confidence intervals (CI) were calculated using random-effects models.Of the 2869 database results screened, 106 full-text articles were assessed for eligibility and 13 were considered for the qualitative analysis. Out of 2316 patients, 1159 received BEV and 1157 received an AC. Between 5 and 8 articles were included in the meta-analyses evaluating PFS, OS, ORR, CR, PR, SAEs, and grade ≥3 AEs, respectively. Significantly longer mean PFS was observed in the BEV group (n = 1125; 10.7 months) compared to patients treated with an AC (n = 1123; 7.9; mean difference (MD): 2.91; 95% CI: 2.14-3.68, p < 0.00001; I2 = 87%). Significantly longer mean OS was observed in the BEV group (n = 1076; 21.6 months) compared to patients treated with an AC (n = 1075; 17.4; MD: 3.92; 95% CI: 2.11-5.73, p < 0.0001; I2 = 90%). An objective response was reported for 64.2% (274/427) of patients in the BEV group and 39.3% (172/438) of patients in the AC group (OR: 3.29, 95%CI: 2.42-4.45, p < 0.00001, I2 = 0%). Significantly more patients experienced a SAE (59.8% [370/944]) in the BEV group compared to the AC group (31.7% [299/942]; OR: 1.41; 95%CI: 1.16-1.71, p = 0.0005, I2 = 0%). The proportion of patients experiencing grade ≥3 AEs following BEV administration was 49.3% (201/408) compared to the AC group (39.7% [160/403]; OR: 1.68; 95%CI: 0.83-3.37; p = 0.15; I2 = 76%).The results of the study demonstrated that BEV administration resulted in improved clinical outcomes such as longer PFS, OS and greater objective response rates. Safety with respect to incidence of serious adverse events and grade ≥3 adverse events were more common among patients in the BEV group compared to the AC group
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.013 | 0.034 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.015 | 0.022 |
| Bibliometrics | 0.009 | 0.010 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".