RETRACTED: Evaluation of bevacizumab biosimilar on wound healing complications in patients with colorectal cancer undergoing endoscopic mucosal resection: A systematic review and meta‐analysis in anorectal medicine
Post-publication record
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Bibliographic record
Abstract
Complications related to wound healing pose substantial obstacle in the management of colorectal cancer (CRC), specifically in the field of anorectal medicine. Biosimilars of bevacizumab have emerged as crucial therapeutic agents in the management of these complications. With the particular emphasis on effects of Bevacizumab Biosimilar Plus on wound healing among patients diagnosed with CRC, this review underscores the potential of this anorectal medication to improve patient outcomes and was aimed to assess the safety and efficacy of Bevacizumab Biosimilar Plus in relation to complications associated with wound healing in patients with CRC. The assessment centers on its therapeutic potential and safety profile within the domain of anorectal medicine. In accordance with the PRISMA guidelines, a comprehensive literature search was performed, resulting in the identification of 19 pertinent studies out of an initial 918. Priority was given to assessing the safety and adverse effects of Bevacizumab Biosimilar Plus in conjunction with its effectiveness in wound healing. The extracted data comprised the following: study design, patient demographics, comprehensive treatment regimens, wound healing-specific outcomes and adverse effects. The evaluation of study quality was conducted utilizing the instruments provided by the Cochrane Collaboration and the Newcastle-Ottawa Scale (NOS). Bevacizumab Biosimilar Plus demonstrates efficacy in the management of wound healing complications among patients with CRC, with a safety and efficacy profile similar to that of the original Bevacizumab, according to the analysis. Notably, several studies reported improved rates of wound healing in relation to the biosimilar. The safety profiles exhibited similarities to the anticipated anti-VEGF agent effects. In wound management, the biosimilar also demonstrated advantages in terms of prolonged efficacy. In addition, analyses of cost-effectiveness suggested that the use of biosimilars could result in cost reductions. Bevacizumab Biosimilar Plus exhibited potential as an anorectal medication for the effective management of wound healing complications in patients with CRC. This has substantial ramifications for improving the quality of patient care, encompassing the affordability and effectiveness of treatments.
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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 | 0.026 | 0.088 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.008 | 0.013 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.016 | 0.001 |
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".