A Systematic Review and Meta-Analysis of the Risk of Microbial Contamination of Aseptically Prepared Doses in Different Environments
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
PURPOSE: To review microbial contamination rates about preparation of individual and batch doses using aseptic techniques within pharmaceutical (controlled) and clinical (ward and theatre) environments. METHODS: Systematic review, involving amalgamation of data using a random effect model and metaanalysis. RESULTS: A total of 19 studies from 17 reports (7277 doses), mostly single arm studies, were identified for analysis. The overall contamination rates for doses prepared in clinical environments were found to be 5.0% (95% CI; 1.8%, 13.1%, n = 8 studies) for individual doses and 2.0% (95% CI; 0.3%, 13.1%; n = 5) for doses prepared as part of a batch. Rates for doses prepared in pharmaceutical environments were found to be 1.9% (95% CI; 0.8%, 4.2%; n = 5) for individual doses and 0.0% (95% CI; 0.0%, 0.8%; n= 1) for doses prepared as part of a batch. The results indicate greater overall contamination rates of doses prepared in clinical than pharmaceutical environments, in those prepared individually than in batch preparation, and in those in which additions rather than no additions were made. Significant differences were only found between pharmaceutical and clinical environments for batch doses, and between batch and individual doses prepared in a pharmaceutical environment. The studies differed substantially in sample size, interventions and comparison conditions, especially in the clinical setting. The quality of the data was judged to be low. CONCLUSION: Contamination rates in clinical and pharmaceutical environments were commonly found to be unacceptably high. Intuitive recommendations for reducing contamination rates by carrying out the procedures in a pharmaceutical environment using batch doses are supported by an evidence base that needs to be strengthened further.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.007 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it