Are health care providers who work with cancer drugs at an increased risk for toxic events? A systematic review and meta-analysis of the literature
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
OBJECTIVE: A systematic review and meta-analysis was conducted to test the hypothesis that oncology health care workers are at an increased risk of cancer, reproductive complications and acute toxic events. DESIGN: A structured literature search of Index Medicus/ MEDLINE, CINAHL, EMBASE, the Cochrane Database of Systematic Reviews and Healthstar was performed from 1966 to December 2004 for human epidemiological studies evaluating the risk of toxic events in health care workers exposed to cytotoxic drugs. Raw data and adjusted odds ratios (OR) reported in eligible studies were combined using a random effects model to calculate point estimates and 95% confidence intervals (CI) for each potential risk outcome. MAIN OUTCOME MEASURES: Adjusted OR for congenital malformations, stillbirths and spontaneous abortions among health care workers exposure to cytotoxic agents compared to a nonexposed control group. RESULTS: The systematic review identified 14 studies evaluating the outcomes of interest, seven of which were suitable for statistical pooling. Due to lack of evidence, we were unable to estimate a pooled OR for the risk of cancer and acute toxic events. However, no significant association was detected between exposure to cytotoxic drugs and; congenital malformations (OR = 1.64; 95% CI: 0.91-2.94) and stillbirths (OR = 1.16; 95% CI: 0.73-1.82). In contrast, an association was identified between exposure to chemotherapy and spontaneous abortions (OR = 1.46; 95% CI: 1.11-1.92). CONCLUSIONS: The results of this systematic review identified a small incremental risk for spontaneous abortions in female staff working with cytotoxic agents. Health policy decision makers should effectively communicate the magnitude of this risk to their staff and implement cost effective interventions for its reduction or elimination.
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 | 0.009 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.012 | 0.002 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| 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