High Dose Total Marrow Irradiation (TMI) Does Not Increase the Risk of Long-Term Toxicity to Myeloablative Fludarabine/Busulfan Conditioning Regimen in Allogeneic Hematopoietic Stem Cell Transplantation (HSCT)
Bibliographic record
Abstract
Review of surgical complications in traditional morbidity and mortality (M&M) rounds remains an important mechanism to identify and discuss quality-of-care issues. This process relies on case selection by providers; therefore, complications identified for review may differ from those captured in comprehensive quality programs such as the American College of Surgeons National Surgical Quality Improvement Program (ACS NSQIP). Additionally, although the ACS NSQIP captures robust data on complications in surgical wards, without strategies to disseminate this information to staff and improve practice, minimal change may result. The objective of this study was to compare complications identified by the ACS NSQIP with those captured in M&M conferences at a large Canadian academic hospital.Retrospective medical record reviews of all patients admitted to the general surgery unit from March 2012 to March 2013 were reviewed. Number and types of complications were recorded for cases that were both submitted and reviewed in M&M rounds and those cases that were submitted but not reviewed. These complications were compared with those extracted from our local ACS NSQIP database.A total of 1348 general surgical procedures were performed. The ACS NSQIP captured complications in 143 patients compared with 58 patients identified for review in M&M rounds. Both the methods identified similar proportions of major and minor complications (ACS NSQIP 52% major, 48% minor; M&M 58% major, 42% minor). More postoperative deaths were entered into the ACS NSQIP (12) than in M&M conferences (8 reviewed and 2 submitted). The ACS NSQIP identified higher proportions of surgical site infections and readmissions. However, M&M conferences captured additional complications in patients who did not undergo surgery and identified potential quality issues in patients who did not ultimately experience an adverse outcome.M&M rounds and the ACS NSQIP provide important and potentially complementary data on surgical quality. Incorporating the ACS NSQIP outcomes data into traditional M&M conferences may help to optimize quality improvement efforts.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".