Bibliographic record
Abstract
There has been ongoing debate for many years on the relative merits of routine tourniquet use while performing a total knee replacement. Interestingly there have been many retrospective reviews and opinion articles on the topic, but little in the way of well powered prospective randomised clinical trials. Those that dislike the premise of routine tourniquet use usually cite a list of either very rare complications, or theoretical concerns (nerve damage, muscle function, wound healing issues). Like most debate topics, however, the issue is usually a shade of grey, rather than black and white, if the pro/con arguments are evaluated individually. 1. Blood Loss There can be little debate that intra-operative blood loss is less with the use of a tourniquet. This has been demonstrated in multiple studies and is clearly intuitively obvious. Interestingly the overall blood loss (intra-op + post-op) may, however, be the same regardless of tourniquet use. Having a dry operative field, however, is important in achieving adequate cement fixation, and if tourniquet use is not employed, an alternative should be. 2. OR time There is an overwhelming body of literature that supports the understanding that increased OR time directly correlates to increased infection rates in total joint arthroplasty. Proponents of not using a tourniquet will often have alternates to achieving a dry operative field that clearly add time to the procedure – meticulous hemostasis, air delivery systems, etc. This increased OR time may come at the cost of increased infection risk. There is clearly a need for well-designed randomised clinical trials evaluating the practice of routine tourniquet use in TKA. Any trial done, however, must look critically at factors such as OR time, costs of alternatives, and potential long-term outcome effects.
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.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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) | 0.001 | 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".