Bibliographic record
Abstract
The practice at most centers in North America for the investigation and management of non-acute infection after hip replacement has been relatively standard for some time. Diagnosis has depended on a thorough history, physical examination, plain radiographs, straightforward laboratory inflammatory markers, joint aspiration for bacteriologic study, intraoperative frozen section in selected cases, and intraoperative synovial biopsies for confirmatory bacteriologic evaluation. The cornerstone of treatment on this continent has revolved around two-stage revision hip replacement, with increasing popularity for the use of interval articulating antibiotic loaded spacers, and increasing use of cementless fixation at the second stage. But this standard approach has been under increasing scrutiny in recent years, for good reason. The use of more precise “best evidence” paradigms on which to base the diagnosis have been developed. There is encouraging work on the application of more specific synovial and serum markers. The need to remove all implant material in all cases has been challenged. And there is evidence that the two stage approach is associated with greater morbidity, mortality and cost. The latter has led to a re-examination of the role and results of single-stage exchange revision, at least in selected cases, where the patient is immune competent, the soft tissue and bone anatomy is not badly deficient, the organism is known, and the antibiotic sensitivity is favorable. The most encouraging of the recent developments is the increasing consensus that multicenter collaborative study is required if we are to make genuine progress in the one-stage/two-stage debate. At least one multicenter prospective randomised study is scheduled to commence in 2015.
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 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 | 0.010 | 0.026 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.003 | 0.007 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 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".