Corneal wound malapposition after penetrating keratoplasty: an optical coherence tomography study
Bibliographic record
Abstract
Matrix metalloproteinase-1 (MMP1), interleukin-6 (IL-6) and vitamin D receptor (VDR) have been implicated in the biological cascade of events initiated by particulate wear debris and bacterial infection resulting in periprosthetic bone loss around loosened total hip replacements (THR). Individual responses to such stimuli may be dictated by genetic variation and we have studied the effect of single nucleotide polymorphisms (SNPs) within these candidate genes. We performed a case-control study of these genes for possible association with deep sepsis or aseptic loosening. All cases were Caucasian patients with osteoarthritis who had received a cemented Charnley THR and polyethylene acetabular cup. Cases consisted of 91 patients with early aseptic loosening and 71 patients with deep infection. Controls consisted of 150 THAs that were clinically asymptomatic for over 10 years and demonstrated no radiographic features of aseptic loosening. DNA samples from all individuals were genotyped using Taqman allelic discrimination. The C allele (p=0.001; OR=3.27; 95% CI 2.21-4.83) and C/C genotype (p=0.001) for the MMP-1 SNP were highly associated with aseptic failure. No such statistically significant relationships were found aseptic loosening and the MMP-2, MMP-4, IL-6 –174 or VDR-L SNPs. The T allele (p=0.007; OR=1.76; 95% CI 1.16 – 2.66) and T/T genotype (p=0.028) for VDR-T were statistically associated with osteolysis due to deep infection. No such other statistically significant relationship was found. Aseptic loosening and possibly deep infection of THR may be under genetic influence and SNP markers may serve as predictors of implant survival and aid pharmacogenomic prevention of THR failure.
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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 | 0.000 | 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) | 0.001 | 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".