Bibliographic record
Abstract
The OKT series of anti-T-cell monoclonals has been used on 442 occasions in 41 renal allograft recipients in a 6-12 month follow-up study. Standard immunosuppressive therapy (including antithymocyte globulin in 26 patients) tended to decrease the helper-inducer/suppressor-cytotoxic cell ratio (OKT4/OKT8). Conversely, 71% of 35 renal failure episodes were associated with increased OKT4/OKT8 ratios. Twenty-three percent of renal failure episodes were associated with dramatically decreased OKT4/OKT8 ratios. At least half of these cases could be explained by a cytomegalovirus infection. In fact, similar infections were found in 6 out of 17 patients with low OKT4/OKT8 values in the absence of renal failure. These results prompt us to use anti-T cell monoclonals for the diagnosis of rejection because only nine episodes of transient increase in the OKT4/OKT8 ratio were observed in the absence of rejection. The interest of this new method for the immunological follow-up of transplanted patients is, however, limited by the difficulty in interpreting a significant percentage of tests because of (1) the presence of doubly labeled cells (OKT4+OKT8+) or the significant discrepancy between the number of OKT3+ cells and total cells labeled with OKT4 and/or OKT8 antibodies; (2) gross lymphocytopenia--most often observed in patients receiving antithymocyte globulins plus steroids; and (3) the clinically unexplained shifts in the T cell subset ratios mentioned above.
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 | 0.001 | 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 | 0.001 | 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".