Increased Production of Tumor Necrosis Factor Activity by Hemodialysis but Not Peritoneal Dialysis Patients
Bibliographic record
Abstract
The production of tumor necrosis factor alpha (TNF alpha) activity by peripheral blood mononuclear cells (PBMC) was determined in uremic patients on chronic hemodialysis (HD; n = 27), continuous ambulatory peritoneal dialysis (CAPD; n = 19), and in patients with chronic renal failure who were not yet on dialysis (CRF-ND; n = 18). In the HD group blood was taken immediately prior to and immediately following an HD session utilizing a cellulose acetate dialyzer. Post-HD PBMC spontaneously (i.e. in serum free media) produced significantly more TNF alpha activity than the PBMC of all other patient groups as well as those of the normal controls (n = 41) (p < 0.003). Post-HD PBMC produced significantly more TNF alpha activity than pre-HD PBMC both spontaneously and in the presence of nonuremic sera (p < 0.003). PBMC prior to HD also produced significantly more. TNF alpha activity than CAPD PBMC and normal PBMC in the presence of autologous heat inactivated sera (p < 0.03). Under some culture conditions (i.e. in the presence of nonuremic sera) normal PBMC produced significantly (p < 0.003) more TNF alpha activity than CAPD PBMC. Finally, a positive correlation was found between PBMC TNF alpha activity and age for HD patients (r = 0.7, p < 0.004) but not for CAPD or CRF-ND patients. These findings suggest that PBMC of HD but not CAPD or CRF-ND patients are chronically stimulated to produce TNF alpha activity.(ABSTRACT TRUNCATED AT 250 WORDS)
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 | 0.000 | 0.001 |
| 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 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".