Preventive effect of TAK-751S on complications of hemorrhagic colitis (results of clinical study of TAK-751S).
Bibliographic record
Abstract
BACKGROUND: The effective therapy for hemolytic uremic syndrome and encephalopathy caused by enterohemorrhagic Escherichia coli have not been established. Great attention has been drawn to the results of the clinical study of TAK-751S, performed in Canada. In Japan, a nationwide clinical study of TAK-751S had been performed since 1997 to investigate the preventive effect on the onset of HUS and the safety. METHODS: TAK-751S was administered in daily doses of 500 mg/kg for one week to 128 pediatric patients with colitis who were suspected of enterohemorrhagic Escherichia coli (EHEC) infection. RESULTS: 1. TAK-751S was confirmed to absorb Shiga toxin (Stx) existing inside the human intestine and to excrete Stx out of the body. 2. The incidence of HUS is 5.9% (4/68) and a tendency to inhibit the onset of HUS was observed as compared with the historical control. The complications of central neuropathy such as encephalopathy were observed in 3 of these patients with HUS. 3. Mild "sweating" and "nausea" were observed. There were 13 mild non-specific abnormalities of laboratory test values in 8 patients. CONCLUSIONS: From these results, it was clarified that TAK-751S absorbed and removed free Stx in the intestinal tract of pediatric patients with EHEC infection. The test drug could not inhibit the onset of HUS completely, but since HUS occurred within 48 hours after the start of administration in 3 of the 4 patients with onset of HUS, TAK-751S is a safe drug for pediatric patients with EHEC infection in which the preventive effect on HUS and encephalopathy are expected when it can be given from an early stage of the diseases. Furthermore, these results suggest that importance of rapid diagnosis of HUS.
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 | 0.000 |
| 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 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".