Histological analysis of fetal dopamine cell suspension grafts in two patients with Parkinson's disease gives promising results
Bibliographic record
Abstract
In this issue of Brain (pages 1498–1510), Mendez and collaborators report the postmortem analysis of brains from two patients with Parkinson's disease who had received grafts of brain tissue dissected from the developing ventral mesencephalic region, obtained from 6- to 9-week-old aborted fetuses, which is known to contain the appropriate type of dopamine neurones lost in these patients as a result of their disease. The most important aspect of this report is the fact that this is the first time we have been able to evaluate the outcome of so-called cell suspension grafts, a more refined cell preparation technique than has been used in the previously reported autopsy cases. Since 1987, when the first clinical neural transplantation trials were initiated, some 350 Parkinson's disease patients have received intrastriatal grafts of human fetal mesencephalic tissue (Lindvall and Bjorklund, 2004; Winkler et al ., 2005). However, there has so far been no attempt to standardize the way in which the transplantation is carried out at different centres. Almost all aspects of tissue handling and storage, and of graft preparation, have differed from one centre to another (Winkler et al ., 2005). In several open-label trials, such as those performed in Lund, Paris and Halifax, grafts prepared as cell suspensions have been used, whereas other centres …
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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) | 0.001 | 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 | 0.001 |
| 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".