Hemorheological follow‐up after splenectomy and spleen autotransplantation in mice
Bibliographic record
Abstract
We previously reported on a spleen autotransplantation model in mice, with spleen function studies at 6 weeks. The present study was undertaken to investigate long-term hemorheological functions. A/J and BALB/c inbred mice were divided into four groups: control, sham surgery (SH), splenectomy (SE), and spleen autotransplantation (AU). Hematological and hemorheological parameters were determined. Leukocyte counts in the SE and AU groups were significantly higher than in controls, while hematocrit levels were markedly lower. Mean erythrocyte volume did not change significantly. Platelet counts in the AU group were significantly lower, and red blood cell deformability was significantly worse in the SE group. The AU group also had increased cell transit time, but it was less than that in the SE group. The SE group showed the highest fibrinogen levels. We conclude that there are some consistent differences in hematological parameters between splenectomy and spleen autotransplantation. These data suggest that spleen autotransplantation may partially restore hemorheological functions following splenectomy.
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 | 0.001 | 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) | 0.001 | 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".