Potential Therapeutic Application of Intravenous Autologous Bone Marrow Infusion in Patients with Alcoholic Liver Cirrhosis
Bibliographic record
Abstract
The present study was conducted to evaluate the application and efficacy of autologous bone marrow infusion (ABMi) for improvement of liver function in patients with alcoholic liver cirrhosis (ALC). Five subjects and 5 control patients with ALC who had abstained from alcohol intake for 24 weeks before the study were enrolled. Autologous bone marrow cells were washed and injected intravenously, and the changes in serum liver function parameters, and the level of the type IV collagen 7S domain as a marker of fibrosis, were monitored for 24 weeks. The distribution of activated bone marrow was assessed by indium-111-chloride bone marrow scintigraphy. The number of cells infused was 8.0±7.3×10(9) (mean±standard error). The serum levels of albumin and total protein and the prothrombin time were significantly higher during the follow-up period after ABMi than during the observation period in treated patients, whereas no such changes were observed in the controls. In the patients who received ABMi, the Child-Pugh score decreased in all 3 who were classified as class B; the serum levels of type IV collagen 7S domain improved in 4 of the 5 patients; and bone marrow scintigraphy demonstrated an increase of indium-111-chloride uptake in 3 of the 4 patients tested. ABMi for patients with ALC helps improve liver function parameters in comparison with observation during abstinence and ameliorates the degree of fibrosis in terms of serum markers and bone marrow activation in most cases.
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".