Granulocyte colony stimulating factor: A potential therapeutic rescue in severe alcoholic hepatitis and decompensated cirrhosis
Bibliographic record
Abstract
Liver cirrhosis accounts for over 2 million deaths annually worldwide. A subset of these patients - those with alcoholic hepatitis and decompensated cirrhosis, have abysmal short-term survival. Liver transplant is the only intervention of proven survival benefit; however organ availability is a major limitation. It is thus imperative to assess potential benefit of experimental therapies as a bridge to transplant. Stem cell therapies have shown some promise in patients with end-stage liver disease. Of these, bone-marrow derived hematopoietic stem cells have generated the most interest. Animal as well as human data suggest biological plausibility of stem cell translocation from bone marrow to liver, giving credence to cytokine therapies based on bone marrow stimulation. Granulocyte colony stimulating factor has been the most frequently used cytokine for this purpose. This intervention has shown encouraging results in terms of safety as well as survival benefits in small clinical trials. The evidence, however, is sparse and heterogeneous. In this review we describe the biological plausibility, mechanisms of action, and clinical evidence of the use of cytokine based stem cell therapy in patients with end-stage liver disease.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".