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Current status of autologous bone marrow cell infusion therapy for liver cirrhosis patients

2008· article· en· W1966399665 on OpenAlexfundno aff
Shuji Terai, Isao Sakaida

Bibliographic record

VenueHepatology Research · 2008
Typearticle
Languageen
FieldMedicine
TopicLiver physiology and pathology
Canadian institutionsnot available
FundersJapan Society for the Promotion of ScienceAlberta Biodiversity Monitoring Institute
KeywordsCirrhosisMedicineBone marrowInternal medicineGastroenterology

Abstract

fetched live from OpenAlex

This article reviews recent translational research on the development of cell therapy using autologous bone marrow cell for liver cirrhosis patients. A clinical study of autologous bone marrow cell infusion (ABMI) therapy for liver cirrhosis patient was begun on Nov. 14, 2003. We previously reported nine liver cirrhosis (LC) cases that underwent ABMI from the peripheral vein and followed their progress up to 24 weeks. Subjects were LC patients with total bilirubin TB of < 3.0 mg/dL, platelets > 5 (10(10)/L) and no viable hepatocellular carcinoma on diagnostic imaging. Mononuclear cells (MNCs) were separated by cell washing and were infused via the peripheral vein. After ABMI therapy liver function and Child-Pugh Score were significantly improved at 4 weeks and 24 weeks (P < 0.05). A total of 23 cases of ABMI therapy have been performed for LC patients to date. No major adverse effects were noted due to ABMI therapy. In conclusion, ABMI therapy should be considered as a novel treatment for LC patients.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.021
Threshold uncertainty score0.520

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.116
GPT teacher head0.381
Teacher spread0.266 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations16
Published2008
Admission routes1
Has abstractyes

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