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Record W2114815479 · doi:10.3748/wjg.v20.i48.18458

Clinical trial with traditional Chinese medicine intervention ''tonifying the kidney to promote liver regeneration and repair by affecting stem cells and their microenvironment'' for chronic hepatitis B-associated liver failure

2014· article· en· W2114815479 on OpenAlexaff
Hanmin Li

Bibliographic record

VenueWorld Journal of Gastroenterology · 2014
Typearticle
Languageen
FieldMedicine
TopicTraditional Chinese Medicine Studies
Canadian institutionsCAE (Canada)
FundersNatural Science Foundation of Hubei Province
KeywordsMedicineLiver regenerationRegeneration (biology)Stem cellRegenerative medicineChronic hepatitisKidneyTissue repairLiver failureImmunologyInternal medicineBiologyVirus

Abstract

fetched live from OpenAlex

AIM: To study the clinical efficacy of traditional Chinese medicine (TCM) intervention "tonifying the kidney to promote liver regeneration and repair by affecting stem cells and their microenvironment" ("TTK") for treating liver failure due to chronic hepatitis B. METHODS: We designed the study as a randomized controlled clinical trial. Registration number of Chinese Clinical Trial Registry is ChiCTR-TRC-12002961. A total of 144 patients with liver failure due to infection with chronic hepatitis B virus were enrolled in this randomized controlled clinical study. Participants were randomly assigned to the following three groups: (1) a modern medicine control group (MMC group, 36 patients); (2) a "tonifying qi and detoxification" ("TQD") group (72 patients); and (3) a "tonifying the kidney to promote liver regeneration and repair by affecting stem cells and their microenvironment" ("TTK") group (36 patients). Patients in the MMC group received general internal medicine treatment; patients in the "TQD" group were given a TCM formula "tonifying qi and detoxification" and general internal medicine treatment; patients in the "TTK" group were given a TCM formula of "TTK" and general internal medicine treatment. All participants were treated for 8 wk and then followed at 48 wk following their final treatment. The primary efficacy end point was the patient fatality rate in each group. Measurements of various virological and biochemical indicators served as secondary endpoints. The one-way analysis of variance and the t-test were used to compare patient outcomes in the different treatment groups. RESULTS: At the 48-wk post-treatment time point, the patient fatality rates in the MMC, "TQD", and "TTK" groups were 51.61%, 35.38%, and 16.67%, respectively, and the differences between groups were statistically significant (P < 0.05). However, there were no significant differences in the levels of hepatitis B virus DNA or prothrombin activity among the three groups (P > 0.05). Patients in the "TTK" group had significantly higher levels of serum total bilirubin compared to MMC subjects (339.40 μmol/L ± 270.09 μmol/L vs 176.13 μmol/L ± 185.70 μmol/L, P = 0.014). Serum albumin levels were significantly increased in both the "TQD" group and "TTK" group as compared with the MMC group (31.30 g/L ± 4.77 g/L, 30.72 g/L ± 2.89 g/L vs 28.57 g/L ± 4.56 g/L, P < 0.05). There were no significant differences in levels of alanine transaminase among the three groups (P > 0.05). Safety data showed that there was one case of stomachache in the "TQD" group and one case of gastrointestinal side effect in the "TTK" group. CONCLUSION: Treatment with "TTK" improved the survival rates of patients with liver failure due to chronic hepatitis B. Additionally, liver tissue was regenerated and liver function was restored.

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.000

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 head0.021
GPT teacher head0.266
Teacher spread0.245 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designRandomized trial
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

Citations10
Published2014
Admission routes1
Has abstractyes

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