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Record W2385978421

The Application of Mesenchymal Stem Cells in the Treatment of Digestive Diseases

2012· article· en· W2385978421 on OpenAlexaboutno aff
Jiang-nuo Fan

Bibliographic record

VenueGuide of China Medicine · 2012
Typearticle
Languageen
FieldMedicine
TopicMesenchymal stem cell research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineMesenchymal stem cellPathologicalDigestive enzymeInternal medicineDiseaseStem cellGastroenterologyPathologyEnzymeAmylase
DOInot available

Abstract

fetched live from OpenAlex

Objective To study the use of clinical manifestations,treatment of digestive diseases and pathological analysis,treatment and prognostic factors.Methods 120 patients with digestive disease patients were randomly divided into two groups of 60 cases.The observation group were treated with conventional medication plus mesenchymal stem cells for treatment and control group with conventional therapy.Results Observation group in Canada with the mesenchymal stem cells,significantly improved the function of the digestive system,vital signs indicators change after treatment compared with the control group increased.Observation group,the total efficiency is significantly higher than the control group(P0.05).Conclusion Plus mesenchymal stem cells in the treatment of digestive diseases better than using only conventional drug treatment efficacy,and can significantly improve the patient's digestive function,improve the quality of life of 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 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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

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

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 head0.031
GPT teacher head0.346
Teacher spread0.315 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations0
Published2012
Admission routes1
Has abstractyes

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Same venueGuide of China MedicineSame topicMesenchymal stem cell researchFrench-language works237,207