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Record W2370872961

Effect of Zhenqi Fuzheng Decoction on Immune Function of Patients with Nasopharyngeal Carcinoma Radiotherapy

2015· article· en· W2370872961 on OpenAlexaff
Zeng Chun-shen

Bibliographic record

VenueMedical Innovation of China · 2015
Typearticle
Languageen
FieldMedicine
TopicTraditional Chinese Medicine Studies
Canadian institutionsInstitute of Cancer Research
Fundersnot available
KeywordsMedicineDecoctionNasopharyngeal carcinomaCD8Radiation therapyImmune systemAstragalusInternal medicineGastroenterologyCD3OncologyImmunologyTraditional Chinese medicinePathology
DOInot available

Abstract

fetched live from OpenAlex

Objective:To observe the effect of Zhenqi Fuzheng Decoction on immune function of patients with nasopharyngeal carcinoma radiotherapy.Method:60 cases of nasopharyngeal carcinoma were randomly divided into study group and control group, each group had 30 cases. The control group carried out a simple three-dimensional conformal radiotherapy, The study group carried three-dimensional conformal radiotherapy and took Astragalus, Ligustrum lucidum mainly taking health care prescription decoction at first day, a daily agent, until the end of radiotherapy. Two groups were observed before and after treatment in patients with peripheral blood CD3, CD4, CD8, CD4/CD8 and NK lymphocyte data changes. Result:the study group as compared with before treatment, CD3, CD4, CD4/CD8 and NK cells were decreased, CD8 increased slightly, but the difference was not statistically significant(P0.05); the control group compared with before treatment, CD3, CD4, CD4/CD8 and NK cells decreased significantly, CD8 increased significantly, the difference was statistically significant(P0.05); the study group in comparison to the control group after treatment, CD3, CD4, NK cells decreased significantly(P0.05),CD8 increased significantly(P0.01).Conclusion:Astragalus, Ligustri Lucidi decoction has the function of health care to improve mainly radiotherapy in patients with nasopharyngeal carcinoma cell immune function, there is of great significance for the maintenance of the follow-up treatment.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.058
Threshold uncertainty score0.470

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.013
GPT teacher head0.277
Teacher spread0.264 · 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".

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Citations0
Published2015
Admission routes1
Has abstractyes

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