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Record W4387765806

Regulating spleen and stomach can improve bone and joint function of knee osteoarthritis patients complicated with osteoporosis.

2023· article· en· W4387765806 on OpenAlexaboutno aff
Dun Zhou, Xue Xia, Jiayan Ling, Chong Liu

Bibliographic record

VenuePubMed · 2023
Typearticle
Languageen
FieldMedicine
TopicOsteoarthritis Treatment and Mechanisms
Canadian institutionsnot available
FundersHubei University
KeywordsMedicineOsteoarthritisWOMACStomachSpleenInternal medicineVisual analogue scaleTraditional Chinese medicineIncidence (geometry)OsteoporosisGastroenterologyJoint painAdverse effectBone remodelingProcollagen peptidaseSurgeryPathology
DOInot available

Abstract

fetched live from OpenAlex

OBJECTIVE: This study was designed to determine the influences of spleen and stomach conditioning treatment in Traditional Chinese Medicine (TCM) on patients with both knee osteoarthritis (KOA) and osteoporosis (OP). METHODS: The medical records of 108 patients with both KOA and OP treated in Wuhan No. 1 Hospital between February 2020 and December 2021 were retrospectively studied. Among them, 58 patients treated with western medicine alone were assigned to a control group, and 50 patients who received spleen and stomach conditioning treatment in TCM based on western medicine treatment were assigned to an observation group. The efficacy on the two groups was compared. The joint function, pain, inflammatory factors and bone turnover markers in the two groups before and after treatment were analyzed, as well as the incidence of adverse reactions after treatment. The prognosis of the patients at 12 months after treatment was counted, and the influencing factors of poor prognosis were analyzed by multivariate analysis. RESULTS: The observation group showed a notably higher total effective rate than the control group (P<0.05). After treatment, the observation group had notably higher Lysholm score, but notably lower Western Ontario and McMaster University Osteoarthritis Index (WOMAC) and visual analogue scale (VAS) scores than the control group (all P<0.05). After treatment, the bone turnover markers (beta collagen degradation products (β-CTx) and procollagen type I amino-terminal propeptide (P1NP)) in both groups decreased notably (P<0.05), with notably lower levels of them in the observation group than those in the control group (both P<0.05). Additionally, after the treatment, the inflammatory indexes (interleukin-1β (IL-1β), interleukin-6 (IL-6), and tumor necrosis factor-α (TNF-α)) in both groups decreased notably (all P<0.05), with notably lower levels of them in the observation group than those in the control group (all P<0.05). Moreover, the observation group presented a notably lower incidence of adverse reactions than the control group (P<0.05). The rate of poor prognosis in the observation group was notably lower than that in the control group. According to multiple logistic regression analysis, older age, higher BMI, higher Kellgren-Lawrence grading based on X-ray and history of bone fracture were independent risk factors for poor prognosis, and spleen and stomach conditioning treatment was an independent protective factor. CONCLUSION: Additional TCM spleen and stomach conditioning treatment can substantially improve the efficacy in patients with both KOA and OP by adjusting the inflammatory factors and bone turnover markers of patients, improving their joint function, alleviating their pain, and strongly preventing adverse reactions, so it is of great clinical application value.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.014
GPT teacher head0.194
Teacher spread0.180 · 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 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

Citations1
Published2023
Admission routes1
Has abstractyes

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