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Curative effect of calcitriol in the treatment of primary osteoarthritis

2013· article· en· W3031607303 on OpenAlexaboutno aff
Neng Yang, Zhang Shou

Bibliographic record

VenueZhonghua shiyan waike zazhi · 2013
Typearticle
Languageen
FieldMedicine
TopicInflammatory mediators and NSAID effects
Canadian institutionsnot available
Fundersnot available
KeywordsCalcitriolOsteoarthritisWOMACMedicineUrinary calciumUrologyUrinary systemInternal medicineVitamin D and neurologyCalciumGastroenterologyEndocrinologyPathology

Abstract

fetched live from OpenAlex

Objective To examine the curative effects of calcitril in the treatment of primary osteoarthritis.Methods From October 2011 to October 2012,30 cases of osteoarthritis in our hospital were collected and studied.Blood 1,25-two hydroxy vitamin D 3 [1,25-(OH)2D3],and urinary calcium and phosphorus in 24 h were measured.Results During one year,30 cases came back for check-up.As compared with before treatment,patients had different degrees of recovery after treatment for 6 months and one year:western Ontario and McMaster universities osteoarthritis index (WOMAC) was significantly reduced (20.9 ± 6.5 and 2.6 ± 1.0 before and one year after treatment respectively,P < 0.05),lumbar spine BMD increased significantly [(0.70 ± 0.04) g/cm2 and (0.83 ± 0.07) g/cm2 before and one year after treatment respectively,P < 0.05],plasma 1,25-(OH),2D3 levels significantly increased [(35.6 ± 18.2) nmol/L and (50.3 ± 11.2) nmol/L before and one year after treatment respectively,P < 0.05],and 24 h urinary calcium and phosphorus levels significantly reduced [for urinary calcium and phosphorus levels,(4.98 ±0.67) nmol/L and (32.6 ±7.2) nmol/L,and (2.84 ±0.57) nmol/L and (20.9 ±6.5) nmol/L before and one year after treatment respectively,P < 0.05].Conclusion Calcitriol can inhibit bone loss,relieve pain and restore joint function. Key words: Osteoarthritis;  Rocalirol ;  Treatment effect

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 score0.401
Threshold uncertainty score0.551

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 studies0.0000.000
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 head0.008
GPT teacher head0.245
Teacher spread0.237 · 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

Citations0
Published2013
Admission routes1
Has abstractyes

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