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Record W4206116106 · doi:10.35990/mk.v4n5.p521-530

PROLOTERAPI DEKSTROSA PADA OSTEOARTRITIS LUTUT

2021· article· id· W4206116106 on OpenAlexaboutno aff
Rohmania Setiarini

Bibliographic record

VenueMedika Kartika Jurnal Kedokteran dan Kesehatan · 2021
Typearticle
Languageid
FieldMedicine
TopicTendon Structure and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineGynecology

Abstract

fetched live from OpenAlex

Osteoartritis lutut merupakan penyakit degeneratif kronis yang menyebabkan nyeri, kekakuan, dan terbatasnya gerak sendi sehingga terjadi disabilitas dan penurunan kualitas hidup. Prevalensi semakin meningkat dengan peningkatan usia. Terdapat berbagai jenis terapi untuk osteoartritis tetapi hanya sedikit yang dapat memperbaiki derajat degenerasinya. Injeksi intraartikular masih merupakan terapi non bedah yang popular untuk osteoartritis lutut, terutama jika dengan obat oral dan latihan masih dirasakan nyeri. Proloterapi merupakan teknik injeksi regeneratif non bedah yang memasukkan sedikit larutan iritatif ke tempat yang nyeri dan insersi tendon, sendi, ligamen serta daerah sekitar sendi selama beberapa kali pemberian untuk merangsang pertumbuhan sel dan jaringan normal. Agen proloterapi yang sering digunakan adalah dekstrosa dengan konsentrasi berkisar antara 12,5% sampai 25%. Dekstrosa dianggap agen proloterapi yang ideal karena sifatnya yang larut air dan dapat diinjeksikan ke beberapa area dengan aman. Injeksi dekstrosa hipertonik intraartikular dan ekstrartikular dalam tiga sampai lima kali sesi memiliki efek klinis dan statistik yang signifikan dalam perbaikan skor WOMAC (Western Ontario McMaster University Osteoarthritis Index), skala nyeri dan fungsional. Keuntungan proloterapi dekstrosa yaitu aman, murah, dan mudah diberikan serta belum ada penelitian yang melaporkan efek samping jangka panjang maupun permanen.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.386
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.258
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; both teacher heads agree on what is shown here.

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
Published2021
Admission routes1
Has abstractyes

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