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Record W4310113740 · doi:10.16899/jcm.1143442

Is intraarticular enjections effective on pain management in patients with late stage primer gonarthrosis during COVID-19 pandemic? A single centre experience

2022· article· en· W4310113740 on OpenAlexaboutno aff
Mete Gedikbaş, Yusuf Bayram

Bibliographic record

VenueJournal of Contemporary Medicine · 2022
Typearticle
Languageen
FieldMedicine
TopicOsteoarthritis Treatment and Mechanisms
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineWOMACNonsteroidalSurgeryRetrospective cohort studyOsteoarthritisPhysical therapyInternal medicine

Abstract

fetched live from OpenAlex

Background: Primary gonarthrosis is a progressive disease that increases with age and leads to limitations in activities of daily living. Until surgery is performed, nonsteroidal anti-inflammatory drugs, intraarticular injections, and physical therapy methods are used.
 Purpose: This study aims to compare the clinical outcomes of intra- articular corticosteroid (CCS) and hyaluro nic acid (HA) injections for pain relief in primary gonartrhosis in COVID -19 pandemic period.
 Study Design: Retrospective Cohort Study.
 Methods: In this study, 88 patients who underwent intra-articular CCS and HA injection between August 2020 and March 2021 due to Kellgren-Lawrence stage 2 and higher gonarthrosis were investigated. Patients were divided into two groups. Group I represents the patients who received HA injections, and group II represents the patients who received CCS injection. Western Ontario and McMaster Universities Arthritis Index (WOMAC) and Knee Society Score (KSS) scores were used for the preoperative and postoperative functional evaluations of the patients. 
 Results: Group I included 40 patients and group II included 48 patients. The mean age was 59.4 ± 7.3 years, and the average follow-up period was 12 ± 2,6 months. The pre-intervention WOMAC scores were 13,5 in Group I and 13.6 in Group II, KSS scores were 26,5 in Group I and 25,2 in Group II. While there was a significant change in the control at month 1 in both groups, no difference was found between the groups. At the 6th month control, the improvement in group 1 continued at a significant level compared to the pre-injection period, while group 2 returned to the pre-injection level. (p

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.540
Threshold uncertainty score0.606

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0000.000

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 head0.025
GPT teacher head0.275
Teacher spread0.250 · 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
Published2022
Admission routes1
Has abstractyes

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