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Record W3179586995 · doi:10.21203/rs.3.rs-77484/v1

Analysis of the Effect of Duloxetine in the Treatment of Early Pain After Total Knee Arthroplasty

2020· preprint· en· W3179586995 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueResearch Square (Research Square) · 2020
Typepreprint
Languageen
FieldChemistry
TopicSynthesis of β-Lactam Compounds
Canadian institutionsnot available
Fundersnot available
KeywordsDuloxetineMedicineWOMACCelecoxibAnesthesiaAnalgesicOsteoarthritisHamdAdverse effectPregabalinRandomized controlled trialSurgeryInternal medicineSignificant difference

Abstract

fetched live from OpenAlex

Abstract OBJECTIVE: Total knee arthroplasty is one of the most effective treatments for advanced degeneration of the knee. Knee replacement surgery has achieved excellent clinical results, not only solving the patients' pain, but also solving the social problems. The objective of this study was to examine the effect of duloxetine, a selective serotonin norepinephrine reuptake inhibitor, on the treatment of early pain in patients after TKA.METHODS: The study is a randomized controlled trial. Sixty patients who underwent TKA from January 2020 to June 2020 were selected for inclusion in the study, and equally assigned to a celecoxib group and a duloxetine group. There were 22 males and 38 females; the average age was 60.3±5.1 (56-74) years. The celecoxib group was given celecoxib 200mg/bid. The duloxetine group received duloxetine 30mg/bid. Analgesic medication was applied from the first postoperative day in the two groups for 4 weeks. The effectiveness of analgesia was assessed by the postoperative VAS walking pain score, HAMD-17 (Hamilton Depression Scale) score and the WOMAC pain score (Western Ontario and McMaster Universities Osteoarthritis Index, WOMAC). The proportion of adverse events in the two groups was also compared to further evaluate the analgesic effect and safety. RESULTS: There was no significant difference in VAS score between groups on postoperative day three but duloxetine was superior to the celecoxib group at postoperative weeks one, two and four (p < 0.05). The HAMD-17 scores in both groups decreased at week four compared to preoperative values (p < 0.05), but the duloxetine group's HAMD-17 score was superior to the celecoxib group four weeks postoperatively (P < 0.05). The WOMAC pain scores of the duloxetine group were superior to the celecoxib group (P < 0.05) at postoperative weeks one, two and four. There was no significant difference in the incidence of adverse events.CONCLUSION: Duloxetine has a good effect on postoperative analgesia after TKA and can relieve patients' depression and anxiety, and promote rapid recovery. Thus, we can infer that duloxetine can be used to treat early postoperative pain after knee arthroplasty.

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.

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)0.020
metaresearch head score (Gemma)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.143
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0200.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0020.006
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0020.002
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0020.000

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 head0.045
GPT teacher head0.367
Teacher spread0.322 · 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