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Record W4413109320 · doi:10.3928/01477447-20250715-01

Severe Acute Localized Reaction/Pseudosepsis in Patients With Knee Osteoarthritis Receiving Injections of Hyaluronic Acid: A Targeted Literature Review

2025· review· en· W4413109320 on OpenAlexaff
Seth L. Sherman, Wilson Ngai, Kevin Steele, Jean‐Paul Collet, John D. Kelly

Bibliographic record

VenueOrthopedics · 2025
Typereview
Languageen
FieldMedicine
TopicOsteoarthritis Treatment and Mechanisms
Canadian institutionsCentre for Advancing Health Outcomes
FundersInternational Society of Arthroscopy, Knee Surgery and Orthopaedic Sports MedicineAmerican Orthopaedic Society for Sports MedicineSanofi
KeywordsHyaluronic acidMedicineOsteoarthritisViscosupplementationIntra articularSurgeryAdverse effectInternal medicinePathology

Abstract

fetched live from OpenAlex

Background Hyaluronic acid injections for knee osteoarthritis patients can result in pseudosepsis. A targeted literature review was conducted to determine the rate of pseudosepsis in patients receiving intra-articular hyaluronic acid, particularly hylan G-F 20 (SYNVISC ® ). Materials and Methods Articles were identified through Embase using predefined search strategies. Pseudosepsis event rate was calculated by dividing the number of reported events by the total number of intra-articular injections. Results The pseudosepsis event rate ranged from 0% to 5.6% per injection; most treatment groups had an event rate of ≤2% per injection. Conclusion Pseudosepsis event rates were low across studies for patients treated with hyaluronic acid, including hylan G-F 20.

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)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.009
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.003
Bibliometrics0.0090.009
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.009
GPT teacher head0.272
Teacher spread0.263 · 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 designSystematic review
Domainnot available
GenreReview

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
Published2025
Admission routes1
Has abstractyes

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