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Record W1980327989 · doi:10.1155/2011/935041

Nonsurgical Management of Severe Osteonecrosis of the Knee in an HIV-Positive Patient: A Case Report

2011· article· en· W1980327989 on OpenAlex
Stephanie Nixon, Kelly K. O’Brien, Gary S. Rubin

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueCase Reports in Infectious Diseases · 2011
Typearticle
Languageen
FieldMedicine
TopicBone and Joint Diseases
Canadian institutionsSunnybrook Health Science CentreCentre for Disability Prevention and RehabilitationMcMaster UniversityUniversity of Toronto
FundersCanadian Institutes of Health ResearchMcMaster University
KeywordsMedicineHuman immunodeficiency virus (HIV)Antiretroviral therapyAdverse effectPhysical therapyPediatricsSurgeryViral loadInternal medicine

Abstract

fetched live from OpenAlex

Due to the life-prolonging effects of combination antiretroviral therapy, many people with HIV are living longer. However, this enhanced longevity is often mirrored by increased disability resulting from HIV and/or the adverse effects of medication. Management of HIV-positive patients is further complicated by comorbidities related to aging, including bone and joint disorders. In this paper, we describe the nonsurgical management of an HIV-positive patient with premature onset of severe osteonecrosis of the knee. A 50-year-old man who had been HIV-positive for 16 years and on combination antiretroviral therapy for 11 years presented to his family physician with extreme discomfort in his right knee. He was diagnosed with osteonecrosis of the right knee, but resisted total knee arthroplasty because of potential complications under anesthesia related to comorbid advanced liver disease. Instead, a successful combination of non-surgical management strategies was employed by the patient and his health care team.

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)0.000
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: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.052
Threshold uncertainty score0.638

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.014
GPT teacher head0.253
Teacher spread0.239 · 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