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Record W4395078758 · doi:10.3389/fopht.2024.1372429

Case report: A severe case of zoledronate-associated diffuse orbital inflammation and uveitis in a patient with metastatic breast cancer

2024· article· en· W4395078758 on OpenAlexaff
Pushpinder Kanda, Isaura Guerrero-Córdova, Jobanpreet Dhillon, Adrian Tsang

Bibliographic record

VenueFrontiers in Ophthalmology · 2024
Typearticle
Languageen
FieldMedicine
TopicBone health and treatments
Canadian institutionsOttawa HospitalUniversity of Ottawa
Fundersnot available
KeywordsMedicineScleritisZoledronic acidUveitisInflammationCancerIntermediate uveitisDermatologySurgeryOphthalmologyInternal medicineAnterior uveitis

Abstract

fetched live from OpenAlex

Introduction: Zoledronate is a commonly prescribed medication to maintain bone health; however, a rare side effect includes ocular inflammation. We report a case of simultaneous anterior uveitis and orbital inflammation associated with zoledronate infusion in a patient with metastatic breast cancer. We also performed a literature search to provide an up-to-date summary of cases with zoledronate-associated ocular inflammation. Methods: This is a case report with literature review. Literature search (timeline 2010 to 2023) was performed using PubMed with the search team: (zoledronate) AND (uveitis OR scleritis OR orbital inflammation OR ocular inflammation). Results: A 48-year-old female presented with left eye pain, swelling, and decreased vision 2 days after receiving zoledronic acid infusion. An ophthalmic exam showed non-granulomatous anterior uveitis. CT orbits and ocular ultrasound showed signs of posterior scleritis and orbital inflammation. Ocular inflammation caused by an infection or metastatic cancer was ruled out. The patient was treated with both topical and systemic corticosteroids. Complete resolution of the inflammation occurred after 2.5 weeks. Conclusion: Orbital inflammation and uveitis are an uncommon side effect of zoledronate but needs to be promptly recognized and treated to prevent sight-threatening complications.

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)0.000
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 score0.198
Threshold uncertainty score0.994

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 head0.013
GPT teacher head0.289
Teacher spread0.276 · 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 designCase report
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
Published2024
Admission routes1
Has abstractyes

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