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Record W4387543797 · doi:10.1159/000532004

Remitting Seronegative Symmetrical Synovitis with Pitting Edema: A Case Report of an Immune-Related Adverse Event following Surgery

2023· article· en· W4387543797 on OpenAlexaff
Helena J. Janse van Rensburg, Pavlina Spiliopoulou, Anas Makhzoum, Brian D. Healy

Bibliographic record

VenueCase Reports in Oncology · 2023
Typearticle
Languageen
FieldMedicine
TopicCancer Immunotherapy and Biomarkers
Canadian institutionsJuravinski HospitalPrincess Margaret Cancer CentreHamilton Health SciencesUniversity of TorontoUniversity Health NetworkTrillium Health Centre
Fundersnot available
KeywordsMedicineAdverse effectImmune systemContext (archaeology)SynovitisAdjuvantEdemaPeripheral edemaCancerSurgeryDermatologyImmunologyInternal medicineRheumatoid arthritis

Abstract

fetched live from OpenAlex

Immune checkpoint inhibitors (ICIs) have emerged as a novel class of anti-neoplastic agent in oncology. Their integration into practice has been accompanied by "immune-related adverse events" (irAEs) wherein off-target immune responses damage healthy tissues. Severe irAEs can cause irreversible organ dysfunction and death. Despite this, little is known about factors which predispose certain patients to develop irAEs or which precipitate their onset. Here, we report a case of a patient with melanoma who completed adjuvant immunotherapy, underwent elective hip replacement, and developed a rare rheumatologic irAE (remitting seronegative symmetrical synovitis with pitting edema) post-operatively. Mechanistically, we hypothesize that surgery contributed to irAE pathogenesis as a sensitizing event in which self-antigens were presented to an immune system with diminished peripheral tolerance in the context of recent ICI administration. This case highlights a need for future correlative analyses, investigating whether iatrogenic interventions such as surgery might be associated with irAE development.

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)0.005
metaresearch head score (Gemma)0.003
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 score0.038
Threshold uncertainty score0.895

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
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 head0.024
GPT teacher head0.333
Teacher spread0.310 · 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

Citations2
Published2023
Admission routes1
Has abstractyes

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