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Safety and efficacy of interleukin-6 blockade for immune-related adverse events: A systematic review and meta-analysis.

2024· review· en· W4399318774 on OpenAlexaff
Maysa Vilbert, Erica C. Koch Hein, Thiago Madeira, Isabella Michelon, Jonathan N. Priantti, Matheus Lobo, Maria Inez Dacoregio, Caio Castro, Ludimila Cavalcante, Chia‐Yun Wu, Sherin J. Rouhani, Ross D. Merkin, Ryan J. Sullivan, Kerry L. Reynolds

Bibliographic record

VenueJournal of Clinical Oncology · 2024
Typereview
Languageen
FieldMedicine
TopicPathogenesis and Treatment of Hiccups
Canadian institutionsPrincess Margaret Cancer CentreUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsMedicineAdverse effectMeta-analysisBlockadeImmune systemInterleukinInterleukin 2OncologyIntensive care medicineImmunologyInternal medicineCytokineReceptor

Abstract

fetched live from OpenAlex

e24149 Background: Interleukin-6 blockade (IL-6) - tocilizumab and sarilumab - have shown promising results for steroid-refractory immune-related adverse events (irAEs) in cancer patients treated with immune-checkpoint inhibitors (ICI). However, the ideal scenario for IL-6 therapy use is not well established. Hence, we conducted a systematic review and meta-analysis to investigate the safety and efficacy of IL-6 blockade for patients with ICI-associated irAEs. Methods: PubMed, Embase, and Cochrane databases were searched for studies including at least five patients with ICI-associated irAEs treated with IL-6 blockade. The main outcomes were safety and efficacy, measured as clinical improvement (resolution or improvement of irAEs or steroid taper to < 10mg daily), C-reactive protein (CRP) level changes, and elevated IL-6 levels. Analyses using random-effects model were done in R Software. Heterogeneity was assessed using I2. Results: Eight studies with 202 patients were included: 1 clinical trial, 3 multicenter, and 4 single-center observational studies. The median age was 63 years (30-81), and 59% were male. Melanoma was the predominant tumor type (n = 78, 38.6%), followed by lung (n = 67, 33%), renal cell carcinoma (n = 21, 10%), bladder cancer (n = 12, 6%), and others. Monotherapy with ICI, targeting PD-1, PD-L1, or CTLA-4, was given to 77% of patients, while 23% had combination ICI therapy. Follow-up ranged from 6 to 23 months. Most patients received prior steroids (85%) or steroid-sparing immunosuppression (24%). Pooled analysis of all patients showed an overall clinical improvement rate of 87.9% (95%CI 78.7 to 95.1, I2= 44%). Clinical improvement with IL-6 blockade was significantly higher in patients with cytokine release syndrome (CRS, 100%) and rheumatic irAEs (88%) compared to other irAEs (p < 0.01, Table 1). At the time of irAEs, the median CRP level was 109.3 (11.5 to 233), which decreased to 17 (1 to 60) after IL-6 blockade. The frequency of baseline elevated IL-6 level was 90.6% (95%CI 68 to 100, I2= 80%). Grade 3 or 4 IL-6-related adverse events were reported in 11% (17/151) of patients and included neutropenia (n = 6), increased liver transaminase levels (n = 4), and gastrointestinal perforation (n = 2). Conclusions: This systematic review and meta-analysis provides evidence for the use of IL-6 blockade for steroid-treating refractory irAEs associated with ICI. The vast majority of patients with steroid-refractory CRS and rheumatic irAEs were successfully treated with anti-IL6 therapy.[Table: see text]

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)0.013
metaresearch head score (Gemma)0.025
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.018
Threshold uncertainty score0.068

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.025
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0180.037
Bibliometrics0.0070.008
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0020.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.250
GPT teacher head0.532
Teacher spread0.282 · 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 designMeta-analysis
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".

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Citations2
Published2024
Admission routes1
Has abstractyes

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