Observational studyScientific reports2024
Prognostic significance of serum interleukin-6 in severe/critical COVID-19 patients treated with tocilizumab: a detailed observational study analysis.
Observational study in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed.
- From Glycocalyx Shedding to Microvascular Collapse in Sepsis: Endothelial Pathophysiology, Organ Dysfunction, and Mechanistic Biomarkers.Pathophysiology : the official journal of the International Society for Pathophysiology · 2026Review
- Interleukins in COVID-19 and SARS-CoV-2 Variants: Immunopathogenesis, Therapeutic Perspectives and Vaccine-Induced Immune Responses.International journal of molecular sciences · 2026Review
- Targeting asparagine and cysteine in SARS-CoV-2 variants and human pro-inflammatory mediators to alleviate COVID-19 severity; a cross-section and in-silico study.Scientific reports · 2025Article
- Evaluating the efficacy of different doses of tocilizumab in treating critically ill COVID-19 patients: a single-center retrospective cohort study.Frontiers in pharmacology · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Baseline IL-6 levels have been found to be non-predictive of subsequent outcomes following tocilizumab treatment, highlighting the need for more reliable predictive markers. To address this, a retrospective analysis was conducted on the clinical profiles, diagnostic tests, and follow-up prognoses of 60 patients with severe or critical COVID-19, all of whom were identified as experiencing a cytokine storm and subsequently received tocilizumab treatment. Among the patients, the overall survival rate during follow-up was 80%, with further analysis revealing that advanced age was an independent risk factor for adverse outcomes. Following tocilizumab administration, a statistically significant increase in IL-6 and D-dimer levels was observed, while markers such as C-reactive protein (CRP), procalcitonin (PCT), and fibrinogen demonstrated reductions compared to pre-treatment values. Specifically, IL-6 levels initially surged briefly after tocilizumab intervention before gradually diminishing. To assess the prognostic utility of IL-6, the Receiver Operating Characteristic (ROC) curve was employed, which yielded an area under the curve (AUC) of 0.812, indicating strong predictive capability, with a sensitivity of 100% and a specificity of 53.49%. The optimal cut-off value for IL-6 was identified at 147.79 pg/mL. In conclusion, IL-6 levels tend to rise transiently following tocilizumab therapy, before gradually declining. These post-treatment IL-6 measurements may serve as a valuable biomarker for assessing prognosis in patients undergoing this treatment.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.