ReviewJournal of intensive care2018
Immunosenescence in neurocritical care.
Review in Journal of intensive care, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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
7 citing papers in PubMed, 8 citations in OpenAlex.
- Safety evaluation of afatinib in patients with a history of interstitial lung disease using data from an administrative claims database in Japan.International journal of clinical pharmacy · 2026Article
- The Relationship Between the Pan-Immune-Inflammation Value (PIV) and Mortality in Elderly Critically Ill Patients with Sepsis: A Single-Centre Retrospective Study.Journal of clinical medicine · 2026Article
- Biological Age, Aging Clocks, and the Interplay with Lymphoid Neoplasms: Mechanisms and Clinical Frontiers.Lymphatics · 2025Article
- Protective effects of S100A8 on sepsis mortality: Links to sepsis risk in obesity and diabetes.iScience · 2022Article
- Prolonged Reactive Oxygen Species Production following Septic Insult.ImmunoHorizons · 2021Observational
- Gut dysbiosis and age-related neurological diseases; an innovative approach for therapeutic interventions.Translational research : the journal of laboratory and clinical medicine · 2020Review
- Age and Sex Influence the Hippocampal Response and Recovery Following Sepsis.Molecular neurobiology · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSeveral advanced and developing countries are now entering a superaged society, in which the percentage of elderly people exceeds 20% of the total population. In such an aging society, the number of age-related diseases such as malignant tumors, diabetes, and severe infections including sepsis is increasing, and patients with such disorders often find themselves in the ICU. MAIN BODY: Age-related diseases are closely related to age-induced immune dysfunction, by which reductions in the efficiency and specificity of the immune system are collectively termed "immunosenescence." The most noticeable is a decline in the antigen-specific acquired immune response. The exhaustion of T cells in elderly sepsis is related to an increase in nosocomial infections after septicemia, and even death over subacute periods. Another characteristic is that senescent cells that accumulate in body tissues over time cause chronic inflammation through the secretion of proinflammatory cytokines, termed senescence-associated secretory phenotype. Chronic inflammation associated with aging has been called "inflammaging," and similar age-related diseases are becoming an urgent social problem.
conclusionIn neuro ICUs, several neuro-related diseases including stroke and sepsis-associated encephalopathy are related to immunosenescence and neuroinflammation in the elderly. Several advanced countries with superaged societies face the new challenge of improving the long-term prognosis of neurocritical patients.
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.