ArticleInfection and drug resistance2024
The Predictive Value of Absolute Lymphocyte Count and T Cell Subpopulations for Sepsis Prognosis.
Article in Infection and drug resistance, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.
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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.
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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.
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Who cites it
6 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- CD4Sensors (Basel, Switzerland) · 2026Pooled it
- Peripheral adaptive immune cell counts and mortality in adult sepsis: a systematic review and meta-analysis.Frontiers in immunology · 2026Pooled it
- Factors associated withJournal of thoracic disease · 2026Article
- Clinical significance of controlling nutritional status score in predicting ICU admission, prolonged hospitalization, and in-hospital mortality in emergency sepsis: a single-center retrospective study.Frontiers in nutrition · 2026Article
- Monitoring immune cell dynamics for potential prognostic biomarker of sepsis.BMC infectious diseases · 2025Article
- Impact of absolute lymphocyte count upon admission to ICU on 28-day mortality in sepsis patients in ICU.Frontiers in immunology · 2025Article
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Sepsis causes substantial morbidity and mortality and constitutes a major public health problem. In patients with sepsis, immunosuppression is associated with poor prognosis, and immune monitoring during the early stages has prognostic value. This study aims to explore immunologic parameters associated with sepsis prognosis, potentially identifying patients who may benefit from immunotherapy, improving intensive care survival. Methods: A total of 65 patients with sepsis from the Department of Emergency Medicine were divided based on survival at 28 days (47 in the survival group, 18 in the non-survival group). Peripheral blood was collected to measure absolute lymphocyte count and T lymphocyte subpopulations, including the percentage and absolute count of total T cells, CD4 Results: The absolute lymphocyte count, absolute T cell count (CD3 Conclusion: Monitoring of absolute lymphocyte count and analysis of T cell subtypes in the early phase of sepsis is predictive of outcome and may help identify those patients who would benefit from immunotherapy, improving survival.
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