ArticleFrontiers in immunology2021
Lymphocyte-Related Immunological Indicators for Stratifying
Article in Frontiers in immunology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
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Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.
- Diagnostic performance of biomarkers for differentiating active tuberculosis from latent tuberculosis: a systematic review and Bayesian network meta-analysis.Frontiers in microbiology · 2024Pooled it
- D-Dimer: A Mediator of the Association Between Lymphocyte and Dissemination of Pulmonary Tuberculosis: A Retrospective Cohort Study.The clinical respiratory journal · 2026Article
- Detection for New Biomarkers of Tuberculosis Infection Activity Using Machine Learning Methods.Diseases (Basel, Switzerland) · 2026Review
- Alterations in the Immune Response in Individuals with Latent Tuberculosis Infection.Pathogens (Basel, Switzerland) · 2025Review
- Validation and interpretation of machine-learning models for rapid identification of active tuberculosis infection using routine laboratory indicators.Frontiers in cellular and infection microbiology · 2025Article
- A new strategy improving TB diagnosis: stratified urine LAM test based on lymphocyte counts.Frontiers in cellular and infection microbiology · 2025Article
- Functional and phenotypic characterization of peripheral blood mononuclear cells from tuberculosis patients in Southern Thailand.Frontiers in immunology · 2025Article
- Analysis of Lymphocyte Immunologic Indexes in the Early Diagnosis of Active Pulmonary Tuberculosis of Adolescents in China.Infection and drug resistance · 2025Article
- B cell lineage reconstitution underlies CAR-T cell therapeutic efficacy in patients with refractory myasthenia gravis.EMBO molecular medicine · 2024Article
- Clinical predictive value of the CRP-albumin-lymphocyte index for prognosis of critically ill patients with sepsis in intensive care unit: a retrospective single-center observational study.Frontiers in public health · 2024Observational
- Development of diagnostic algorithm using machine learning for distinguishing between active tuberculosis and latent tuberculosis infection.BMC infectious diseases · 2022Article
- Immune responses in COVID-19 and tuberculosis coinfection: A scoping review.Frontiers in immunology · 2022Article
- Activation Phenotype ofFrontiers in immunology · 2021Article
Corrections and comments
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Authors and funding
16 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Easily accessible tools that reliably stratify Methods: A total of 171 subjects consisted of 54 ATB, 57 LTBI, and 60 HC were consecutively recruited at Tongji hospital from January 2019 to January 2021. All participants were tested for lymphocyte subsets, phenotype, and function. Other examination including T-SPOT and microbiological detection for MTB were performed simultaneously. Results: Compared with LTBI and HC, ATB patients exhibited significantly lower number and function of lymphocytes including CD4 Conclusions: Our study demonstrated that the immunodiagnostic model established by the combination of lymphocyte-related indicators could facilitate the status differentiation of MTB infection.
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