ArticleInfection and drug resistance2023
Serum Cytokine Biomarkers for Use in Diagnosing Pulmonary Tuberculosis versus Chronic Pulmonary Aspergillosis.
Article in Infection and drug resistance, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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
9 citing papers in PubMed, 15 citations in OpenAlex.
- Diagnostic performance ofJournal of thoracic disease · 2025Article
- Delineating the Significance of Several Inflammatory Markers in a Lung Tuberculosis Cohort During the Active and Post-Tuberculosis Stages of the Disease: An Observational Study in Cape Town, South Africa (2019 to 2024).Infectious disease reports · 2025Article
- The Role and Potential Application of IL-12 in the Immune Regulation of Tuberculosis.International journal of molecular sciences · 2025Review
- Dendritic cell dysfunction, including impaired IL-12 production, is associated with chronic pulmonary aspergillosis.Clinical and experimental immunology · 2025Article
- Immune markers for pulmonary aspergillosis in patients with chronic obstructive pulmonary disease: a narrative review.Frontiers in immunology · 2025Review
- Development of a Predictive Risk Model for Recurrence of Chronic Pulmonary Aspergillosis in Post-Tuberculosis Patients: A Retrospective Observational Study.International journal of general medicine · 2025Article
- Article
- Whole-blood culture-derived cytokine combinations for the diagnosis of tuberculosis.Frontiers in immunology · 2024Article
- Diagnosis of Chronic Pulmonary Aspergillosis: Clinical, Radiological or Laboratory?Journal of fungi (Basel, Switzerland) · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Design or Methods: Given the fact CPA and TB induce different host immune responses, we evaluated serum cytokine level profiles of CPA, TB patients and patients with both diseases (CPA-TB) for multiple cytokines and cytokine combinations. Results: The results revealed significantly higher serum levels of numerous proinflammatory cytokines, including IL-1β, IL-6, IL-8, IL-12p70, IFN-α, IFN-γ and TNF-α, in peripheral blood of CPA-TB patients versus that of TB patients. IL-8 levels alone provided the best discriminatory performance for distinguishing between TB and either CPA-TB patients (AUC = 0.949) or CPA patients (AUC = 0.964). Moreover, both IL-8 and TNF-α (AUC = 0.996) levels could be used to distinguish between TB and CPA-TB patients. Likewise, IL-8, TNF-α and IL-6 levels together could be used to distinguish between CPA-TB and TB patients. Conclusion: In this study, multiple cytokines were identified that may serve as potential biomarkers for use in detecting TB patients with CPA. Furthermore, our results should enhance understanding of how immune system dysfunctions influence susceptibility to
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.