ArticleF1000Research2025
Platelet-based biomarkers: A new frontier in inflammation monitoring for respiratory infections.
Article in F1000Research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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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.
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
3 citing papers in PubMed.
- Platelets in infection: intrinsic roles and functional outcomes.Frontiers in immunology · 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
- Platelet-based biomarkers: A new frontier in inflammation monitoring for respiratory infections.F1000Research · 2025Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Platelets play a crucial role in haemostasis and have emerging functions in inflammation, particularly in respiratory infections like pulmonary tuberculosis (PTB) and pneumonia. The objective of this study was to investigate alterations in platelet parameters and their relationship with erythrocyte sedimentation rate (ESR) in PTB and pneumonia patients, comparing them to healthy controls, to evaluate their diagnostic and prognostic potential. Methods: This retrospective case-control study was conducted at a tertiary care center, involving 450 participants: 158 PTB patients, 142 pneumonia patients, and 150 healthy controls. Laboratory data including platelet count, mean platelet volume (MPV), plateletcrit (PCT), platelet distribution width (PDW), and ESR were obtained from the hospital's Laboratory Information System. Statistical analyses, including Receiver Operating Characteristic (ROC) curve analysis, were performed to determine the diagnostic efficacy of the tests. Results: PTB and pneumonia patients exhibited significantly higher platelet counts and PCT, along with lower MPV compared to controls (p<0.001). In PTB patients, platelet count showed a positive correlation with PCT and ESR, and a negative correlation with MPV and PDW (p<0.001). Similar patterns were noted in pneumonia patients. ROC curve analysis identified cutoff values for platelet count (312,500/μl) and PCT (0.21%), which showed moderate sensitivity and specificity for differentiating PTB from pneumonia. ESR with a cutoff of 66.5 mm/h demonstrated comparable diagnostic performance. Conclusions: Altered platelet counts and indices in PTB and pneumonia patients correlate significantly with ESR levels, suggesting their potential as non-invasive diagnostic and prognostic markers in respiratory infections. Further prospective studies are needed to validate these findings and integrate platelet indices into clinical diagnostics.
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