Performance Evaluation of Automated Erythrocyte Sedimentation Rate (ESR) Analyzers in a Multicentric Study Article Swipe
YOU?
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· 2024
· Open Access
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· DOI: https://doi.org/10.3390/diagnostics14182011
Background: Erythrocyte Sedimentation Rate (ESR) is an easy test used to diagnose and monitor inflammatory and infectious diseases. The aim of this study was the evaluation of the performance of three ESR automated analyzers, VES-MATIC 5, CUBE 30 TOUCH, and MINI-CUBE, involving four Italian polyclinics in Rome, Siena, Como, and Arezzo, as well as inter-site variability assessment to detect possible device-dependent and operator-dependent influences. Methods: Accuracy analysis was carried out by analyzing the same samples with all three instruments and comparing them with the Westergren method. Precision was assessed with quality control material through intra-run and inter-run precision. Repeatability was estimated by reanalyzing fresh blood samples belonging to three ESR ranges (low, intermediate, and high) six times. Results: The results showed a strong correlation (Spearman coefficients R2) between the manual method and VES-MATIC 5 (0.978), CUBE 30 TOUCH (0.981), and MINI-CUBE (0.974). The accuracy of all clinics was excellent, with coefficients of variation (CVs) of less than 10% for all instruments. Repeatability confirmed an excellent level for all ESR ranges, with CVs below 10%. Conclusions: The study proved that all three automated instruments offer optimal performance for accuracy and precision and are suitable for both large and small facilities without influences of the laboratory environment.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/diagnostics14182011
- OA Status
- gold
- Cited By
- 2
- References
- 34
- Related Works
- 10
- OpenAlex ID
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Raw OpenAlex JSON
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https://openalex.org/W4402439759Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/diagnostics14182011Digital Object Identifier
- Title
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Performance Evaluation of Automated Erythrocyte Sedimentation Rate (ESR) Analyzers in a Multicentric StudyWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2024Year of publication
- Publication date
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2024-09-11Full publication date if available
- Authors
-
Flaminia Tomassetti, Cinzia Calabrese, Fabio Bertani, Michele Cennamo, Daniela Diamanti, Alfredo Giovannelli, Roberto Guerranti, Roberto Leoncini, Maria Lorubbio, Agostino Ognibene, Eleonora Nicolai, Martina Pelagalli, Carolina Pieroni, Sergio Bernardini, Massimo PieriList of authors in order
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https://doi.org/10.3390/diagnostics14182011Publisher landing page
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
- OA URL
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https://doi.org/10.3390/diagnostics14182011Direct OA link when available
- Concepts
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Erythrocyte sedimentation rate, Sedimentation, Chemistry, Medicine, Internal medicine, Biology, Sediment, PaleontologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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2Total citation count in OpenAlex
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2025: 2Per-year citation counts (last 5 years)
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34Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.influences. | 63 |
| abstract_inverted_index.instruments | 78, 182 |
| abstract_inverted_index.performance | 28, 185 |
| abstract_inverted_index.polyclinics | 44 |
| abstract_inverted_index.reanalyzing | 102 |
| abstract_inverted_index.variability | 55 |
| abstract_inverted_index.Conclusions: | 174 |
| abstract_inverted_index.coefficients | 125, 150 |
| abstract_inverted_index.environment. | 204 |
| abstract_inverted_index.inflammatory | 14 |
| abstract_inverted_index.instruments. | 160 |
| abstract_inverted_index.Repeatability | 98, 161 |
| abstract_inverted_index.Sedimentation | 2 |
| abstract_inverted_index.intermediate, | 112 |
| abstract_inverted_index.device-dependent | 60 |
| abstract_inverted_index.operator-dependent | 62 |
| cited_by_percentile_year.max | 97 |
| cited_by_percentile_year.min | 95 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 15 |
| citation_normalized_percentile.value | 0.79921333 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |