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Krebs Von Den Lungen-6 As A Biomarker for Disease Severity Assessment in Interstitial Lung Disease: A Comprehensive Review
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- Miriana d’Alessandro
- Respiratory Diseases & Lung Transplantation, Department of Medical & Surgical Sciences & Neurosciences, Siena University Hospital, Siena, Italy
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- Laura Bergantini
- Respiratory Diseases & Lung Transplantation, Department of Medical & Surgical Sciences & Neurosciences, Siena University Hospital, Siena, Italy
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- Paolo Cameli
- Respiratory Diseases & Lung Transplantation, Department of Medical & Surgical Sciences & Neurosciences, Siena University Hospital, Siena, Italy
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- Lucia Vietri
- Respiratory Diseases & Lung Transplantation, Department of Medical & Surgical Sciences & Neurosciences, Siena University Hospital, Siena, Italy
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- Nicola Lanzarone
- Respiratory Diseases & Lung Transplantation, Department of Medical & Surgical Sciences & Neurosciences, Siena University Hospital, Siena, Italy
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- Valerio Alonzi
- Respiratory Diseases & Lung Transplantation, Department of Medical & Surgical Sciences & Neurosciences, Siena University Hospital, Siena, Italy
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- Maria Pieroni
- Respiratory Diseases & Lung Transplantation, Department of Medical & Surgical Sciences & Neurosciences, Siena University Hospital, Siena, Italy
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- Rosa M Refini
- Respiratory Diseases & Lung Transplantation, Department of Medical & Surgical Sciences & Neurosciences, Siena University Hospital, Siena, Italy
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- Piersante Sestini
- Respiratory Diseases & Lung Transplantation, Department of Medical & Surgical Sciences & Neurosciences, Siena University Hospital, Siena, Italy
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- Francesco Bonella
- Center for Interstitial & Rare Lung Disease, Department of Pulmonology, Ruhrlandklinik University Hospital, Essen, Germany
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- Elena Bargagli
- Respiratory Diseases & Lung Transplantation, Department of Medical & Surgical Sciences & Neurosciences, Siena University Hospital, Siena, Italy
Search this article
Journal
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- Biomarkers in Medicine
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Biomarkers in Medicine 14 (8), 665-674, 2020-06
Informa UK Limited
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Details 詳細情報について
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- CRID
- 1360294646031371008
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- ISSN
- 17520371
- 17520363
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- Data Source
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- Crossref