Molecular Genomic Assessment Using a Blood-based mRNA Signature (NETest) is Cost-effective and Predicts Neuroendocrine Tumor Recurrence With 94% Accuracy.
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| Title: | Molecular Genomic Assessment Using a Blood-based mRNA Signature (NETest) is Cost-effective and Predicts Neuroendocrine Tumor Recurrence With 94% Accuracy. |
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| Authors: | Modlin IM; Yale University School of Medicine, New Haven, CT., Kidd M; Wren Laboratories, Branford, CT., Frilling A; Imperial College London, London, United Kingdom., Falconi M; IRCCS San Raffaele Scientific Institute, Milan, Italy., Filosso PL; University of Torino, Torino, Italy., Malczewska A; Medical University of Silesia, Katowice, Poland., Kitz A; Wren Laboratories, Branford, CT. |
| Source: | Annals of surgery [Ann Surg] 2021 Sep 01; Vol. 274 (3), pp. 481-490. |
| Publication Type: | Journal Article; Multicenter Study |
| Journal Info: | Publisher: Lippincott Williams & Wilkins Country of Publication: United States NLM ID: 0372354 Publication Model: Print Cited Medium: Internet ISSN: 1528-1140 (Electronic) Linking ISSN: 00034932 NLM ISO Abbreviation: Ann Surg Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 34183517 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Molecular Genomic Assessment Using a Blood-based mRNA Signature (NETest) is Cost-effective and Predicts Neuroendocrine Tumor Recurrence With 94% Accuracy. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Modlin+IM%22">Modlin IM</searchLink>; Yale University School of Medicine, New Haven, CT.<br /><searchLink fieldCode="AU" term="%22Kidd+M%22">Kidd M</searchLink>; Wren Laboratories, Branford, CT.<br /><searchLink fieldCode="AU" term="%22Frilling+A%22">Frilling A</searchLink>; Imperial College London, London, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Falconi+M%22">Falconi M</searchLink>; IRCCS San Raffaele Scientific Institute, Milan, Italy.<br /><searchLink fieldCode="AU" term="%22Filosso+PL%22">Filosso PL</searchLink>; University of Torino, Torino, Italy.<br /><searchLink fieldCode="AU" term="%22Malczewska+A%22">Malczewska A</searchLink>; Medical University of Silesia, Katowice, Poland.<br /><searchLink fieldCode="AU" term="%22Kitz+A%22">Kitz A</searchLink>; Wren Laboratories, Branford, CT. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%220372354%22">Annals of surgery</searchLink> [Ann Surg] 2021 Sep 01; Vol. 274 (3), pp. 481-490. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Multicenter Study – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Lippincott+Williams+%26+Wilkins%22">Lippincott Williams & Wilkins </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>0372354 <i>Publication Model: </i>Print <i>Cited Medium: </i>Internet <i>ISSN: </i>1528-1140 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2200034932%22">00034932 </searchLink><i>NLM ISO Abbreviation: </i>Ann Surg <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=34183517 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1097/SLA.0000000000005026 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 481 Titles: – TitleFull: Molecular Genomic Assessment Using a Blood-based mRNA Signature (NETest) is Cost-effective and Predicts Neuroendocrine Tumor Recurrence With 94% Accuracy. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Modlin IM – PersonEntity: Name: NameFull: Kidd M – PersonEntity: Name: NameFull: Frilling A – PersonEntity: Name: NameFull: Falconi M – PersonEntity: Name: NameFull: Filosso PL – PersonEntity: Name: NameFull: Malczewska A – PersonEntity: Name: NameFull: Kitz A IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: 2021 Sep 01 Type: published Y: 2021 Identifiers: – Type: issn-electronic Value: 1528-1140 Numbering: – Type: volume Value: 274 – Type: issue Value: 3 Titles: – TitleFull: Annals of surgery Type: main |
| ResultId | 1 |
