Placental growth factor (PLGF)-based testing to help diagnose suspected pre-eclampsia: a systematic review and economic evaluation.
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| Title: | Placental growth factor (PLGF)-based testing to help diagnose suspected pre-eclampsia: a systematic review and economic evaluation. |
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| Authors: | Shepherd J; Southampton Health Technology Assessments Centre (SHTAC), University of Southampton, Southampton, UK., Frampton G; Southampton Health Technology Assessments Centre (SHTAC), University of Southampton, Southampton, UK., Kearns B; Decision Support Unit, Sheffield Centre for Health and Related Research (ScHARR), University of Sheffield, Sheffield, UK., Pickett K; Southampton Health Technology Assessments Centre (SHTAC), University of Southampton, Southampton, UK., Souto-Ribeiro I; Southampton Health Technology Assessments Centre (SHTAC), University of Southampton, Southampton, UK., Wailoo AJ; Decision Support Unit, Sheffield Centre for Health and Related Research (ScHARR), University of Sheffield, Sheffield, UK., Woods L; Southampton Health Technology Assessments Centre (SHTAC), University of Southampton, Southampton, UK., Cooper K; Southampton Health Technology Assessments Centre (SHTAC), University of Southampton, Southampton, UK., Hazell L; Southampton Health Technology Assessments Centre (SHTAC), University of Southampton, Southampton, UK., Pandor A; Decision Support Unit, Sheffield Centre for Health and Related Research (ScHARR), University of Sheffield, Sheffield, UK., Scott DA; Southampton Health Technology Assessments Centre (SHTAC), University of Southampton, Southampton, UK. |
| Source: | Health technology assessment (Winchester, England) [Health Technol Assess] 2026 Jun; Vol. 30 (54), pp. 1-160. |
| Publication Type: | Journal Article; Systematic Review; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: NIHR Journals Library Country of Publication: England NLM ID: 9706284 Publication Model: Print Cited Medium: Internet ISSN: 2046-4924 (Electronic) Linking ISSN: 13665278 NLM ISO Abbreviation: Health Technol Assess Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2046-4924 |
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| DOI: | 10.3310/HDST9104 |
