FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2102585592> ?p ?o ?g. }

• W2102585592 endingPage "3340" @default.
• W2102585592 startingPage "3332" @default.
• W2102585592 abstract "Existing biochemical tests for polycystic ovary syndrome (PCOS) have poor sensitivity and specificity. Many women with PCOS have high anti-Müllerian hormone (AMH) concentrations; thus, this may be a useful addition to the diagnostic criteria.A systematic literature review was performed to assess the true accuracy of AMH in the prediction of PCOS and to determine the optimal diagnostic threshold.Published and gray literature were searched for all years until January 2013.Observational studies defining PCOS according to the Rotterdam criteria and assessing the value of AMH in diagnosing PCOS were selected. Ten studies of the initial 314 hits reporting AMH values in the diagnosis of PCOS were included in the meta-analysis and the construction of the summary receiver-operating characteristic curve. Four studies that plotted individual AMH serum levels of women with PCOS and controls on graphs were selected for individual data extraction.Two researchers independently assessed the abstracts resulted from the initial search against the inclusion criteria, graded the papers for selection and verification biases, and selected the papers that assessed the value of AMH in diagnosing PCOS. Data were extracted from 4 studies with the plotted individual data on graphs with the help of computer software.The meta-analysis of the extracted data demonstrated the specificity and sensitivity in diagnosing PCOS in the symptomatic women of 79.4% and 82.8%, respectively, for a cutoff value of AMH of 4.7 ng/mL. The area under the curve was 0.87 (95% confidence interval 0.83-0.92), identical with the area under the curve of 0.87 for the summary receiver-operating characteristic curve involving 10 separate studies.AMH may be a useful initial diagnostic test for PCOS subject to validation in prospective population cohorts." @default.
• W2102585592 created "2016-06-24" @default.
• W2102585592 creator A5020022959 @default.
• W2102585592 creator A5028516152 @default.
• W2102585592 creator A5066371670 @default.
• W2102585592 creator A5067793495 @default.
• W2102585592 date "2013-08-01" @default.
• W2102585592 modified "2023-10-12" @default.
• W2102585592 title "Can Anti-Müllerian Hormone Predict the Diagnosis of Polycystic Ovary Syndrome? A Systematic Review and Meta-Analysis of Extracted Data" @default.
• W2102585592 cites W1484424596 @default.
• W2102585592 cites W1577097214 @default.
• W2102585592 cites W1841274231 @default.
• W2102585592 cites W1974835134 @default.
• W2102585592 cites W1981966672 @default.
• W2102585592 cites W1987022306 @default.
• W2102585592 cites W1987412849 @default.
• W2102585592 cites W1994489910 @default.
• W2102585592 cites W2005527513 @default.
• W2102585592 cites W2005627418 @default.
• W2102585592 cites W2012876499 @default.
• W2102585592 cites W2019751749 @default.
• W2102585592 cites W2021746604 @default.
• W2102585592 cites W2022153701 @default.
• W2102585592 cites W2032920408 @default.
• W2102585592 cites W2035217519 @default.
• W2102585592 cites W2039487478 @default.
• W2102585592 cites W2039741257 @default.
• W2102585592 cites W2040982159 @default.
• W2102585592 cites W2043815784 @default.
• W2102585592 cites W2056235112 @default.
• W2102585592 cites W2059828056 @default.
• W2102585592 cites W2068954468 @default.
• W2102585592 cites W2071355630 @default.
• W2102585592 cites W2082621216 @default.
• W2102585592 cites W2083036114 @default.
• W2102585592 cites W2083970609 @default.
• W2102585592 cites W2095657143 @default.
• W2102585592 cites W2097540678 @default.
• W2102585592 cites W2098141312 @default.
• W2102585592 cites W2099586602 @default.
• W2102585592 cites W2101095472 @default.
• W2102585592 cites W2101316067 @default.
• W2102585592 cites W2102953353 @default.
• W2102585592 cites W2111624162 @default.
• W2102585592 cites W2112721406 @default.
• W2102585592 cites W2112945475 @default.
• W2102585592 cites W2113009004 @default.
• W2102585592 cites W2114250987 @default.
• W2102585592 cites W2114995560 @default.
• W2102585592 cites W2117364932 @default.
• W2102585592 cites W2117990801 @default.
• W2102585592 cites W2119781755 @default.
• W2102585592 cites W2121877521 @default.
• W2102585592 cites W2122813341 @default.
• W2102585592 cites W2126453690 @default.
• W2102585592 cites W2127511547 @default.
• W2102585592 cites W2132421508 @default.
• W2102585592 cites W2134989837 @default.
• W2102585592 cites W2138354969 @default.
• W2102585592 cites W2139915659 @default.
• W2102585592 cites W2140373398 @default.
• W2102585592 cites W2143821520 @default.
• W2102585592 cites W2144420447 @default.
• W2102585592 cites W2144594355 @default.
• W2102585592 cites W2147639747 @default.
• W2102585592 cites W2148070806 @default.
• W2102585592 cites W2149345691 @default.
• W2102585592 cites W2153731002 @default.
• W2102585592 cites W2154523344 @default.
• W2102585592 cites W2155153702 @default.
• W2102585592 cites W2161444219 @default.
• W2102585592 cites W2163734837 @default.
• W2102585592 cites W2168694309 @default.
• W2102585592 cites W2169949390 @default.
• W2102585592 cites W2186218348 @default.
• W2102585592 cites W2294856982 @default.
• W2102585592 doi "https://doi.org/10.1210/jc.2013-1393" @default.
• W2102585592 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/23775353" @default.
• W2102585592 hasPublicationYear "2013" @default.
• W2102585592 type Work @default.
• W2102585592 sameAs 2102585592 @default.
• W2102585592 citedByCount "218" @default.
• W2102585592 countsByYear W21025855922012 @default.
• W2102585592 countsByYear W21025855922014 @default.
• W2102585592 countsByYear W21025855922015 @default.
• W2102585592 countsByYear W21025855922016 @default.
• W2102585592 countsByYear W21025855922017 @default.
• W2102585592 countsByYear W21025855922018 @default.
• W2102585592 countsByYear W21025855922019 @default.
• W2102585592 countsByYear W21025855922020 @default.
• W2102585592 countsByYear W21025855922021 @default.
• W2102585592 countsByYear W21025855922022 @default.
• W2102585592 countsByYear W21025855922023 @default.
• W2102585592 crossrefType "journal-article" @default.
• W2102585592 hasAuthorship W2102585592A5020022959 @default.
• W2102585592 hasAuthorship W2102585592A5028516152 @default.
• W2102585592 hasAuthorship W2102585592A5066371670 @default.
• W2102585592 hasAuthorship W2102585592A5067793495 @default.

• next