FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4384663217> ?p ?o ?g. }

• W4384663217 abstract "Assisted reproductive technology (ART) has brought good news to infertile patients, but how to improve the pregnancy outcome of poor ovarian response (POR) patients is still a serious challenge and the scientific evidence of some adjuvant therapies remains controversial.Based on previous evidence, the purpose of this systematic review and network meta-analysis was to evaluate the effects of DHEA, CoQ10, GH and TEAS on pregnancy outcomes in POR patients undergoing in vitro fertilization and embryo transplantation (IVF-ET). In addition, we aimed to determine the current optimal adjuvant treatment strategies for POR.PubMed, Embase, The Cochrane Library and four databases in China (CNKI, Wanfang, VIP, SinoMed) were systematically searched up to July 30, 2022, with no restrictions on language. We included randomized controlled trials (RCTs) of adjuvant treatment strategies (DHEA, CoQ10, GH and TEAS) before IVF-ET to improve pregnancy outcomes in POR patients, while the control group received a controlled ovarian stimulation (COS) regimen only. This study was reported in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). The surface under the cumulative ranking curve (SUCRA) was used to provide a pooled measure of cumulative ranking for each outcome.Sixteen RCTs (2323 women) with POR defined using the Bologna criteria were included in the network meta-analysis. Compared with the control group, CoQ10 (OR 2.22, 95% CI: 1.05 to 4.71) and DHEA (OR 1.92, 95% CI: 1.16 to 3.16) had obvious advantages in improving the clinical pregnancy rate. CoQ10 was the best in improving the live birth rate (OR 2.36, 95% CI: 1.07 to 5.38). DHEA increased the embryo implantation rate (OR 2.80, 95%CI: 1.41 to 5.57) and the high-quality embryo rate (OR 2.01, 95% CI: 1.07 to 3.78) and number of oocytes retrieved (WMD 1.63, 95% CI: 0.34 to 2.92) showed a greater advantage, with GH in second place. Several adjuvant treatment strategies had no significant effect on reducing the cycle canceling rate compared with the control group. TEAS was the least effective of the four adjuvant treatments in most pooled results, but the overall effect appeared to be better than that of the control group.Compared with COS regimen, the adjuvant use of CoQ10, DHEA and GH before IVF may have a better clinical effect on the pregnancy outcome of POR patients. TEAS needs careful consideration in improving the clinical pregnancy rate. Future large-scale RCTs with direct comparisons are needed to validate or update this conclusion.PROSPERO CRD42022304723." @default.
• W4384663217 created "2023-07-20" @default.
• W4384663217 creator A5000948387 @default.
• W4384663217 creator A5014029292 @default.
• W4384663217 creator A5035535556 @default.
• W4384663217 creator A5041335832 @default.
• W4384663217 creator A5048816353 @default.
• W4384663217 creator A5062542913 @default.
• W4384663217 creator A5087352334 @default.
• W4384663217 date "2023-07-18" @default.
• W4384663217 modified "2023-09-24" @default.
• W4384663217 title "TEAS, DHEA, CoQ10, and GH for poor ovarian response undergoing IVF-ET: a systematic review and network meta-analysis" @default.
• W4384663217 cites W1591417372 @default.
• W4384663217 cites W1670654013 @default.
• W4384663217 cites W1715007658 @default.
• W4384663217 cites W1924114680 @default.
• W4384663217 cites W1943723033 @default.
• W4384663217 cites W1966579808 @default.
• W4384663217 cites W1974588053 @default.
• W4384663217 cites W1996561486 @default.
• W4384663217 cites W1997139076 @default.
• W4384663217 cites W2002453108 @default.
• W4384663217 cites W2003333177 @default.
• W4384663217 cites W2024737544 @default.
• W4384663217 cites W2035042809 @default.
• W4384663217 cites W2045467403 @default.
• W4384663217 cites W2048720395 @default.
• W4384663217 cites W2055284160 @default.
• W4384663217 cites W2057824358 @default.
• W4384663217 cites W2061107904 @default.
• W4384663217 cites W2096723253 @default.
• W4384663217 cites W2100844417 @default.
• W4384663217 cites W2108372662 @default.
• W4384663217 cites W2108861434 @default.
• W4384663217 cites W2112975446 @default.
• W4384663217 cites W2115798190 @default.
• W4384663217 cites W2116178781 @default.
• W4384663217 cites W2125600277 @default.
• W4384663217 cites W2129821518 @default.
• W4384663217 cites W2136631172 @default.
• W4384663217 cites W2137118345 @default.
• W4384663217 cites W2139193694 @default.
• W4384663217 cites W2143228585 @default.
• W4384663217 cites W2154078869 @default.
• W4384663217 cites W2158113426 @default.
• W4384663217 cites W2193621936 @default.
• W4384663217 cites W2272729121 @default.
• W4384663217 cites W2276835199 @default.
• W4384663217 cites W2289008818 @default.
• W4384663217 cites W2341775459 @default.
• W4384663217 cites W2347038159 @default.
• W4384663217 cites W2400433712 @default.
• W4384663217 cites W2561578790 @default.
• W4384663217 cites W2606830626 @default.
• W4384663217 cites W2762952160 @default.
• W4384663217 cites W2779277684 @default.
• W4384663217 cites W2803652976 @default.
• W4384663217 cites W2883528578 @default.
• W4384663217 cites W2895242080 @default.
• W4384663217 cites W2947341544 @default.
• W4384663217 cites W2959718820 @default.
• W4384663217 cites W2969061073 @default.
• W4384663217 cites W2971381912 @default.
• W4384663217 cites W3006358306 @default.
• W4384663217 cites W3035611847 @default.
• W4384663217 cites W3046191490 @default.
• W4384663217 cites W3047740668 @default.
• W4384663217 cites W3083511853 @default.
• W4384663217 cites W3088577010 @default.
• W4384663217 cites W3118412332 @default.
• W4384663217 cites W3125149712 @default.
• W4384663217 cites W3148962211 @default.
• W4384663217 cites W3196995575 @default.
• W4384663217 cites W4200627476 @default.
• W4384663217 cites W4226414168 @default.
• W4384663217 cites W4327521408 @default.
• W4384663217 doi "https://doi.org/10.1186/s12958-023-01119-0" @default.
• W4384663217 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/37464357" @default.
• W4384663217 hasPublicationYear "2023" @default.
• W4384663217 type Work @default.
• W4384663217 citedByCount "0" @default.
• W4384663217 crossrefType "journal-article" @default.
• W4384663217 hasAuthorship W4384663217A5000948387 @default.
• W4384663217 hasAuthorship W4384663217A5014029292 @default.
• W4384663217 hasAuthorship W4384663217A5035535556 @default.
• W4384663217 hasAuthorship W4384663217A5041335832 @default.
• W4384663217 hasAuthorship W4384663217A5048816353 @default.
• W4384663217 hasAuthorship W4384663217A5062542913 @default.
• W4384663217 hasAuthorship W4384663217A5087352334 @default.
• W4384663217 hasBestOaLocation W43846632171 @default.
• W4384663217 hasConcept C126322002 @default.
• W4384663217 hasConcept C168563851 @default.
• W4384663217 hasConcept C189708586 @default.
• W4384663217 hasConcept C2776478404 @default.
• W4384663217 hasConcept C2776537878 @default.
• W4384663217 hasConcept C2777688143 @default.
• W4384663217 hasConcept C2779234561 @default.
• W4384663217 hasConcept C2779245376 @default.
• W4384663217 hasConcept C2779473830 @default.
• W4384663217 hasConcept C29456083 @default.

• next