Clinical value of different anti-D immunoglobulin strategies for preventing Rh hemolytic disease of the fetus and newborn: A network meta-analysis

BackgroundSeveral anti-D immunoglobulin strategies exist for preventing Rh hemolytic disease of the fetus and newborn. This study systematically assessed the clinical value of those therapeutic strategies.MethodsThe Web of Science, PubMed, EMBASE, China National Knowledge Infrastructure (CNKI) and Wanfang databases were searched for eligible studies that evaluated the value of different anti-D immunoglobulin strategies in preventing maternal anti-D antibody sensitization. Combined odds ratios (ORs) and their 95% confidence intervals (CIs) were calculated. The network meta-analysis was conducted using Stata 14.2 and WinBUGS 1.4.3 software.ResultsTwenty-four original studies involving 64860 patients were included. Among all therapeutic measures, injecting 300 μg anti-D immunoglobulin at 28 and 34 gestational weeks (antenatal 5/E) appeared to be the most effective measure for preventing maternal antibody sensitization (surface under the cumulative ranking curve [SUCRA] = 96.8%), while a single injection at 28 gestational weeks (SUCRA = 89.2%) was the second most effective. Administering no injection or a placebo (SUCRA = 0.0%) was the least effective intervention measure.ConclusionAmong the therapeutic measures, antenatal 5/E appeared to be the best method for reducing the positive incidence of anti-D antibodies in the maternal serum; thus, it may be the most effective treatment for preventing fetal hemolytic disease.

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PID https://www.doi.org/10.1371/journal.pone.0230073
URL http://dx.doi.org/10.1371/journal.pone.0230073
URL https://figshare.com/articles/Clinical_value_of_different_anti-D_immunoglobulin_strategies_for_preventing_Rh_hemolytic_disease_of_the_fetus_and_newborn_A_network_meta-analysis/11975205
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Author Xie, Xiaohui
Author Fu, Qiurong
Author Bao, Ziwei
Author Zhang, Yi
Author Zhou, Dan
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Collected From figshare
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Publication Date 2020-01-01
Publisher Figshare
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Source https://science-innovation-policy.openaire.eu/search/dataset?datasetId=r37980778c78::1c511c94252e4ee87196fb79aaac816a
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Last Updated 27 December 2020, 12:49 (CET)
Created 27 December 2020, 12:49 (CET)