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LIBRIS Formathandbok  (Information om MARC21)
FältnamnIndikatorerMetadata
00004287naa a2200757 4500
001oai:DiVA.org:uu-135964
003SwePub
008101209s2010 | |||||||||||000 ||eng|
024a https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-1359642 URI
024a https://doi.org/10.1002/ajmg.a.334932 DOI
040 a (SwePub)uu
041 a engb eng
042 9 SwePub
072 7a ref2 swepub-contenttype
072 7a art2 swepub-publicationtype
100a Leoncini, Emanuele4 aut
2451 0a How Valid Are the Rates of Down Syndrome Internationally? :b Findings from the International Clearinghouse for Birth Defects Surveillance and Research
264 c 2010-06-03
264 1b Wiley,c 2010
338 a print2 rdacarrier
520 a Rates of Down syndrome (DS) show considerable international variation, but a systematic assessment of this variation is lacking. The goal of this study was to develop and test a method to assess the validity of DS rates in surveillance programs, as an indicator of quality of ascertainment. The proposed method compares the observed number of cases with DS (livebirths plus elective pregnancy terminations, adjusted for spontaneous fetal losses that would have occurred if the pregnancy had been allowed to continue) in each single year of maternal age, with the expected number of cases based on the best-published data on rates by year of maternal age. To test this method we used data from birth years 2000 to 2005 from 32 surveillance programs of the International Clearinghouse for Birth Defects Surveillance and Research. We computed the adjusted observed versus expected ratio (aOE) of DS birth prevalence among women 25-44 years old. The aOE ratio was close to unity in 13 programs (the 95% confidence interval included 1), above 1 in 2 programs and below 1 in 18 programs (P < 0.05). These findings suggest that DS rates internationally can be evaluated simply and systematically, and underscores how adjusting for spontaneous fetal loss is crucial and feasible. The aOE ratio can help better interpret and compare the reported rates, measure the degree of under- or over-registration, and promote quality improvement in surveillance programs that will ultimately provide better data for research, service planning, and public health programs.
653 a Down syndrome
653 a epidemiology
653 a prevalence
653 a validity
653 a registries
653 a MEDICINE
653 a MEDICIN
700a Botto, Lorenzo D.4 aut
700a Cocchi, Guido4 aut
700a Annerén, Göranu Uppsala universitet,Institutionen för genetik och patologi4 aut0 (Swepub:uu)goraanne
700a Bower, Carol4 aut
700a Halliday, Jane4 aut
700a Amar, Emmanuelle4 aut
700a Bakker, Marian K.4 aut
700a Bianca, Sebastiano4 aut
700a Canessa Tapia, Maria Aurora4 aut
700a Castilla, Eduardo E.4 aut
700a Csaky-Szunyogh, Melinda4 aut
700a Dastgiri, Saeed4 aut
700a Feldkamp, Marcia L.4 aut
700a Gatt, Miriam4 aut
700a Hirahara, Fumiki4 aut
700a Landau, Danielle4 aut
700a Lowry, R. Brian4 aut
700a Marengo, Lisa4 aut
700a McDonnell, Robert4 aut
700a Mathew, Triphti M.4 aut
700a Morgan, Margery4 aut
700a Mutchinick, Osvaldo M.4 aut
700a Pierini, Anna4 aut
700a Poetzsch, Simone4 aut
700a Ritvanen, Annukka4 aut
700a Scarano, Gioacchino4 aut
700a Siffel, Csaba4 aut
700a Sipek, Antoninu Uppsala universitet,Institutionen för genetik och patologi4 aut
700a Szabova, Elena4 aut
700a Tagliabue, Giovanna4 aut
700a Vollset, Stein Emil4 aut
700a Wertelecki, Wladimir4 aut
700a Zhuchenko, Ludmila4 aut
700a Mastroiacovo, Pierpaolo4 aut
710a Uppsala universitetb Institutionen för genetik och patologi4 org
773t American Journal of Medical Genetics, Part Ad : Wileyg 152A:7, s. 1670-1680q 152A:7<1670-1680x 1552-4825x 1552-4833
8564 8u https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-135964
8564 8u https://doi.org/10.1002/ajmg.a.33493

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