Now showing 1 - 10 of 57
  • 2013Journal Article
    [["dc.bibliographiccitation.firstpage","318"],["dc.bibliographiccitation.issue","4"],["dc.bibliographiccitation.journal","Geburtshilfe und Frauenheilkunde"],["dc.bibliographiccitation.lastpage","323"],["dc.bibliographiccitation.volume","73"],["dc.contributor.author","Voigt, M."],["dc.contributor.author","Schild, R. L."],["dc.contributor.author","Mewitz, M."],["dc.contributor.author","Schneider, K. T. M."],["dc.contributor.author","Schnabel, Dirk"],["dc.contributor.author","Hesse, Volker"],["dc.contributor.author","Straube, Sebastian"],["dc.date.accessioned","2018-11-07T09:26:17Z"],["dc.date.available","2018-11-07T09:26:17Z"],["dc.date.issued","2013"],["dc.description.abstract","Background and Aim: The classification of weight gain during pregnancy and the somatic classification of neonates according to birth weight and duration of pregnancy can be done using percentile values. We aimed to compare such classifications using percentiles of the overall study population with classifications using percentiles that were calculated taking account of maternal height and weight. Material and Methods: Using data from the German Perinatal Survey (1995-2000, over 2.2 million singleton pregnancies) we classified weight gain during pregnancy as low (< 10th percentile), high (> 90th percentile), or medium (10th-90th percentile). Neonates were classified by birth weight as small for gestational age (SGA, < 10th percentile), large for gestational age (LGA, > 90th percentile), or appropriate for gestational age (AGA, 10th-90th percentile). Classifications were performed for 12 groups of women and their neonates formed according to maternal height and weight, either with the percentiles calculated from the total study population or with group-specific percentiles. Results: Using percentiles of the total study population there was large variability between the 12 groups in the proportions with low and high weight gain and in the proportions of SGA and LGA neonates. The variability was much lower when group-specific percentiles were used. Conclusions: Classifications of maternal weight gain during pregnancy and birth weight differ substantially, depending on whether percentiles calculated from the total study population or group-specific percentiles are used. The impact of using percentiles that take account of maternal anthropometric parameters for the medical care and health of neonates needs to be elucidated in future research."],["dc.identifier.doi","10.1055/s-0032-1328436"],["dc.identifier.isi","000318908700009"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/30267"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Georg Thieme Verlag Kg"],["dc.relation.issn","1438-8804"],["dc.relation.issn","0016-5751"],["dc.title","Maternal Weight Gain during Pregnancy and Somatic Classification of Neonates According to Birth Weight and Duration of Pregnancy Taking Account of Maternal Body Weight and Height"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]
    Details DOI WOS
  • 2010Journal Article
    [["dc.bibliographiccitation.firstpage","425"],["dc.bibliographiccitation.issue","4"],["dc.bibliographiccitation.journal","Journal of Perinatal Medicine"],["dc.bibliographiccitation.lastpage","430"],["dc.bibliographiccitation.volume","38"],["dc.contributor.author","Voigt, Manfred"],["dc.contributor.author","Rochow, Niels"],["dc.contributor.author","Jaehrig, Klaus"],["dc.contributor.author","Straube, Sebastian"],["dc.contributor.author","Hufnagel, Sven"],["dc.contributor.author","Jorch, Gerhard"],["dc.date.accessioned","2018-11-07T08:41:50Z"],["dc.date.available","2018-11-07T08:41:50Z"],["dc.date.issued","2010"],["dc.description.abstract","Neonatal anthropometric data reflect intrauterine development and correlate with postnatal outcome. Therefore, classification of neonates by body dimensions, using gestational age-adjusted population percentiles, is clinically practiced. However, neonatal anthropometric variables are also influenced by maternal constitution and the extent of this influence is currently unknown. We analyzed small for gestational age (SGA) and large for gestational age (LGA) rates according to maternal height and weight. We used data of about 2.3 million singleton pregnancies from the German Perinatal Survey of 1995-2000. A close correlation between maternal and neonatal anthropometric data was found; SGA rates were inversely proportional and LGA rates were directly proportional to maternal height, weight, and body mass index. Neonates of small and light mothers (<155 cm, <50 kg) had, according to the presently used classification scheme, an SGA rate of 25.3% and an LGA rate of 1.7%, respectively. Newborns to tall and heavy women (>179 cm, 89 kg) had a much lower SGA rate (3.1%) and a much higher LGA rate (30.6%). Neonatal body length and head circumference depended on maternal stature in a similar way. Some neonates who are \"appropriate'' for their gestational age in that they achieve their genetically determined growth potential are therefore apparently misclassified as SGA or LGA."],["dc.identifier.doi","10.1515/JPM.2010.059"],["dc.identifier.isi","000279520400012"],["dc.identifier.pmid","20443667"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/19556"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Walter De Gruyter & Co"],["dc.relation.issn","0300-5577"],["dc.title","Dependence of neonatal small and large for gestational age rates on maternal height and weight - an analysis of the German Perinatal Survey"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]
    Details DOI PMID PMC WOS
  • 2010Journal Article
    [["dc.bibliographiccitation.firstpage","161"],["dc.bibliographiccitation.issue","4"],["dc.bibliographiccitation.journal","Zeitschrift für Geburtshilfe und Neonatologie"],["dc.bibliographiccitation.lastpage","166"],["dc.bibliographiccitation.volume","214"],["dc.contributor.author","Voigt, M."],["dc.contributor.author","Briese, Volker"],["dc.contributor.author","Carstensen, M."],["dc.contributor.author","Wolterdorf, F."],["dc.contributor.author","Hallier, Ernst"],["dc.contributor.author","Straube, Sebastian"],["dc.date.accessioned","2018-11-07T08:41:15Z"],["dc.date.available","2018-11-07T08:41:15Z"],["dc.date.issued","2010"],["dc.description.abstract","Aim: A description of preterm birth rates - specified according to maternal age - after the exclusion of anamnestic risk factors. Material and Methods: Data for this study were taken from the German Perinatal Survey of 1998-2000. We analysed data from 492 576 single ton pregnancies and determined preterm birth rates according to maternal age after a stepwise exclusion of anamnestic risk factors. Results: There was a U-shaped dependence of preterm birth rates on maternal age. The low est preterm birth rate (without excluding women with anamnestic risk factors) was 5.6 % at a maternal age of 29 years. The prevalence of some anamnestic risk factors for preterm birth, such as previous stillbirths, spontaneous and induced abortions, and ectopic pregnancies, increased with maternal age. Excluding women with anam nestic risk factors lowered the preterm birth rates substantially. The lowest preterm birth rates were found in women with one previous live birth, without any anamnestic risk factors, and with a body mass index (BMI) of 25.00-29.99. With these restrictions, we found preterm birth rates of under 2 % for women aged 24-31 years. Conclusions: The magnitude and age-dependence of the preterm birth rate can to some extent be explained with the age-dependent prevalence of anamnestic risk factors for preterm birth. Excluding women with anamnestic risk factors from our study population lowered the preterm birth rates substantially."],["dc.identifier.doi","10.1055/s-0030-1254140"],["dc.identifier.isi","000208514200005"],["dc.identifier.pmid","20806151"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/19425"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Georg Thieme Verlag Kg"],["dc.relation.issn","0948-2393"],["dc.title","Age-Specific Preterm Birth Rates after Exclusion of Risk Factors - An Analysis of the German Perinatal Survey"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]
    Details DOI PMID PMC WOS
  • 2010Review
    [["dc.bibliographiccitation.firstpage","386"],["dc.bibliographiccitation.issue","3"],["dc.bibliographiccitation.journal","Pain"],["dc.bibliographiccitation.lastpage","389"],["dc.bibliographiccitation.volume","150"],["dc.contributor.author","Moore, R. Andrew"],["dc.contributor.author","Eccleston, Christopher"],["dc.contributor.author","Derry, Sheena"],["dc.contributor.author","Wiffen, Phillip J."],["dc.contributor.author","Bell, Rae F."],["dc.contributor.author","Straube, Sebastian"],["dc.contributor.author","McQuay, Henry J."],["dc.date.accessioned","2018-11-07T08:40:04Z"],["dc.date.available","2018-11-07T08:40:04Z"],["dc.date.issued","2010"],["dc.identifier.doi","10.1016/j.pain.2010.05.011"],["dc.identifier.isi","000281675000008"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/19142"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Elsevier Science Bv"],["dc.relation.issn","0304-3959"],["dc.title","\"Evidence\" in chronic pain - establishing best practice in the reporting of systematic reviews"],["dc.type","review"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]
    Details DOI WOS
  • 2010Journal Article
    [["dc.bibliographiccitation.firstpage","229"],["dc.bibliographiccitation.issue","6"],["dc.bibliographiccitation.journal","Zeitschrift für Geburtshilfe und Neonatologie"],["dc.bibliographiccitation.lastpage","233"],["dc.bibliographiccitation.volume","214"],["dc.contributor.author","Voigt, M."],["dc.contributor.author","Straube, Sebastian"],["dc.contributor.author","Gulashvili, A."],["dc.contributor.author","Schild, R. L."],["dc.contributor.author","Hallier, Ernst"],["dc.contributor.author","Briese, Volker"],["dc.date.accessioned","2018-11-07T08:36:36Z"],["dc.date.available","2018-11-07T08:36:36Z"],["dc.date.issued","2010"],["dc.description.abstract","Aim: The aim of this study was to compare neonatal outcomes in primiparous women with and without previous extrauterine pregnancies. Material and Methods: We analysed data from 207 171 singleton pregnancies in primiparous women from the German Perinatal Survey of 1998-2000. To minimise confounding factors, we only included women without previous miscarriages or terminations of pregnancy and performed comparisons separately for 3 maternal age groups as well as for all cases together. Results: Women with and without previous extrauterine pregnancies were of comparable height and weight but women with previous extrauterine pregnancies were on average older (29.2 vs. 26.6 years). The preterm birth rate was higher in women with previous extrauterine pregnancies (9.4 % vs. 6.8 %, odds ratio 1.42 [95 % confidence interval 1.18-1.69], p < 0.001; analysing all cases together) as was the rate of neonates with a low birth weight <= 2 499 g (7.9 % vs. 5.7 %, odds ratio 1.43 [95 % confidence interval 1.17-1.72], p > 0.001; analysing all cases together). The proportions of neonates classified as small, appropriate, or large for gestational age were rather similar in women with and without previous extrauterine pregnancies; likewise Apgar scores differed only slightly, although for some comparisons statistical significance was reached in spite of the small magnitude of differences. Conclusions: Previous extrauterine pregnancies are associated with higher rates of preterm birth and infants of low birth weight in subsequent pregnancies."],["dc.identifier.doi","10.1055/s-0030-1255026"],["dc.identifier.isi","000208514500002"],["dc.identifier.pmid","21207322"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/18352"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Georg Thieme Verlag Kg"],["dc.relation.issn","0948-2393"],["dc.title","Previous Extrauterine Pregnancies and Neonatal Outcomes in Primiparous Women - An Analysis of the German Perinatal Survey"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]
    Details DOI PMID PMC WOS
  • 2011Journal Article
    [["dc.bibliographiccitation.firstpage","291"],["dc.bibliographiccitation.issue","3"],["dc.bibliographiccitation.journal","Journal of Perinatal Medicine"],["dc.bibliographiccitation.lastpage","297"],["dc.bibliographiccitation.volume","39"],["dc.contributor.author","Voigt, Manfred"],["dc.contributor.author","Zels, Krisztina"],["dc.contributor.author","Guthmann, Florian"],["dc.contributor.author","Hesse, Volker"],["dc.contributor.author","Goerlich, Yvonne"],["dc.contributor.author","Straube, Sebastian"],["dc.date.accessioned","2018-11-07T08:56:27Z"],["dc.date.available","2018-11-07T08:56:27Z"],["dc.date.issued","2011"],["dc.description.abstract","We defined neonates as small, appropriate, or large for gestational age (SGA, AGA, LGA) based on birth weight, length, and head circumference. We analyzed the effects on the somatic classification of maternal body mass index (BMI) (< 18.5, 18.5-24.99, 25.0-29.99, >= 30) and smoking during pregnancy (0, 1-7, 8-14, >= 15 cigarettes daily). Data were from the German Perinatal Survey (1998-2000; 433,669 cases). The following refers to the classification by birth weight. In the normal maternal weight population SGA rates increased with cigarette consumption: 9.8%, 17.8%, 21.6%, and 25.4% for non-smokers, and smokers of 1-7, 8-14, and >= 15 cigarettes daily, respectively. In non-smoking underweight women the SGA rate was 17.4%. In underweight smokers of >= 15 cigarettes daily the SGA rate was 38.5% [odds ratio 5.77, 95% confidence interval 5.10-6.53, compared with normal weight non-smokers]. In the normal maternal weight population, LGA rates were 9.9%, 5.3%, 4.6%, and 3.5% for non-smokers, and smokers of 1-7, 8-14, and >= 15 cigarettes daily, respectively. In the obese, LGA rates were 20.9% (non-smokers) and 11.4% (>= 15 cigarettes). Similar findings were obtained for the somatic classifications based on birth length and head circumference. Results for the various combinations of maternal BMI and smoking status in the three classification systems are described. Our findings may assist in individualized risk assessment for SGA and LGA births."],["dc.identifier.doi","10.1515/JPM.2011.017"],["dc.identifier.isi","000290432900012"],["dc.identifier.pmid","21526885"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/23159"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Walter De Gruyter & Co"],["dc.relation.issn","0300-5577"],["dc.title","Somatic classification of neonates based on birth weight, length, and head circumference: quantification of the effects of maternal BMI and smoking"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]
    Details DOI PMID PMC WOS
  • 2013Review
    [["dc.bibliographiccitation.firstpage","1187"],["dc.bibliographiccitation.issue","10"],["dc.bibliographiccitation.journal","MINERVA ANESTESIOLOGICA"],["dc.bibliographiccitation.lastpage","1197"],["dc.bibliographiccitation.volume","79"],["dc.contributor.author","Heesen, M."],["dc.contributor.author","Kloehr, Sven"],["dc.contributor.author","Rossaint, Rolf"],["dc.contributor.author","van De Velde, M."],["dc.contributor.author","Straube, Sebastian"],["dc.date.accessioned","2018-11-07T09:18:58Z"],["dc.date.available","2018-11-07T09:18:58Z"],["dc.date.issued","2013"],["dc.description.abstract","Background. Accidental dural puncture (ADP) after epidural analgesia (EDA) for labor pain may cause severe postdural puncture headache (PDPH) and may prolong hospital stay. We aimed to identify techniques that reduce the incidence of ADP. Methods. A systematic literature search was performed. Data on the occurrence of ADP and PDPH were extracted and subjected to meta-analysis. The random effects model was applied. Risk ratios (RR) and 95% confidence intervals (CI) were calculated. Results. We identified 54 articles, 13 non-randomized controlled trials and 41 randomized controlled trials (RCTs), reporting on a total of 98,869 patients. In non-RCTs, the use of liquid for the identification of the epidural space was associated with a reduced risk of ADP compared to the use of air (RR 0.55, 95% CI 0.39 to 0.79, P=0.001). In our analysis of RCTs this comparison did not produce a significant difference. No effect was found for combined spinal-epidural analgesia, maternal position, type of the catheter, needle size, bevel direction, operator experience, or use of ultrasound. Conclusion. A reduction of the risk of ADP was found for liquid use for the loss of resistance, but only in lower quality studies. Based on current evidence, we cannot make a recommendation regarding any of the techniques under study. Therefore, clinicians should focus on measures to prevent or treat PDPH once ADP has occurred."],["dc.identifier.isi","000327808100015"],["dc.identifier.pmid","23857441"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/28527"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Edizioni Minerva Medica"],["dc.relation.issn","1827-1596"],["dc.relation.issn","0375-9393"],["dc.title","Can the incidence of accidental dural puncture in laboring women be reduced? A systematic review and meta-analysis"],["dc.type","review"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]
    Details PMID PMC WOS
  • 2010Journal Article
    [["dc.bibliographiccitation.firstpage","243"],["dc.bibliographiccitation.issue","6"],["dc.bibliographiccitation.journal","Zeitschrift für Geburtshilfe und Neonatologie"],["dc.bibliographiccitation.lastpage","248"],["dc.bibliographiccitation.volume","214"],["dc.contributor.author","Olbertz, Dirk"],["dc.contributor.author","Voigt, M."],["dc.contributor.author","Straube, Sebastian"],["dc.contributor.author","Renz, I."],["dc.contributor.author","Steinbicker, V."],["dc.contributor.author","Poetzsch, Simone"],["dc.contributor.author","Briese, Volker"],["dc.date.accessioned","2018-11-07T08:36:36Z"],["dc.date.available","2018-11-07T08:36:36Z"],["dc.date.issued","2010"],["dc.description.abstract","Aim: We aimed to set-up a passive malformations registry for 2002-2004 for the German Federal State of Mecklenburg-Western Pomerania in order to estimate the prevalence of congenital malformations among live births, stillbirths, miscarriages, and induced abortions. Population and study design: Under the guidance of the working group \"Neonatology Mecklenburg-Vorpommern\" a standardised malformations record form modelled after the Mainz registry was developed and used to record malformations among live births, stillbirths, miscarriages, and induced abortions in all 21 obstetric departments in Mecklenburg-Western Pomerania between 2002 and 2004. We compared the population of neonates with malformations with a general population sample from the German Perinatal Survey of 1995 -1997. Results: There were 768 neonates with at least one major malformation among a total of 37 634 neonates in Mecklenburg-Western Pomerania; this means that the prevalence of major malformations was 203.53 per 10 000 neonates. The prevalence of major malformations in liveborn infants was 178.61 per 10 000. The most common malformations in the total study population were ventricular septal defect (prevalence: 37.2 per 10 000), hydronephrosis (16.7 per 10 000), hypospadias (14.8 per 10 000), Down syndrome (10.1 per 10 000), and cleft lip and palate (9.0 per 10 000). Among the induced abortions the most common diagnoses were Down syndrome, anencephalus, Edwards syndrome, and congenital hydrocephalus. The preterm birth rate among the 637 liveborn and stillborn infants with malformations was 19.6%; 5.6% were born before 32 completed weeks of gestation. The small for gestational age rate for infants with malformations was 14.2% for girls and 14.5% for boys, thus increased compared with the general population sample (9.7%). Conclusions: Congenital malformations are important determinants of childhood morbidity and mortality. Malformation prevalence and types of malformations, along with morbidity and mortality, are important parameters in perinatal medicine. The establishment of active malformation registries is therefore an important task."],["dc.identifier.doi","10.1055/s-0030-1267187"],["dc.identifier.isi","000208514500005"],["dc.identifier.pmid","21207325"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/18353"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Georg Thieme Verlag Kg"],["dc.relation.issn","0948-2393"],["dc.title","Congenital Malformations - A Systematic Cohort Study from Mecklenburg-Western Pomerania (Germany)"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]
    Details DOI PMID PMC WOS
  • 2015Review
    [["dc.bibliographiccitation.firstpage","1496"],["dc.bibliographiccitation.issue","12"],["dc.bibliographiccitation.journal","Journal of Clinical Epidemiology"],["dc.bibliographiccitation.lastpage","1503"],["dc.bibliographiccitation.volume","68"],["dc.contributor.author","Straube, Sebastian"],["dc.contributor.author","Werny, Benedikt"],["dc.contributor.author","Friede, Tim"],["dc.date.accessioned","2018-11-07T09:48:21Z"],["dc.date.available","2018-11-07T09:48:21Z"],["dc.date.issued","2015"],["dc.description.abstract","Objectives: To investigate the reporting of study features of interest in abstracts and full texts of journal publications of crossover trials in chronic painful conditions. Study Design and Setting: Systematic review based on a MEDLINE (PubMed) search (January 1990-August 2014). Results: Ninety-eight publications on crossover studies with 3,513 study participants were eligible for inclusion. Double-blind status and randomized allocation to treatment groups are commonly reported in both abstracts and full texts (90 of 98 publications and 82 of 98 publications, respectively). Adverse events are reported in both abstract and full text in 49 of 98 publications and in the full text only in 44 of 98. A breakdown of results by treatment period is provided only in 23 of 98 publications, and if so, is reported only in the full text, never in the abstract. There is a time trend for the reporting of randomization in abstracts; it is more likely to be reported in recent studies (P = 0.0094). No time trends are detected in the reporting of double-blind status (P = 0.1087) and adverse events (P = 0.6084). Conclusion: The reporting of adverse events in the abstract and the reporting of results specified by crossover period in the full texts of journal publications on crossover pain trials should be improved. (C) 2015 Published by Elsevier Inc."],["dc.description.sponsorship","Daiichi Sankyo, Inc."],["dc.identifier.doi","10.1016/j.jclinepi.2015.04.006"],["dc.identifier.isi","000366542200015"],["dc.identifier.pmid","26008127"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/35283"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Elsevier Science Inc"],["dc.relation.issn","1878-5921"],["dc.relation.issn","0895-4356"],["dc.title","A systematic review identifies shortcomings in the reporting of crossover trials in chronic painful conditions"],["dc.type","review"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]
    Details DOI PMID PMC WOS
  • 2013Conference Abstract
    [["dc.bibliographiccitation.firstpage","498"],["dc.bibliographiccitation.issue","11"],["dc.bibliographiccitation.journal","Multiple Sclerosis Journal"],["dc.bibliographiccitation.lastpage","499"],["dc.bibliographiccitation.volume","19"],["dc.contributor.author","Roever, Christian"],["dc.contributor.author","Nicholas, R."],["dc.contributor.author","Steinvorth, S."],["dc.contributor.author","Straube, Sebastian"],["dc.contributor.author","Friede, Tim"],["dc.date.accessioned","2018-11-07T09:18:53Z"],["dc.date.available","2018-11-07T09:18:53Z"],["dc.date.issued","2013"],["dc.identifier.isi","000328751403128"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/28502"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Sage Publications Ltd"],["dc.publisher.place","London"],["dc.relation.conference","29th Congress of the European-Committee-for-Treatment-and-Research-in-Multiple-Sclerosis / 18th Annual Conference of Rehabilitation in MS"],["dc.relation.eventlocation","Copenhagen, DENMARK"],["dc.relation.issn","1477-0970"],["dc.relation.issn","1352-4585"],["dc.title","Comparison of disability scores and annualised relapse rates as trial outcomes in randomized, placebo controlled trials in relapsing multiple sclerosis: a systematic review"],["dc.type","conference_abstract"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]
    Details WOS