Biomaterial Database

[Incidence of ectromelia deformities in the Magdeburg region]. 1997

C Rösch, and H Straub, and S Kropf, and V Steinbicker

Monitoring-Zentrum zur Erfassung der Häufigkeit von Fehlbildungen und Anomalien, Medizinischen Fakultät, Otto-von-Guericke Universität Magdeburg.

Since there is no nationwide system and documentation of congenital malformations in Germany, local health authorities were not able to respond to the question of an increase in limb reduction defects occurring on the coast of Northern Germany. Previously, such an increase had been reported by the media in England in 1994. For limb reduction defects, the feasibility and efficiency of the so-called "Magdeburg-model" for monitoring congenital malformations is demonstrated. This model provides data on reduction defects for analysing regional (Magdeburg versus Magdeburg county) and temporal trends, and for classifying reduction defects. The data are based on a population of 214.901 births (lifebirths and stillbirths) and on the analysis of 64 cases with limb reduction defects over a 15-year period. In 1992-1994 in Magdeburg and Magdeburg county no increase of limb reduction defects and other indicator malformations were found.

UI	MeSH Term	Description	Entries
D007231	Infant, Newborn	An infant during the first 28 days after birth.	Neonate,Newborns,Infants, Newborn,Neonates,Newborn,Newborn Infant,Newborn Infants
D008297	Male		Males
D003430	Cross-Sectional Studies	Studies in which the presence or absence of disease or other health-related variables are determined in each member of the study population or in a representative sample at one particular time. This contrasts with LONGITUDINAL STUDIES which are followed over a period of time.	Disease Frequency Surveys,Prevalence Studies,Analysis, Cross-Sectional,Cross Sectional Analysis,Cross-Sectional Survey,Surveys, Disease Frequency,Analyses, Cross Sectional,Analyses, Cross-Sectional,Analysis, Cross Sectional,Cross Sectional Analyses,Cross Sectional Studies,Cross Sectional Survey,Cross-Sectional Analyses,Cross-Sectional Analysis,Cross-Sectional Study,Cross-Sectional Surveys,Disease Frequency Survey,Prevalence Study,Studies, Cross-Sectional,Studies, Prevalence,Study, Cross-Sectional,Study, Prevalence,Survey, Cross-Sectional,Survey, Disease Frequency,Surveys, Cross-Sectional
D003625	Data Collection	Systematic gathering of data for a particular purpose from various sources, including questionnaires, interviews, observation, existing records, and electronic devices. The process is usually preliminary to statistical analysis of the data.	Data Collection Methods,Dual Data Collection,Collection Method, Data,Collection Methods, Data,Collection, Data,Collection, Dual Data,Data Collection Method,Method, Data Collection,Methods, Data Collection
D004480	Ectromelia	Gross hypo- or aplasia of one or more long bones of one or more limbs. The concept includes amelia, hemimelia, phocomelia, and sirenomelia.	Amelia,Congenital Limb Reduction Deformities,Congenital Limb Reduction Deformity,Hemimelia,Phocomelia,Sirenomelia,Fused Legs and Feet,Mermaid Malformation,Mermaid Syndrome,Sirenomelia Sequence,Sirenomelus,Malformation, Mermaid,Sequence, Sirenomelia,Sirenomelia Sequences,Syndrome, Mermaid
D005260	Female		Females
D005858	Germany	A country in central Europe, bordering the Baltic Sea and the North Sea, between the Netherlands and Poland, south of Denmark. The capital is Berlin.
D006801	Humans	Members of the species Homo sapiens.	Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D015233	Models, Statistical	Statistical formulations or analyses which, when applied to data and found to fit the data, are then used to verify the assumptions and parameters used in the analysis. Examples of statistical models are the linear model, binomial model, polynomial model, two-parameter model, etc.	Probabilistic Models,Statistical Models,Two-Parameter Models,Model, Statistical,Models, Binomial,Models, Polynomial,Statistical Model,Binomial Model,Binomial Models,Model, Binomial,Model, Polynomial,Model, Probabilistic,Model, Two-Parameter,Models, Probabilistic,Models, Two-Parameter,Polynomial Model,Polynomial Models,Probabilistic Model,Two Parameter Models,Two-Parameter Model
D015994	Incidence	The number of new cases of a given disease during a given period in a specified population. It also is used for the rate at which new events occur in a defined population. It is differentiated from PREVALENCE, which refers to all cases in the population at a given time.	Attack Rate,Cumulative Incidence,Incidence Proportion,Incidence Rate,Person-time Rate,Secondary Attack Rate,Attack Rate, Secondary,Attack Rates,Cumulative Incidences,Incidence Proportions,Incidence Rates,Incidence, Cumulative,Incidences,Person time Rate,Person-time Rates,Proportion, Incidence,Rate, Attack,Rate, Incidence,Rate, Person-time,Rate, Secondary Attack,Secondary Attack Rates