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High Birth Weight Increases the Risk for Bone Tumor: A Systematic Review and Meta-Analysis
- Source :
- International Journal of Environmental Research and Public Health, International Journal of Environmental Research and Public Health, Vol 12, Iss 9, Pp 11178-11195 (2015), Volume 12, Issue 9, Pages 11178-11195
- Publication Year :
- 2015
-
Abstract
- There have been several epidemiologic studies on the relationship between high birth weight and the risk for bone tumor in the past decades. However, due to the rarity of bone tumors, the sample size of individual studies was generally too small for reliable conclusions. Therefore, we have performed a meta-analysis to pool all published data on electronic databases with the purpose to clarify the potential relationship. According to the inclusion and exclusion criteria, 18 independent studies with more than 2796 cases were included. As a result, high birth weight was found to increase the risk for bone tumor with an Odds Ratio (OR) of 1.13, with the 95% confidence interval (95% CI) ranging from 1.01 to 1.27. The OR of bone tumor for an increase of 500 gram of birth weight was 1.01 (95% CI 1.00–1.02<br />p = 0.048 for linear trend). Interestingly, individuals with high birth weight had a greater risk for osteosarcoma (OR = 1.22, 95% CI 1.06–1.40, p = 0.006) than those with normal birth weight. In addition, in the subgroup analysis by geographical region, elevated risk was detected among Europeans (OR = 1.14, 95% CI 1.00–1.29, p = 0.049). The present meta-analysis supported a positive association between high birth weight and bone tumor risk.
- Subjects :
- medicine.medical_specialty
Ewing sarcoma of bone
Health, Toxicology and Mutagenesis
Birth weight
lcsh:Medicine
Subgroup analysis
Bone Neoplasms
bone tumor
Article
Risk Factors
Odds Ratio
Medicine
Humans
Osteosarcoma
chondrosarcoma
business.industry
Obstetrics
lcsh:R
Public Health, Environmental and Occupational Health
Infant, Newborn
birth weight
Odds ratio
Infant, Low Birth Weight
medicine.disease
Confidence interval
Surgery
meta-analysis
Sample size determination
Meta-analysis
Inclusion and exclusion criteria
Female
business
Subjects
Details
- ISSN :
- 16604601
- Volume :
- 12
- Issue :
- 9
- Database :
- OpenAIRE
- Journal :
- International journal of environmental research and public health
- Accession number :
- edsair.doi.dedup.....144d69e57c5ca0a2f68c0df5be518bdd