Limits...
Applying measures of discriminatory accuracy to revisit traditional risk factors for being small for gestational age in Sweden: a national cross-sectional study.

Juárez SP, Wagner P, Merlo J - BMJ Open (2014)

Bottom Line: Nevertheless, average associations do not assess the discriminatory accuracy of the risk factors (ie, its ability to discriminate the babies who will develop SGA from those that will not).For instance, smoking (OR=2.57), having had a previous SGA baby (OR=5.48) and hypertension (OR=4.02) were strongly associated with SGA.A proper understanding of these findings is of fundamental relevance to address future research and to design policymaking recommendations in a more informed way.

View Article: PubMed Central - PubMed

Affiliation: Center for Economic Demography, Lund University, Sweden Department of Clinical Sciences, Unit of Social Epidemiology, Lund University, Malmö, Skåne University Hospital (SUS Malmö), Malmö, Sweden.

Show MeSH

Related in: MedlinePlus

Area under the receiver operating characteristic curve to compare the discriminatory accuracy of different models to distinguish between small for gestational age (SGA) and non-SGA babies.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
getmorefigures.php?uid=PMC4120345&req=5

BMJOPEN2014005388F2: Area under the receiver operating characteristic curve to compare the discriminatory accuracy of different models to distinguish between small for gestational age (SGA) and non-SGA babies.

Mentions: Figure 2 shows the values for the AU-ROC of the variables included in table 2. Overall, their discriminatory accuracy was rather low. Newborn babies had the lower discriminatory accuracy. Having a SGA child and hypertension, despite the risk factors being most strongly associated with SGA (OR 5.48 and 4.02, respectively), led to a very low discriminatory accuracy (AU-ROC 0.54 and 0.51). Birth order and smoking were the variables with the highest accuracy (AU-ROC 0.59).


Applying measures of discriminatory accuracy to revisit traditional risk factors for being small for gestational age in Sweden: a national cross-sectional study.

Juárez SP, Wagner P, Merlo J - BMJ Open (2014)

Area under the receiver operating characteristic curve to compare the discriminatory accuracy of different models to distinguish between small for gestational age (SGA) and non-SGA babies.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4120345&req=5

BMJOPEN2014005388F2: Area under the receiver operating characteristic curve to compare the discriminatory accuracy of different models to distinguish between small for gestational age (SGA) and non-SGA babies.
Mentions: Figure 2 shows the values for the AU-ROC of the variables included in table 2. Overall, their discriminatory accuracy was rather low. Newborn babies had the lower discriminatory accuracy. Having a SGA child and hypertension, despite the risk factors being most strongly associated with SGA (OR 5.48 and 4.02, respectively), led to a very low discriminatory accuracy (AU-ROC 0.54 and 0.51). Birth order and smoking were the variables with the highest accuracy (AU-ROC 0.59).

Bottom Line: Nevertheless, average associations do not assess the discriminatory accuracy of the risk factors (ie, its ability to discriminate the babies who will develop SGA from those that will not).For instance, smoking (OR=2.57), having had a previous SGA baby (OR=5.48) and hypertension (OR=4.02) were strongly associated with SGA.A proper understanding of these findings is of fundamental relevance to address future research and to design policymaking recommendations in a more informed way.

View Article: PubMed Central - PubMed

Affiliation: Center for Economic Demography, Lund University, Sweden Department of Clinical Sciences, Unit of Social Epidemiology, Lund University, Malmö, Skåne University Hospital (SUS Malmö), Malmö, Sweden.

Show MeSH
Related in: MedlinePlus