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Mapping the Relationship of Contributing Factors for Preclinical Alzheimer's Disease.

Shi L, Zhao L, Wong A, Wang D, Mok V - Sci Rep (2015)

Bottom Line: The proposed Probabilistic Entity-Relationship Diagram (PERD) demonstrated its effectiveness in this research for studying pAD.In addition, PERD could potentially develop into an online application named PERD-online, which would help researchers to pool findings on the same relationships and guide further tests to validate uncertain relationships in PERD.PERD as a generic graphical meta-analysis tool can also be applied in studying other multifactorial diseases.

View Article: PubMed Central - PubMed

Affiliation: 1] Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Shatin, NT, Hong Kong SAR [2] Chow Yuk Ho Center of Innovative Technology for Medicine, The Chinese University of Hong Kong, Shatin, NT, Hong Kong SAR.

ABSTRACT
While detecting and validating correlations among the contributing factors to the preclinical phase of Alzheimer's disease (pAD) has been a focus, a potent meta-analysis method to integrate current findings is essential. The entity-relationship diagram with nodes as entities and edges as relationships is a graphical representation that summarizes the relationships among multiple factors in an intuitive manner. Based on this concept, a new meta-analysis approach with this type of diagram is proposed to summarize research about contributing factors of pAD and their interactions. To utilize the information for enriched visualization, width and color of the edges are encoded with reporting times, number of pAD subjects, correlation coefficient, and study design (cross-sectional or longitudinal). The proposed Probabilistic Entity-Relationship Diagram (PERD) demonstrated its effectiveness in this research for studying pAD. Another kind of diagram with occurrence order for some factors was also proposed to provide sequential information of the factors. In addition, PERD could potentially develop into an online application named PERD-online, which would help researchers to pool findings on the same relationships and guide further tests to validate uncertain relationships in PERD. PERD as a generic graphical meta-analysis tool can also be applied in studying other multifactorial diseases.

No MeSH data available.


Related in: MedlinePlus

PERD of relationship between atrophy of different anatomical positions and pAD or its significant biomarkers.GM = gray matter.
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f2: PERD of relationship between atrophy of different anatomical positions and pAD or its significant biomarkers.GM = gray matter.

Mentions: Different colors represented the sign and strength of the correlation. The strength of correlation was illustrated with coded color from yellow to red for positive correlation and green to blue for negative correlation. Bearing in mind the difference of reports on the same relationship, we used weighted average correlation coefficient () to designate the RGB value of the edge (a lookup table was provided in color, as was shown in the colorbar ofFig. 1 and Fig. 2). This coefficient was composed of the reported correlation coefficient (ri), the number of pAD subjects, and the cross-sectional penalty (αi) (equation (2)). For those studies involving group comparisons or regression rather than correlation, ri was estimated empirically based on the p-value and the sign of the correlation, where (we defined 0.001 as a strict significance level).


Mapping the Relationship of Contributing Factors for Preclinical Alzheimer's Disease.

Shi L, Zhao L, Wong A, Wang D, Mok V - Sci Rep (2015)

PERD of relationship between atrophy of different anatomical positions and pAD or its significant biomarkers.GM = gray matter.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4507140&req=5

f2: PERD of relationship between atrophy of different anatomical positions and pAD or its significant biomarkers.GM = gray matter.
Mentions: Different colors represented the sign and strength of the correlation. The strength of correlation was illustrated with coded color from yellow to red for positive correlation and green to blue for negative correlation. Bearing in mind the difference of reports on the same relationship, we used weighted average correlation coefficient () to designate the RGB value of the edge (a lookup table was provided in color, as was shown in the colorbar ofFig. 1 and Fig. 2). This coefficient was composed of the reported correlation coefficient (ri), the number of pAD subjects, and the cross-sectional penalty (αi) (equation (2)). For those studies involving group comparisons or regression rather than correlation, ri was estimated empirically based on the p-value and the sign of the correlation, where (we defined 0.001 as a strict significance level).

Bottom Line: The proposed Probabilistic Entity-Relationship Diagram (PERD) demonstrated its effectiveness in this research for studying pAD.In addition, PERD could potentially develop into an online application named PERD-online, which would help researchers to pool findings on the same relationships and guide further tests to validate uncertain relationships in PERD.PERD as a generic graphical meta-analysis tool can also be applied in studying other multifactorial diseases.

View Article: PubMed Central - PubMed

Affiliation: 1] Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Shatin, NT, Hong Kong SAR [2] Chow Yuk Ho Center of Innovative Technology for Medicine, The Chinese University of Hong Kong, Shatin, NT, Hong Kong SAR.

ABSTRACT
While detecting and validating correlations among the contributing factors to the preclinical phase of Alzheimer's disease (pAD) has been a focus, a potent meta-analysis method to integrate current findings is essential. The entity-relationship diagram with nodes as entities and edges as relationships is a graphical representation that summarizes the relationships among multiple factors in an intuitive manner. Based on this concept, a new meta-analysis approach with this type of diagram is proposed to summarize research about contributing factors of pAD and their interactions. To utilize the information for enriched visualization, width and color of the edges are encoded with reporting times, number of pAD subjects, correlation coefficient, and study design (cross-sectional or longitudinal). The proposed Probabilistic Entity-Relationship Diagram (PERD) demonstrated its effectiveness in this research for studying pAD. Another kind of diagram with occurrence order for some factors was also proposed to provide sequential information of the factors. In addition, PERD could potentially develop into an online application named PERD-online, which would help researchers to pool findings on the same relationships and guide further tests to validate uncertain relationships in PERD. PERD as a generic graphical meta-analysis tool can also be applied in studying other multifactorial diseases.

No MeSH data available.


Related in: MedlinePlus