Matches in SemOpenAlex for { <https://semopenalex.org/work/W3104239544> ?p ?o ?g. }
- W3104239544 endingPage "192" @default.
- W3104239544 startingPage "185" @default.
- W3104239544 abstract "•Published Z score models involve variable populations and normalization approaches. •Different models result in different Z scores for the same measurement and person. •The rigorous multicenter PHN Z score model compares favorably with other models. •Systematic differences among Z scores should be considered in clinical decisions. •The same Z score model should be used for practice guidelines and decision-making. Background Different methods have resulted in variable Z scores for echocardiographic measurements. Using the measurements from 3,215 healthy North American children in the Pediatric Heart Network (PHN) echocardiographic Z score database, the authors compared the PHN model with previously published Z score models. Methods Z scores were derived for cardiovascular measurements using four models (PHN, Boston, Italy, and Detroit). Model comparisons were performed by evaluating (1) overlaid graphs of measurement versus body surface area with curves at Z = −2, 0, and +2; (2) scatterplots of PHN versus other Z scores with correlation coefficients; (3) Bland-Altman plots of PHN versus other Z scores; and (4) comparison of median Z scores for each model. Results For most measurements, PHN Z score curves were similar to Boston and Italian curves but diverged from Detroit curves at high body surface areas. Correlation coefficients were high when comparing the PHN model with the others, highest with Boston (mean, 0.99) and lowest with Detroit (mean, 0.90). Scatterplots suggested systematic differences despite high correlations. Bland-Altman plots also revealed poor agreement at both extremes of size and a systematic bias for most when comparing PHN against Italian and Detroit Z scores. There were statistically significant differences when comparing median Z scores between the PHN and other models. Conclusions Z scores from the multicenter PHN model correlated well with previous single-center models, especially the Boston model, which also had a large sample size and similar methodology. The Detroit Z scores diverged from the PHN Z scores at high body surface area, possibly because there were more subjects in this category in the PHN database. Despite excellent correlation, significant differences in Z scores between the PHN model and others were seen for many measurements. This is important when comparing publications using different models and for clinical care, particularly when Z score thresholds are used to guide diagnosis and management. Different methods have resulted in variable Z scores for echocardiographic measurements. Using the measurements from 3,215 healthy North American children in the Pediatric Heart Network (PHN) echocardiographic Z score database, the authors compared the PHN model with previously published Z score models. Z scores were derived for cardiovascular measurements using four models (PHN, Boston, Italy, and Detroit). Model comparisons were performed by evaluating (1) overlaid graphs of measurement versus body surface area with curves at Z = −2, 0, and +2; (2) scatterplots of PHN versus other Z scores with correlation coefficients; (3) Bland-Altman plots of PHN versus other Z scores; and (4) comparison of median Z scores for each model. For most measurements, PHN Z score curves were similar to Boston and Italian curves but diverged from Detroit curves at high body surface areas. Correlation coefficients were high when comparing the PHN model with the others, highest with Boston (mean, 0.99) and lowest with Detroit (mean, 0.90). Scatterplots suggested systematic differences despite high correlations. Bland-Altman plots also revealed poor agreement at both extremes of size and a systematic bias for most when comparing PHN against Italian and Detroit Z scores. There were statistically significant differences when comparing median Z scores between the PHN and other models. Z scores from the multicenter PHN model correlated well with previous single-center models, especially the Boston model, which also had a large sample size and similar methodology. The Detroit Z scores diverged from the PHN Z scores at high body surface area, possibly because there were more subjects in this category in the PHN database. Despite excellent correlation, significant differences in Z scores between the PHN model and others were seen for many measurements. This is important when comparing publications using different models and for clinical care, particularly when Z score thresholds are used to guide diagnosis and management." @default.
- W3104239544 created "2020-11-23" @default.
- W3104239544 creator A5000020632 @default.
- W3104239544 creator A5000162205 @default.
- W3104239544 creator A5001676353 @default.
- W3104239544 creator A5004811754 @default.
- W3104239544 creator A5006437858 @default.
- W3104239544 creator A5006947863 @default.
- W3104239544 creator A5012024905 @default.
- W3104239544 creator A5023789529 @default.
- W3104239544 creator A5025797648 @default.
- W3104239544 creator A5027489789 @default.
- W3104239544 creator A5034227091 @default.
- W3104239544 creator A5038312637 @default.
- W3104239544 creator A5040745425 @default.
- W3104239544 creator A5045016557 @default.
- W3104239544 creator A5045944588 @default.
- W3104239544 creator A5046105230 @default.
- W3104239544 creator A5054575355 @default.
- W3104239544 creator A5054892150 @default.
- W3104239544 creator A5077049877 @default.
- W3104239544 creator A5078925810 @default.
- W3104239544 creator A5081577621 @default.
- W3104239544 creator A5081730083 @default.
- W3104239544 creator A5081734704 @default.
- W3104239544 creator A5086362647 @default.
- W3104239544 creator A5088296546 @default.
- W3104239544 creator A5089575857 @default.
- W3104239544 date "2021-02-01" @default.
- W3104239544 modified "2023-10-15" @default.
- W3104239544 title "Pediatric Heart Network Echocardiographic Z Scores: Comparison with Other Published Models" @default.
- W3104239544 cites W1544988781 @default.
- W3104239544 cites W1998411828 @default.
- W3104239544 cites W2009297807 @default.
- W3104239544 cites W2032424713 @default.
- W3104239544 cites W2044861416 @default.
- W3104239544 cites W2049270185 @default.
- W3104239544 cites W2054475700 @default.
- W3104239544 cites W2056887954 @default.
- W3104239544 cites W2059618162 @default.
- W3104239544 cites W2068894348 @default.
- W3104239544 cites W2070509383 @default.
- W3104239544 cites W2071347528 @default.
- W3104239544 cites W2119483101 @default.
- W3104239544 cites W2136356633 @default.
- W3104239544 cites W2139537565 @default.
- W3104239544 cites W2345092111 @default.
- W3104239544 cites W2547914048 @default.
- W3104239544 cites W2572678909 @default.
- W3104239544 cites W2768634522 @default.
- W3104239544 cites W2770484278 @default.
- W3104239544 cites W2807864478 @default.
- W3104239544 cites W2809423063 @default.
- W3104239544 cites W2946089890 @default.
- W3104239544 cites W3020178849 @default.
- W3104239544 doi "https://doi.org/10.1016/j.echo.2020.09.019" @default.
- W3104239544 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/7870534" @default.
- W3104239544 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/33189460" @default.
- W3104239544 hasPublicationYear "2021" @default.
- W3104239544 type Work @default.
- W3104239544 sameAs 3104239544 @default.
- W3104239544 citedByCount "14" @default.
- W3104239544 countsByYear W31042395442021 @default.
- W3104239544 countsByYear W31042395442022 @default.
- W3104239544 countsByYear W31042395442023 @default.
- W3104239544 crossrefType "journal-article" @default.
- W3104239544 hasAuthorship W3104239544A5000020632 @default.
- W3104239544 hasAuthorship W3104239544A5000162205 @default.
- W3104239544 hasAuthorship W3104239544A5001676353 @default.
- W3104239544 hasAuthorship W3104239544A5004811754 @default.
- W3104239544 hasAuthorship W3104239544A5006437858 @default.
- W3104239544 hasAuthorship W3104239544A5006947863 @default.
- W3104239544 hasAuthorship W3104239544A5012024905 @default.
- W3104239544 hasAuthorship W3104239544A5023789529 @default.
- W3104239544 hasAuthorship W3104239544A5025797648 @default.
- W3104239544 hasAuthorship W3104239544A5027489789 @default.
- W3104239544 hasAuthorship W3104239544A5034227091 @default.
- W3104239544 hasAuthorship W3104239544A5038312637 @default.
- W3104239544 hasAuthorship W3104239544A5040745425 @default.
- W3104239544 hasAuthorship W3104239544A5045016557 @default.
- W3104239544 hasAuthorship W3104239544A5045944588 @default.
- W3104239544 hasAuthorship W3104239544A5046105230 @default.
- W3104239544 hasAuthorship W3104239544A5054575355 @default.
- W3104239544 hasAuthorship W3104239544A5054892150 @default.
- W3104239544 hasAuthorship W3104239544A5077049877 @default.
- W3104239544 hasAuthorship W3104239544A5078925810 @default.
- W3104239544 hasAuthorship W3104239544A5081577621 @default.
- W3104239544 hasAuthorship W3104239544A5081730083 @default.
- W3104239544 hasAuthorship W3104239544A5081734704 @default.
- W3104239544 hasAuthorship W3104239544A5086362647 @default.
- W3104239544 hasAuthorship W3104239544A5088296546 @default.
- W3104239544 hasAuthorship W3104239544A5089575857 @default.
- W3104239544 hasBestOaLocation W31042395442 @default.
- W3104239544 hasConcept C105795698 @default.
- W3104239544 hasConcept C117220453 @default.
- W3104239544 hasConcept C144024400 @default.
- W3104239544 hasConcept C149923435 @default.
- W3104239544 hasConcept C1862650 @default.