2000
DOI: 10.1046/j.1365-2893.2000.00205.x
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Statistical models for predicting response to interferon‐α and spontaneous seroconversion in children with chronic hepatitis B

Abstract: To develop prognostic models for identifying children with hepatitis B who are likely to respond to interferon-alpha (IFN-alpha) or to spontaneously seroconvert, we evaluated results of a multinational controlled trial comprising 70 children with chronic hepatitis B who received IFN-alpha and 74 children who did not receive therapy. Prognostic models were developed using SMILES (similarity of least squares), which is a data analysis network that incorporates multidimensional relationships in the clinical data … Show more

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Cited by 10 publications
(1 citation statement)
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“…[23] Using a statistical model to predict response, the variables that had the greatest impact on predictions for spontaneous seroconversion were ALT pretreatment direction, baseline HBV DNA level, age and AST pretreatment direction. [24] It was interesting to note that 10% of the treated responders also lost HBsAg compared with only 1% of untreated responders, confirming previous findings in adults on durability of response and HBsAg loss. [23,25] We compared the long-term outcome of children treated with interferon-α 5 MU/m 2 , three times/week for 6 months, versus untreated patients in our own series.…”
Section: Interferon-αsupporting
confidence: 86%
“…[23] Using a statistical model to predict response, the variables that had the greatest impact on predictions for spontaneous seroconversion were ALT pretreatment direction, baseline HBV DNA level, age and AST pretreatment direction. [24] It was interesting to note that 10% of the treated responders also lost HBsAg compared with only 1% of untreated responders, confirming previous findings in adults on durability of response and HBsAg loss. [23,25] We compared the long-term outcome of children treated with interferon-α 5 MU/m 2 , three times/week for 6 months, versus untreated patients in our own series.…”
Section: Interferon-αsupporting
confidence: 86%