Title: Serum liver fibrosis markers predict hepatic decompensation in compensated cirrhosis
Version: 1 Date: 20 Apr 2023
Reviewer's report:
This original manuscript arouses interest for readers and provides an important clue to estimate
or predict a transition from compensated phase to decompensated phase using convenient
and non-invasive serum fibrosis markers in patients with cirrhosis. However, there are some
problems that should be addressed or altered.
(1) There are many fibrosis markers and indices for estimating the degree or stage of fibrosis
in chronic liver disease. Could you please specify why authors selected the four serum fibrosis
markers in the revised version? In addition, authors should explain why they were able to
measure all four markers at the same time. Were the four markers routinely measured using
medical insurance?
(2) Each of these four markers is different in what it reflects. Meanwhile, as the present and
other study cohorts include patients with various etiologies, it is conceivable that results will
vary among study populations. Are these markers comparable for populations with different
etiologies? Authors should address this issue in the Discussion section.
(3) Blood samples were taken after overnight fasting. Are these fibrosis markers influenced by
diet?
(4) Dis patients with compensated cirrhosis receive treatment specific to the etiology? If so,
what were the treatments?
(5) Variables with p < 0.10 or 0.15 in univariate analysis should be entered into multivariate
analysis. Data in Table 2 should be analyzed using the Cochran-Armitage trend test.
(6) Authors should specify what factors were the data in Table 3 adjusted for? Where are
unadjusted results of multivariate analysis in Table 3? Which univariate or multivariate analysis
are the adjusted results derived from in Table 3?
(7) What are “univariate and multivariate analyses” in Table 4? Were these data obtained using
the log-rank test or Cox regression analysis?
(8) What software did authors use to draw Figure 2? Please specify the statistical soft. In addition,
authors should analyze the Figure 2 data using the post-hoc Bonferroni or Holm method. Authors
must accurately statistical analysis methods including the log-rank test in the revised text.
Title: Serum liver fibrosis markers predict hepatic decompensation in compensated cirrhosis
Version: 1 Date: 20 Apr 2023
Reviewer's report:
This original manuscript arouses interest for readers and provides an important clue to estimate
or predict a transition from compensated phase to decompensated phase using convenient
and non-invasive serum fibrosis markers in patients with cirrhosis. However, there are some
problems that should be addressed or altered.
(1) There are many fibrosis markers and indices for estimating the degree or stage of fibrosis
in chronic liver disease. Could you please specify why authors selected the four serum fibrosis
markers in the revised version? In addition, authors should explain why they were able to
measure all four markers at the same time. Were the four markers routinely measured using
medical insurance?
(2) Each of these four markers is different in what it reflects. Meanwhile, as the present and
other study cohorts include patients with various etiologies, it is conceivable that results will
vary among study populations. Are these markers comparable for populations with different
etiologies? Authors should address this issue in the Discussion section.
(3) Blood samples were taken after overnight fasting. Are these fibrosis markers influenced by
diet?
(4) Dis patients with compensated cirrhosis receive treatment specific to the etiology? If so,
what were the treatments?
(5) Variables with p < 0.10 or 0.15 in univariate analysis should be entered into multivariate
analysis. Data in Table 2 should be analyzed using the Cochran-Armitage trend test.
(6) Authors should specify what factors were the data in Table 3 adjusted for? Where are
unadjusted results of multivariate analysis in Table 3? Which univariate or multivariate analysis
are the adjusted results derived from in Table 3?
(7) What are “univariate and multivariate analyses” in Table 4? Were these data obtained using
the log-rank test or Cox regression analysis?
(8) What software did authors use to draw Figure 2? Please specify the statistical soft. In addition,
authors should analyze the Figure 2 data using the post-hoc Bonferroni or Holm method. Authors
must accurately statistical analysis methods including the log-rank test in the revised text.
Please review this paper.
user
Title: Serum liver fibrosis markers predict hepatic decompensation in compensated cirrhosis
Version: 1 Date: 20 Apr 2023
Reviewer's report:
This original manuscript arouses interest for readers and provides an important clue to estimate
or predict a transition from compensated phase to decompensated phase using convenient
and non-invasive serum fibrosis markers in patients with cirrhosis. However, there are some
problems that should be addressed or altered.
(1) There are many fibrosis markers and indices for estimating the degree or stage of fibrosis
in chronic liver disease. Could you please specify why authors selected the four serum fibrosis
markers in the revised version? In addition, authors should explain why they were able to
measure all four markers at the same time. Were the four markers routinely measured using
medical insurance?
(2) Each of these four markers is different in what it reflects. Meanwhile, as the present and
other study cohorts include patients with various etiologies, it is conceivable that results will
vary among study populations. Are these markers comparable for populations with different
etiologies? Authors should address this issue in the Discussion section.
(3) Blood samples were taken after overnight fasting. Are these fibrosis markers influenced by
diet?
(4) Dis patients with compensated cirrhosis receive treatment specific to the etiology? If so,
what were the treatments?
(5) Variables with p < 0.10 or 0.15 in univariate analysis should be entered into multivariate
analysis. Data in Table 2 should be analyzed using the Cochran-Armitage trend test.
(6) Authors should specify what factors were the data in Table 3 adjusted for? Where are
unadjusted results of multivariate analysis in Table 3? Which univariate or multivariate analysis
are the adjusted results derived from in Table 3?
(7) What are “univariate and multivariate analyses” in Table 4? Were these data obtained using
the log-rank test or Cox regression analysis?
(8) What software did authors use to draw Figure 2? Please specify the statistical soft. In addition,
authors should analyze the Figure 2 data using the post-hoc Bonferroni or Holm method. Authors
must accurately statistical analysis methods including the log-rank test in the revised text.
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