12 research outputs found

    <i>Stage-II</i> estimates of the coefficient for each of the variables (x, y, D) included in the Cox proportional hazard models for different specifications, Monte Carlo simulations, sample size 5000, <i>d</i><sub>1</sub> = 0.2 and <i>δ</i><sub>1</sub> = 0.4.

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    <p><sup>a</sup><i>z</i><sub>1</sub> is the only instrumental variable, but it is invalid;</p><p><sup>b</sup><i>z</i><sub>1</sub> and <i>z</i><sub>2</sub> are the invalid and valid instrumental variables respectively;</p><p><sup>c</sup><i>z</i><sub>2</sub> is the only instrumental variable, and it is valid. Specification III is correct.</p><p><i>Stage-II</i> estimates of the coefficient for each of the variables (x, y, D) included in the Cox proportional hazard models for different specifications, Monte Carlo simulations, sample size 5000, <i>d</i><sub>1</sub> = 0.2 and <i>δ</i><sub>1</sub> = 0.4.</p

    The effect of omitting <i>z</i> from the health outcome equation.

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    <p>In theory, the total effect of <i>z</i> on health outcome, H, is <i>δ</i> + <i>θd</i>. In practice, using <i>z</i> as an instrumental variable causes bias in the estimated effect of the 25(OH)D score, <i>D</i>, on the health outcome, because the direct effect of <i>z</i> on the health outcome is incorrectly captured as being mediated by <i>D</i>.</p

    Summary of characteristics according to vitamin D status (based on measured serum 25(OH)D concentration) among 4,002 adults of the National Health and Nutrition Examination Survey (2005–06), American adults who had three readings of systolic blood pressure.

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    <p><sup>a</sup> P values were derived from Kolmogorov-Smirnov tests;</p><p><sup>b</sup> P values for trend (two-sided) were derived from trend tests.</p><p>Summary of characteristics according to vitamin D status (based on measured serum 25(OH)D concentration) among 4,002 adults of the National Health and Nutrition Examination Survey (2005–06), American adults who had three readings of systolic blood pressure.</p

    Estimates of the association between the 25(OH)D concentration and the health outcome (<i>ϴ</i>) according to the change in (a) <i>d</i><sub>1</sub>, with <i>δ</i><sub>1</sub> = 0.4 and (b) <i>δ</i><sub>1</sub>, with <i>d</i><sub>1</sub> = 0.2; sample size 5000, Specification I and II.

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    <p>Estimates of the association between the 25(OH)D concentration and the health outcome (<i>ϴ</i>) according to the change in (a) <i>d</i><sub>1</sub>, with <i>δ</i><sub>1</sub> = 0.4 and (b) <i>δ</i><sub>1</sub>, with <i>d</i><sub>1</sub> = 0.2; sample size 5000, Specification I and II.</p

    Prognostic Significance of the Metabolic Marker Hexokinase-2 in Various Solid Tumors: A Meta-Analysis

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    <div><p>Objective</p><p>Recently, numerous studies have reported that hexokinase-2 (HK2) is aberrantly expressed in cancer, indicating that HK2 plays a pivotal role in the development and progression of cancer. However, its prognostic significance in solid tumor remains unclear. Accordingly, we performed a meta-analysis to assess the prognostic value of HK2 in solid tumor.</p><p>Methods</p><p>Eligible studies were identified using PubMed, Embase, and Web of Science databases. Pooled hazard ratios (HRs) with 95% confidence intervals (CIs) for overall survival (OS) or progression-free survival (PFS)/disease-free survival (DFS)/relapse-free survival (RFS) were estimated with random effects or fixed effects models, respectively. Subgroup analysis was also performed according to patients’ ethnicities, tumor types, detection methods, and analysis types.</p><p>Results</p><p>Data from 21 included studies with 2532 patients were summarized. HK2 overexpression was significantly associated with worse OS (pooled HR = 1.90, 95% CI = 1.51–2.38, <i>p</i> < 0.001) and PFS (pooled HR = 2.91, 95% CI = 2.02–4.22, <i>p</i> < 0.001) in solid tumor. As to a specific form of cancer, the negative effect of HK2 on OS was observed in hepatocellular carcinoma (pooled HR = 2.06, 95% CI = 1.67–2.54, <i>p</i> < 0.001), gastric cancer (pooled HR = 1.72, 95% CI = 1.09–2.71, <i>p</i> = 0.020), colorectal cancer (pooled HR = 2.89, 95% CI = 1.62–5.16, <i>p</i> < 0.001), but not in pancreatic cancer (pooled HR = 1.13, 95% CI = 0.28–4.66, <i>p</i> = 0.864). No publication bias was found in the included studies for OS (Begg’s test, <i>p</i> = 0.325; Egger’s test, <i>p</i> = 0.441).</p><p>Conclusion</p><p>In this meta-analysis, we identified that elevated HK2 expression was significantly associated with shorter OS and PFS in patients with solid tumor, but the association varies according to cancer type.</p></div
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