Publications by authors named "Daolin Xie"

Article Synopsis
  • The study compared the diagnostic effectiveness of serological and ultrasound variables for staging liver fibrosis in hepatitis B virus (HBV) patients using machine learning (random forest algorithm) versus traditional methods.
  • The random forest algorithm showed significantly better diagnostic performance for fibrosis staging using serological data alone, with an accuracy of up to 92.40% for cirrhosis, whereas the ultrasound data had similar performance to traditional methods.
  • The findings suggest that employing the random forest algorithm can enhance liver fibrosis staging accuracy, helping doctors make better assessments and potentially minimizing the need for invasive biopsy procedures.
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Objective: To explore the application value of real-time ultrasonic elastograph (USE) with serum human epididymis protein 4 HE4, interleukin-33 (IL-33), and carbohydrate antigen 153 (CA153) in the diagnosis of early cervical cancer.

Methods: A total of 120 cervical cancer patients treated in our hospital (06, 2019-06, 2021) and meeting the study criteria were screened and divided into the benign group (BG,  = 70) and malignant group (MG,  = 50) according to their final diagnostic results, and healthy females who received physical examination in our hospital in the same period were selected as the control group (CG,  = 60). Patients in the three groups received real-time USE and detection of serum HE4, IL-33, and CA153 so as to analyze the diagnostic value of single examination and combined examination in diagnosing early cervical cancer.

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Long non-coding RNA psoriasis-susceptibilityrelated RNA gene induced by stress (PRINS) is known to be involved in kidney ischemia reperfusion injury. The aim of the current study was to investigate the potential role of PRINS in diabetic nephropathy. The relative mRNA expression level of PRINS and SMAD family member 7 (Smad7) was examined in patients with diabetes, including patients without obvious complications (n=43), patients with diabetic nephropathy (n=33), diabetic retinopathy (n=37), diabetic cardiomyopathy (n=29), diabetic lung disease (n=38) and healthy controls (n=48).

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Many molecular epidemiological studies have been performed to explore the association between MTHFR C677T polymorphism and cancer risk in diverse populations. However, the results were inconsistent. Hence, we performed a meta-analysis to investigate the association between cancer risk and MTHFR C677T (150,086 cases and 200,699 controls from 446 studies) polymorphism.

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The Arg194Trp polymorphism in the X-ray cross-complementing group 1 (XRCC1) had been implicated in cancer susceptibility. The previous published data on the association between XRCC1 Arg194Trp polymorphism and cancer risk remained controversial. Hence, we performed a meta-analysis to investigate the association between cancer susceptibility and XRCC1 Arg194Trp (59,227 cases and 81,587 controls from 201 studies) polymorphism in different inheritance models.

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Purpose: Collateral thermal injury can occur as a serious complication of microwave ablation. This study aimed to assess the insulating effect of a thermosensitive, chitosan-based hydrogel during the percutaneous microwave ablation of liver tissue abutting the stomach.

Materials And Methods: Thermometry needles (R1-R4) were positioned at 5-mm intervals from a thermal source to measure in vitro the temperature differences due to the hydrogel (R1 closest to the thermal source).

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T3801C is a common polymorphism in CYP1A1, showing differences in its biological functions. Case-control studies have been performed to elucidate the role of T3801C in cancer, although the results are conflicting and heterogeneous. Hence, we performed a meta-analysis to investigate the association between cancer susceptibility and T3801C (55,963 cases and 76,631 controls from 268 studies) polymorphism in different inheritance models.

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The T241M polymorphism in the X-ray cross-complementing group 3 (XRCC3) had been implicated in cancer susceptibility. The previous published data on the association between XRCC3 T241M polymorphism and cancer risk remained controversial. Hence, we performed a meta-analysis to investigate the association between cancer susceptibility and XRCC3 T241M (61,861 cases and 84,584 controls from 157 studies) polymorphism in different inheritance models.

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