Investigator

Ying Zhang

Capital Medical University

YZYing Zhang
Papers(7)
The Clinical Characte…Prognostic significan…Effects of air-heated…Prognostic nomograms …&lt;p&gt;Importance o…Comparison of <scp>O‐…Survival outcomes of …
Collaborators(7)
Zhen YuanDongyan CaoGuorong LyuHuimei ZhouJiaxin YangKeng ShenMei Yu
Institutions(3)
Capital Medical Unive…Chinese Academy Of Me…Second Affiliated Hos…

Papers

The Clinical Characteristics of Endometrial Cancer With Extraperitoneal Metastasis and the Value of Surgery in Treatment

Objective: To describe the clinical and pathological features of endometrial carcinoma with extraperitoneal metastasis and examine whether surgery could improve the prognosis. Methods: The Surveillance, Epidemiology, and End Results database was used to analyze 730 patients who were diagnosed with extraperitoneal metastasis of endometrial cancer from 2010 to 2015, including metastasis to the lung, bone, or brain. Results: Of the 730 patients, 372 (50.96%) patients had single lung metastases, and 196(26.85%) patients had multiple organ metastases that included pulmonary invasion. Therefore, the lung was the most common target organ for extraperitoneal metastasis of endometrial cancer. In multivariate risk factor analysis, grade 3 tumor (odds ratio = 3.39, P &lt; .001), positive peritoneal cytology (odds ratio = 2.02, P &lt; .001), and cervical stromal invasion (odds ratio = 1.42, P = .030) were independent risk factors for extraperitoneal metastasis. Once metastasis occurred in the brain or multiple organs, the prognosis was often poor. Of the patients, 362 underwent surgery, and surgery was performed only for primary tumors of the reproductive organs in almost all patients (97.23%) with extraperitoneal metastasis. The median cancer-specific survival periods of patients with solitary pulmonary metastasis undergoing surgery and those without surgery were 23 (16.43-29.57) months and 9 (6.21-11.79) months, respectively ( P &lt; .001), and survival superiority also existed in patients with bone metastasis (19 vs 8 months, P = .015) and multiple organs metastases (15 vs 4 months, P &lt; .001). However, patients with brain metastasis had the same median survival period in the 2 groups (6 months, P = .146). Conclusions: The lung was the most common target organ for extraperitoneal metastasis in patients with endometrial cancer. Surgery was associated with improved survival in women with extraperitoneal metastasis, except for patients with brain metastasis.

Prognostic significance of co‐existent adenomyosis on outcomes and tumor characteristics of endometrial cancer: A meta‐analysis

AbstractObjectivePublished data on the impact of co‐existent adenomyosis on the prognosis of patients with endometrial cancer remains elusive, with studies reporting conflicting results. We conducted this meta‐analysis to evaluate the prognostic significance of co‐existent adenomyosis on clinical outcomes and tumor characteristics of endometrial cancer patients.MethodsA comprehensive literature review of multiple databases was conducted; quality assessment of eligible studies was performed by the Newcastle‐Ottawa scale (NOS). The outcomes of interest were compared in endometrial cancer patients with or without adenomyosis. Hazards ratios (HR) and Odds ratios (OR) with 95% confidence interval (CI) were calculated as a measure of effects.ResultsFourteen retrospective observational studies comprising 1308 endometrial cancer patients with adenomyosis and 3734 patients without adenomyosis were included in this meta‐analysis. Results indicated that endometrial cancer patients with adenomyosis was significantly associated with an increased overall survival rate (HR = 0.51; 95% CI = 0.38–0.69; P &lt; 0.00001), but not with disease‐free survival rate (HR = 0.68; 95% CI = 0.30–1.53; P = 0.35); besides, significantly associated with decreased ratio of deep myometrial invasion (OR = 0.45; 95% CI = 0.33–0.60; P &lt; 0.00001), lymphovascular space invasion (OR = 0.44; 95% CI = 0.29–0.68; P = 0.0002), an increased ratio of histological grade 1 (OR = 1.84; 95% CI = 1.34–2.53; P = 0.0002) and FIGO I‐II (OR = 1.85; 95% CI = 1.49–2.30; P &lt; 0.00001). However, there was no significant difference in pathological type and lymph node metastasis. There was a low to high heterogeneity with I2 ranging from 0 to 67%.ConclusionThis meta‐analysis indicated that co‐existent adenomyosis with endometrial cancer is associated with favorable tumor characteristics and could serve as a potential protective factor for the prognosis of endometrial cancer.

Effects of air-heated blankets on hypothermia and quality of recovery in patients undergoing radical resection for endometrial cancer: A randomized trial

Background: Perioperative hypothermia is a common complication in patients undergoing major abdominal surgery. The aim of this study was to explore the effects of air-heated blankets on perioperative hypothermia and quality of recovery in patients undergoing radical resection for endometrial cancer. Methods: A total of 80 patients who underwent radical resection for endometrial cancer were enrolled and randomly divided into the control group (Group C) and experimental group (Group A) (n = 40). Routine nursing measures were used in Group C. Patients in Group A were continuously kept warm with an air-heated blanket (38°C) from the induction of anesthesia until the end of surgery. The core body temperature, intraoperative blood loss, extubation time, eye-opening time and post-anesthesia care unit (PACU) stay were recorded. The incidence of hypothermia, postoperative agitation, shivering, postoperative nausea and vomiting and delayed awakening was observed. Results: The incidence of hypothermia was significantly lower in group A (2.5% vs 45%, P = .001), and the body temperature 30 minutes after the induction of anesthesia and 1 hour after the beginning of the operation were significantly higher than that in the group C (P &lt; .05). Intraoperative blood loss was reduced in group A that in the group C (135.8 ± 38.8 vs 155.8 ± 48.7 mL, P &lt; .046). The extubation time, eye-opening time, and PACU stay were shorter in group A that in the group C (all P &lt; .05). The incidence of postoperative shivering was lower than that in Group C (2.5% vs 20%, P &lt; .024). Conclusion: The use of air-heating blanket could reduce the incidence of intraoperative hypothermia and postoperative shivering, shorten the extubation time and eye-opening time, and reduce intraoperative blood loss in patients undergoing radical resection for endometrial cancer.

Prognostic nomograms for locally advanced cervical cancer based on the SEER database: Integrating Cox regression and competing risk analysis

Locally advanced cervical carcinoma (LACC) remains a significant global health challenge owing to its high recurrence rates and poor outcomes, despite current treatments. This study aimed to develop a comprehensive risk stratification model for LACC by integrating Cox regression and competing risk analyses. This was done to improve clinical decision making. We analyzed data from 3428 patients with LACC registered in the Surveillance, Epidemiology, and End Results program and diagnosed them between 2010 and 2015. Cox regression and competing risk analyses were used to identify the prognostic factors. We constructed and validated nomograms for overall survival (OS) and disease-specific survival (DSS). Multivariate Cox regression identified key prognostic factors for OS, including advanced International Federation of Gynecology and Obstetrics stage, age, marital status, ethnicity, and tumor size. Notably, International Federation of Gynecology and Obstetrics stages IIIA, IIIB, and IVA had hazard ratios of 2.227, 2.451, and 4.852, respectively, significantly increasing the mortality risk compared to stage IB2. Ethnic disparities were evident, with African Americans facing a 39.8% higher risk than Caucasians did. Competing risk analyses confirmed the significance of these factors in DSS, particularly tumor size. Our nomogram demonstrated high predictive accuracy, with area under the curve values ranging from 0.706 to 0.784 for DSS and 0.717 to 0.781 for OS. Calibration plots and decision curve analyses further validated the clinical utility of this nomogram. We present effective nomograms for LACC risk stratification that incorporate multiple prognostic factors. These models provide a refined approach for individualized patient management and have the potential to significantly enhance therapeutic strategies for LACC.

Comparison of O‐RADS, GI‐RADS, and ADNEX for Diagnosis of Adnexal Masses: An External Validation Study Conducted by Junior Sonologists

ObjectiveTo externally validate the Ovarian‐adnexal Reporting and Data System (O‐RADS) and evaluate its performance in differentiating benign from malignant adnexal masses (AMs) compared with the Gynecologic Imaging Reporting and Data System (GI‐RADS) and Assessment of Different NEoplasias in the adneXa (ADNEX).MethodsA retrospective analysis was performed on 734 cases from the Second Affiliated Hospital of Fujian Medical University. All patients underwent transvaginal or transabdominal ultrasound examination. Pathological diagnoses were obtained for all the included AMs. O‐RADS, GI‐RADS, and ADNEX were used to evaluate AMs by two sonologists, and the diagnostic efficacy of the three systems was analyzed and compared using pathology as the gold standard. We used the kappa index to evaluate the inter‐reviewer agreement (IRA).ResultsA total of 734 AMs, including 564 benign masses, 69 borderline masses, and 101 malignant masses were included in this study. O‐RADS (0.88) and GI‐RADS (0.90) had lower sensitivity than ADNEX (0.95) (P &lt; .05), and the PPV of O‐RADS (0.98) was higher than that of ADNEX (0.96) (P &lt; .05). These three systems showed good IRA.ConclusionO‐RADS, GI‐RADS, and ADNEX showed little difference in diagnostic performance among resident sonologists. These three systems have their own characteristics and can be selected according to the type of center, access to patients' clinical data, or personal comfort.

Survival outcomes of 2018 FIGO stage IIIC versus stages IIIA and IIIB in cervical cancer: A systematic review with meta‐analysis

AbstractObjectiveTo assess the difference in survival outcomes between stage IIIC and stages IIIA and IIIB in the 2018 FIGO cervical cancer staging system.MethodsThe PubMed, EMBASE, MEDLINE and Web of Science were searched for articles published from November 1, 2018 to January 31, 2023. Articles published in English were considered. The included studies compared the survival outcomes of patients with cervical cancer in FIGO 2018 stage IIIC with those in stages IIIA and IIIB. Studies focused on rare histopathological types were excluded. The statistical analyses were performed using Stata 17 software. The endpoints were overall survival (OS) and progression‐free survival (PFS).ResultsTen retrospective cohort studies were eligible, involving 2113 (6.2%), 9812 (28.6%), 44 (0.1%), 10 171 (29.7%), 11 677 (34.1%) and 445 (1.3%) patients in stage IIIA, IIIB, IIIA&amp;B, IIIC, IIIC1, and IIIC2, respectively. In the OS group, stage IIIC/C1 was significantly associated with superior survival compared with stage IIIA (hazard risk [HR] 0.62, 95% confidence interval [CI] 0.41–0.93, P = 0.022; I2 = 92.9%) and stage IIIB(A&amp;B) (HR 0.56, 95% CI 0.44–0.71, P &lt; 0.001; I2 = 94.0%). The FIGO 2018 stage IIIC2 was not associated with an increased mortality risk compared with stage IIIA and stage IIIB(A&amp;B). In the PFS group, the outcome of FIGO 2018 stage IIIC/C1 was similar to stage IIIA (HR 0.66, 95% CI 0.27–1.64, P = 0.371; I2 = 65.6%), but better than stage IIIB(A&amp;B) (HR 0.75, 95% CI 0.68–0.83, P &lt; 0.001; I2 = 0.0%). The FIGO 2018 stage IIIC2 has similar PFS outcomes to stage IIIA and stage IIIB(A&amp;B).ConclusionOur findings demonstrate that survival outcomes of stage IIIC are no worse than those of stage IIIA and stage IIIB in the 2018 FIGO cervical cancer staging system. In cervical cancer, FIGO 2018 stage IIIC1 has significantly better OS outcomes than stage IIIA and stage IIIB.

3Works
7Papers
7Collaborators
Endometrial NeoplasmsPrognosisDisease ManagementNeoplasm GradingNeoplasm MetastasisNeoplasm StagingAdenomyosisBreast Neoplasms