&lt;p&gt;Impact of the Body Mass Index on Hemorrhage After Surgery for Thyroid Cancer&lt;/p&gt;

P, Li; Luo, Ronghua; Guo, Lanwei; Li, Wenlu; Qi, Jing

doi:10.2147/cmar.s239264

Cited by 6 publications

(4 citation statements)

References 19 publications

(35 reference statements)

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“…There were 38 studies 43,45,46,59‐91,211,212 (40 cohorts; 2,361,275 participants) of cancer populations (Table S3); 17 cohorts were in East Asia, 10 cohorts in North America, 7 in Europe, 2 were international cohorts, 2 were in West Asia, and 1 each in South America and Africa. Mean age of participants ranged from 17 to 75 years.…”

Section: Resultsmentioning

confidence: 99%

Associations between body mass index and all‐cause mortality: A systematic review and meta‐analysis

2023

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SummaryFasting insulin and c‐reactive protein confound the association between mortality and body mass index. An increase in fat mass may mediate the associations between hyperinsulinemia, hyperinflammation, and mortality. The objective of this study was to describe the “average” associations between body mass index and the risk of mortality and to explore how adjusting for fasting insulin and markers of inflammation might modify the association of BMI with mortality. MEDLINE and EMBASE were searched for studies published in 2020. Studies with adult participants where BMI and vital status was assessed were included. BMI was required to be categorized into groups or parametrized as non‐first order polynomials or splines. All‐cause mortality was regressed against mean BMI squared within seven broad clinical populations. Study was modeled as a random intercept. β coefficients and 95% confidence intervals are reported along with estimates of mortality risk by BMIs of 20, 30, and 40 kg/m2. Bubble plots with regression lines are drawn, showing the associations between mortality and BMI. Splines results were summarized. There were 154 included studies with 6,685,979 participants. Only five (3.2%) studies adjusted for a marker of inflammation, and no studies adjusted for fasting insulin. There were significant associations between higher BMIs and lower mortality risk in cardiovascular (unadjusted β −0.829 [95% CI −1.313, −0.345] and adjusted β −0.746 [95% CI −1.471, −0.021]), Covid‐19 (unadjusted β −0.333 [95% CI −0.650, −0.015]), critically ill (adjusted β −0.550 [95% CI −1.091, −0.010]), and surgical (unadjusted β −0.415 [95% CI −0.824, −0.006]) populations. The associations for general, cancer, and non‐communicable disease populations were not significant. Heterogeneity was very large (I2 ≥ 97%). The role of obesity as a driver of excess mortality should be critically re‐examined, in parallel with increased efforts to determine the harms of hyperinsulinemia and chronic inflammation.

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Section: Resultsmentioning

confidence: 99%

Associations between body mass index and all‐cause mortality: A systematic review and meta‐analysis

2023

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“…[4][5][6] An increasing number of studies have found that obesity is not only a risk factor for metabolic syndrome, diabetes, cardiovascular and cerebrovascular diseases, but also a variety of malignant tumors. 7,8 The International Agency for Research on Cancer has indicated that obesity is a risk factor for gastric cancer, colorectal cancer, liver cancer, pancreatic cancer, postmenopausal breast cancer, and other malignant tumors, and that BMI also has a significant dose-response relationship with cancer risk. 9 Global population data for 2012 show that countries with a high incidence of overweight and obesity have a significantly increased number of patients with new malignant tumors comparison with BMI health groups.…”

Section: Introductionmentioning

confidence: 99%

<p>Influence of Body Mass Index on Survival and Prognosis in Squamous Cell Carcinoma of Head and Neck</p>

Li¹,

Liyan²,

Sun³

2020

CMAR

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Objective: Differences in body mass index (BMI) were used to analyze the survival and prognosis of SCCHN patients. Patients and Methods: A retrospective cohort study was conducted to select 323 patients who underwent surgical treatment for SCCHN from June 2013 to June 2016. The patients were divided into a healthy BMI group (BMI<24kg/m 2), an overweight group (24kg/m 2-≤BMI<28kg/m 2) and an obese group (BMI≥28 kg/m 2). Various statistical methods were used to summarize and analyze clinical data, complications, disease specific survival (DSS), the overall survival (OS), and recurrence-free survival (RFS) within the last 3 y. Results: At 3 y, OS (54.40%) and DSS (51.94%) were slightly lower in the obese group compared with the overweight (64.62%, 61.92%) and healthy BMI groups (64.66%, 65.02%), but no statistical significance was found in DSS (P=0.178), OS (P=0.123) and RFS (P=0.362). The difference in operation duration (P=0.008) and bleeding volume (P=0.001) in obese patients was consistent with those in diabetes mellitus (P=0.002) and coronary heart disease (P=0.000). A high incidence of pharyngeal fistula was observed in obese (P=0.014) and overweight patients (P=0.025), but mouth floor fistula (P=0.038), lung infection (P=0.047), fat liquefaction (P=0.003) and lower extremities deep venous thrombosis (P=0.020) were only found in the obese group. Cox univariatable and multivariatable analysis showed that clinical stage, T stage, and N stage were independent prognostic factors for patients with SCCHN, which was not related to BMI. Conclusion: BMI was associated with a higher probability of complications. However, BMI had no significant correlation with 3-year OS, RFS and DSS, and was not a prognostic indicator for patients with SCCHN.

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“…Early postoperative bleeding is associated with hemostasis failure or coagulation defects [ 19 ]. Taking NSAIDS and hypertension together is a common cause of postoperative bleeding [ 36 , 37 ]. In our opinion, preoperative coagulopathy should be given particular attention, and blood pressure should be maintained normal in individuals.…”

Section: Discussionmentioning

confidence: 99%

Unplanned reoperation after radical surgery for oral cancer: an analysis of risk factors and outcomes

Zhang

Zhu

et al. 2022

BMC Oral Health

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Background Unplanned reoperation (UR) after radical surgery for oral cancer (OC) is a health threat for the patients. The aim of the study was to identify the incidence of and risk factors for unplanned reoperation following oral cancer radical surgery, and to explore a potential role for long-term survival. Methods The present study followed a retrospective study design. Univariate and multivariate analyses were used to identify risk factors for demographic and clinical characteristics of patients. Survival analysis was performed by the Kaplan–Meier method. The data was analyzed statistically between November and December 2021. Results The incidence of UR was 15.7%. The primary cause of UR was reconstructed flap complications. Multivariate logistic regression analyses revealed that diabetes, tumor size, type of reconstruction, and nodal metastasis were independent risk factors for UR. Patients undergoing UR had a longer hospitalization, more post-operative complications, and a higher mortality compared with the non-UR group. UR is negatively correlated with the cancer-specific survival rate of patients (Log-rank test, P = 0.024). Conclusion Diabetes, tumor size, pedicled flap reconstruction and cervical nodal metastasis (N2) as independent risk factors for UR was discovered. UR was positively correlated with perioperative complications prolong hospital stay, and increased early mortality, but negatively correlated with the cancer-specific survival rate survival rate.

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<p>Impact of the Body Mass Index on Hemorrhage After Surgery for Thyroid Cancer</p>

Cited by 6 publications

References 19 publications

Associations between body mass index and all‐cause mortality: A systematic review and meta‐analysis

Associations between body mass index and all‐cause mortality: A systematic review and meta‐analysis

<p>Influence of Body Mass Index on Survival and Prognosis in Squamous Cell Carcinoma of Head and Neck</p>

Unplanned reoperation after radical surgery for oral cancer: an analysis of risk factors and outcomes

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