BACKGROUND: This study aimed to develop a comprehensive instrument for evaluating and ranking clinical practice guidelines, named Scientific, Transparent and Applicable Rankings tool (STAR), and test its reliability, validity, and usability. METHODS: This study set up a multidisciplinary working group including guideline methodologists, statisticians, journal editors, clinicians, and other experts. Scoping review, Delphi methods, and hierarchical analysis were used to develop the STAR tool. We evaluated the instrument's intrinsic and interrater reliability, content and criterion validity, and usability. RESULTS: STAR contained 39 items grouped into 11 domains. The mean intrinsic reliability of the domains, indicated by Cronbach's α coefficient, was 0.588 (95% confidence interval [CI]: 0.414, 0.762). Interrater reliability as assessed with Cohen's kappa coefficient was 0.774 (95% CI: 0.740, 0.807) for methodological evaluators and 0.618 (95% CI: 0.587, 0.648) for clinical evaluators. The overall content validity index was 0.905. Pearson's r correlation for criterion validity was 0.885 (95% CI: 0.804, 0.932). The mean usability score of the items was 4.6 and the median time spent to evaluate each guideline was 20 min. CONCLUSION The instrument performed well in terms of reliability, validity, and efficiency, and can be used for comprehensively evaluating and ranking guidelines.
Reproducibility of Results ; Surveys and Questionnaires ; Practice Guidelines as Topic ; Humans

Humans ; Kidney/pathology*

Objective: To examine a predictive model that incorporating high risk pathological factors for the prognosis of stage Ⅰ to Ⅲ colon cancer. Methods: This study retrospectively collected clinicopathological information and survival outcomes of stage Ⅰ~Ⅲ colon cancer patients who underwent curative surgery in 7 tertiary hospitals in China from January 1, 2016 to December 31, 2017. A total of 1 650 patients were enrolled, aged (M(IQR)) 62 (18) years (range: 14 to 100). There were 963 males and 687 females. The median follow-up period was 51 months. The Cox proportional hazardous regression model was utilized to select high-risk pathological factors, establish the nomogram and scoring system. The Bootstrap resampling method was utilized for internal validation of the model, the concordance index (C-index) was used to assess discrimination and calibration curves were presented to assess model calibration. The Kaplan-Meier method was used to plot survival curves after risk grouping, and Cox regression was used to compare disease-free survival between subgroups. Results: Age (HR=1.020, 95%CI: 1.008 to 1.033, P=0.001), T stage (T3:HR=1.995,95%CI:1.062 to 3.750,P=0.032;T4:HR=4.196, 95%CI: 2.188 to 8.045, P<0.01), N stage (N1: HR=1.834, 95%CI: 1.307 to 2.574, P<0.01; N2: HR=3.970, 95%CI: 2.724 to 5.787, P<0.01) and number of lymph nodes examined (≥36: HR=0.438, 95%CI: 0.242 to 0.790, P=0.006) were independently associated with disease-free survival. The C-index of the scoring model (model 1) based on age, T stage, N stage, and dichotomous variables of the lymph nodes examined (<12 and ≥12) was 0.723, and the C-index of the scoring model (model 2) based on age, T stage, N stage, and multi-categorical variables of the lymph nodes examined (<12, 12 to <24, 24 to <36, and ≥36) was 0.726. A scoring system was established based on age, T stage, N stage, and multi-categorical variables of lymph nodes examined, the 3-year DFS of the low-risk (≤1), middle-risk (2 to 4) and high-risk (≥5) group were 96.3% (n=711), 89.0% (n=626) and 71.4% (n=313), respectively. Statistically significant difference was observed among groups (P<0.01). Conclusions: The number of lymph nodes examined was an independent prognostic factor for disease-free survival after curative surgery in patients with stage Ⅰ to Ⅲ colon cancer. Incorporating the number of lymph nodes examined as a multi-categorical variable into the T and N staging system could improve prognostic predictive validity.
Male ; Female ; Humans ; Prognosis ; Neoplasm Staging ; Retrospective Studies ; Nomograms ; Lymph Nodes/pathology* ; Risk Factors ; Colonic Neoplasms/surgery*

Objective （ ） To explore the feasibility of using generalized estimating equation GEE to analyze the influencing - （ ） factors of high frequency hearing loss HFHL among noise exposed workers in an air conditioner manufacturing enterprise. Methods - The noise exposed workers in an air conditioner manufacturing industry who had been tested for pure tone hearing threshold twice or more from 2015 to 2019 were selected as the research subjects using the judgment sampling method. Data ， ， ， ， ， （ ） such as age length of service gender smoking alcohol consumption body mass index BMI and HFHL were collected. The Results influencing factors of HFHL were analyzed using the GEE. The detection rates of HFHL from 2015 to 2019 were ， ， ， ， ， 22.2% 23.8% 24.2% 24.1% and 20.9% respectively. Among them the detection rate of HFHL in 2019 was lower than that （ P ） ， ， in 2017 and 2018 all <0.001 . The GEE analysis results showed that the risks of HFHL in 2015 2016 2017 and 2018 were （ P ）， higher than that in 2019 all <0.01 regardless of interaction effects and after adjusting for confounding factors such as ， ［OR（ CI）］ （ - duration of noise exposure smoking and BMI. The odds ratios and 95% confidence intervals 95% were 1.19 1.07 ）， （ - ）， （ - ） （ - ）， 1.33 1.26 1.13 1.39 1.30 1.18 1.43 and 1.27 1.15 1.39 respectively. The risk of HFHL was higher in males than in （P ）， OR（ CI） （ - ） ， （P ）， OR females <0.01 and 95% was 3.78 3.00 4.77 . The older the age the higher the risk of HFHL <0.01 and （ CI） （ - ） Conclusion - 95% was 1.07 1.05 1.09 . The influencing factors of HFHL among noise exposed workers in the air conditioner industry are age and gender. GEE can be used to analyze the factors influencing the longitudinal data of HFHL in workers with noise exposure.

Automobiles ; Hearing Loss, High-Frequency ; Hearing Loss, Noise-Induced/etiology* ; Humans ; Male ; Noise, Occupational/adverse effects* ; Occupational Diseases/epidemiology* ; Occupational Exposure

This paper analyzed the clinical data of 17 patients with inhalation dimethyl sulfate poisoning in Changzhou Third People's Hospital, in order to understand the clinical characteristics, treatment and prognosis of patients with inhalation dimethyl sulfate poisoning, and guide clinicians to make effective measures in time. Dimethyl sulfate poisoning progresses rapidly and dangerously. The prognosis is usually better if the patients are separated from the toxic environment as soon as possible, given glucocorticoids in early and short-term, closely observed respiratory tract injury, and treated with endotracheal intubation and invasive mechanical ventilation when necessary.
Humans ; Respiration, Artificial ; Sulfuric Acid Esters

Humans ; Lung ; Pneumoconiosis/diagnostic imaging* ; Retrospective Studies ; Silicosis/diagnostic imaging* ; Tomography, X-Ray Computed

OBJECTIVE: To analyze the epidemiological characteristics of pneumoconiosis among migrant workers without liability subject(hereinafter referred to as Pneumoconiosis without Liability Subject) in Hunan Province. METHODS: The cases of pneumoconiosis without liability subject from 2017 to 2019 in Hunan Province were selected as the research subjects using typical sampling method. They were clinical diagnosis by occupational disease diagnostic institutions. The distributions of age, gender, length of service, area, type of work, type of pneumoconiosis, pneumoconiosis stage and the situation of poor households with filing and registration card were analyzed. RESULTS: A total of 18 870 cases of pneumoconiosis without liability subject were clinically diagnosed in Hunan Province from 2017 to 2019. The patients were mainly males(accounting for 99.8%), with the age ranged 50-65 years old(64.7%). Most of them had dust exposure service length of 5-29 years(78.4%). The cases of stage Ⅰ, Ⅱ and Ⅲ pneumoconiosis accounted for 32.2%, 26.0% and 41.8% respectively. The main types of disease were coal workers′ pneumoconiosis and silicosis(accounted for 99.3%). The first five geographical distributions were Chenzhou City, Zhuzhou City, Hengyang City, Yiyang City and Shaoyang City, accounting for 17.9%, 14.6%, 14.1%, 11.8% and 9.2% respectively. The distribution of work types were mainly mine-related jobs(91.3%). There were 1 774 cases who had complications(9.4%), of which the top three complications were emphysema, pulmonary and bronchial infection and tuberculosis. There were 3 662 cases with poor households archives and cards(19.4%). CONCLUSION: The hazards of pneumoconiosis among migrant workers in Hunan Province should not be ignored. In 2017, Hunan Province took the lead in launching a large-scale basic medical treatment and rescue operation for migrant workers with pneumoconiosis, which helped solve the problem of pneumoconiosis in migrant workers who had no professional history certification and responsible employer.

Objective To analyze the status of quality indicators(QI) on specimen acceptability and establish preliminary qual ity specification.Methods Web based External Quality Assessment system was used to collect data of laboratories partici pated in "Medical quality control indicators in clinical laboratory" from 2015 to 2017,including once in 2015 and 2017 and twice in 2016.Rate and sigma scales were used to evaluate incorrect sample type,incorrect sample container,incorrect fill level and anticoagulant sample clotted.The 25th percentile (P25) and 75th percentile (P75) of the distribution of each QI were employed to establish the high,medium and low specification.Results 5 346,7 593,5 950 and 6 874 laboratories sub mitted the survey results respectively.The P50 of biochemistry (except incorrect fill level),immunology and microbiology reach to 6σ.The P50 of clinical laboratory is 4 to 6σ except for incorrect sample container.There is no significant change of the continuous survey results.Based on results in 2017 to establish the quality specification,the P25 and P75 of the four QIs is 0 and 0.084 4 ％,0 and 0.047 6 ％,0 and 0.114 2 ％,0 and 0.078 4 ％,respectively.Conclusion According to the results of the survey,most laboratories had a faire performance in biochemistry,immunology and microbiology,and clinical laboratory needs to be strengthened.Laboratories should strengthen the laboratory information system construction to ensure the actual and reliable data collection,and make a long time monitoring to achieve a better quality.

Objective: To explore the survival factors and construct a prognostic index (PI) for oral squamous cell carcinoma (OSCC). Methods: From January 2004 to June 2016, a total of 634 patients with pathologically confirmed OSCC were recruited in a hospital of Fujian. The clinical and follow-up data of all the patients with pathologically confirmed OSCC were collected to identify the factors influencing the prognosis of OSCC. All the patients were randomly divided into two groups: modeling group (modeling dataset, n=318) and validation group (validation dataset, n=316). Randomization was carried out by using computer-generated random numbers. In the modeling dataset, survival rates were calculated using Kaplan-Meier method and compared using the log-rank test. Cox regression model was used to estimate the hazard ratio (HRs) and 95% confidence intervals (CIs) of prognosis factors. An PI for OSCC patients prognostic prediction model was developed based on β value of each significant variable obtained from the multivariate Cox regression model. Using the tertile analysis, patients were divided into high-risk group, moderate-risk group, and low-risk group according to the PI, the Akaike information criterion (AIC) and Harrell's c-statistic (C index) were used to evaluated the model's predictability. Results: Results from the multivariate Cox regression model indicated that aged ≥55 years (HR=2.22, 95%CI: 1.45-3.39), poor oral hygiene (HR=2.12, 95%CI: 1.27-3.54), first diagnosis of lymph node metastasis (HR=5.78, 95%CI: 3.60-9.27), TNM stage Ⅲ-Ⅳ (stage Ⅰ as reference) (HR=2.43, 95%CI: 1.10-5.37) and poor differentiation (well differentiation as reference) (HR=2.53, 95%CI: 1.60-4.01) were the risk factors influencing the prognosis of OSCC. The PI model had a high predictability in modeling group and validation group (AIC and C index were 1 205.80, 0.700 2 and 1 150.47, 0.737 3). Conclusion: Age, poor oral hygiene, first diagnosis of lymph node metastasis, TNM stage and histological grade were factors associated with the prognosis of OSCC, and the PI model has a certain significance in the clinical treatment of OSCC.
Carcinoma, Squamous Cell/therapy* ; China/epidemiology* ; Humans ; Lymphatic Metastasis ; Middle Aged ; Mouth Neoplasms/therapy* ; Prognosis ; Proportional Hazards Models ; Risk Factors ; Survival Rate ; Treatment Outcome