The prevalence of NAFLD is lower than the estimates from developed countries. But it still reaches the epidemic proportions, and its prevalence is increasing. Meanwhile, a nationwide prevalence investigation should be conducted to confirm the estimates and determine more accurate rates for specific populations.

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PurposeThis study aimed to construct two prognostic nomograms to predict survival in patients with non-small-cell lung cancer (NSCLC) and small-cell lung cancer (SCLC) using a novel set of clinical parameters.Patients and MethodsTwo nomograms were developed, using a retrospective analysis of 5384 NSCLC and 647 SCLC patients seen during a 10-year period at Xiang Ya Affiliated Cancer Hospital (Changsha, China). The patients were randomly divided into training and validation cohorts. Univariate and multivariate analyses were used to identify the prognostic factors needed to establish nomograms for the training cohort. The model was internally validated via bootstrap resampling and externally certified using the validation cohort. Predictive accuracy and discriminatory capability were estimated using concordance index (C-index), calibration curves, and risk group stratification.ResultsThe largest contributor to overall survival (OS) prognosis in the NSCLC nomogram was the therapeutic regimen and diagnostic method parameters, and in the SCLC nomogram was the therapeutic regimen and health insurance plan parameters. Calibration curves for the nomogram prediction and the actual observation were in optimal agreement for the 3-year OS and acceptable agreement for the 5-year OS in both training datasets. The C-index was higher for the NSCLC cohort nomogram than for the TNM staging system (0.67 vs. 0.64, P = 0.01) and higher for the SCLC nomogram than for the clinical staging system (limited vs. extensive) (0.60 vs. 0.53, P = 0.12).ConclusionTreatment regimen parameter made the largest contribution to OS prognosis in both nomograms, and these nomograms might provide clinicians and patients a simple tool that improves their ability to accurately estimate survival based on individual patient parameters rather than using an averaged predefined treatment regimen.

BackgroundTuberculosis (TB) is one of the most common infectious diseases worldwide. Insufficient TB knowledge may increase the risk of contracting the disease among medical students. The purpose of this study was to assess the level of TB knowledge and analyse related determinants among medical students.MethodsA cross-sectional study was performed among final-year medical students from three main undergraduate medical universities in Hunan Province. TB knowledge, attitude and practice were assessed using a questionnaire. A t-test and multiple linear regression analysis were conducted to explore the association between TB knowledge and influencing factors.ResultsThe total mean percentage of correct answers for TB knowledge was 44.4% (SD 13.5%), including 52.5% (SD 16.8%) for epidemiology and prevention, 35.7% (SD 16.1%) for diagnosis, and 47.5% (SD 22.7%) for treatment. Medical students who reported observing at least one TB case and an X-ray of a TB patient had a higher percentage of correct answers for epidemiology and prevention (54.4% vs 43.9%, p < 0.001; 54.3% vs 42.1%, p < 0.001), diagnosis (37.2% vs 29.0%, p < 0.001; 37.1% vs 27.5%, p < 0.001), treatment (50.0% vs 36.0%, p < 0.001; 49.5% vs 35.7%, p < 0.001) and total score (46.2% vs 36.2, p < 0.001; 46.0% vs 34.7%, p < 0.001). Older medical students (≥23 years) had greater knowledge than younger medical students (< 23 years) regarding diagnosis (37.2% vs 31.7%, p < 0.001). The multivariable linear regression analysis determined an association between observing at least one TB case and an X-ray of a TB patient and greater knowledge of epidemiology and prevention (β = 5.6, 95% CI: 2.3, 8.9; β = 8.2, 95% CI: 4.6, 11.8), diagnosis (β = 3.9, 95% CI: 0.8, 7.1; β = 5.7, 95% CI: 2.2, 9.2) and treatment (β = 10.1, 95% CI: 5.6, 14.5; β = 7.0, 95% CI: 2.2, 11.8) and a higher total score (β = 5.5, 95% CI: 2.9, 8.1; β = 6.6, 95% CI: 3.8, 9.5). Moreover, an older age (≥23 years) was associated with more accurate knowledge of diagnosis (β = 3.9, 95% CI: 1.8, 6.1) and a higher total score (β = 2.8, 95% CI: 1.1, 4.6).ConclusionPoor TB knowledge was observed among medical students, which implied a need to innovate our current infectious disease curriculum to promote TB knowledge and practices among medical students.