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  1. 74901
    “…Moreover, it has been clearly shown that anti-SmD1(83-119) was more sensitive than anti-Sm in discriminating autoimmune diseases from nonautoimmune disorders in patients with arthralgia or hematuria. …”
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    Evaluating Anti-SmD1-amino-acid 83-119 Peptide Reactivity in Children with Systemic Lupus Erythematosus and Other Immunological Diseases
  2. 74902
    “…CONCLUSIONS: We validated (68)Ga-DOTATATE PET as a novel marker of atherosclerotic inflammation and confirmed that (68)Ga-DOTATATE offers superior coronary imaging, excellent macrophage specificity, and better power to discriminate high-risk versus low-risk coronary lesions than [(18)F]FDG. …”
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    Detection of Atherosclerotic Inflammation by (68)Ga-DOTATATE PET Compared to [(18)F]FDG PET Imaging
  3. 74903
    “…Regional analysis of variance and a support vector machine were used to compare and discriminate the clinical groups, respectively. We also examined the (18)F-AV-1451 autoradiographic binding in post-mortem tissue from patients with Alzheimer’s disease, progressive supranuclear palsy, and a control case to assess the (18)F-AV-1451 binding specificity to Alzheimer’s and non-Alzheimer’s tau pathology. …”
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    (18)F-AV-1451 positron emission tomography in Alzheimer’s disease and progressive supranuclear palsy
  4. 74904
    “…. ≤40%; cutoffs based on best discriminative ability in univariable Cox regression analysis with disease-free survival (DFS) as endpoint] with regard to baseline and tumor characteristics. …”
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    Impact of the Ki-67 labeling index and p53 expression status on disease-free survival in pT1 urothelial carcinoma of the bladder
  5. 74905
    “…The IRT analysis showed that no items were found to have disordered thresholds. For most scales, discriminant validity was acceptable; however, 2 pairs of dimensions were highly correlated; dimensions 1 and 5 (r=.95), and dimensions 6 and 7 (r=.96). …”
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    A Multidimensional Tool Based on the eHealth Literacy Framework: Development and Initial Validity Testing of the eHealth Literacy Questionnaire (eHLQ)
  6. 74906
    “…The various groups were segregated by linear discriminant analysis. RESULTS: The previously observed decreased hippocampal volume in patients and association of small hippocampal volume with high blood GPx activity (reflecting high oxidative status) (Baumann &al, 2016) was due to the contribution of the traumatized group. …”
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    16.2 CHILDHOOD TRAUMA ENGAGES OXIDATIVE STRESS, HIPPOCAMPUS ALTERATIONS, AND POORER CLINICAL OUTCOME IN EARLY PSYCHOSIS PATIENTS
  7. 74907
    “…Correlation analyses were performed to examine the convergent validity of the SNS with the observer rated negative symptom scale. Convergent and discriminant validities were tested with Pearson’s correlations. …”
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    S213. CAN PATIENTS WITH TREATMENT RESISTANT SCHIZOPHRENIA RELIABLY REPORT NEGATIVE SYMPTOMS? A PILOT STUDY USING THE SELF-EVALUATION OF NEGATIVE SYMPTOMS SCALE
  8. 74908
    “…The ability of transcript signatures (implemented as disease risk scores) to discriminate KD cases from controls was assessed by area under the curve (AUC), sensitivity, and specificity at the optimal cut point according to the Youden index. …”
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    Diagnosis of Kawasaki Disease Using a Minimal Whole-Blood Gene Expression Signature
  9. 74909
    “…The k-means clustering algorithm was applied to users’ pain volatility scores at the first and sixth month of app use to establish a threshold discriminating low from high volatility classes. Subsequently, we extracted 130 demographic, clinical, and app usage features from the first month of app use to predict these 2 volatility classes at the sixth month of app use. …”
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    Defining and Predicting Pain Volatility in Users of the Manage My Pain App: Analysis Using Data Mining and Machine Learning Methods
  10. 74910
    “…Functional analysis using the genes regulated by the studied miRNAs showed that they are involved in biological pathways and cellular processes that are critical for the establishment of H. pylori infection and for the onset, development and progression of GC. hsa-miR-10a, -miR-21, -miR-135b, -miR-148a, -miR-150, -miR-215, -miR-483 and -miR-664a were able to discriminate NC from other tissues with great accuracy (AUC>0.85). …”
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    Epigenetic Field Cancerization in Gastric Cancer: microRNAs as Promising Biomarkers
  11. 74911
    “…Interestingly, MacroH2A1.1, but more impressively DDX17 (AUC = 0.93; p < 0.0001) and QKI (AUC = 0.94; p < 0.0001), accurately discriminated cancerous from noncancerous prostate tissues. …”
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    Histone variant MacroH2A1 is downregulated in prostate cancer and influences malignant cell phenotype
  12. 74912
    “…Body mass index (BMI) constituted as a discriminating factor for the study groups: obese group: BMI ≥ 30 kg/m(2) (29 patients, F/M: 13/16, mean age: 55.13 ± 10.1 years) and non-obese group BMI < 30 kg/m(2) (60 patients, F/M: 18/42, mean age: 57.17 ± 9.0 years). …”
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    Left atrial function in obese and non-obese patients undergoing percutaneous pulmonary vein isolation
  13. 74913
    por carnero, rodrigo, ANTONIO, ECHEGARAY
    Publicado 2019
    “…A ROC curve establishes the cut-off point of 26 ng / ml to discriminate the risk of developing MS depending on the value of 25 (OH) D: sensitivity 72.2%, 95% confidence interval (65.1, 78.6 ), specificity 66.4%; 95% CI (57.2, 74.8). …”
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    SUN-138 Association Between The Deficit Of 25 (oh) Vitamin D, Metabolic Syndrome And New Onset Of Type 2 Diabetes
  14. 74914
    “…OBJECTIVE: The study aimed to examine the ability of combination of physical activity and indoor location features, extracted at baseline, on a cohort of 154 rehabilitation-dwelling patients to discriminate between subacute care patients who are re-admitted to the hospital versus the patients who are able to stay in a community setting. …”
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    A Combination of Indoor Localization and Wearable Sensor–Based Physical Activity Recognition to Assess Older Patients Undergoing Subacute Rehabilitation: Baseline Study Results
  15. 74915
    “…Images were evenly split between the 2 classes, with 2457 smoking images (50.1%) and 2445 nonsmoking images (49.9%). The final model discriminated smoking vs nonsmoking environments with a mean (SD) AUC of 0.840 (0.024) (accuracy [SD], 76.5% [1.6%]). …”
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    Identifying Smoking Environments From Images of Daily Life With Deep Learning
  16. 74916
    “…In relation to the contrasted groups analysis, it clearly discriminated the differences on the sub-scores of Activities of Daily Life (ADL), spiritual and psychological problems and needs between male and female patients; ADL, physical, social and financial problems and needs between age groups; and autonomic problems and needs between patients with different cancer stages. …”
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    Psychometric assessment of the Chinese version of the Problems and Needs in Palliative Care questionnaire-short version in advanced cancer patients
  17. 74917
    “…Microbial diversity and composition were analyzed by targeting to 16S rDNA. Linear discriminant analysis effect size (LEfSe) was carried out to identify significantly different bacteria. …”
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    Relationship between alterations of urinary microbiota and cultured negative lower urinary tract symptoms in female type 2 diabetes patients
  18. 74918
    “…RESULTS: The LNA-RT-PCR could discriminate rtM204I mutant-type (17 patients, 4.2%) from rtM204 wild-type (386 patients, 95.8%) in 403 of 410 patients (98.3% sensitivity). …”
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    Tenofovir is a more suitable treatment than entecavir for chronic hepatitis B patients carrying naturally occurring rtM204I mutations
  19. 74919
    “…No structural example exists to date of how a TCR can discriminate between a neoantigen and the self antigen. …”
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    3348 Structural Determinants of Neoantigen Immunogenicity for Cancer Therapy
  20. 74920
    “…The area under the ROC curve revealed that 72-hr CFB has good discriminative power in associating the development of MODS (0.644, p = 0.002) and predicting subsequent 28-day mortality (0.704, p < 0.0001). …”
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    Fluid balance correlates with clinical course of multiple organ dysfunction syndrome and mortality in patients with septic shock
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