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  1. 1043921
    “…The sequence lineages were typed with pangolin and the phylogenetic analysis was conducted with IQ-Tree2 and TreeTime. FINDINGS: During the study period, 5495 samples were submitted for diagnostic testing through the national influenza surveillance network (2121 [46·1%] of 4021 samples with complete demographic data were from female individuals and 2479 [53·9%] of 4021 samples were from male individuals). …”
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  2. 1043922
    “…Compared with TaTME, patients who underwent MiTME had no statistical difference in operation time (SMD -0.14; CI -0.31 to 0.33; I(2=)84.7%, P=0.116), estimated blood loss (SMD 0.05; CI -0.05 to 0.14; I(2=)48%, P=0.338), postoperative hospital stay (RR 0.08; CI -0.07 to 0.22; I(2=)0%, P=0.308), over complications (RR 0.98; CI 0.88 to 1.08; I(2=)25.4%, P=0.644), intraoperative complications (RR 0.94; CI 0.69 to 1.29; I(2=)31.1%, P=0.712), postoperative complications (RR 0.98; CI 0.87 to 1.11; I(2=)16.1%, P=0.789), anastomotic stenosis (RR 0.85; CI 0.73 to 0.98; I(2=)7.4%, P=0.564), wound infection (RR 1.08; CI 0.65 to 1.81; I(2=)1.9%, P=0.755), circumferential resection margin (RR 1.10; CI 0.91 to 1.34; I(2=)0%, P=0.322), distal resection margin (RR 1.49; CI 0.73 to 3.05; I(2=)0%, P=0.272), major low anterior resection syndrome (RR 0.93; CI 0.79 to 1.10; I(2=)0%, P=0.386), lymph node yield (SMD 0.06; CI -0.04 to 0.17; I(2=)39.6%, P=0.249), 2-year DFS rate (RR 0.99; CI 0.88 to 1.11; I(2=)0%, P = 0.816), 2-year OS rate (RR 1.00; CI 0.90 to 1.11; I(2=)0%, P = 0.969), distant metastasis rate (RR 0.47; CI 0.17 to 1.29; I(2=)0%, P = 0.143), and local recurrence rate (RR 1.49; CI 0.75 to 2.97; I(2=)0%, P = 0.250). …”
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  3. 1043923
    “…Patient demographic information at the time of index admission post initial CHD diagnosis (age, gender, sponsor marital status, insurance type, sponsor service branch, proximity to HQH based on patient zip code centroid, and provider region) and clinical information (complexity of CHD, common comorbid conditions, genetic syndromes, and prematurity) were used as covariates in multivariable logistic regression analysis. …”
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  4. 1043924
    “…Sixty-one CLL patients and 27 healthy controls received 2 doses of the Pfizer-BioNTech BNT162b2 vaccine, while 34 CLL patients and 3 healthy controls received 2 doses of the Moderna mRNA-1273 vaccine. The median time to analysis was 38 days (IQR, 27 to 83) for CLL patients and 36 days (IQR, 28 to 57) for healthy controls. …”
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  5. 1043925
    “…WIDER IMPLICATIONS OF THE FINDINGS: This study revealed for the first time increased concentration of TGFBI in plasma samples of patients with endometriosis, particularly those with minimal-to-mild endometriosis, compared to controls. …”
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  6. 1043926
    “…Learners felt that enough time was provided for the exercise. While some learners would have preferred an explanation in advance of the project in order to bring supplies from home, others felt that this was not necessary. …”
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  7. 1043927
    “…We chose not to implement the additional “radiation contamination” scenario (details available in the article text) due to time constraints; however, this is an additional option to address objective five. …”
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  8. 1043928
    por Díaz, Luis Antonio, Fuentes-López, Eduardo, Ayares, Gustavo, Idalsoaga, Francisco, Arnold, Jorge, Valverde, María Ayala, Perez, Diego, Gómez, Jaime, Escarate, Rodrigo, Villalón, Alejandro, Ramírez, Carolina A., Hernandez-Tejero, Maria, Zhang, Wei, Qian, Steve, Simonetto, Douglas A., Ahn, Joseph C., Buryska, Seth, Dunn, Winston, Mehta, Heer, Agrawal, Rohit, Cabezas, Joaquín, García-Carrera, Inés, Cuyàs, Berta, Poca, Maria, Soriano, German, Sarin, Shiv K., Maiwall, Rakhi, Jalal, Prasun K., Abdulsada, Saba, Higuera-de-la-Tijera, Fátima, Kulkarni, Anand V., Rao, P. Nagaraja, Salazar, Patricia Guerra, Skladaný, Lubomir, Bystrianska, Natália, Clemente-Sanchez, Ana, Villaseca-Gómez, Clara, Haider, Tehseen, Chacko, Kristina R., Romero, Gustavo A., Pollarsky, Florencia D., Restrepo, Juan Carlos, Castro-Sanchez, Susana, Toro, Luis G., Yaquich, Pamela, Mendizabal, Manuel, Garrido, Maria Laura, Marciano, Sebastián, Dirchwolf, Melisa, Vargas, Victor, Jiménez, César, Louvet, Alexandre, García-Tsao, Guadalupe, Roblero, Juan Pablo, Abraldes, Juan G., Shah, Vijay H., Kamath, Patrick S., Arrese, Marco, Singal, Ashwani K., Bataller, Ramon, Arab, Juan Pablo
    Publicado 2023
    “…We compared the AUC using DeLong's method and also performed a time-dependent AUC with competing risks analysis. …”
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  9. 1043929
  10. 1043930
    “…Women who were pregnant (aOR = 3.52, 95% CI: 2.83–4.38) at the time of the survey, and women within the richest households (aOR = 3.89, 95% CI: 2.97–5.10) were more likely to have health insurance coverage compared to their other counterparts. …”
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  11. 1043931
    “…Secondary outcomes were number of eligible patients, recruitment rates and retention rates throughout the study, time required for data collection, preoperative risk factors assessment and daily postoperative delirium assessments. …”
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  12. 1043932
    “…Meta-analysis showed statistically significant differences in HR’ WMD 3.27 (0.66, 5.87), MAP’ WMD 9.68 (6.13, 13.24), SBP’ WMD 5.42 (2.11, 8.73), DBP’ WMD 4.02 (1.15, 6.88), propofol dose’ SMD -1.39 (-2.45, -0.33), hypotension’ RR 0.30 (0.20, 0.45), bradycardia’ RR 0.33 (0.14, 0.77), hypoxemia or apnea’ RR 0.45 (0.23, 0.89), injection pain’ RR 0.28 (0.13, 0.60), intraoperative choking’ RR 0.62 (0.50, 0.77), intraoperative body movements’ RR 0.48 (0.29, 0.81) and overall incidence of adverse reactions’ RR 0.52 (0.39, 0.70).The indicators that were not statistically different were time to wake up’ WMD − 0.55 (-1.29, 0.19), nausea and vomiting 0.84’ RR (0.43, 1.67), headache and dizziness’ RR 1.57 (0.98, 2.50) and neuropsychiatric reaction’ RR 1.05 (0.28, 3.93). …”
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  13. 1043933
    “…Herein, for the first time we provide the data of ethnic and geographic variations in the prevalence of MCC among community-dwelling older people in Xinjiang, China. …”
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  14. 1043934
    “…METHODS: A total of 31,942 participants with multi-round PSA tests from the PLCO trial were included. Time-dependent receiver-operating-characteristic curves and area under curves (tdAUCs) were performed to determine the screening reference level and the optimal subgroup-specific progression indicator. …”
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  15. 1043935
    “…To estimate the role of MCL and RCL enactment in the increases in prevalence of diagnosed CUD and whether this differed between patients with and without chronic pain, staggered-adoption difference-in-difference analyses were used, fitting a linear binomial regression model with fixed effects for state, categorical year, time-varying cannabis law status, state-level sociodemographic covariates, a chronic pain indicator, and patient covariates (age group [18–34, 35–64; 65–75], sex, and race and ethnicity). …”
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  16. 1043936
  17. 1043937
    “…The changes in the Japanese Orthopedic Association score did not differ significantly between the study groups at the three time points after surgery. With respect to amelioration of neck pain and disability related to neck pain, patients in the MDDL group had a significantly greater decrease in the VAS and NDI component summary score than did those in the CDDL group at 1-year (VAS: −2.5 vs. −3.2, difference −0.7, 95% CI −1.1 to −0.2, P=0.0035; NDI: −13.6 vs. −19.3, difference −5.7, 95% CI −10.3 to −1.1, P=0.0159) and 2-years (VAS: −2.1 vs. −2.9, difference −0.8, 95% CI −1.4 to −0.2, P=0.0109; NDI: −9.3 vs. −16.0, difference −6.7, 95% CI −11.9 to −1.5, P=0.0127). …”
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  18. 1043938
    “…The purpose of this study is to describe concomitant injuries seen on MRI and at time of surgery for TSF and ACL patients, and to characterize posterior tibial slope in patients who sustain these injuries. …”
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  19. 1043939
    “…Similar trends were seen for SCB achievement rates at this time point (Table 2). Notably, there was no longer a significant difference in SCB achievement rates between the InSpace? …”
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  20. 1043940
    por Vasavada, Kinjal
    Publicado 2023
    “…Further work includes creation of a clinical risk calculator using important feature inputs, and the use of survival modeling to determine risk scores at various postoperative time points.…”
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