Search alternatives:
largest decrease » larger decrease (Expand Search), marked decrease (Expand Search)
values decrease » values increased (Expand Search)
linear decrease » linear increase (Expand Search)
teer decrease » mean decrease (Expand Search), greater decrease (Expand Search)
largest decrease » larger decrease (Expand Search), marked decrease (Expand Search)
values decrease » values increased (Expand Search)
linear decrease » linear increase (Expand Search)
teer decrease » mean decrease (Expand Search), greater decrease (Expand Search)
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1181
Model diagnostics for all death events.
Published 2025“…The largest cumulative effect was found at a lag of 8 days, with an ER of 1.546% (95% CI: 0.483% ~ 2.621%). …”
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1182
Model diagnostics for female death events.
Published 2025“…The largest cumulative effect was found at a lag of 8 days, with an ER of 1.546% (95% CI: 0.483% ~ 2.621%). …”
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1183
Model diagnostics for male death events.
Published 2025“…The largest cumulative effect was found at a lag of 8 days, with an ER of 1.546% (95% CI: 0.483% ~ 2.621%). …”
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1184
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1185
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1186
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1187
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1188
Data Sheet 1_Impact of multiple environmental factors on influenza–like illness in Fujian Province, China, 2015–2023: a multicity study.zip
Published 2025“…The NO₂–ILI association was non–linear, resembling an inverted “U” shape, with a risk peak at 40.5 μg/m<sup>3</sup>. …”
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1189
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1190
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1191
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1192
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1193
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1194
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1195
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1196
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1197
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1198
Table 1_The diagnostic and prognostic value of CXCL13, CXCL10, and CXCL8 in patients with neurosyphilis.docx
Published 2025“…To enhance the effectiveness of differential diagnosis, we employed logistic regression analysis to screen variables and developed a predictive model MODEL1. The results showed that the AUC value of MODEL1 was 0.888, and the calibration curve and DCA curve demonstrated good accuracy and clinical benefits of the model, demonstrating good predictive performance. …”
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1199
Image 1_The diagnostic and prognostic value of CXCL13, CXCL10, and CXCL8 in patients with neurosyphilis.jpeg
Published 2025“…To enhance the effectiveness of differential diagnosis, we employed logistic regression analysis to screen variables and developed a predictive model MODEL1. The results showed that the AUC value of MODEL1 was 0.888, and the calibration curve and DCA curve demonstrated good accuracy and clinical benefits of the model, demonstrating good predictive performance. …”
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1200