Image 2_Circulating growth differentiation factor-15 concentration and hypertension risk: a dose-response meta-analysis.tif by Zhengqing Yu (12641890)

“…</p>Conclusions<p>Circulating GDF-15 is positively and non-linearly associated with the prevalence of hypertension, with a plateau or slight decline after reaching a certain GDF-15 dose. …”

Table 4_Circulating growth differentiation factor-15 concentration and hypertension risk: a dose-response meta-analysis.docx by Zhengqing Yu (12641890)

“…</p>Conclusions<p>Circulating GDF-15 is positively and non-linearly associated with the prevalence of hypertension, with a plateau or slight decline after reaching a certain GDF-15 dose. …”

Table 1_Circulating growth differentiation factor-15 concentration and hypertension risk: a dose-response meta-analysis.docx by Zhengqing Yu (12641890)

“…</p>Conclusions<p>Circulating GDF-15 is positively and non-linearly associated with the prevalence of hypertension, with a plateau or slight decline after reaching a certain GDF-15 dose. …”

Table 3_Circulating growth differentiation factor-15 concentration and hypertension risk: a dose-response meta-analysis.docx by Zhengqing Yu (12641890)

“…</p>Conclusions<p>Circulating GDF-15 is positively and non-linearly associated with the prevalence of hypertension, with a plateau or slight decline after reaching a certain GDF-15 dose. …”

Table 2_Circulating growth differentiation factor-15 concentration and hypertension risk: a dose-response meta-analysis.docx by Zhengqing Yu (12641890)

“…</p>Conclusions<p>Circulating GDF-15 is positively and non-linearly associated with the prevalence of hypertension, with a plateau or slight decline after reaching a certain GDF-15 dose. …”

Table 1_Projections of population exposure to hot and dry events in the end of the 21st century on the Iberian Peninsula.docx by Virgílio A. Bento (12659133)

“…Two representative concentration pathways (RCPs), specifically RCP4.5 and RCP8.5, are considered to represent distinct greenhouse gas emission scenarios. This research reveals a significant projected increase in population exposure to both drought and warm months across the entire IP by the century’s end, with climate change identified as the primary driver of this escalation. …”

Parallel trend test. by Wei Wang (17594)

“…After the policy was implemented (with a positive relative time), the regression coefficient increased significantly and reached a peak at a relative time of 3, and then decreased slightly. …”

Table 4_Tracing priming effects in palsa peat carbon dynamics using a stable isotope-assisted metabolomics approach.csv by Christian Ayala-Ortiz (15255371)

“…</p>Discussion<p>This suggests that while litter inputs temporarily increase CO₂ emissions, they don’t sustain long-term acceleration of stored carbon decomposition or substantially decrease peat’s carbon store capacity. Our findings demonstrate how technological advancements in analytical tools can provide a more detailed view of carbon cycling processes in complex soil systems.…”

Table 3_Tracing priming effects in palsa peat carbon dynamics using a stable isotope-assisted metabolomics approach.csv by Christian Ayala-Ortiz (15255371)

“…</p>Discussion<p>This suggests that while litter inputs temporarily increase CO₂ emissions, they don’t sustain long-term acceleration of stored carbon decomposition or substantially decrease peat’s carbon store capacity. Our findings demonstrate how technological advancements in analytical tools can provide a more detailed view of carbon cycling processes in complex soil systems.…”

Table 1_Effects of vegetation restoration on soil fungi community structure and assembly process in a semiarid alpine mining region.docx by Yuanyuan Xue (6442661)

“…However, with prolonged restoration duration, we observed a significant decrease in α diversity accompanied by a corresponding increase in β diversity. …”

Table 2_Tracing priming effects in palsa peat carbon dynamics using a stable isotope-assisted metabolomics approach.csv by Christian Ayala-Ortiz (15255371)

“…</p>Discussion<p>This suggests that while litter inputs temporarily increase CO₂ emissions, they don’t sustain long-term acceleration of stored carbon decomposition or substantially decrease peat’s carbon store capacity. Our findings demonstrate how technological advancements in analytical tools can provide a more detailed view of carbon cycling processes in complex soil systems.…”

Table 6_Tracing priming effects in palsa peat carbon dynamics using a stable isotope-assisted metabolomics approach.csv by Christian Ayala-Ortiz (15255371)

“…</p>Discussion<p>This suggests that while litter inputs temporarily increase CO₂ emissions, they don’t sustain long-term acceleration of stored carbon decomposition or substantially decrease peat’s carbon store capacity. Our findings demonstrate how technological advancements in analytical tools can provide a more detailed view of carbon cycling processes in complex soil systems.…”

Table 7_Tracing priming effects in palsa peat carbon dynamics using a stable isotope-assisted metabolomics approach.csv by Christian Ayala-Ortiz (15255371)

“…</p>Discussion<p>This suggests that while litter inputs temporarily increase CO₂ emissions, they don’t sustain long-term acceleration of stored carbon decomposition or substantially decrease peat’s carbon store capacity. Our findings demonstrate how technological advancements in analytical tools can provide a more detailed view of carbon cycling processes in complex soil systems.…”

Table 5_Tracing priming effects in palsa peat carbon dynamics using a stable isotope-assisted metabolomics approach.csv by Christian Ayala-Ortiz (15255371)

“…</p>Discussion<p>This suggests that while litter inputs temporarily increase CO₂ emissions, they don’t sustain long-term acceleration of stored carbon decomposition or substantially decrease peat’s carbon store capacity. Our findings demonstrate how technological advancements in analytical tools can provide a more detailed view of carbon cycling processes in complex soil systems.…”

Genetic evidence linking gastroesophageal reflux disease to chronic kidney disease and kidney failure: a two-step Mendelian randomization study by Fanghong Zheng (8931326)

“…Interventions with these factors could significantly decrease the burden of CKD attributable to GERD.…”

GRADE judgements. by Da Huang (1306407)

“…Furthermore, there was no significant difference in the change in resting heart rate (RHR) (MD = 2.04, 95% CI: −2.71–6.78; P = 0.40) between the physical activity group and the control group, but there was a significant difference in the change in maximum heart rate (HR-max) (MD = 6.27, 95% CI: 1.75–10.97, P = 0.007). …”

Basic characteristics of the included studies. by Da Huang (1306407)

“…Furthermore, there was no significant difference in the change in resting heart rate (RHR) (MD = 2.04, 95% CI: −2.71–6.78; P = 0.40) between the physical activity group and the control group, but there was a significant difference in the change in maximum heart rate (HR-max) (MD = 6.27, 95% CI: 1.75–10.97, P = 0.007). …”

The data of meta-analysis. by Da Huang (1306407)

“…Furthermore, there was no significant difference in the change in resting heart rate (RHR) (MD = 2.04, 95% CI: −2.71–6.78; P = 0.40) between the physical activity group and the control group, but there was a significant difference in the change in maximum heart rate (HR-max) (MD = 6.27, 95% CI: 1.75–10.97, P = 0.007). …”

Risk of bias. by Da Huang (1306407)

“…Furthermore, there was no significant difference in the change in resting heart rate (RHR) (MD = 2.04, 95% CI: −2.71–6.78; P = 0.40) between the physical activity group and the control group, but there was a significant difference in the change in maximum heart rate (HR-max) (MD = 6.27, 95% CI: 1.75–10.97, P = 0.007). …”

Overall risk of bias assessment. by Da Huang (1306407)

“…Furthermore, there was no significant difference in the change in resting heart rate (RHR) (MD = 2.04, 95% CI: −2.71–6.78; P = 0.40) between the physical activity group and the control group, but there was a significant difference in the change in maximum heart rate (HR-max) (MD = 6.27, 95% CI: 1.75–10.97, P = 0.007). …”