Barely Significant

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Considering the evidence of a possible trend of slight decrease of the overall lung cancer incidence during the same period [ 20 ], the latter assumption might have led to an under-estimation of SE of the final version of the proposed NSCLC-finding algorithm from 2014 onward (in 2014 the SE max was 39% and min 35%).
Using a procedure adapted from existent umbrella reviews [ 32 ], we will identify outcomes and interventions for which summary effects showed strong evidence of significance (p<0.001); were based on more than 1000 randomized participants; did not have large heterogeneity between studies (I 2 <75%); their 95% prediction interval excluded the null; extrapolation of the Egger regression line for infinite sample size still suggested a nominally significant effect (i.e., 95% confidence interval did not include the null); had no evidence for excess significance; came from systematic reviews and meta-analysis with a score of at least 9 on the AMSTAR-2 scale; came from systematic reviews and meta-analysis not funded by the entity developing or marketing the intervention and free from authors with a financial conflict of interest associated to the intervention.
The results showed that, due to the changes in land use types from unused land, forestland, arable land with high NPP values to urban and rural residential land, traffic land with low NPP values, and the changes in precipitation and temperature, the NPP in the study area showed an overall trend of decreasing first and then rising from 2000 to 2018.
The distribution of WY in Sichuan Province displays a decreasing trend from southeast to northwest, as well as strong geomorphological distribution characteristics. 3.2 Spatial variations in the effects of driving forces on ecosystem services The spatial variations in the effects of driving forces on ESs were identified by mapping the local regression coefficients of each driving force from the GWR model using ArcGIS 10.6 software (Esri, US).