Sentence examples for a large adverse effect from inspiring English sources

Exact(1)

However, the wide confidence intervals were consistent with a large protective effect, no effect, or a large adverse effect.

Similar(59)

For equal molar concentrations, 1,1,2-TCA [log Kow 2.47, ([Alvarez and Illman, 2006])] was more inhibitory than 1,2-DCP [log Kow 2.0, ([Alvarez and Illman, 2006])] which had a larger adverse effect than 1,2-DCA [log Kow 1.48, ([Alvarez and Illman, 2006])].

We have also reported that reduced BMP7 (Bone morphogenetic protein 7) levels in BMP7 +/− mice caused a larger adverse effect by METH binge treatment [23].

Therefore, obstructive events during REM sleep, as compared with NREM sleep, may have a larger adverse effect on insulin release and action.

Large trials that show a very large adverse effect of treatment would be required for the conclusions of the current meta-analysis to be materially changed; given the striking homogeneity of the current dataset, such findings can be regarded as unlikely.

Our estimates from over 10,000 responses to the APMS 2000 and 2007 show that all but three of the mental health conditions considered here have a statistically significant and relatively large adverse effect on health utility measured by both SF-6D and EQ-5D indices.

The IBIS II and TEAM studies provide good evidence that there is no moderate or large adverse effect of aromatase inhibitors on cognitive function when compared with placebo or tamoxifen.

For food security and risk it is essential to bear in mind that the IPCC AR5 crop models still do capture  a number of large adverse effects.

This meta-analysis found that long-term use of benzodiazepines was associated with moderate to large adverse effects on all areas of cognition, with visuospatial memory being the most commonly detected impairment.

However, the large adverse effects we observed add to concerns that use of these agents may substantially increase overall and cancer mortality.

If the tests were more efficient, the algorithm could be modified to use correlation thresholds instead of pre-defined set sizes when evaluating overlaps, and non-DE genes could be excluded from any analysis without large adverse effects on run time due to varying universe size between dataset combinations.

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