Sentence examples for mean Number needed from inspiring English sources

Exact(1)

The mean number needed to treat (NNT), defined as the mean number of pigmented lesions needed to be excised to identify one melanoma, among 468 GPs in Perth, Australia, was 29 and ranged from 83 in the youngest patients (≤19 years) to 11 in the oldest patients (≥70 years).

Similar(59)

Note: N = 984 Informal caregiver mean number of additional professional support needs 4.9, SD was 6.6.

To illustrate basic issues that have to be taken into account when study results are presented by means of the number needed to treat (NNT).

The intervention harm signal was remarkably wide: Absolute risk increase ranged from 2.6 to 29%% (mean 5%%), and the number needed to harm ranged from 3.5 to 38.5 (mean 20).

Based on these data, this means that on average the number needed to treat (i.e. the number of smokers successfully treated for depression during the study period) to yield one additional ex-smoker at final follow-up would be 7.29595% CI = 5.2 12.0).

The absolute risk increases (ARIs) ranged widely from 2.6 to 29%% (mean 13%%) such that the number needed to harm also ranged widely from 3.5 to 38.5 (mean 20) (Table 2; Fig. 2).

That means that the number required to treat is same as the number needed to provoke adverse events.

CI: Confidence interval; MD: Mean difference; NNT: Numbers needed to treat; OR: Odds ratio; RISR: Radiation-induced skin reaction; RTOG: Radiation Therapy Oncology Group; RCT: Randomized-controlled trial; UV: Ultraviolet The authors declare that they have no competing interests.

Figure 3 shows the mean number of epochs needed to achieve the different user-defined precisions over 24 h for different baseline lengths specified by the STD of ionospheric constraint.

The mean number of blocks needed for refreshment was 4.89 with a mean performance of 15.41 correct responses per block.

The mean number of items needed to achieve this was 12. Sensitivity and specificity with the TPS as a criterion were 0.89 and 0.91, respectively.

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