Sentence examples for survival scoring from inspiring English sources

Rades's survival scoring system [ 20] also predicted the survival rates in our cohort, with the survival rates in the present study being higher in the lower score classes than in the original dataset.

A survival scoring system specifically for patients with BM from SCLC, as proposed by Rades et al. [ 20], also allowed stratification by 6-month patient survival rates: 15 points: 78% (95% CI: 51 91), 9 12 points: 66% (95% CI: 49 79), 5 8 points: 43% (95% CI: 18 66) (P=0.006, log-rank test) (Table  4).

To better stratify AML patients into different risk groups, a survival scoring system incorporating TP53 mutation and nine other prognostic factors, including age, WBC counts, cytogenetics, NPM1/FLT3-ITD, CEBPA, IDH2, RUNX1, WT1 and DNMT3A mutations, into survival analysis was formulated.

Both variables were actually incorporated into the above survival scoring systems and these findings were also reproduced in prior studies focusing mainly on salvage treatment [ 9, 13].

The comparatively weak performance of the differential survival scoring models was not a result of low response frequencies (as we observed with competition); large percentages of students utilized this idea in their explanations of evolutionary change (e.g., 60.3%; Figure 2).

Briefly, 3 cm NGM plates with each 25 30 synchronous four- or 5-day-old adults were shifted from their normal growth temperature to 35 °C and survival scored as indicated as touch provoked movement.

Although age, tumor classification, cigarette smoking and other variables were predictors of survival, scores on emotional well-being tests had no predictive value.

Regardless of survival, scores for the 23 participants were generally decreasing immediately following therapy escalation (p = 0.016).

The present study aimed to create a survival score for patients requiring palliative irradiation for locally advanced lung cancer.

A complete resistance score (0 1) was given to progenies expressing 91 100% seedling survival, resistance scores of 2 3 were for progenies with 76 90% seedling survival, scores of 4 7 were for progenies with 11 75% survival, and scores of 8 9 were for progenies with complete susceptibility and 0 10% survival.

The pharmacophore hypothesis yielded a statistically significant 3D-QSAR model, with a correlation coefficient of 0.886 and a survival score of 4.97 for training set molecules.