Table 2 Characteristics of PROMs as predictors in prognostic factor analyses and prediction models (n = 33)a)
Characteristics | Number of analyses/ models (%) |
|---|---|
PROM classification | Â |
Generic | 11 (33) |
Cancer-specific + lung cancer-specific | 7 (21) |
Cancer-specific | 4 (12) |
Lung cancer-specific | 4 (12) |
Generic + lung cancer-specific | 3 (9) |
Generic + cancer-specific | 2 (6) |
Combination of all three classifications | 2 (6) |
Construct measured by PROM | Â |
HRQOL | 19 (58) |
HRQOL + symptom burden | 10 (30) |
HRQOL + functional status | 2 (6) |
Symptom burden | 2 (6) |
Type of PROM score | Â |
Subdomain score | 12 (36) |
Overall summary score | 8 (24) |
Single item score | 7 (21) |
Subdomain score + overall summary score | 5 (15) |
Single item score + subdomain score | 1 (3) |
Cross-sectional vs. change in PROM score | Â |
Cross-sectional PROMs score | 25 (76) |
Change in PROMs scores | 4 (12) |
Both | 4 (12) |
Time point of PROM collection | Â |
Baseline | 24 (73) |
Baseline + at least once after treatment | 6 (18) |
After first treatment | 2 (6) |
Not reported | 1 (3) |