Table 3 Studies reporting the relationship between frailty and thirty-day mortality patients undergoing surgery for colorectal cancer
Study | Design | Patient (n =) | Country | Frailty screening tool | Frailty Prevalence | Timing of assessment | Age (Median/ Mean; years) | % Male/Female | TNM Stage | Comments |
|---|---|---|---|---|---|---|---|---|---|---|
Artiles-Armas et al. (2021,) [34] | Prospective | 149 | Spain | Clinical Frailty Scale | 42 (CSHA CFS ≥ 4) | Pre-operative | 75 | 64/36 | I-IV | Frailty associated with increased mortality on UV analysis (P = 0.009) |
Miller et al. (2020,) [26] | Retrospective | 9,252 | USA | Modified Frailty Index (MFI-5) | 15 (MFI ≥ 2) | Pre-operative | NR (25% ≥ 65) | 58/42 | I-IV | Frailty associated with increased mortality on MV binary log regression (OR 20.8, 95% CI 6.2–70.0, P < 0.001) |
Reisinger et al. (2015,) [28] | Retrospective | 340 | Netherlands | Groningen Frailty Indicator | 25 (GFI ≥ 5) | Pre-operative | 69 | 50/50 | II-IV | Frailty not associated with increased mortality on UV binary log regression (P = 0.72) |
Souwer et al. (2018,) [30] | Retrospective | 139 | Netherlands | Geriatric 8 questionnaire | 50 (G8 ≤ 14) | Pre-operative | 77.8 | 55/45 | I-III | Frailty not associated with increased mortality on UV binary log regression (P = 1.00) |