| Literature DB >> 33046017 |
Mounia Amzerin1,2, Mohamed Layachi3, Aziz Bazine4, Rachid Aassab5, Samia Arifi6, Zineb Benbrahim6, Mohamed Reda Khmamouche7, Mouna Kairouani8, Hanan Raiss9, Noura Majid10, Saloua Ouaouch11, Mohammed Ichou7, Said Afqir8, Nawfal Mellas6, Mohamed Fetohi4, Rachid Razine12,13, Hassan Errihani14.
Abstract
BACKGROUND: Moroccan incidence of cancer is increasing with the lengthening of life expectancy. Data regarding elderly Moroccan cancer patients are lacking. In the context of our project aiming to develop an adapted version of the Comprehensive Geriatric Assessment CGA to the Moroccan population, we launched the first Moroccan multicenter transverse study to explore the characteristics of elderly Moroccan cancer patients.Entities:
Keywords: Cancer; Elderly; G8; Geriatric oncology; Morocco; Multicenter study; Religious practice
Mesh:
Year: 2020 PMID: 33046017 PMCID: PMC7552478 DOI: 10.1186/s12885-020-07458-0
Source DB: PubMed Journal: BMC Cancer ISSN: 1471-2407 Impact factor: 4.430
Fig. 1Morocco map showing the location of the departments of Medical Oncology included in the study. The included centers are located in the following cities: Al Hoceima, Oujda, Fez, Meknes, Rabat, Beni-Mellal and Agadir. The base map has been taken, with permission, from the website https://d-maps.com/carte.php?num_car=22750&lang=fr
Socio-demographic characteristics of the whole population included
| N | % | |
|---|---|---|
| | 63 | 38.4 |
| | 63 | 38.4 |
| | 3 | 1.8 |
| | 35 | 21.3 |
| | 37 | 14% |
| | ||
| | 27 | 21% |
| | 59 | 45.7 |
| | 52 | 40.3 |
| | 17 | 1.2 |
| | 1 | 0.8 |
| | 101 | 62 |
| | 84 | 51.2 |
| | 80 | 48.8 |
| | 106 | 65 |
| | 57 | 35 |
| | 164 | 100 |
| | 2 | 1.3 |
| | 100 | 62.5 |
| | 3 | 1.9 |
| | 55 | 34.4 |
| | 12 | 7.7 |
| | 32 | 20.5 |
| | 56 | 35.9 |
| | 56 | 35.9 |
| | 87 | 53.4 |
| | 32 | 19.6 |
| | 24 | 14.7 |
| | 17 | 10.4 |
| | 2 | 1.2 |
| 39 | 24.2 | |
| 19 | 11.8 | |
| 85 | 52.8 | |
| 11 | 6.8 | |
| 34 | 21.1 | |
| | 72 | 46.2 |
| | 42 | 26.9 |
| | 18 | 11.5 |
| | 11 | 7.1 |
| | 13 | 8.3 |
| | 100 | 61.3 |
| | 12 | 7.4 |
| | 14 | 8.6 |
| | 29 | 17.8 |
| | 3 | 1.8 |
| | 5 | 3.1 |
| 7 | 4.3 | |
| 72 | 44.4 | |
| 100 | 61.7 | |
| 6 | 3.7 | |
| 0 | 0 | |
| | 22 | 13.7 |
| | 98 | 60.9 |
| | 41 | 25.5 |
| 25 | 15.3 | |
| | 94 | 57.7 |
| | 52 | 31.9 |
| | 4 | 2.5 |
| | 13 | 8 |
| | 147 | 89.6 |
| | 17 | 10.4 |
| | 0 | 0 |
| 20 | 12.2 | |
Clinical data in the whole population included
| N | % | |
|---|---|---|
| 50 | 30.5 | |
| 42 | 25.6 | |
| 11 | 6.7 | |
| 9 | 5.5 | |
| 24 | 14.7 | |
| 40 | 24.4 | |
| 12 | 7.3 | |
| 23 | 14.2 | |
| 11 | 6.8 | |
| 8 | 4.9 | |
| 54 | 32.9 | |
| | 42 | 83.7 |
| | 7 | 14.3 |
| | 28 | 18.9 |
| | 81 | 54.7 |
| | 39 | 26.4 |
| | 87 | 53.7 |
| | 75 | 46.3 |
| | 3.21 [0;5] | |
| | 56 | 35.4 |
| | 47 | 29.7 |
| | 40 | 25.3 |
| | 15 | 9.5 |
| | 38 | 23.2 |
| | 26 | 15.9 |
| | 23 | 14 |
| | 13 | 7.9 |
| | 13 | 7.9 |
| | 10 | 6.1 |
| | 9 | 5.5 |
| | 32 | 19.5 |
| | 41 | 25.2 |
| | 22 | 13.5 |
| | 72 | 44.2 |
| | 28 | 17.1 |
| | 10 | 6.1 |
| | 13 | 8 |
| | 117 | 71.8 |
| | 23 | 14.1 |
| 140 | 88.6 | |
| 14 | 8.9 | |
| 5 | 3.2 | |
| 10 | 6.3 | |
| 4 | 2.5 | |
| 5 | 3 | |
| | 130 | 80.7 |
| | 31 | 19.2 |
| 5 | 3.1 | |
| | 57 | 34.8 |
| | 107 | 65.2 |
Frailty and daily habits in the whole population included
| N | % | |
|---|---|---|
| | 10.87 ± 3.23 | |
| | 26 | 16.6 |
| | 131 | 83.5 |
| | 126 | 76.8 |
| | 24 | 14.6 |
| | 14 | 8.5 |
| | 113 | 68.9 |
| | 35 | 21.3 |
| | 16 | 9.8 |
| | 84 | 51.2 |
| | 53 | 32.3 |
| | 27 | 16.5 |
| | 113 | 69.3 |
| | 38 | 23.3 |
| | 12 | 7.4 |
| | 82 | 50 |
| | 49 | 29.9 |
| | 33 | 20.1 |
| | 20 | 12.3 |
| | 20 | 12.3 |
| | 122 | 75.3 |
| | 64 | 39 |
| | 61 | 37.2 |
| | 39 | 23.8 |
| 146 | 93.6 | |
| 98 | 62.8 | |
| 56 | 35.9 | |
| 142 | 86.6 | |
| 47 | 28.7 | |
| 102 | 62.2 | |
| 12 | 7.3 | |
| | 116 | 71.2 |
| | 47 | 28.8 |
| 35 | 21.3 | |
| 30 | 18.4 | |
QoL scores in the whole population included
| Median | Mean | |
|---|---|---|
| | 46.43 [20;73.33] | 47.43 ± 32.36 |
| | 50 [00;66.67] | 44.88 ± 37.23 |
| | 66.67 [50;83.33] | 68.20 ± 28.91 |
| | 66.67 [33,33;83.33] | 61.86 ± 31.77 |
| | 100 [66.67;100] | 79.75 ± 31.08 |
| | 55.27 ± 33.99 | |
| | 0 [00;33.33] | 18.81 ± 28.63 |
| | 33.33 [00;66.67] | 41.10 ± 35.82 |
| | 33.33 [00;66.67] | 29.24 ± 34.50 |
| | 33.33 [00;66.67] | 34.35 ± 37.48 |
| | 33.33 [00;66.67] | 38.24 ± 39.41 |
| | 0 [00;33.33] | 23.72 ± 33.27 |
| | 0 [00;33.33] | 11.24 ± 23.48 |
| | 100 [33.33;100] | 69.12 ± 39.29 |
| 52.20 ± 25.87 | ||
Significant difference in arthrosis, predited survival, falls, prayer and financial difficulties according to age
| 65–70 | ≥ 71 | P | |
|---|---|---|---|
| 7 (11.3) | 32 (31.7) | 0.003 | |
| 85.27 ± 6 .99 | 77.03 ± 6.59 | < 0.001 | |
| 14 (22.6) | 39 (38.6) | 0.03 | |
| 31 (50) | 70 (62.6) | 0.01 | |
| 51.66 ± 42.54 | 71.36 ± 38.40 | 0.03 |
Significant differences in sociodemographic characterisctics, toxic habits, cooking and financial difficulties according to sex
| Male | Female | P | |
|---|---|---|---|
| < 0.001 | |||
| | 1 (1.2) | 1 (1.3) | |
| | 73 (89) | 27 (34.6) | |
| | 1 (1.2) | 2 (2.6) | |
| | 7 (8.5) | 48 (61.5) | |
| < 0.001 | |||
| | 20 (24.1) | 67 (83.8) | |
| | 27 (32.5) | 5 (6.3) | |
| | 19 (22.9) | 5 (6.3) | |
| | 15 (18.1) | 2 (2.5) | |
| | 2 (2.4) | 0 | |
| 39 (46.4) | 0 | < 0.001 | |
| 2 (2.4) | 17 (21.1) | < 0.001 | |
| 11 (13.1) | 0 | 0.001 | |
| 0.02 | |||
| | 30 (36.6) | 42 (56.8) | |
| | 22 (26.8) | 20 (27) | |
| | 11 (13.4) | 7 (9.5) | |
| | 10 (12.2) | 1 (1.4) | |
| | 9 (11) | 4 (5.4) | |
| < 0.001 | |||
| | 38 (45.2) | 62 (78.5) | |
| | 9 (10.7) | 3 (3.8) | |
| | 11 (13.1) | 3 (3.8) | |
| | 22 (26.2) | 7 (8.9) | |
| | 2 (2.4) | 1 (1.3) | |
| | 2 (2.4) | 3 (3.8) | |
| < 0.001 | |||
| | 27 (32.5) | 67 (83.3) | |
| | 52 (62.7) | 0 | |
| | 4 (4.8) | 0 | |
| | 0 | 13 (16.3) | |
| < 0.001 | |||
| | 67 (79.8) | 80 (100) | |
| | 17 (20.2) | 0 | |
| | 0 | 0 | |
| 1 (1.2) | 23 (29.1) | < 0.001 | |
| < 0.001 | |||
| | 9 (11) | 11 (13.8) | |
| | 2 (2.4) | 18 (2.5) | |
| | 71 (86.6) | 51 (63.8) | |
| 24 (28.9) | 6 (7.5) | < 0.001 | |
| 61.66 ± 39.36 | 76.30 ± 38.08 | 0.01 |
Comparison in daily habits, religious practice and QOL scores according to G8 status
| G8 > 14 | G8 < or = 14 | p | |
|---|---|---|---|
| 20% | 80% | 0.84 | |
| 0.24 | |||
| 17% | 83% | ||
| 24.6% | 75.4% | ||
| 0.76 | |||
| 0% | 100% | ||
| 79.4% | 20.6% | ||
| 93.9% | 84.7% | 0.25 | |
| 63.6% | 19.8% | < 0.001 | |
| 36.4% | 68.7% | 0.001 | |
| 3% | 8.4% | 0.29 | |
| 97% | 92.7% | 0.69 | |
| 84.8% | 56.9% | 0.003 | |
| 18.2% | 40.7% | 0.017 | |
| 57.6% | 21.5% | < 0.001 | |
| 45.5% | 15.3% | < 0.001 | |
| 39.4% | 13.1% | < 0.001 | |
| 68.48 ± 30.51 | 42.13 ± 30.72 | < 0.001 | |
| 77.27 ± 29.84 | 57.94 ± 31.16 | 0.002 | |
| 96.46 ± 15.45 | 75.51 ± 32.62 | < 0.001 | |
| 52.52 ± 44.11 | 73.33 ± 36.98 | 0.01 |
Significant differences of QoL scores according to Medical coverage Regimen
| RAMED | AMO and Military Medical Coverage | P | |
|---|---|---|---|
| 58.33 [33.33; 83.33] | 75.00 [58,33; 100.00] | 0.003 | |
| 100.00 [100; 100] | 33.33 [33.33; 75.00] | < 0.001 |