| Literature DB >> 31993822 |
Melissa S Y Thong1, Lina Jansen2, Jenny Chang-Claude3,4, Michael Hoffmeister2, Hermann Brenner2,5,6, Volker Arndt7.
Abstract
BACKGROUND: Laparoscopic colectomy (LC) is a less invasive alternative to open colectomy (OC) in the treatment of stage I-III colon cancer. Research on the long-term (5-year post-diagnosis) health-related quality of life (HRQOL) of LC patients is scarce. Our study aimed to compare the long-term HRQOL and psychological well-being of stage I-III colon cancer survivors treated either with LC or OC.Entities:
Keywords: Colon cancer; Health-related quality of life; Laparoscopy; Long-term survivor; Population based; Propensity score
Mesh:
Year: 2020 PMID: 31993822 PMCID: PMC8144161 DOI: 10.1007/s00464-019-07360-2
Source DB: PubMed Journal: Surg Endosc ISSN: 0930-2794 Impact factor: 4.584
Demographic and clinical characteristics of sample stratified by surgery, before and after propensity score matching
| Unmatched sample | Matched sample | |||||
|---|---|---|---|---|---|---|
| Laparoscopy ( | Open colectomy ( | Laparoscopy ( | Open colectomy ( | |||
| Mean age at diagnosis | 65.0 ± 10.5 | 67.8 ± 9.8 | 0.01 | 64.9 ± 10.6 | 65.0 ± 11.3 | 0.96 |
| Gender | 0.88 | 0.74 | ||||
| Female | 37 (43) | 398(44) | 35 (43) | 64 (41) | ||
| Male | 49 (57) | 510 (56) | 46 (57) | 92 (59) | ||
| Tumor stage | 0.0002 | 0.76 | ||||
| I | 39 (45) | 229 (25) | 36 (44) | 63 (40) | ||
| II | 24 (28) | 397 (44) | 23 (28) | 44 (28) | ||
| III | 23 (27) | 28 (31) | 22 (27) | 49 (31) | ||
| Tumor location | < 0.0001 | 0.48 | ||||
| Distal | 71 (83) | 407 (45) | 66 (81) | 121 (78) | ||
| Proximal | 15 (17) | 500 (55) | 15 (19) | 35 (22) | ||
| Missing | – | 1 (0.1) | – | – | ||
| Chemotherapy | 0.09 | 0.07 | ||||
| Yes | 21 (24) | 302 (33) | 20 (25) | 56 (36) | ||
| No | 65 (76) | 606 (67) | 61 (75) | 100 (64) | ||
| Radiotherapy | 0.76 | – | ||||
| Yes | – | 3 (0.3) | 0 | 0 | ||
| No | 86 (100) | 905 (100) | 81 (100) | 156 (100) | ||
| Disease recurrence | 0.13 | 0.02 | ||||
| Yes | 13 (15) | 87 (10) | 13 (16) | 11 (7) | ||
| No | 73 (85) | 820 (90) | 68 (84) | 145 (93) | ||
| Missing | – | 1 (0.1) | – | – | ||
| Hospital volume | < 0.0001 | 0.37 | ||||
| Small | 1 (1) | 223 (25) | 1 (1) | 0 | ||
| Medium | 38 (44) | 297 (33) | 36 (44) | 72 (46) | ||
| Large | 47 (55) | 387 (43) | 44 (54) | 84 (54) | ||
| Missing | – | 1 (0.1) | – | – | ||
| Comorbidity at baseline | ||||||
| Angina pectoris | 6 (7) | 93 (10) | 0.33 | 5 (6) | 11 (7) | 0.79 |
| Heart failure | 4 (5) | 104 (11) | 0.05 | 3 (4) | 7 (4) | 0.77 |
| Hypertension | 35 (41) | 489 (54) | 0.01 | 33 (41) | 62 (40) | 0.88 |
| Diabetes mellitus | 10 (12) | 148 (16) | 0.25 | 9 (11) | 16 (10) | 0.83 |
| Marital status at baseline | 0.10 | 0.87 | ||||
| Single | 8 (9) | 45 (5) | 7 (9) | 13 (8) | ||
| Married | 60 (70) | 650 (72) | 57 (70) | 108 (70) | ||
| Divorced | 8 (14) | 51 (6) | 8 (10) | 12 (8) | ||
| Widowed | 10 (12) | 159 (18) | 9 (11) | 22 (14) | ||
| Missing | – | 3 (0.3) | – | 1 (1) | ||
| Education | 0.0006 | 0.98 | ||||
| ≤ 9 years | 40 (47) | 609 (67) | 37 (46) | 73 (47) | ||
| 10–11 years | 22 (26) | 154 (17) | 22 (27) | 42 (27) | ||
| > 12 years | 24 (28) | 145 (16) | 22 (27) | 41 (26) | ||
| Employment status at baseline | 0.0004 | 0.50 | ||||
| Full-/part-/self-employed | 33 (38) | 177 (19) | 31 (38) | 57 (37) | ||
| Housewife/man | 10 (12) | 93 (10) | 9 (11) | 10 (6) | ||
| Unemployed/ (early) retired | 43 (50) | 631 (69) | 41 (51) | 88 (56) | ||
| Other | – | 7 (1) | – | 1 (1) | ||
| Place of residence | 0.02 | 0.99 | ||||
| Village (pop: < 10,000) | 21 (24) | 324 (36) | 20 (25) | 38 (24) | ||
| Town | 27 (31) | 307 (34) | 26 (32) | 51 (33) | ||
| City (pop: > 100,000) | 38 (44) | 277 (31) | 35 (43) | 67 (43) | ||
| Body mass index (BMI; kg/m2) at baseline | 0.04 | 0.96 | ||||
| < 25 Normal* | 39 (45) | 312 (34) | 36 (44) | 67 (43) | ||
| 25–30 Overweight | 36 (42) | 393 (43) | 34 (42) | 66 (42) | ||
| > 30 Obese | 11 (13) | 202 (22) | 11 (14) | 23 (15) | ||
| Missing | – | 1 (0.1) | – | – | ||
| Smoking status at baseline | 0.55 | 0.73 | ||||
| Never | 35 (41) | 422 (46) | 32 (40) | 64 (41) | ||
| Former | 37 (43) | 374 (41) | 37 (46) | 64 (41) | ||
| Current | 13 (15) | 111 (12) | 12 (15) | 28 (18) | ||
| Missing | 1 (1) | 1 (0.1) | – | – | ||
| Alcohol use (g/day) at baseline | 0.80 | 0.96 | ||||
| < 0.9 | 24 (28) | 252 (28) | 23 (28) | 47 (30) | ||
| 0.9–6.1 | 19 (22) | 191 (21) | 18 (22) | 32 (21) | ||
| 6.2–14.4 | 12 (14) | 145 (16) | 12 (15) | 27 (17) | ||
| 14.55–30.7 | 19 (22) | 160 (18) | 18 (22) | 30 (19) | ||
| > 30.7 | 11 (13) | 146 (16) | 10 (12) | 20 (13) | ||
| Missing | 1 (1) | 14 (2) | – | – | ||
Propensity score derived from baseline covariates including age at diagnosis, gender, tumor stage, tumor location, hospital volume, education, comorbidity, employment status, place of residence, BMI, smoking status, alcohol use
*BMI-normal category includes underweight patients (BMI < 18.5). Both samples had comparable proportions; unmatched sample: LC = 2 (2%), OC = 21 (2%); matched sample: LC = 1 (1%), OC = 5 (3%)
Fig. 1Mean EORTC QLQ-C30 scores of stage I–III colon cancer patients, stratified by treatment and matched by propensity score (LC: n = 81, OC: n = 156). For functioning subscales, higher scores indicate better functioning; for symptom subscales, higher scores indicate higher symptom burden. Propensity score derived from baseline covariates including age at diagnosis, gender, tumor stage, tumor location, hospital volume, education, comorbidity, employment status, place of residence, BMI, smoking status, alcohol use
Fig. 2Mean EORTC QLQ-CR29 scores of stage I–III colon cancer patients, stratified by treatment and matched by propensity score (LC: n = 81, OC: n = 156). For functioning subscales, higher scores indicate better functioning; for symptom subscales, higher scores indicate higher symptom burden. Propensity score derived from baseline covariates including age at diagnosis, gender, tumor stage, tumor location, hospital volume, education, comorbidity, employment status, place of residence, BMI, smoking status, alcohol use
Fig. 3Percentage of patients who scored ≥ 4 on relevant single items of the Questionnaire on Distress in Cancer Survivors (QSC-R10) [28], using propensity score matched sample (LC: n = 81, OC: n = 156)
Fig. 4Percentage of patients who scored ≥ 3 on aspects of burden of cancer and its treatment, using propensity score matched sample (LC: n = 81, OC: n = 156)
Mean HRQOL scores of stage I-III colon cancer patients, stratified by treatment (unmatched sample)
| Laparoscopy ( | Open colectomy ( | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| Mean | SE | 95% CL | 95% CU | Mean | SE | 95% CL | 95% CU | ||
| EORTC QLQ-C30 | |||||||||
| Functioning | |||||||||
| Physical functioning | 77.9 | 2.9 | 72.3 | 83.5 | 76.1 | 1.1 | 73.9 | 78.3 | 0.54 |
| Role functioning | 77.2 | 3.8 | 69.8 | 84.7 | 72.9 | 1.5 | 69.9 | 75.8 | 0.25 |
| Emotional functioning | 74.9 | 3.1 | 68.9 | 81.0 | 72.6 | 1.2 | 70.2 | 75.0 | 0.45 |
| Cognitive functioning | 79.7 | 3.0 | 73.9 | 85.5 | 78.6 | 1.2 | 76.3 | 80.8 | 0.71 |
| Social functioning | 83.2 | 3.6 | 76.1 | 90.2 | 77.5 | 1.4 | 74.8 | 80.3 | 0.12 |
| Global health/QOL | 69.3 | 2.9 | 63.6 | 74.9 | 65.1 | 1.1 | 62.9 | 67.3 | 0.15 |
| Symptom | |||||||||
| Sleep problems | 31.9 | 4.4 | 23.2 | 40.5 | 35.4 | 3.0 | 29.5 | 41.3 | 0.50 |
| Fatigue | 27.1 | 3.1 | 21.1 | 33.1 | 30.3 | 2.1 | 26.2 | 34.5 | 0.38 |
| Pain | 22.8 | 3.3 | 16.2 | 29.4 | 22.4 | 2.3 | 17.9 | 26.9 | 0.92 |
| Dyspnea | 20.6 | 3.6 | 13.5 | 27.6 | 21.8 | 2.4 | 17.0 | 26.7 | 0.77 |
| Constipation | 13.2 | 3.3 | 6.7 | 19.7 | 17.5 | 2.3 | 13.0 | 21.9 | 0.29 |
| Diarrhea | 11.3 | 3.2 | 4.9 | 17.6 | 18.4 | 2.2 | 14.1 | 22.7 | 0.06 |
| Appetite loss | 6.0 | 2.5 | 1.0 | 11.0 | 9.7 | 1.7 | 6.3 | 13.1 | 0.23 |
| Nausea and vomiting | 3.7 | 1.4 | 1.0 | 6.4 | 4.3 | 0.9 | 2.4 | 6.1 | 0.72 |
| Financial difficulties | 10.3 | 2.9 | 4.6 | 16.0 | 11.2 | 2.0 | 7.3 | 15.1 | 0.79 |
| EORTC QLQ-CR29 | |||||||||
| Functioning | |||||||||
| Future perspective | 70.6 | 4.1 | 62.5 | 78.6 | 66.2 | 1.6 | 63.1 | 69.4 | 0.29 |
| Body image | 87.2 | 2.8 | 81.7 | 92.7 | 81.5 | 1.1 | 79.4 | 83.7 | 0.04 |
| Weight concerns | 72.2 | 3.8 | 64.7 | 79.7 | 71.3 | 1.5 | 68.4 | 74.3 | 0.83 |
| Sexual interest | 46.6 | 4.3 | 38.1 | 55.2 | 42.7 | 1.7 | 39.4 | 46.0 | 0.36 |
| Symptom | |||||||||
| Urinary frequency | 43.1 | 3.4 | 36.3 | 49.8 | 44.6 | 1.4 | 42.0 | 47.3 | 0.65 |
| Urinary incontinence | 15.4 | 3.3 | 9.0 | 21.8 | 15.7 | 1.3 | 13.2 | 18.2 | 0.91 |
| Stool frequency | 19.2 | 2.8 | 13.6 | 24.7 | 19.7 | 1.1 | 17.5 | 21.9 | 0.86 |
| Stool incontinence | 8.4 | 2.8 | 2.9 | 13.8 | 10.2 | 1.1 | 8.1 | 12.4 | 0.50 |
| Flatulence | 24.7 | 3.9 | 17.0 | 32.3 | 24.9 | 1.5 | 21.9 | 27.9 | 0.94 |
| Bloated feeling | 17.6 | 3.7 | 10.2 | 24.9 | 24.5 | 1.5 | 21.7 | 27.4 | 0.06 |
| Blood/mucus in stool | 1.5 | 1.1 | -0.8 | 3.7 | 3.3 | 0.5 | 2.5 | 4.2 | 0.10 |
| Embarrassment | 9.8 | 3.1 | 3.8 | 15.8 | 11.0 | 1.2 | 8.7 | 13.4 | 0.69 |
| Sore skin | 14.9 | 3.0 | 9.0 | 20.8 | 14.9 | 1.2 | 12.6 | 17.2 | 0.99 |
| Dysuria | 4.5 | 1.6 | 1.3 | 7.7 | 4.3 | 0.6 | 3.0 | 5.5 | 0.90 |
| Buttock pain | 9.5 | 2.6 | 4.3 | 14.7 | 11.4 | 1.0 | 9.3 | 13.4 | 0.47 |
| Abdominal pain | 7.5 | 2.8 | 1.9 | 13.0 | 13.1 | 1.1 | 10.9 | 15.2 | 0.05 |
| Sexual problems | 36.7 | 5.3 | 26.2 | 47.2 | 41.0 | 2.1 | 36.9 | 45.1 | 0.42 |
| Dry mouth | 19.6 | 3.6 | 12.6 | 26.7 | 26.0 | 1.4 | 23.2 | 28.7 | 0.08 |
| Hair loss | 12.4 | 3.1 | 6.4 | 18.4 | 10.7 | 1.2 | 8.3 | 13.1 | 0.58 |
| Trouble with taste | 9.1 | 2.9 | 3.4 | 14.9 | 9.8 | 1.2 | 7.5 | 12.0 | 0.82 |
For functioning subscales, higher scores indicate better functioning; for symptom subscales, higher scores indicate higher symptom burden
*Sample excludes those patients for whom a propensity score could not be calculated
95% CL, CU: 95% lower confidence level, upper confidence level
Mean scores are adjusted for propensity score and 5-year follow-up covariates (comorbidity, BMI, smoking status, alcohol use)
Propensity score derived from baseline covariates including age at diagnosis, gender, tumor stage, tumor location, hospital volume, education, comorbidity, employment status, place of residence, BMI, smoking status, alcohol use