Abstract
Background
Despite the advancement of modern treatment approaches, several studies indicated a diminished health‐related quality of life (HRQoL) in patients with gastrointestinal cancer. However, there is insufficient data about the HRQoL of gastrointestinal cancer patients in Kenya.
Aims
The study aimed to investigate HRQoL and its determinants in gastrointestinal cancer patients at Kenyatta National Hospital.
Methods
A cross‐sectional study was employed among 160 esophageal, 103 gastric, and 96 colorectal cancer patients. The patient list, identified by unique hospital identification numbers, was obtained from records. Eligibility was assessed based on predetermined criteria, and the hospital identification numbers were reshuffled. Study participants were then randomly selected daily during the data collection period. Data were collected using a researcher‐administered European Organization for Research and Treatment of Cancer quality of life questionnaire. The data entry and analysis were carried out using Statistical Package for the Social Sciences 26.0 statistical software. A bivariate and multivariate binary logistic regression analysis was employed to investigate determinants of HRQoL at a 0.05 level of significance.
Results
Most esophageal (N = 118, 73.7%), gastric (N = 75, 72.8%), and colorectal (N = 72, 75%) cancer patients had poor overall HRQoL. In the social (p = .04) and cognitive (p = .02) domain of HRQoL, esophageal cancer patients had a significantly lower mean score as compared to gastric cancer patients. Colorectal cancer patients had the highest mean score in physical functioning (p = .01) as compared with gastric cancer patients. Nonetheless, gastric cancer patients had the highest mean score in emotional functioning domains of quality of life as compared to esophageal (p = .04) and colorectal (p < .001) cancer patients The study revealed a low mean HRQoL score in the majority of the symptom domains of quality of life. A statistically significant difference in all domains of HRQoL was not observed in various treatment modalities of gastrointestinal cancer. Advanced‐stage (stages III and IV) and co‐morbidities were significant determinants of poor HRQoL.
Conclusions
The overall HRQoL of gastrointestinal cancer patients was poor. Advanced‐stage cancer and co‐morbidities were significant determinants of poor HRQoL. Therefore, intensification of routine monitoring of the disease and the treatments should be actively implemented to improve the HRQoL.
Keywords: determinants, gastrointestinal cancers, health‐related quality of life, Kenyatta National Hospital
1. BACKGROUND
The global burden of cancer has a substantial physical, emotional, and financial stress on individuals, families, communities, and healthcare systems. This burden of cancer has a tremendous negative impact on low and middle‐income countries due to ill‐equipped healthcare systems. 1 Gastrointestinal cancer accounted for 26% of the global cancer incidence and 35% of all cancer‐related deaths worldwide. 2 By 2030, it is anticipated that gastrointestinal cancer will surge by 73%, with over 90% of these cancer cases being diagnosed at an advanced stage in sub‐Saharan Africa. 3 These late presentations can compromise the health‐related quality of life (HRQoL) of patients due to the advancement of the disease.
From diagnosis to treatment, cancer survivors face mental, physical, and economic challenges and confusion regarding their social roles. 4 Numerous studies have demonstrated that cancer treatment adversely affects the HRQoL of patients. 5 , 6 , 7 , 8 , 9 , 10 , 11 In developing countries, HRQoL is generally low among cancer patients. 12 , 13 A recent systematic review showed that most cancer patients had a suboptimal overall HRQoL in Sub‐Saharan Africa. 14 In addition, a major reduction in HRQoL is observed as cancer progresses, with a sharp decline in the advanced stages. 15 , 16 , 17 , 18
The majority of studies indicated a diminished overall HRQoL across various domains in patients with gastrointestinal cancer following treatment. 10 , 19 , 20 , 21 There is a significant scarcity of studies conducted in African settings, including Kenya, that investigate the HRQoL in patients with gastrointestinal cancer. Moreover, the majority of studies failed to examine different domains of HRQoL and HRQoL disparities based on various treatment modalities. Therefore, the present study aimed to investigate the HRQoL of patients with gastrointestinal cancer at Kenyatta National Hospital in Kenya.
2. METHODS
2.1. Study design, target population, study setting, and period
A cross‐sectional study was employed at the Department of Oncology among hospitalized and ambulatory adult esophageal, gastric, and colorectal cancer patients. This study design was employed to assess HRQoL and its determinants at a single point in time. The study was conducted at Kenyatta National Hospital, the largest referral and teaching facility in Kenya which is located in Upper Hill Nairobi County. It was established in 1901 during the British colonial administration. The hospital offers a wide range of medical services, including specialized care such as cancer treatment. Since it is the largest referral facility, the hospital serves a diverse population from various regions across Kenya. That is why the facility was selected to conduct the present study. The research was carried out from June 1 to December 31, 2022.
2.2. Inclusion and exclusion criteria
All adult patients (18 years and above) with gastric cancer, esophageal cancer, and colorectal cancer treated in the hospital and who signed informed consent were included in the study. In addition, the patients were required to complete at least one treatment modality and had documentation about their treatment regimens, stage of cancer and histological type to be involved in the study. Unconscious, unwilling, and below 18‐year‐old patients were excluded from the study. Further, patients who did not complete at least one treatment specific to their cancer and had incomplete data about their treatment regimens were also excluded from the study.
2.3. Sample size determination and sampling techniques
Single population proportion formula was used to compute the sample size for all three gastrointestinal cancers. 22 Hence, the final sample size with a 10% adjustment for non‐response rate comprised 160 esophageal, 103 gastric, and 96 colorectal cancer patients. The list of patients in active treatment was sourced from the Department of Health Information. The research assistants examined the medical records for eligibility in accordance with the study's eligibility criteria. The list of hospitalized and ambulatory esophageal, gastric, and colorectal cancer patients was sourced from the records using their unique hospital identification numbers. The research assistants examined the records of the patients to determine their suitability for inclusion using the study's specified eligibility criteria. After swapping the hospital identifying numbers, the study participants were randomly selected daily by a lottery method.
2.4. Data collection instruments and techniques
The European Organization for Research and Treatment of Cancer quality of life questionnaire (EORTC QLQ‐30), EORTC QLQ–OES18 (esophageal cancer module), EORTC QLQ–STO22 (gastric cancer module), and EORTC QLQ–CR29 (colorectal module) were employed to assess the HRQoL. 23 , 24 , 25 , 26 , 27 The general and the cancer‐specific HRQoL tools were employed to comprehensively assess the quality of life in gastrointestinal patients. The EORTC QLQ‐30 tool employed in the current study was validated to be used among cancer patients in Kenya. 28 After training about the optimal use of data collection tools, the principal investigator and research assistants were involved in the data collection. After randomly selecting the study participants using the lottery method with their hospital identification numbers, the research assistants explained the study's objectives to the recruited study participants. The data were collected by interviewing the patients using the standard HRQoL questionnaire after getting written informed consent from the study participants.
2.5. Data analysis
The data entry and analysis were conducted using Statistical Package for the Social Sciences (SPSS) version 26.0 software. The mean and standard error of the mean were used to report the mean age and mean score of HRQoL of the patients under the different domains of quality of life. Patients with a high mean score (≥60) on a global scale and the functional domains and a low mean score (<60) on the symptom domains of quality of life were considered to have good HRQoL. Poor HRQoL was represented by a low mean score (<60) on the global and functional scale and a high mean score (≥60) on the symptom scale of quality of life. 29
Frequency and percentage were used to report the sociodemographics, clinical characteristics, treatment regimens, and overall HRQoL of the study participants. Bivariate and multivariate binary logistic regression analysis was employed to investigate the determinants of HRQoL. The determinants of HRQoL were reported using crude and adjusted odds ratios. An independent variable with a p‐value of ≤.05 in multivariate binary logistic regression was considered a statistically significant determinant of HRQoL. A one‐way analysis of variance (ANOVA) post hoc analysis was conducted to examine the mean score difference based on diagnosis and treatment modalities. The baseline group equivalency of categorical was assessed using the chi‐square test while one‐way ANOVA was employed for continuous variables.
3. RESULTS
3.1. Descriptions of the sample
The predominant portion of gastrointestinal cancer patients were males and above 60 years old. Esophageal, gastric, and colorectal cancer patients had mean ages of 60.5 ± 12.7, 59.8 ± 1.3, and 53 ± 1.5 years, respectively. The mean age was statistically different between esophageal and colorectal (p < .001) and gastric and colorectal cancer patients (p = .001). Nonetheless, the mean age difference between esophageal and gastric cancer was not significant (p = .9). In the present study, there was a significant difference in histological types (p < .001), stage of cancer (p < 0.001), co‐morbidity (p = .014) and treatment regimens (p < .001) among gastrointestinal cancer patients.
The majority of gastric (N = 101, 98.1%) and colorectal (N = 95, 99.1%) cancer cases were adenocarcinomas, whereas most esophageal cancer patients (N = 145, 90.6%) had squamous cell carcinoma. Most esophageal cancer patients had Stages II (N = 55, 34.4%) and III (N = 53, 33.1%) disease at diagnosis while most gastric patients had Stage III (N = 46, 44.7%) and Stage IV (N = 35, 33.9%) diseases at the time of diagnosis. Likewise, the majority of colorectal cancer patients had also Stages III (N = 32, 33.3%) and IV (N = 50, 52.1%) diseases. Most esophageal (N = 89, 55.6%) and gastric (N = 65, 63.1%) cancer patients had co‐existing co‐morbid conditions at diagnosis. In contrast, only 42.5% (N = 41) of colorectal cancer patients had co‐morbidities (Table 1).
TABLE 1.
Esophageal cancer (n = 160) | Gastric cancer (n = 103) | Colorectal cancer (n = 96) | ||
---|---|---|---|---|
Variable | Frequency, N (%) | Frequency, N (%) | Frequency, N (%) | p‐value |
Age (in years) | <.001* | |||
<60 years | 71 (44.4) | 47 (45.6) | 66 (68.8) | |
≥60 years | 89 (55.6) | 56 (54.4) | 30 (31.2) | |
Gender | .819 | |||
Male | 97 (60.6) | 64 (62.1) | 62 (64.6) | |
Female | 63 (39.4) | 39 (37.9) | 34 (35.4) | |
Histological type | <.001* | |||
Adenocarcinoma | 15 (9.4) | 101 (98.1) | 95 (99) | |
Squamous cell carcinoma | 145 (90.6) | 2 (1.9) | 1 (1) | |
Stage of cancer | <.001* | |||
Stage I | 11 (6.9) | 1 (1.0) | 3 (3.1) | |
Stage II | 55 (34.4) | 21 (20.4) | 11 (11.5) | |
Stage III | 53 (33.1) | 46 (44.7) | 32 (33.3) | |
Stage IV | 41 (25.6) | 35 (33.9) | 50 (52.1) | |
Comorbidity | .014* | |||
Present | 89 (55.6) | 65 (63.1) | 41 (42.7) | |
Absent | 71 (44.4) | 38 (36.9) | 55 (57.3) | |
Treatment regimen | <.001* | |||
Surgery | 49 (30.6) | 23 (22.3) | 12 (12.5) | |
Chemotherapy and radiotherapy | 32 (20) | 6 (5.8) | 16 (16.7) | |
Chemotherapy | 6 (3.8) | 36 (35) | 21 (21.9) | |
Radiotherapy | 17 (10.6) | 1 (1) | 1 (1) | |
Surgery and chemotherapy | 4 (2.5) | 13 (12.6) | 25 (26) | |
Symptomatic management | 30 (18.8) | 20 (19.4) | 6 (6.3) | |
Radiotherapy, chemotherapy and surgery | 11 (6.9) | 4 (3.9) | 15 (15.6) | |
Radiotherapy and surgery | 11 (6.9) | 0 (0) | 0 (0) |
Statistically significant at p < .05.
Surgery (N = 49, 30.6%) and chemotherapy and radiotherapy combination (N = 32, 20.0%) were the most frequent treatment modalities used among esophageal cancer patients. Chemotherapy (N = 36, 35.0%) and surgery (N = 23, 22.3%) were the most frequently prescribed treatment modalities for patients with gastric cancer. A quarter of colorectal cancer patients (N = 25, 26.0%) were treated with surgery and chemotherapy. The other 74% (N = 70) of colorectal cancer patients were treated with chemotherapy alone (N = 21, 21.9%), surgery alone (N = 12, 12.5%), radiotherapy alone (N = 1, 1%), chemotherapy and radiotherapy combination (N = 16, 16.7%), radiotherapy, chemotherapy and surgery combination (N = 15, 15.6%) and symptomatic management (N = 6, 6.3%) modalities (Table 1).
3.2. HRQoL according to the diagnosis
Concerning esophageal cancer patients, most of them (N = 118, 73.7%) had a poor (score on the global scale <60) overall HRQoL. About one‐fourth (N = 42, 26.3%) had a good (score on the global scale ≥60) HRQoL in the study setting. The mean physical and cognitive functioning scores in esophageal cancer patients were 62.0 ± 1.7 and 78.0 ± 1.9, respectively. Nonetheless, the enrolled esophageal cancer patients had poor HRQoL (score on the role, emotional and social domains <60) in the role (46.5 ± 2.5), emotional (52.6 ± 2.6), and social domains (28.3 ± 2.1) of HRQoL (Table 2). The mean score of all symptoms scales of EORTC QLQ‐C30 except financial difficulties (79.4 ± 2.1) was <60. Most of the EORTC QLQ‐OES18 symptoms scales also had a mean score of less than 60. Nevertheless, the dysphagia and financial difficulties mean scores were 72.2 ± 1.7 and 79.4 ± 2.1, respectively (Table 2).
TABLE 2.
Questionnaire | Scale/item | Esophageal cancer patients (n = 160) | Gastric cancer patients (n = 103) | Colorectal cancer patients (n = 96) |
---|---|---|---|---|
Mean ± SEM | Mean ± SEM | Mean ± SEM | ||
EORTC QLQ‐C30 |
Global health status | 47.0 ± 1.5 | 50.7 ± 1.6 | 48.9 ± 1.9 |
Functional scales | ||||
Cognitive functioning | 78.0 ± 1.9 | 85.4 ± 1.9 | 83.0 ± 2.0 | |
Physical functioning | 62.0 ± 1.7 | 57.2 ± 2.1 | 65.9 ± 2.0 | |
Emotional functioning | 52.6 ± 2.6 | 62.5 ± 3.5 | 52.9 ± 3.4 | |
Role functioning | 46.5 ± 2.5 | 37.1 ± 3.0 | 58.5 ± 3.0 | |
Social functioning | 28.3 ± 2.1 | 36.6. ±2.9 | 44.1 ± 2.8 | |
Symptom scales/items | ||||
Financial difficulties | 79.4 ± 2.1 | 81.2 ± 2.7 | 70.1 ± 2.9 | |
Appetite loss | 51.3 ± 2.7 | 50.8 ± 3.2 | 42.4 ± 3.6 | |
Fatigue | 50.9 ± 2.0 | 53.4 ± 2.2 | 47.9 ± 2.7 | |
Pain | 49.1 ± 2.4 | 52.1 ± 2.9 | 31.8 ± 2.7 | |
Nausea and vomiting | 33.2 ± 2.4 | 29.9 ± 2.9 | 22.4 ± 2.3 | |
Constipation | 20.3 ± 2.3 | 16.2 ± 2.4 | 13.5 ± 2.3 | |
Diarrhea | 20.0 ± 2.3 | 16.5 ± 2.3 | 16.0 ± 2.5 | |
Insomnia | 18.1 ± 2.0 | 14.9 ± 2.4 | 25.7 ± 3.1 | |
Dyspnoea | 14.0 ± 1.8 | 18.4 ± 3.1 | 16.3 ± 2.7 | |
EORTC QLQ‐ OES18 |
Symptom scales/items | |||
Dysphagia | 72.2 ± 1.7 | |||
Trouble with taste | 55.8 ± 2.6 | |||
Reflux | 47.3 ± 2.2 | |||
Trouble swallowing saliva | 31.7 ± 2.7 | |||
Eating | 33.1 ± 1.8 | |||
Dry mouth | 29.2 ± 2.6 | |||
Trouble with coughing | 24.6 ± 2.5 | |||
Pain | 23.9 ± 1.7 | |||
Choked when swallowing | 23.5 ± 2.3 | |||
Trouble talking | 19.8 ± 2.0 | |||
EORTC QLQ‐ STO22 | Symptom scales/items | |||
Taste | 67.3 ± 3.3 | |||
Anxiety | 56.2 ± 3.1 | |||
Reflux | 55.9 ± 2.6 | |||
Pain | 50.4 ± 2.5 | |||
Eating | 47.7 ± 2.8 | |||
Body image | 34.0 ± 3.5 | |||
Dysphagia | 22.1 ± 2.2 | |||
Dry mouth | 21.7 ± 3.1 | |||
Hair loss | 6.8 ± 1.9 | |||
EORTC QLQ‐CR29 | Functional scales | |||
Sexual interest (women) | 92.3 ± 2.4 | |||
Sexual interest (men) | 78.1 ± 6.3 | |||
Body image | 66.8 ± 2.9 | |||
Weight | 58.0 ± 3.6 | |||
Anxiety | 41.0 ± 3.5 | |||
Symptom scales/items | ||||
Taste | 40.0 ± 3.1 | |||
Bloating | 39.2 ± 3.2 | |||
Flatulence | 34.0 ± 2.8 | |||
Abdominal pain | 31.9 ± 2.7 | |||
Sore skin | 30.6 ± 2.9 | |||
Urinary frequency | 30.2 ± 2.3 | |||
Stool frequency | 24.1 ± 1.9 | |||
Buttock pain | 21.9 ± 2.9 | |||
Dry mouth | 20.1 ± 2.8 | |||
Blood and mucus in stool | 18.2 ± 2.4 | |||
Fecal incontinence | 16.0 ± 2.5 | |||
Embarrassment | 15.3 ± 2.6 | |||
Dysuria | 13.5 ± 1.9 | |||
Hair loss | 12.8 ± 2.1 | |||
Stoma care problems | 5.6 ± 1.7 | |||
Urinary incontinence | 4.5 ± 1.2 | |||
Impotence | 3.8 ± 1.4 | |||
Dyspareunia | 1.0 ± 0.6 |
Note: EORTC QLQ 30: European Organisation for Research and Treatment of Cancer quality of life questionnaire, EORTC QLQ‐OES18: European Organisation for Research and Treatment of Cancer quality of life questionnaire for esophageal Cancer, SEM: Standard error of the mean. EORTC QLQ‐STO22: European Organisation for Research and Treatment of Cancer quality of life questionnaire for gastric Cancer. EORTC QLQ‐CR29: European Organisation for Research and Treatment of Cancer quality of life questionnaire for Colorectal Cancer.
Concerning gastric cancer patients the study depicted that 72.8% (N = 75) of patients had a poor (score on the global scale <60) overall HRQoL, while 27.2% (N = 28) had a good (score on the global scale ≥60) HRQoL. The mean scores for emotional and cognitive functioning were 62.5 ± 3.5 and 85.4 ± 1.9 among gastric cancer patients, respectively. The mean scores of the physical (57.2 ± 2.1), role (37.1 ± 3.0), and social (36.6 ± 2.9) functioning were below 60 (Table 2). In almost all of the symptom scales of EORTC QLQ‐C30 and EORTC QLQ‐STO22, the mean score was below 60 among gastric cancer patients. However, taste problems (67.3 ± 3.3) and financial difficulties (81.2 ± 2.7) were the major issues in the symptom scales of the HRQoL domain among patients with gastric cancer (Table 2).
Regarding colorectal cancer patients, most of them (N = 72, 75%) had a poor (score on the global scale <60) overall HRQoL, while 25% (N = 24) had a good (score on the global scale ≥60) overall HRQoL. As per the EORTC QLQ‐C30 scale, colorectal cancer patients had good physical (65.9 ± 2.0) and cognitive (83.0 ± 2.0) functioning HRQoL. However, colorectal cancer patients had poor role (58.5 ± 3.0), emotional (52.9 ± 3.4), and social (44.1 ± 2.8) functioning. According to the EORTC QLQ‐CR29 scale, colorectal cancer patients had good body image (66.8 ± 2.9), and sexual interest in both men (78.1 ± 6.3) and women (92.3 ± 2.4) though they had poor mean anxiety (41.0 ± 3.5) and weight score (58.0 ± 3.6). In the EORTC QLQ‐C30 and EORTC QLQ‐CR29 symptom scales, most of the symptoms had a mean score of less than 60, indicating the absence of major symptoms‐related problems (Table 2).
In the global health status, the mean difference in the quality of life score was not statistically different (p > .05) among all gastrointestinal cancer types. However, in the role functioning domains of quality of life, a significant mean difference was observed between esophageal and gastric cancer patients (p = .04), between esophageal and colorectal cancer patients (p = .01), and between colorectal and gastric cancer patients (p < .001). In the physical functioning domain, a significant mean difference (p = .01) was observed only between gastric and colorectal cancer patients. In the cognitive domain, a significant mean difference (p = .02) was observed only between esophageal and gastric cancer patients. In the social domains of quality of life, a significant difference was shown between esophageal and gastric (p = .04) and colorectal (p < .001) cancer patients. Nonetheless, the mean difference (p = .14) was not significant between gastric and colorectal cancer patients in social functioning (Table 3).
TABLE 3.
Quality of life domain | (I) Group | (J) Group | Mean difference (I−J) | SEM | p‐value |
---|---|---|---|---|---|
Global health status | Esophageal cancer | Gastric cancer | 3.7 | 2.3 | .25 |
Colorectal cancer | 1.8 | 2.4 | .72 | ||
Colorectal cancer | Gastric cancer | 1.9 | 2.6 | .76 | |
Physical functioning | Esophageal cancer | Gastric cancer | 4.8 | 2.7 | .17 |
Colorectal cancer | 3.9 | 2.7 | .33 | ||
Colorectal cancer | Gastric cancer | 8.8 | 3.0 | .01* | |
Role functioning | Esophageal cancer | Gastric cancer | 9.4 | 3.9 | .04* |
Colorectal cancer | 12.1 | 4.0 | .01* | ||
Colorectal cancer | Gastric cancer | 21.4 | 4.4 | <.001* | |
Emotional functioning | Esophageal cancer | Gastric cancer | 9.9 | 4.3 | .06 |
Colorectal cancer | 0.3 | 4.4 | 1.00 | ||
Colorectal cancer | Gastric cancer | 9.7 | 4.8 | .11 | |
Cognitive functioning | Esophageal cancer | Gastric cancer | 7.4 | 2.7 | .02* |
Colorectal cancer | 5.0 | 2.8 | .18 | ||
Colorectal cancer | Gastric cancer | 2.5 | 3.1 | .71 | |
Social functioning | Esophageal cancer | Gastric cancer | 8.2 | 3.5 | .04* |
Colorectal cancer | 15.7 | 3.6 | <.001* | ||
Colorectal cancer | Gastric cancer | 7.5 | 4.0 | .14 | |
Fatigue | Esophageal cancer | Gastric cancer | 2.4 | 3.2 | .72 |
Colorectal cancer | 3.1 | 3.2 | .61 | ||
Colorectal cancer | Gastric cancer | 5.5 | 3.6 | .27 | |
Nausea and vomiting | Esophageal cancer | Gastric cancer | 3.3 | 3.6 | .64 |
Colorectal cancer | 11 | 3.7 | .01* | ||
Colorectal cancer | Gastric cancer | 7.5 | 4.1 | .16 | |
Pain | Esophageal cancer | Gastric cancer | 3.0 | 3.7 | .69 |
Colorectal cancer | 17.2 | 3.8 | <.001* | ||
Colorectal cancer | Gastric cancer | 20.3 | 4.2 | <.001* | |
Dyspnea | Esophageal cancer | Gastric cancer | 4.5 | 3.3 | .37 |
Colorectal cancer | 2.4 | 3.4 | .77 | ||
Colorectal cancer | Gastric cancer | 2.1 | 3.8 | .84 | |
Insomnia | Esophageal cancer | Gastric cancer | 3.2 | 3.4 | .61 |
Colorectal cancer | 7.6 | 3.5 | .08 | ||
Colorectal cancer | Gastric cancer | 10.8 | 3.8 | .01* | |
Appetite loss | Esophageal cancer | Gastric cancer | 0.4 | 4.3 | .99 |
Colorectal cancer | 8.9 | 4.4 | .11 | ||
Colorectal cancer | Gastric cancer | 8.4 | 4.8 | .19 | |
Constipation | Esophageal cancer | Gastric cancer | 3.8 | 3.3 | .47 |
Colorectal cancer | 6.5 | 3.3 | .13 | ||
Colorectal cancer | Gastric cancer | 2.6 | 3.7 | .75 | |
Diarrhea | Esophageal cancer | Gastric cancer | 3.5 | 3.4 | .55 |
Colorectal cancer | 4.0 | 3.4 | .47 | ||
Colorectal cancer | Gastric cancer | 0.5 | 3.8 | .99 | |
Financial difficulties | Esophageal cancer | Gastric cancer | 1.9 | 3.5 | .86 |
Colorectal cancer | 9.2 | 3.5 | .03* | ||
Colorectal cancer | Gastric cancer | 11.1 | 3.9 | .01* |
Abbreviation: SEM, standard error of the mean.
The mean difference is significant at the .05 level.
3.3. HRQoL according to the treatment modalities
Gastrointestinal cancer patients who underwent different treatment approaches exhibited a low mean score in the global health status and a high mean score in cognitive domains of quality of life. Among all gastrointestinal cancer patients, the various treatment modalities resulted in a generally low mean score in the social functioning domains except for chemotherapy and surgery combination‐treated colorectal cancer patients (66.7 ± 2.2) (Table 4). A one‐way ANOVA post hoc analysis showed that there was no significant difference (p > .05) in the quality of life score among the various treatment modalities of esophageal, gastric, and colorectal cancer.
TABLE 4.
Cancer type and their regimens | Health‐related quality of life domains | |||||
---|---|---|---|---|---|---|
Global health status | Physical functioning | Role functioning | Emotional functioning | Cognitive functioning | Social functioning | |
Esophageal cancer | ||||||
Surgery | 45.2 ± 2.8 | 62.3 ± 3.3 | 44.9 ± 3.9 | 45.1 ± 4.9 | 76.5 ± 3.6 | 27.2 ± 3.9 |
Chemotherapy and radiotherapy | 46.4 ± 3.9 | 58.9 ± 3.8 | 45.3 ± 5.7 | 60.2 ± 5.6 | 77.6 ± 4.3 | 29.7 ± 5.2 |
Chemotherapy | 55.6 ± 3.2 | 66.7 ± 2.4 | 44.4 ± 1.2 | 43.1 ± 1.3 | 72.2 ± 1.5 | 13.9 ± 1.6 |
Radiotherapy | 42.6 ± 3.1 | 59.2 ± 5.2 | 46.1 ± 6.9 | 52.5 ± 2.3 | 77.5 ± 5.1 | 33.3 ± 6.5 |
Surgery and chemotherapy | 47.2 ± 1.2 | 71.1 ± 2.3 | 55.6 ± 2.2 | 38.9 ± 5.5 | 83.3 ± 2.6 | 27.8 ± 2.3 |
Symptomatic management | 50.6 ± 2.9 | 63.6 ± 4.2 | 47.8 ± .8 | 63.1 ± 2.4 | 81.7 ± 4.4 | 26.7 ± 5.1 |
Radiotherapy, chemotherapy and surgery | 45.5 ± 4.6 | 66.7 ± 5.3 | 57.6 ± 2.3 | 48.5 ± 2.3 | 75.8 ± 5.2 | 40.9 ± 2.4 |
Radiotherapy and surgery | 50.7 ± 5.9 | 60.0 ± 2.5 | 41.7 ± 2.6 | 49.3 ± 1.3 | 80.6 ± 2.7 | 22.2 ± 2.5 |
Gastric cancer | ||||||
Chemotherapy and radiotherapy | 48.2 ± 3.3 | 56.8 ± 3.7 | 37.7 ± 2.4 | 70.7 ± 2.2 | 87.7 ± 3.2 | 37.7 ± 2.3 |
Chemotherapy | 52.8 ± 2.3 | 56.7 ± 2.2 | 47.2 ± 2.2 | 61.1 ± 2.2 | 86.1 ± 5.2 | 50.0 ± 2.1 |
Radiotherapy | 49.5 ± 2.9 | 55.9 ± 4.2 | 33.3 ± 4.6 | 60.2 ± 6.4 | 87.0 ± 3.1 | 32.9 ± 4.0 |
Surgery and chemotherapy | 41.7 ± 2.2 | 66.7 ± 2.1 | 66.7 ± 2.3 | 50.0 ± 2.4 | 100.0 ± 2.2 | 66.7 ± 2.2 |
Symptomatic management | 49.4 ± 4.2 | 56.4 ± 5.4 | 25.6 ± 6.2 | 58.3 ± 3.7 | 82.1 ± 5.8 | 32.1 ± 2.4 |
Radiotherapy, chemotherapy and surgery | 56.3 ± 3.9 | 63.0 ± 3.4 | 48.3 ± 3.4 | 60.4 ± 2.2 | 80.8 ± 5.4 | 41.7 ± 3.5 |
Chemotherapy and radiotherapy | 52.1 ± 4.5 | 41.7 ± 2.3 | 25.0 ± 2.2 | 66.7 ± 2.2 | 87.5 ± 2.5 | 25.0 ± 2.4 |
Colorectal cancer | ||||||
Surgery | 57.6 ± 5.2 | 64.4 ± 2.2 | 62.5 ± 2.5 | 67.4 ± 2.4 | 87.5 ± 5.1 | 44.4 ± 5.9 |
Chemotherapy and radiotherapy | 52.6 ± 5.1 | 63.8 ± 4.5 | 51.1 ± 2.4 | 61.9 ± 2.4 | 79.2 ± 5.7 | 44.8 ± 5.6 |
Chemotherapy | 44.4 ± 4.1 | 69.5 ± 3.3 | 61.9 ± 6.7 | 53.2 ± 2.4 | 83.3 ± 4.3 | 55.6 ± 6.8 |
Radiotherapy | 58.3 ± 1.2 | 73.3 ± 2.3 | 50.0 ± 2.4 | 25.0 ± 2.5 | 100.0 ± 2.3 | 16.7 ± 3.4 |
Surgery and chemotherapy | 49.0 ± 3.1 | 66.9 ± 3.4 | 62.7 ± 5.3 | 52.0 ± 6.3 | 86.0 ± 3.6 | 42.7 ± 5.6 |
Symptomatic management | 43.1 ± 1.2 | 65.6 ± 6.9 | 55.6 ± 1.4 | 45.8 ± 1.5 | 72.2 ± 1.1 | 36.1 ± 3.1 |
Radiotherapy, chemotherapy and surgery | 45.6 ± 5.5 | 62.2 ± 5.8 | 53.3 ± 2.3 | 37.2 ± 2.5 | 81.1 ± 5.1 | 34.4 ± 6.1 |
A substantial proportion of esophageal cancer patients who underwent esophagectomy (N = 36, 22.5%) had poor overall HRQoL. In addition, 15% (N = 24) of esophageal cancer patients treated with a combination of chemotherapy and radiotherapy also had poor overall HRQoL. In gastric cancer patients, chemotherapy (N = 18, 17.5%) and gastrectomy (N = 28, 27.2%) treated patients had a significant deranged HRQoL. Similarly, chemotherapy (N = 18, 18.8%) and a combination of surgery and chemotherapy (N = 21, 21.9%) treated colorectal cancer patients had a significantly reduced HRQoL. However, radiotherapy (N = 1, 1%) treated gastric and colorectal cancer patients had minimally deranged HRQoL (Table 5).
TABLE 5.
Good HRQoL (mean score ≥ 60) frequency, N (%) | Poor HRQoL (mean score < 60) frequency, N (%) | |
---|---|---|
Esophageal cancer (n = 160) | ||
Esophagectomy | 13 (8.1) | 36 (22.5) |
Chemotherapy and radiotherapy | 8 (5.0) | 24 (15.0) |
Chemotherapy | 2 (1.3) | 4 (2.5) |
Radiotherapy | 1 (0.6) | 16 (10.0) |
Esophagectomy and chemotherapy | 1 (0.6) | 2 (1.3) |
Symptomatic management | 10 (6.3) | 20 (12.5) |
Radiotherapy, chemotherapy and esophagectomy | 2 (1.3) | 9 (5.6) |
Radiotherapy and esophagectomy | 5 (3.1) | 7 (4.3) |
Gastric cancer (n = 103) | ||
Gastrectomy | 5 (4.9) | 18 (17.5) |
Chemotherapy and radiotherapy | 2 (1.9) | 4 (3.9) |
Chemotherapy | 8 (7.8) | 28 (27.2) |
Radiotherapy | 0 (0.0) | 1 (1.0) |
Gastrectomy and chemotherapy | 3 (2.9) | 10 (9.7) |
Symptomatic management | 9 (8.7) | 11 (10.7) |
Radiotherapy, chemotherapy and gastrectomy | 1 (1.0) | 3 (2.9) |
Colorectal cancer (n = 96) | ||
Surgery | 5 (5.2) | 7 (7.3) |
Chemotherapy and radiotherapy | 7 (7.3) | 9 (9.4) |
Chemotherapy | 3 (3.1) | 18 (18.8) |
Radiotherapy | 0 (0.0) | 1 (1.0) |
Surgery and chemotherapy | 4 (4.2) | 21 (21.9) |
Symptomatic management | 1 (1.0) | 5 (5.2) |
Radiotherapy, chemotherapy and surgery | 4 (4.2) | 11 (11.5) |
Abbreviation: HRQoL, health‐related quality of life.
3.4. Determinants of HRQoL among gastrointestinal cancer patients
Esophageal cancer patients with co‐morbidity were 3.9 times (AOR = 3.9, 95% CI = 2.4–5.8, p = .02) more likely to have poor HRQoL compared to patients without co‐morbidities. In gastric cancer patients, co‐morbid patients had 2.3 times (AOR = 2.3, 95% CI = 2.2–4.6, p = .01) more likely to have a poor HRQoL than patients without co‐morbid conditions. Likewise, co‐morbid colorectal cancer patients had higher odds of worse HRQoL (AOR = 2.5, 95% CI = 1.3–4.5, p = .03). Furthermore, advanced‐stage (Stages III and IV) esophageal (AOR = 2.8, 95% CI = 1.3–3.7, p = .03), gastric (AOR = 1.8, 95% CI = 1.5–5.3, p = .04) and colorectal (AOR = 10.3, 95% CI = 1.8–13.4, p = .03) cancer patients had a higher odds of having a poor HRQoL as compared to patients with early‐stage disease (Stages I and II). The age, gender, education level, histological type, and treatment regimens were not significant determinants of poor HRQoL (Table 6).
TABLE 6.
Esophageal cancer | Gastric cancer | Colorectal cancer | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Variable | Bivariate analysis | Multivariate analysis | Bivariate analysis | Multivariate analysis | Bivariate analysis | Multivariate analysis | ||||||
COR (95% CI) | p‐value | AOR (95% CI) | p‐value | COR (95% CI) | p‐value | AOR (95% CI) | p‐value | COR (95% CI) | p‐value | AOR (95% CI) | p‐value | |
Age (in years) | ||||||||||||
<60 years | 1 | 1 | 1 | 1 | 1 | 1 | ||||||
≥60 years | 1.1 (0.5–2.2) | .8 | 1.2 (0.5–2.6) | .7 | 1.3 (0.5–3) | .6 | 1.7 (0.6–4.6) | .3 | 1.5 (0.6–3.8) | .4 | 0.9 (0.3–3.1) | .9 |
Gender | ||||||||||||
Male | 1 | 1 | 1 | 1 | 1 | 1 | ||||||
Female | 0.8 (0.4–1.7) | .6 | 1.1 (0.5–2.4) | .8 | 1.1 (0.4–2.6) | .8 | 1.1 (0.4–3) | .8 | 1.4 (0.6–3.7) | .5 | 1.5 (0.5–4.2) | .4 |
Education level | ||||||||||||
Formal education | 1 | 1 | 1 | 1 | 1 | 1 | ||||||
Informal education | 1.6 (0.6–4.6) | .4 | 1.8 (0.6–5.9) | .3 | 0.3 (0.1–1) | .06 | 0.2 (0.1–2.2) | .1 | 1.2 (0.2–6.7) | .8 | 1.5 (0.2–10.8) | .7 |
Co‐morbidity | ||||||||||||
Absent | 1 | 1 | 1 | 1 | 1 | |||||||
Present | 2.8 (1.4–2.7) | .03 * | 3.9 (2.4–5.8) | .02 * | 2.5 (1.2–4.2) | .04 * | 2.3 (2.2–4.6) | .01 * | 1.5 (1.2–2.4) | .02 * | 2.5 (1.3–4.5) | .03 * |
Histological type | ||||||||||||
Squamous cell carcinoma | 1 | 1 | 1 | 1 | 1 | 1 | ||||||
Adenocarcinoma | 0.4 (0.1–1.9) | .2 | 0.4 (0.1–1.8) | .2 | 0.6 (0.2–1.4) | .4 | 0.5 (0.3–1.2) | .2 | 0.6 (0.2–1.4) | .7 | 0.7 (0.3–1.6) | .8 |
Stage of the disease | ||||||||||||
Early stage (I andII) | 1 | 1 | 1 | 1 | 1 | 1 | ||||||
Advanced stage (III and IV) | 1.7 (1.4–2.5) | .04 * | 2.8 (1.3–3.7) | .03 * | 2.8 (1.4–4.1) | .02 * | 1.8 (1.5–5.3) | .04 * | 2.3 (1.3–4.9) | .03 * | 10.3 (1.8–13.4) | .03 * |
Treatment regimen | ||||||||||||
Combination therapy | 1 | 1 | 1 | 1 | 1 | 1 | ||||||
Surgery | 0.8 (0.4–1.9) | .7 | 0.9 (0.4–2.1) | .8 | 1.9 (0.2–1.2) | .6 | 2.4 (0.7–8.6) | .2 | 0.4 (0.1–1.3) | .1 | 0.1 (0.1–0.9) | .4 |
Chemotherapy | 1.2 (0.2–6.9) | .8 | 1.5 (0.2–9.6) | .7 | 1.8 (0.4–1.3) | .7 | 1.5 (0.5–4.5) | .5 | 1.9 (0.5–7.6) | .3 | 2.2 (0.5–8.9) | .3 |
Radiotherapy | 0.1 (0.2–1.2) | .1 | 0.1 (0.2–1.2) | .06 | 1.2 (0.2–0.6) | .2 | 1.2 (0.3–1.4) | 1.0 | 1.7 (0.6–2.3) | .2 | 0.1 (0.3–2.2) | 1.0 |
Abbreviations: AOR, adjusted odds ratio; CI, confidence interval; COR, crude odds ratio.
Statistically significant, p‐value ≤.05 (in bold).
4. DISCUSSION
Although several studies indicated a generally diminished HRQoL in gastrointestinal cancer patients, 10 , 19 , 20 , 21 there is a notable scarcity of research focusing on HRQoL in gastrointestinal cancer patients in sub‐Saharan Africa, including Kenya. Therefore, this study purposed to investigate HRQoL among esophageal, gastric, and colorectal cancer patients.
The study revealed that esophageal cancer patients had poor overall HRQoL which suggests the need to ensure effective treatment and improve long‐term outcomes to enhance quality of life. This finding is in agreement with other studies which reported a significantly impaired HRQoL among esophageal cancer patients. 21 , 30 , 31 , 32 , 33 Various studies reported that older, co‐morbid, and advanced‐stage cancer patients had poor HRQoL. 15 , 34 , 35 , 36 , 37 Hence, this high burden of poor HRQoL revealed in our study could be linked to the predominance of co‐morbid and advanced‐stage esophageal cancer patients in our setting. In sub‐Saharan Africa, cancer care is suboptimal due to the shortage of diagnostic facilities and the high cost of treatment. 38 Therefore, this lack of access to optimal healthcare services and treatments can also worsen the low HRQoL.
The mean HRQoL score of physical and cognitive functioning was higher in esophageal cancer patients, suggesting good HRQoL in these domains. In contrast, studies in Sweden revealed that esophageal cancer patients had poor HRQoL in their physical functioning. 30 , 39 However, esophageal cancer patients had suboptimal HRQoL in the role, emotional, global health, and social domains of HRQoL that might be related to psychological distress due to the diagnosis of cancer and its treatment‐related adverse drug reactions and future uncertainties.
The majority of esophageal cancer patients had good HRQoL in the symptom scales, except for challenges related to financial difficulties. In contrast, several studies showed poor HRQoL in the symptom scales among esophageal cancer patients. 30 , 39 , 40 These variations could be the possibility of having better symptomatic management care in our setting as a national referral facility.
The majority of gastric cancer patients exhibited poor overall HRQoL. This is in agreement with other studies. 16 , 20 , 41 The mean emotional and cognitive functioning scores were higher among gastric cancer patients. However, the mean score of the physical, role, global health, and social functioning was low (<60), suggesting a poor HRQoL in those functional scales of HRQoL in gastric cancer patients. Similarly, previous studies reported gastric cancer patients had a worse functioning score in most domains. 30 , 42 Therefore, optimal management and early initiation treatment modalities are essential to improve this domain of HRQoL. In the symptom domains, most gastric cancer patients had a good quality of life except for the problem with taste symptoms.
Colorectal cancer patients generally exhibited a suboptimal score (<60) on the global, role, emotional, and social functioning even though physical and cognitive functioning were satisfactory. This finding is contrasted with the German study which reported a high median score in all the physical domains and global scales. 43 Moreover, previous studies reported that most colorectal cancer patients had good HRQoL in the global score. 44 , 45 These disparities in HRQoL between our setting and other studies are likely attributable to differences in the quality of care, stage of disease, and co‐morbidity. The higher prevalence of co‐morbidities 46 and the advanced stages of diseases 47 at diagnosis may be linked to the poor HRQoL in the above domains due to the refractory nature of the diseases and the complexity of regimens used to treat those conditions.
In the symptom scale, colorectal cancer patients had a mean score of less than 60 in most of the symptom items, indicating the absence of major symptoms‐related problems. Vietnamese and Chinese studies reported substantial problems with pain and anxiety symptoms among colorectal cancer patients. 17 , 48 In addition, most colorectal cancer survivors had long‐term depression, distress, and bowel problems. 45 The absence of major symptoms‐related problems in colorectal cancer patients might be related to the availability of effective symptom management and social support in the study setting. Furthermore, studies have documented that a significant number of cancer survivors face financial difficulties, 49 , 50 , 51 suggesting that a subsidized cost of cancer care may be vital in improving HRQoL in colorectal cancer patients.
The study showed that there was no significant difference (p > .05) in the global HRQoL among different types of gastrointestinal cancers. Additionally, no statistically significant differences (p > .05) were observed in HRQoL domains across various treatment modalities of gastrointestinal cancer. In the social domain of HRQoL, esophageal cancer patients had the lowest mean score as compared to gastric (p = .04) and colorectal (p < .001) cancer patients. In the cognitive domain, esophageal cancer patients had also a significantly lower mean score (p = .02) than gastric cancer patients. Moreover, colorectal cancer patients had a higher mean score in physical functioning (p = .01) as compared to gastric cancer patients. Nonetheless, gastric cancer patients had the highest mean score in emotional functioning domains of quality of life as compared to esophageal (p = .04) and colorectal (p < .001) cancer patients.
In our setting, co‐morbidities and advanced stage of disease were the significant determinants of poor HRQoL. This is probably due to the necessity of more extensive and aggressive treatment regimens which can derange HRQoL. A Chinese study revealed that the level of education and nutritional support significantly affected the HRQoL in esophageal cancer patients. 31 A study showed that patients with early‐stage disease had a better HRQoL than advanced‐stage esophageal cancer patients. 52 An Ethiopian review reported the metastatic stage and low income level as determinants of poor HRQoL in cancer patients. 53 Hence, it is crucial to implement vigilant monitoring and promptly initiate the most effective treatment approaches for patients with comorbidities and advanced‐stage gastrointestinal cancer.
4.1. Strengths and limitations of the study
The study comprehensively investigated HRQoL by using standard general and cancer‐specific HRQoL assessment tools among the selected gastrointestinal cancers. This was the first study that investigated the determinants of HRQoL in esophageal, gastric, and colorectal cancer patients in Kenya. Hence, it can be used as baseline data for further studies. Nonetheless, the study was conducted in a single healthcare facility and did not address the long‐term impacts of various treatment approaches on HRQoL. Moreover, the tools used to assess HRQoL require the patients to recall events that happened in the past. Thus, the responses were dependent on the individuals' memories, and recall bias was possible. Because of the cross‐sectional nature of the study, the HRQOL assessment took place only at a specific point in the patient's life, with no subsequent observations or follow‐up.
5. CONCLUSIONS
There was generally poor overall HRQoL as a result of advanced stages of disease at presentation and comorbid illnesses. Therefore, intensification of routine monitoring of the disease and the treatments should be actively implemented to improve the HRQoL. In our context, most patients have financial difficulties, which can contribute to a lack of optimal cancer care. This can significantly compromise the HRQoL of the patients. Therefore, healthcare institutions should provide subsidized cancer care nationwide to improve HRQoL substantially. A large prospective cohort study should be conducted to assess the long‐term impacts of various treatment modalities on the HRQoL of gastrointestinal cancer patients.
AUTHOR CONTRIBUTIONS
Amsalu Degu: Conceptualization (equal); data curation (equal); formal analysis (equal); funding acquisition (equal); investigation (equal); methodology (equal); project administration (equal); resources (equal); software (equal); supervision (equal); validation (equal); visualization (equal); writing – original draft (equal); writing – review and editing (equal). Peter N. Karimi: Conceptualization (equal); data curation (equal); formal analysis (equal); funding acquisition (equal); investigation (equal); methodology (equal); project administration (equal); resources (equal); software (equal); supervision (equal); validation (equal); visualization (equal); writing – original draft (equal); writing – review and editing (equal). Sylvia A. Opanga: Conceptualization (equal); data curation (equal); formal analysis (equal); funding acquisition (equal); investigation (equal); methodology (equal); project administration (equal); resources (equal); software (equal); supervision (equal); validation (equal); visualization (equal); writing – original draft (equal); writing – review and editing (equal). David G. Nyamu: Conceptualization (equal); data curation (equal); formal analysis (equal); funding acquisition (equal); investigation (equal); methodology (equal); project administration (equal); resources (equal); software (equal); supervision (equal); validation (equal); visualization (equal); writing – original draft (equal); writing – review and editing (equal).
FUNDING INFORMATION
The research was carried out with funding provided by the United States International University–Africa.
CONFLICT OF INTEREST STATEMENT
The authors declare no conflict of interest.
ETHICS STATEMENT
The study received approval from the Ethics and Research Committee of Kenyatta National Hospital/University of Nairobi (Approval No: KNH‐ERC/A/337). To safeguard the patients' privacy, their identification and residential information were not documented during the data collection process. After getting written consent from the patients, the interview was conducted in a private room of the hospital to ensure the privacy and confidentiality of patients. Official permission was also obtained from the European Organization for Research and Treatment of Cancer to use the validated HRQoL questionnaire for the respective cancer types.
PATIENT CONSENT STATEMENT
Before data collection, we secured written informed consent from all participants in the study.
ACKNOWLEDGMENTS
The authors express their gratitude to the hospital's oncology staff for their valuable support and to the United States International University–Africa for sponsoring this project.
Degu A, Karimi PN, Opanga SA, Nyamu DG. Health‐related quality of life among patients with esophageal, gastric, and colorectal cancer at Kenyatta National Hospital. Cancer Reports. 2024;7(3):e2038. doi: 10.1002/cnr2.2038
DATA AVAILABILITY STATEMENT
The electronic version of the data will be acquired from the corresponding author.
REFERENCES
- 1. World Health Organization . Cancer [Internet]. 2023. Accessed October 11, 2023 https://www.who.int/health-topics/cancer#tab=tab_1
- 2. Arnold M, Abnet CC, Neale RE, et al. Global burden of 5 major types of gastrointestinal cancer. Gastroenterology. 2020;159(1):335‐349. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3. Singh P, Griffiths E, Irabor D, Adedeji OA. Gastrointestinal cancers in sub‐Saharan Africa. In: Adedeji O, ed. Cancer in Sub‐Saharan Africa: Current Practice and Future. Springer; 2017. [Google Scholar]
- 4. Kim K, Yoon H. Health‐related quality of life among cancer survivors depending on the occupational status. Int J Environ Res Public Health. 2021;18(7):3803. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5. Schandl A, Cheng Z, Johar A, Lagergren P. Health‐related quality of life 15 years after oesophageal cancer surgery: a prospective nationwide cohort study. J Cancer Surviv. 2023;17(3):815‐825. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6. Boshier PR, Klevebro F, Savva KV, et al. Assessment of health related quality of life and digestive symptoms in long‐term, disease free survivors after Esophagectomy. Ann Surg. 2022;275(1):e140‐e147. [DOI] [PubMed] [Google Scholar]
- 7. Wang CJ, Suh YS, Lee HJ, et al. Postoperative quality of life after gastrectomy in gastric cancer patients: a prospective longitudinal observation study. Ann Surg Treat Res. 2022;103(1):19. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8. Markar SR, Zaninotto G, Castoro C, et al. Lasting symptoms after esophageal resection (LASER). Ann Surg. 2022;275(2):e392‐e400. [DOI] [PubMed] [Google Scholar]
- 9. Huang H, Wang H, Shi J, et al. Health‐related quality of life of patients with colorectal neoplasms in China: a multicenter cross‐sectional survey. J Gastroenterol Hepatol. 2021;36(5):1197‐1207. [DOI] [PubMed] [Google Scholar]
- 10. Flyum IR, Mahic S, Grov EK, Joranger P. Health‐related quality of life in patients with colorectal cancer in the palliative phase: a systematic review and meta‐analysis. BMC Palliat Care. 2021;20(1):1‐18. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11. Rutherford C, Müller F, Faiz N, King MT, White K. Patient‐reported outcomes and experiences from the perspective of colorectal cancer survivors: meta‐synthesis of qualitative studies. J Patient‐Rep Outcomes. 2020;4(1):27. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12. Abegaz TM, Ayele AA, Gebresillassie BM. Health related quality of life of cancer patients in Ethiopia. J Oncol. 2018;2018:1‐8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13. Nayak MG, George A, Vidyasagar MS, et al. Quality of life among cancer patients. Indian J Palliat Care. 2017;23(4):445‐450. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14. Qan Y, Guan TI, Idiagbonya EI, et al. Quality of life among patients with cancer and their family caregivers in the sub‐Saharan region: a systematic review of quantitative studies. PLOS Glob Public Health. 2022;2(3):e0000098. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15. Jacob J, Palat G, Verghese N, et al. Health‐related quality of life and its socio‐economic and cultural predictors among advanced cancer patients: evidence from the APPROACH cross‐sectional survey in Hyderabad‐India. BMC Palliat Care. 2019;18(1):1‐12. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16. Zhang H, Sun C, Chen Y, et al. Health‐related quality of life and utility scores of posttreatment patients with gastric cancer at different pathological stages: a cross‐sectional study. J Oncol. 2022;2022:2607829. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17. Tran BT, Pham NH, Nguyen TX, et al. Measurement of health‐related quality of life among colorectal cancer patients using the vietnamese value set of the EQ‐5D‐5L. Patient Prefer Adherence. 2020;14:2427‐2437. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18. Wang DK, Zuo Q, He QY, Li B. Targeted immunotherapies in gastrointestinal cancer: from molecular mechanisms to implications. Front Immunol. 2021;12:3191. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19. Thong MSY, Doege D, Weißer L, et al. Persisting deficits in health‐related quality of life of colorectal cancer survivors 14–24 years post‐diagnosis: a population‐based study. Curr Oncol. 2023;30(3):3373‐3390. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20. van Amelsfoort RM, van der Sluis K, Schats W, et al. Health‐related quality of life in locally advanced gastric cancer: a systematic review. Cancers. 2021;13(23):5934. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21. Liu Q, Zeng H, Xia R, et al. Health‐related quality of life of esophageal cancer patients in daily life after treatment: a multicenter cross‐sectional study in China. Cancer Med. 2018;7(11):5803‐5811. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22. Hajian‐Tilaki K. Sample size estimation in epidemiologic studies. Caspian J Intern Med. 2011;2(4):89. [PMC free article] [PubMed] [Google Scholar]
- 23. Fayers PM, Aaronson NK, Bjordal K, et al. The EORTC QLQ‐C30 scoring manual (3rd edition). European Organisation for Research and Treatment of Cancer. EORTC; 2001:5‐7. Accessed November 20, 2020. http://www.eortc.be/home/qol/ [Google Scholar]
- 24. Whistance RN, Conroy T, Chie W, et al. Clinical and psychometric validation of the EORTC QLQ‐CR29 questionnaire module to assess health‐related quality of life in patients with colorectal cancer. Eur J Cancer. 2009;45(17):3017‐3026. [DOI] [PubMed] [Google Scholar]
- 25. Blazeby JM, Conroy T, Hammerlid E, et al. Clinical and psychometric validation of an EORTC questionnaire module, the EORTC QLQ‐OES18, to assess quality of life in patients with oesophageal cancer. Eur J Cancer. 2003;39(10):1384‐1394. [DOI] [PubMed] [Google Scholar]
- 26. Blazeby JM, Conroy T, Bottomley A, et al. Clinical and psychometric validation of a questionnaire module, the EORTC QLQ‐STO 22, to assess quality of life in patients with gastric cancer. Eur J Cancer. 2004;40(15):2260‐2268. [DOI] [PubMed] [Google Scholar]
- 27. Cocks K, King MT, Velikova G, Fayers PM, Brown JM. Quality, interpretation and presentation of European Organisation for Research and Treatment of Cancer quality of life questionnaire core 30 data in randomised controlled trials. Eur J Cancer. 2008;44(13):1793‐1798. [DOI] [PubMed] [Google Scholar]
- 28. Davda J, Kibet H, Achieng E, Atundo L, Komen T. Assessing the acceptability, reliability, and validity of the EORTC quality of life questionnaire (QLQ‐C30) in Kenyan cancer patients: a cross‐sectional study. J Patient‐Rep Outcomes. 2021;5(1):4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29. Koller M, Lorenz W. Quality of life: a deconstruction for clinicians. J R Soc Med. 2002;95(10):481‐488. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30. Dalhammar K, Kristensson J, Falkenback D, Rasmussen BH, Malmström M. Symptoms, problems and quality of life in patients newly diagnosed with oesophageal and gastric cancer – a comparative study of treatment strategy. BMC Cancer. 2022;22(1):434. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31. Dan Wang D, Jia Wei Y, Zhen Du H, et al. Factors affecting the quality of life in esophageal cancer patients. J Nutr Oncol. 2019;4(3):138‐145. [Google Scholar]
- 32. Schandl A, Lagergren J, Johar A, Lagergren P. Health‐related quality of life 10 years after oesophageal cancer surgery. Eur J Cancer. 2016;69:43‐50. [DOI] [PubMed] [Google Scholar]
- 33. Scarpa M, Valente S, Alfieri R, et al. Systematic review of health‐related quality of life after esophagectomy for esophageal cancer. World J Gastroenterol. 2011;17(42):4660‐4674. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34. Ximenes CRC, Bergmann A, Lima JT d O, et al. Prospective analysis of health‐related quality of life in older adults with cancer. J Patient Exp. 2020;7(6):1519‐1525. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35. Quinten C, Coens C, Ghislain I, et al. The effects of age on health‐related quality of life in cancer populations: a pooled analysis of randomized controlled trials using the European Organisation for Research and Treatment of Cancer (EORTC) QLQ‐C30 involving 6024 cancer patients. Eur J Cancer. 2015;51(18):2808‐2819. [DOI] [PubMed] [Google Scholar]
- 36. Ximenes CRC, Bergmann A, Lima JT d O, et al. Impact of age in health‐related quality of life in older adults with cancer. Geriatr Gerontol Aging. 2021;15:e0210005. [Google Scholar]
- 37. Backemar L, Johar A, Wikman A, et al. The influence of comorbidity on health‐related quality of life after esophageal cancer surgery. Ann Surg Oncol. 2020;27(8):2637‐2645. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38. Omotoso O, Teibo JO, Atiba FA, et al. Addressing cancer care inequities in sub‐Saharan Africa: current challenges and proposed solutions. Int J Equity Health. 2023;22(1):189. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39. Sunde B, Lindblad M, Malmström M, Hedberg J, Lagergren P, Nilsson M. Health‐related quality of life one year after the diagnosis of oesophageal cancer: a population‐based study from the Swedish National Registry for Oesophageal and gastric cancer. BMC Cancer. 2021;21(1):1277. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40. Wang Y, Xie Z, Liu Y, Wang J, Liu Z, Li S. Symptom clusters and impact on quality of life in esophageal cancer patients. Health Qual Life Outcomes. 2022;20(1):168. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41. Zhang Y, Yang X, Geng D, Duan Y, Fu J. The change of health‐related quality of life after minimally invasive esophagectomy for esophageal cancer: a meta‐analysis. World J Surg Oncol. 2018;16(1):97. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42. Bin WW, Song HN, Huang DD, et al. Impact of body composition and physical function on quality of life after gastrectomy for gastric cancer. Front Surg. 2022;8:832351. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43. Ratjen I, Schafmayer C, Enderle J, et al. Health‐related quality of life in long‐term survivors of colorectal cancer and its association with all‐cause mortality: a German cohort study. BMC Cancer. 2018;18(1):1156. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44. Siddiqui MTH, Khan MR, Jawaid A, Shaukat F, Zahid N. Evaluation of quality of life of gastrointestinal cancer patients presenting to a tertiary care hospital in Pakistan. Ecancermedicalscience. 2023;17:1527. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45. Jansen L, Koch L, Brenner H, Arndt V. Quality of life among long‐term (≥5 years) colorectal cancer survivors – systematic review. Eur J Cancer. 2010;46(16):2879‐2888. [DOI] [PubMed] [Google Scholar]
- 46. Cummings A, Grimmett C, Calman L, et al. Comorbidities are associated with poorer quality of life and functioning and worse symptoms in the 5 years following colorectal cancer surgery: results from the ColoREctal well‐being (CREW) cohort study. Psychooncology. 2018;27(10):2427‐2435. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47. Marventano S, Forjaz MJ, Grosso G, et al. Health related quality of life in colorectal cancer patients: state of the art. BMC Surg. 2013;13(S2):S15. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48. Huang W, Yang J, Liu Y, et al. Assessing health‐related quality of life of patients with colorectal cancer using EQ‐5D‐5L: a cross‐sectional study in Heilongjiang of China. BMJ Open. 2018;8(12):e022711. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49. Gordon LG, Merollini KMD, Lowe A, Chan RJ. A systematic review of financial toxicity among cancer survivors: we can't pay the co‐pay. Patient ‐ Patient‐Centered Outcomes Res. 2017;10(3):295‐309. [DOI] [PubMed] [Google Scholar]
- 50. Altice CK, Banegas MP, Tucker‐Seeley RD, Yabroff KR. Financial hardships experienced by cancer survivors: a systematic review. J Natl Cancer Inst. 2017;109(2):djw205. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51. Yabroff KR, Bradley C, Shih YCT. Understanding financial hardship among cancer survivors in the United States: strategies for prevention and mitigation. J Clin Oncol. 2020;38(4):292‐301. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52. Wen Y, Pan XF, Huang WZ, et al. Quality of life for patients with esophageal/gastric cardia precursor lesions or cancer: a one‐year prospective study. Asian Pac J Cancer Prev. 2015;16(1):45‐51. [DOI] [PubMed] [Google Scholar]
- 53. Ayalew TL, Wale BG, Haile KE, Zewudie BT, Feleke MG. Health‐related quality of life and associated factors among cancer patients in Ethiopia: systematic review and meta‐analysis. PLoS One. 2022;17(12):e0277839. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
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Data Availability Statement
The electronic version of the data will be acquired from the corresponding author.