Literature DB >> 24227924

Comorbidity and survival of Danish patients with colon and rectal cancer from 2000-2011: a population-based cohort study.

Eva Bjerre Ostenfeld1, Mette Nørgaard, Reimar Wernich Thomsen, Lene Hjerrild Iversen, Jacob Bonde Jacobsen, Mette Søgaard.   

Abstract

OBJECTIVE: To evaluate recent trends in the prevalence and impact of comorbidity on colorectal cancer (CRC) survival in the Central Region of Denmark.
MATERIAL AND METHODS: Using the Danish National Registry of Patients, we identified 5,777 and 2,964 patients with a primary colon or rectal cancer, respectively, from 2000 through 2011. We estimated survival according to Charlson Comorbidity Index scores and computed mortality rate ratios (MRRs) using Cox proportional hazard regression analysis, adjusting for age and sex.
RESULTS: More than one-third of CRC patients had comorbidity at diagnosis. During the study period, 1-year survival increased substantially in colon cancer patients with Charlson score 0 (72% to 80%) and modestly for Charlson score 3+ patients (43% to 46%). Using colon cancer patients with Charlson score 0 as reference, adjusted 1-year MRRs in patients with Charlson score 3+ were 2.19 (95% confidence interval [CI]: 1.57-3.05) in 2000-2002 and 2.56 (95% CI: 1.96-3.35) in 2009-2011. One-year survival after rectal cancer improved from 81% to 87% in patients with Charlson score 0 and from 56% to 60% in Charlson score 3+. Corresponding MRRs in patients with Charlson 3+ were 2.21 (95% CI: 1.33-3.68) in 2000-2002 and 3.09 (95% CI: 1.91-5.00) in 2009-2011 using Charlson score 0 as reference. Five-year MRRs did not differ substantially from 1-year MRRs.
CONCLUSION: Comorbidity was common among CRC patients and was associated with poorer prognosis. We observed improved survival from 2000 to 2011 for all comorbidity levels, with least improvement for colon cancer patients with comorbid conditions.

Entities:  

Keywords:  Denmark; colon; comorbidity; epidemiology; neoplasms; rectal; survival

Year:  2013        PMID: 24227924      PMCID: PMC3820479          DOI: 10.2147/CLEP.S47154

Source DB:  PubMed          Journal:  Clin Epidemiol        ISSN: 1179-1349            Impact factor:   4.790


Background

Worldwide, colorectal cancer (CRC) is the third most common cancer and the fourth most common cause of cancer-related death.1 CRC incidence increases sharply with age2 as do the prevalence of chronic diseases.3 Consequently, a large proportion of CRC patients suffer from one or more comorbid conditions at the time of their cancer diagnosis4–6 which may affect their diagnostic work up, treatment options, and prognosis.7,8 Several studies indicate that CRC patients with coexisting diseases have a poorer survival compared to those without.4,6,8–10 Due to population aging, the proportion of elderly cancer patients is increasing.11 The challenge in cancer treatment that comorbidity, physiologic, and functional frailty in these aging patients may pose will thus increase in the future.12 Monitoring trends in CRC survival is urgent for optimizing clinical cancer care and outcomes. Despite knowledge that coexisting diseases affect CRC prognosis, only a few studies incorporate comorbidity in survival trends.4,5 Previous Danish research reported improved 1- and 5-year survival for colon cancer patients with Charlson score 3+ during 1995–2006, whereas for rectal cancer patients with similar Charlson scores, 1-year survival was stable.4 In the present population-based study we examine the most recent changes in the prevalence and the impact of comorbidity on survival and mortality in a cohort of CRC patients diagnosed during 2000–2011 using Danish medical registry data.

Material and methods

Study population

We conducted this population-based cohort study in the Central Denmark region, which has 1.2 million inhabitants.13 The Danish National Health Service provides universal, tax-supported health care, guaranteeing unfettered access to general practitioners and hospitals and partial reimbursement for prescribed drugs. Accurate and unambiguous linkage of all registries at the individual level is possible in Denmark by means of the unique personal registry number assigned to each Danish citizen at birth or immigration.

Identification of patients with CRC

We identified all patients with a diagnosis of colon cancer (International Classification of Diseases [ICD]-8 code 153–154.09 and ICD-10 code C18-19) and rectal cancer (ICD-8 code 154.10-154.29 and ICD-10 code C20) from January 1, 1995 through December 31, 2011, using the Danish National Registry of Patients (NRP). The NRP contains records of all non-psychiatric hospital admissions since 1977 and outpatient hospital visits since 1995. Information includes the patient’s civil registration number, dates of admission and discharge, and up to 20 discharge diagnoses, coded by physicians according to the 8th revision of the International Classification of Diseases until the end of 1993, and the 10th revision thereafter.14 Patients with a previous diagnosis of colon or rectal cancer were excluded from the cohort.

Comorbidity at diagnosis

From the NRP, we obtained information on pre-existing comorbidity 10 years prior to the date of CRC diagnosis using the Charlson Index. This index comprises 19 disease categories each assigned between one and six points according to the adjusted risk of 1-year mortality.15,16 We used the sum of these points (ie, the Charlson score) to categorize patients. CRC diagnoses were excluded when we computed the Charlson score, as were all cancer diagnoses within 60 days before the CRC cancer diagnosis, in order to eliminate possible nonspecific cancer diagnoses related to the CRC cancer diagnosis. We grouped patients according to their level of comorbidity: (1) Charlson score = 0; (2) Charlson score = 1–2; and (3) Charlson score 3+.

Vital status

We linked members of the study cohort via their personal registry number to the Danish Civil Registration System to obtain vital status.17 This registry has recorded all changes in vital status and migration for the entire Danish population since 1968, with daily electronic updates. Follow-up was through patient date of death or emigration or December 31, 2011, whichever occurred first.

Statistical analysis

We computed the prevalence of comorbidity in CRC patients during four 3-year study periods: 2000–2002, 2003–2005, 2006–2008, and 2009–2011. We constructed Kaplan–Meier survival curves for CRC patients according to Charlson score and study periods. Cox proportional hazards regression was used to compute 1- and 5-year crude and age- and sex-adjusted hazard ratios as a measure of relative mortality to assess the association of comorbidity with mortality using the Charlson score of 0 as a reference in each time period. In the latter periods, we estimated 1- and 5-year survival using a hybrid analysis in which survival was estimated using the survival experience of patients in the previous periods.18 CRC stage and treatment was considered as a causal intermediate and therefore not included in the analyses.19 All analyses were performed using SAS version 9.2 (SAS Institute Inc, Cary, NC, USA). The study was approved by the Danish Data Protection Agency (record number 2006-53-1346).

Results

Colon cancer

Prevalence of comorbidity

A total of 5,777 patients were diagnosed with colon cancer during 2000–2011 of which 48% were men (Table 1). For both sexes, colon cancer incidence increased over time. The prevalence of patients with Charlson score 0 decreased from 66% to 62% during the time period, with a corresponding increase in the prevalence of patients with Charlson score 3+ (4%). Overall median age at diagnosis was 72 years and did not change during the study period. Patients with Charlson score 0 had the lowest median age which decreased from 71 to 69 years during the study period. Accordingly, median age increased for patients with a Charlson score 1–2 (from 75 to 76 years) and Charlson score 3+ (from 74 to 78 years).
Table 1

Characteristics of colon and rectal cancer patients in the Central Region of Denmark 2000–2011

CharacteristicsYear of diagnosis
Total
2000–20022003–20052006–20082009–2011
Colon cancer
Sex
 Male (%)629 (49)616 (46)759 (50)790 (49)2794 (48)
 Female (%)663 (51)731 (54)769 (50)820 (51)2983 (52)
Median age (years)72737372
Comorbidity
 Charlson score 0 (%)856 (66)841 (62)894 (59)992 (62)3583 (62)
 Charlson score 1–2 (%)362 (28)391 (29)475 (31)451 (28)1679 (29)
 Charlson score 3+ (%)74 (6)115 (9)159 (10)167 (10)515 (9)
Median age (years)
 Charlson score 0 (%)71706969
 Charlson score 1–2 (%)75757676
 Charlson score 3+ (%)74787778
Rectal cancer
Sex
 Male (%)388 (54)380 (60)435 (57)468 (55)1671 (56)
 Female (%)328 (46)255 (40)325 (43)385 (45)1293 (44)
Median age (years)70696869
Comorbidity
 Charlson score 0 (%)512 (72)427 (67)499 (66)567 (66)2005 (68)
 Charlson score 1–2 (%)163 (23)167 (26)194 (26)221 (26)745 (25)
 Charlson score 3+ (%)41 (6)41 (6)67 (9)65 (8)214 (7)
Median age (years)
 Charlson score 0 (%)68676467
 Charlson score 1–2 (%)74747473
 Charlson score 3+ (%)76747477

Survival

Overall 1-year survival gradually improved from 68% (95% confidence interval [CI]: 65%–70%) in 2000–2002 to 73% (95% CI: 71%–75%) in 2009–2011 corresponding to an adjusted mortality rate ratio (MRR) of 0.74 (95% CI: 0.64–0.85) in 2009–2011 using 2000–2002 as a reference (Table 2). Accordingly, the overall 5-year survival improved from 39% (95% CI: 37%–42%) to a predicted survival of 46% (95% CI: 43%–48%) for those diagnosed in 2009–2011, corresponding to a 5-year adjusted MRR of 0.76 (95% CI: 0.69–0.84) compared to 2000–2002.
Table 2

Overall survival and mortality rate ratios after colon and rectal cancer according to diagnostic calendar periods in the Central Region of Denmark 2000–2011

Year of diagnosis
2009–2011
2000–20022003–20052006–2008
Colon cancer
Number of patients1292134715281610
1-year
 Survival68% (65%–70%)70% (67%–72%)71% (69%–73%)73% (71%–75%)
 MRR crude1 (reference)0.95 (0.83–1.08)0.87 (0.76–1.00)0.81 (0.71–0.93)
 MRR adjusteda1 (reference)0.87 (0.76–0.99)0.79 (0.69–0.91)0.74 (0.64–0.85)
5-year
 Survival39% (37%–42%)44% (41%–47%)45% (43%–48%)b46% (43%–48%)b
 MRR crude1 (reference)0.89 (0.80–0.98)0.86 (0.78–0.95)b0.83 (0.76–0.92)b
 MRR adjusteda1 (reference)0.83 (0.75–0.92)0.79 (0.72–0.87)b0.76 (0.69–0.84)b
Rectal cancer
Number of patients716635760853
1-year
 Survival77% (74%–80%)77% (73%–80%)80% (77%–82%)82% (79%–85%)
 MRR crude1 (reference)1.03 (0.83–1.29)0.87 (0.70–1.09)0.76 (0.61–0.96)
 MRR adjusteda1 (reference)1.02 (0.82–1.28)0.85 (0.68–1.05)0.70 (0.56–0.88)
5-year
 Survival46% (42%–50%)50% (46%–54%)49% (45%–52%)b51% (48%–55%)b
 MRR crude1 (reference)0.92 (0.79–1.06)0.92 (0.80–1.06)b0.84 (0.73–0.97)b
 MRR adjusteda1 (reference)0.90 (0.77–1.04)0.91 (0.79–1.05)b0.80 (0.70–0.93)b

Notes: Figures in brackets represent 95% confidence intervals;

MRRs in different calendar periods using 2000–2002 as reference, adjusted for changes over time in age, sex, and comorbidity;

predicted values.

Abbreviation: MMR, mortality rate ratio.

Figure 1 shows survival curves for colon cancer patients within each comorbidity group according to time period. Survival among patients with Charlson score 0 improved during the study period while the survival remained virtually unchanged for patients with Charlson score 1–2 diagnosed from 2003–2005 onwards (Figure 1A and B). In patients with Charlson score 3+, survival peaked in 2003–2005, but beyond 1-year of follow-up the predicted survival in the 2009–2011 period was even poorer than among patients diagnosed in 2003–2005 and 2006–2008 (Figure 1C).
Figure 1

Kaplan–Meier curves for colon cancer patients in the Central Region of Denmark for four diagnostic periods for (A) Charlson score = 0, (B) Charlson score = 1–2, and (C) Charlson score = 3+.

Across all time periods, absolute survival decreased with increasing Charlson score and 5-year absolute survival among patients with Charlson scores 3+ was approximately half of that for patients with Charlson score 0 (Table 3). During the study period, survival improved in all comorbidity groups. From 2000–2002 to 2009–2011, 1-year survival improved among patients with Charlson score 0 (72% [95% CI: 69%–75%] to 80% [95% CI: 77%–82%]) as did 5-year survival (44% [95% CI: 41%–47%] to predicted 53% [95% CI: 50%–56%]). Similarly, 1- and 5-year survival improved among patients with Charlson score 1–2 and 3+ from 2000–2002 to 2009–2011, mainly due to substantial improvement from 2000–2002 to 2003–2005. Thus, from the period 2003–2005 on, survival appeared to stabilize in these patients. We observed that patients with comorbidity had poorer survival than those with no comorbidity in each diagnostic period (Table 3). Also, we noted a tendency that the relative mortality increased slightly from the first to the last time periods, although differences were not statistically significant. One-year adjusted MRRs for patients with Charlson score 1–2 ranged from 1.19 (95% CI: 0.96–1.47) to 1.43 (95% CI: 1.14–1.80), and 5-year adjusted MRRs ranged from 1.20 (95% CI: 1.02–1.40) to 1.26 (95% CI: 1.08–1.46), using patients with Charlson score 0 as a reference. Corresponding 1- and 5-year adjusted MRRs for patients with Charlson score 3+, ranged from 2.19 (95% CI: 1.57–3.05) to 2.56 (95% CI: 1.96–3.35) and 2.10 (95% CI: 1.61–2.74) to 2.30 (95% CI: 1.89–2.80), respectively.
Table 3

One-year and 5-year survival and relative mortality after colon cancer according to comorbidity level for each diagnostic period in the Central Region of Denmark 2000–2011

Charlson score
01–23+
2000–2002
Number of patients85636274
1-year
 Survival (%)72% (69%–75%)63% (58%–68%)43% (32%–54%)
 MRR crude1 (reference)1.41 (1.14–1.75)2.71 (1.95–3.76)
 MRR adjusteda1 (reference)1.19 (0.96–1.47)2.19 (1.57–3.05)
5-year
 Survival (%)44% (41%–47%)33% (29%–38%)15% (8%–24%)
 MRR crude1 (reference)1.34 (1.15–1.56)2.46 (1.89–3.20)
 MRR adjusteda1 (reference)1.20 (1.02–1.40)2.10 (1.61–2.74)
2003–2005
Number of patients841391115
1-year
 Survival (%)73% (70%–76%)66% (62%–71%)55% (45%–63%)
 MRR crude1 (reference)1.32 (1.06–1.63)1.93 (1.43–2.60)
 MRR adjusteda1 (reference)1.17 (0.94–1.46)1.61 (1.19–2.19)
5-year
 Survival (%)48% (45%–51%)41% (36%–45%)28% (20%–36%)
 MRR crude1 (reference)1.23 (1.05–1.44)1.79 (1.41–2.26)
 MRR adjusteda1 (reference)1.11 (0.95–1.31)1.54 (1.21–1.96)
2006–2008
Number of patients894475159
1-year
 Survival (%)77% (74%–79%)68% (64%–72%)50% (42%–58%)
 MRR crude1 (reference)1.45 (1.17–1.79)2.61 (2.02–3.38)
 MRR adjusteda1 (reference)1.25 (1.01–1.55)2.27 (1.74–2.95)
5-year
 Survival (%)51% (48%–55%)b41% (36%–45%)b22% (16%–29%)b
 MRR crude1 (reference)1.36 (1.17–1.58)b2.40 (1.94–2.96)b
 MRR adjusteda1 (reference)1.20 (1.03–1.40)b2.11 (1.72–2.59)b
2009–2011
Number of patients992451167
1-year
 Survival (%)80% (77%–82%)69% (64%–73%)46% (38%–54%)
 MRR crude1 (reference)1.70 (1.36–2.12)3.31 (2.55–4.30)
 MRR adjusteda1 (reference)1.43 (1.14–1.80)2.56 (1.96–3.35)
5-year
 Survival (%)53% (50%–56%)b41% (36%–45%)b19% (14%–25%)b
 MRR crude1 (reference)1.44% (1.24–1.68)b2.78 (2.29–3.37)b
 MRR adjusteda1 (reference)1.26 (1.08–1.46)b2.30 (1.89–2.80)b

Notes: Figures in brackets represent 95% confidence intervals;

MRRs according to comorbidity level using Charlson score 0 as reference, adjusted for age and sex;

predicted values.

Abbreviation: MMR, mortality rate ratio.

Rectal cancer

Of the 2,964 rectal cancer patients diagnosed during the study period, 56% were men (Table 1). Incident rectal cancer increased only slightly over time. Patients with Charlson score 0 accounted for 72% in 2000–2002 and 66% in 2009–2011 with corresponding increases in the prevalence of patients with Charlson score 1–2 (3%) and 3+ (2%). Overall median age at diagnosis was 69 years. Patients with Charlson score 0 had the lowest median age and only a minor decrease was observed over time (from 68 to 67 years), whereas the median age increased slightly for patients with Charlson score 3+ (from 76 to 77 years). Overall 1-year survival after rectal cancer improved from 77% (95% CI: 74%–80%) in 2000–2002 to 80% (95% CI: 77%–82%) in 2009–2011 with a corresponding adjusted MRR of 0.85 (95% CI: 0.68–1.05) using 2000–2002 as a reference (Table 2). Accordingly, the overall 5-year survival improved from 46% (95% CI: 42%–50%) to a predicted 49% (95% CI: 45%–52%) during the study period, corresponding to an adjusted MRR of 0.91 (95% CI: 0.79–1.05) in 2009–2011 as compared to 2000–2002. Survival improved slightly within each comorbidity level during the study period, although patients with Charlson score 3+ had a poorer 1-year survival in the 2009–2011 period compared to the previous calendar period (Figure 2A–C).
Figure 2

Kaplan–Meier curves for rectal cancer patients in the Central Region of Denmark for four diagnostic periods for (A) Charlson score = 0, (B) Charlson score = 1–2, and (C) Charlson score = 3+.

As for colon cancer, survival after rectal cancer decreased with the burden of comorbidity in all diagnostic periods, in particular the 5-year survival (Table 4). For patients with Charlson score 3+, 5-year survival was less than half of that for patients with Charlson score 0. During the 2000–2011 period survival improved in all comorbidity groups, although for patients with Charlson score 3+ the 5-year survival was almost unchanged from 2003 throughout the study period.
Table 4

One-year and 5-year survival and relative mortality after rectal cancer according to comorbidity level for each diagnostic period in the Central Region of Denmark 2000–2011

Charlson score
01–23+
2000–2002
Number of patients51216341
1-year
 Survival (%)81% (77%–84%)69% (62%–76%)56% (40%–70%)
 MRR crude1 (reference)1.76 (1.25–2.47)2.73 (1.65–4.52)
 MRR adjusteda1 (reference)1.46 (1.03–2.06)2.21 (1.33–3.68)
5-year
 Survival (%)51% (47%–56%)36% (29%–44%)17% (8%–30%)
 MRR crude1 (reference)1.58 (1.25–1.98)2.50 (1.74–3.57)
 MRR adjusteda1 (reference)1.37 (1.09–1.73)2.00 (1.39–2.88)
2003–2005
Number of patients42716741
1-year
 Survival (%)81% (77%–84%)71% (63%–77%)56% (40%–70%)
 MRR crude1 (reference)1.64 (1.15–2.34)2.74 (1.64–4.56)
 MRR adjusteda1 (reference)1.25 (0.87–1.80)2.40 (1.43–4.02)
5-year
 Survival (%)56% (51%–60%)41% (33%–48%)24% (13%–38%)
 MRR crude1 (reference)1.56 (1.22–1.99)2.46 (1.68–3.59)
 MRR adjusteda1 (reference)1.27 (0.99–1.64)2.20 (1.50–3.23)
2006–2008
Number of patients49919467
1-year
 Survival (%)84% (80%–87%)76% (70%–82%)61% (48%–72%)
 MRR crude1 (reference)1.52 (1.06–2.19)2.67 (1.72–4.15)
 MRR adjusteda1 (reference)1.13 (0.77–1.64)1.95 (1.24–3.07)
5-year
 Survival (%)54% (50%–58%)b43% (36%–50%)b21% (11%–33%)b
 MRR crude1 (reference)1.40 (1.11–1.76)b2.33 (1.71–3.17)b
 MRR adjusteda1 (reference)1.13 (0.89–1.44)b1.87 (1.36–2.57)b
2009–2011
Number of patients56722165
1-year
 Survival (%)87% (83%–89%)78% (71%–83%)60% (46%–71%)
 MRR crude1 (reference)1.82 (1.25–2.67)3.96 (2.48–6.33)
 MRR adjusteda1 (reference)1.51 (1.02–2.24)3.09 (1.91–5.00)
5-year
 Survival (%)58% (53%–62%)b44% (37%–51%)b22% (12%–35%)b
 MRR crude1 (reference)1.55 (1.24–1.93)b2.67 (1.94–3.66)b
 MRR adjusteda1 (reference)1.33 (1.05–1.67)b2.24 (1.62–3.10)b

Notes: Figures in brackets represent 95% confidence intervals;

MRRs according to comorbidity level with Charlson score 0 as reference, adjusted for age and sex;

predicted estimates.

Abbreviation: MMR, mortality rate ratio.

Compared to patients with Charlson score 0 the MRRs increased with increasing level of comorbidity in each calendar period (Table 4). One- and 5-year adjusted MRRs were almost unchanged from the first to the last time periods.

Discussion

In this population-based study, more than one-third of the CRC patients had documented comorbid conditions according to the Charlson Index and the overall prevalence of comorbidity increased slightly over the 12-year study period. Comorbidity was a strong negative prognostic factor even after adjusting for age. From 2000–2002 to 2009–2011, CRC survival improved within each level of comorbidity, mainly due to an apparent large improvement until 2003–2005, after which survival stagnated among colon cancer patients with comorbid conditions, from 2003 through 2011. During this time period, the relative mortality was almost unchanged for rectal cancer patients, whereas for colon cancer patients the relative mortality seemed to increase weakly. The increasing prevalence of comorbidity among patients with CRC over the study period may be attributable to demographic changes in terms of population aging or to closer medical follow-up of patients with chronic conditions leading to the detection of more CRC cases. Also, the introduction of an accounting method based on Diagnosis Related Groups in 2000 by the Danish health care authorities may have led to more complete recording of concurrent diseases in addition to the main condition. Still, the prevalence of comorbidity in CRC patients was higher in a recent Dutch study by van Leersum et al5 than in our study. In that study, the proportion of CRC patients with comorbid conditions according to the Charlson Index increased from 47% in 1995 to 62% in 2010. However, their comorbidity data had been assessed in part from medical hospital records and also from referral letters from general practitioners. Because we used discharge diagnoses in the NRP, we had no information on chronic diseases treated solely at the general practitioners; eg, hypertension, diabetes and pulmonary diseases, which were the most frequent conditions in the Dutch study. In agreement with previous research, we found that CRC patients with comorbidity had a poorer survival than those without comorbidity.4,6,8–10 Several mechanisms may explain the disparity in survival. First, severe comorbidity affects risk of mortality independent of the cancer,6 especially when the mortality burden of the cancer is low.20 Second, comorbidity may delay CRC diagnosis by masking symptoms of the cancer, leading to late stage disease and poor prognosis. However, closer medical follow-up of comorbid patients could also lead to cancer detection at earlier stages.21 Third, treatment strategies may be influenced by the burden of comorbidity. Frail patients may undergo less extensive surgery, and it has been reported that CRC patients with concomitant diseases receive less adjuvant therapy compared with those without.7,8,22 Fourth, interaction between comorbidity and the cancer may accelerate the course of the cancer.23 The overall survival from CRC improved in Denmark from 2000 through 2011. The current observations thus agree with previous trends,4,24–26 although most studies did not incorporate comorbidity in their analyses. We noted a stagnating survival among colon cancer patients with coexisting diseases from 2003 onward, which discords with concurrent improvements in rectal cancer as well as previous observations.4 However, this apparent stagnation may in part have been caused by substantial improvements in survival among comorbid patients in the period between 2003–2005. During the study period, the surgical treatment of CRC was gradually centralized,27 facilitating higher hospital procedure volume and probably higher surgeon case volume across all levels of comorbidities. Still, in the Region of Central Denmark, colon cancer is treated at more hospitals than rectal cancer.2 Moreover, only rectal cancer is included in multidisciplinary teams comprised of radiologists, pathologists, surgeons, and oncologists, which has the potential to improve the outcome.28 We can only speculate whether this disparity in the management of colon and rectal cancer diagnostics and treatment may contribute to the discrepancy in survival. Strengths of our study include a population-based design within the setting of a uniformly organized health care system. Our cohort was well-defined by the use of computerized registries with complete follow-up.14,17,29 Our study also had limitations; for instance, we used the Charlson Index to measure comorbidity, which has been tested reliable and valid.16,30 The positive predictive value of the NRP coding of the Charlson conditions has been demonstrated consistently high.31 However, the Charlson Index does not make allowance for the severity of the diseases. Thus, patients with identical scores may differ substantially in their functional impairment, which could influence mortality.32 We lacked data on cancer stage, which might have been unevenly distributed among the comorbidity groups. Likewise, we lacked data on treatment, which could conceivably vary with the burden of comorbidity.33 Although both stage and treatment are prognostically important factors, they are causal intermediates and should not be adjusted for in the analyses. Moreover, according to the Danish Colorectal Cancer Group database, the stage distribution among CRC patients has not changed substantially between 2001 and 2011.2 Therefore, improvements in survival are less likely to stem from diagnosis at earlier stages over time. Also, we had no data on tumor histopathology. However, to our knowledge, there is no evidence of an association between comorbidity and tumor morphology, such as histologic subtype or grade. Morphology, therefore, should not bias our estimates. From the registries we had no information on structural factors, eg, increased hospital volume and population aging and potential confounders, such as smoking, alcohol consumption, and obesity. Finally, we only examined all-cause mortality and not disease-specific mortality. Nonetheless, given the difficulty of disentangling whether CRC itself, cancer complications, or underlying comorbidity contributed to mortality, we conclude that all-cause mortality is a valid measure. In conclusion, we found that comorbidity was present in more than one-third of CRC patients and had a substantial negative impact on prognosis. Despite improved overall survival during 2000–2002 to 2009–2011 period, survival improvement was least in colon cancer patients with comorbid conditions. Due to an increasing proportion of elderly (comorbid) cancer patients, our findings warrant clinical and public attention.
  30 in total

Review 1.  How to measure comorbidity. a critical review of available methods.

Authors:  Vincent de Groot; Heleen Beckerman; Gustaaf J Lankhorst; Lex M Bouter
Journal:  J Clin Epidemiol       Date:  2003-03       Impact factor: 6.437

2.  Patient age and comorbidity are major determinants of adjuvant chemotherapy use for stage III colon cancer in routine clinical practice.

Authors:  Sumitra Ananda; Kathryn M Field; Suzanne Kosmider; Daniel Compston; Jayesh Desai; Lionel C Lim; Frances S Barnett; Ian T Jones; Iain Skinner; Peter Gibbs
Journal:  J Clin Oncol       Date:  2008-09-20       Impact factor: 44.544

3.  Increasing prevalence of comorbidity in patients with colorectal cancer in the South of the Netherlands 1995-2010.

Authors:  N J van Leersum; M L G Janssen-Heijnen; M W J M Wouters; H J T Rutten; J W Coebergh; R A E M Tollenaar; V E P P Lemmens
Journal:  Int J Cancer       Date:  2012-11-05       Impact factor: 7.396

4.  The Danish Civil Registration System.

Authors:  Carsten Bøcker Pedersen
Journal:  Scand J Public Health       Date:  2011-07       Impact factor: 3.021

5.  Comorbidity and age as predictors of risk for early mortality of male and female colon carcinoma patients: a population-based study.

Authors:  R Yancik; M N Wesley; L A Ries; R J Havlik; S Long; B K Edwards; J W Yates
Journal:  Cancer       Date:  1998-06-01       Impact factor: 6.860

6.  Improving patient survival with the colorectal cancer multi-disciplinary team.

Authors:  E MacDermid; G Hooton; M MacDonald; G McKay; D Grose; N Mohammed; C Porteous
Journal:  Colorectal Dis       Date:  2008-05-09       Impact factor: 3.788

7.  Differential prognostic impact of comorbidity.

Authors:  William L Read; Ryan M Tierney; Nathan C Page; Irene Costas; Ramaswamy Govindan; Edward L J Spitznagel; Jay F Piccirillo
Journal:  J Clin Oncol       Date:  2004-08-01       Impact factor: 44.544

Review 8.  Impact of age and comorbidity on treatment and outcomes in elderly cancer patients.

Authors:  Ronald C Chen; Trevor J Royce; Martine Extermann; Bryce B Reeve
Journal:  Semin Radiat Oncol       Date:  2012-10       Impact factor: 5.934

9.  The predictive value of ICD-10 diagnostic coding used to assess Charlson comorbidity index conditions in the population-based Danish National Registry of Patients.

Authors:  Sandra K Thygesen; Christian F Christiansen; Steffen Christensen; Timothy L Lash; Henrik T Sørensen
Journal:  BMC Med Res Methodol       Date:  2011-05-28       Impact factor: 4.615

10.  The effect of comorbidity on the use of adjuvant chemotherapy and survival from colon cancer: a retrospective cohort study.

Authors:  Diana Sarfati; Sarah Hill; Tony Blakely; Bridget Robson; Gordon Purdie; Elizabeth Dennett; Donna Cormack; Kevin Dew
Journal:  BMC Cancer       Date:  2009-04-20       Impact factor: 4.430

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  19 in total

1.  Comorbidity and the risk of anastomotic leak in Chinese patients with colorectal cancer undergoing colorectal surgery.

Authors:  Yaohua Tian; Beibei Xu; Guopei Yu; Yan Li; Hui Liu
Journal:  Int J Colorectal Dis       Date:  2017-03-23       Impact factor: 2.571

2.  Association of multidimensional comorbidities with survival, toxicity, and unplanned hospitalizations in older adults with metastatic colorectal cancer treated with chemotherapy.

Authors:  Ki Hyang Kim; Jae Jin Lee; Jongphil Kim; Jun-Min Zhou; Fabio Gomes; Marina Sehovic; Martine Extermann
Journal:  J Geriatr Oncol       Date:  2019-02-11       Impact factor: 3.599

3.  The effect of comorbidities on outcomes in colorectal cancer survivors: a population-based cohort study.

Authors:  Colleen A Cuthbert; Brenda R Hemmelgarn; Yuan Xu; Winson Y Cheung
Journal:  J Cancer Surviv       Date:  2018-09-06       Impact factor: 4.442

4.  The impact of incisional hernia on mortality after colonic cancer resection.

Authors:  Kristian Kiim Jensen; Rune Erichsen; Peter-Martin Krarup
Journal:  Surg Endosc       Date:  2016-09-07       Impact factor: 4.584

5.  Impact of age and comorbidity on survival in colorectal cancer.

Authors:  Elmer E van Eeghen; Sandra D Bakker; Aart van Bochove; Ruud J L F Loffeld
Journal:  J Gastrointest Oncol       Date:  2015-12

6.  BCL2 protein signalling determines acute responses to neoadjuvant chemoradiotherapy in rectal cancer.

Authors:  L Flanagan; A U Lindner; C de Chaumont; J Kehoe; J Fay; O Bacon; S Toomey; H J Huber; B T Hennessy; E W Kay; D A McNamara; J H M Prehn
Journal:  J Mol Med (Berl)       Date:  2014-11-13       Impact factor: 4.599

7.  Cancer survival in Qidong between 1972 and 2011: A population-based analysis.

Authors:  Jian-Guo Chen; Jian Zhu; Yong-Hui Zhang; Yi-Xin Zhang; Deng-Fu Yao; Yong-Sheng Chen; Jian-Hua Lu; Lu-Lu Ding; Hai-Zhen Chen; Chao-Yong Zhu; Li-Ping Yang; Yuan-Rong Zhu; Fu-Lin Qiang
Journal:  Mol Clin Oncol       Date:  2017-05-03

Review 8.  [Colorectal cancer: prevention and curative treatment in the elderly: An appraisal from the viewpoint of geriatric gastroenterology].

Authors:  G Kleber
Journal:  Chirurg       Date:  2015-09       Impact factor: 0.955

9.  Administration of adjuvant chemotherapy for stage II-III colon cancer patients: An European population-based study.

Authors:  Masoud Babaei; Yesilda Balavarca; Lina Jansen; Valery Lemmens; Felice N van Erning; Liesbet van Eycken; Evelien Vaes; Annika Sjövall; Bengt Glimelius; Cornelia M Ulrich; Petra Schrotz-King; Hermann Brenner
Journal:  Int J Cancer       Date:  2017-12-04       Impact factor: 7.396

10.  Outcomes and adverse factors for endoscopic mucosal resection (EMR) of colorectal polyps in elderly patients.

Authors:  Thomas Skouras; Ashley Bond; Asimina Gaglia; Laura Bonnett; Meng Jiang Lim; Sanchoy Sarkar
Journal:  Frontline Gastroenterol       Date:  2020-02-25
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