Skip to main content
Frontline Gastroenterology logoLink to Frontline Gastroenterology
. 2012 Apr 27;3(3):143–149. doi: 10.1136/flgastro-2012-100141

Colorectal cancer patients: what do they die of?

Matias Riihimäki 1,2, Hauke Thomsen 1, Kristina Sundquist 2,3, Kari Hemminki 1,2
PMCID: PMC5517285  PMID: 28839655

Introduction

The 5-year relative survival rate after colorectal cancer (CRC) diagnosis has increased from around 40% in the 1960s to approximately 60% in Sweden.14 Some probable reasons for the increased survival may be earlier diagnosis, improved treatment and better health status.2 Survival is worse among men1 2 4 and older patients.1 5 In the western countries, around 80% of the patients are diagnosed at ages over 60 years.4 Because the older population frequently suffers from comorbidities, a majority of CRC patients are affected by one or several comorbidities at diagnosis.6 7 Further improvements in the outcome of CRC patients motivate increased knowledge of these comorbidities. The influence of specific comorbidities on CRC mortality has been well covered in previous studies, and results have suggested that several chronic disorders (eg, cardiovascular diseases, diabetes and chronic pulmonary obstructive disease) and the number of comorbidities may affect survival and life expectancy negatively.612 However, little is known whether CRC patients are at an increased risk to die from specific causes; higher death rates have been described among CRC patients from cardiovascular causes, gastrointestinal causes, injuries13 and suicide.13 14 Furthermore, knowledge of the actual death causes mentioned in death certificates of CRC patients is incomplete. A recent study has shown though, that among deceased CRC patients, 75% had died from CRC itself.15 However, estimates of the actual proportion of cancer patients dying from their primary cancer may vary greatly. For example, in breast cancer, these estimations have varied between 50% and 76%.16 The use of nationwide healthcare registers with complete coverage could help to further clarify the proportions of specific death causes among CRC patients.

The present retrospective cohort study used a nationwide database, the Swedish Family-Cancer Database, and aimed to investigate whether a diagnosis of CRC is associated with an increased risk to die from any specific condition. Data relating to both, accompanying and underlying causes of death were used. The underlying cause of death is, as defined by the WHO, ‘the disease or injury which initiated the train of morbid events leading directly to death’, whereas the multiple causes comprise complications and contributing causes.17 Inclusion of data accompanying causes of death enables a more complete understanding of the causes of death.16 1820 We also performed separate analyses depending on time since diagnosis and anatomical location of CRC.

Methods

Study population

The Swedish Family-Cancer Database was created by linking data from several databases.21 Data on cancers is from the Swedish Cancer Registry, death causes from the Swedish Cause of Death Register, and data on the familial relationships from the Swedish Multigenerational Register. In addition, the database includes socioeconomic information from national census data. The 2010 update includes Swedish residents born after 1931, together with their biological parents, totalling around 12 million individuals, with over one million cancer diagnoses made until 2008. During the set study time, 1987–2008, death causes were coded using International Classification of Diseases 9 (ICD-9) (1987–1996) or ICD-10 (since 1997). The study population was defined as all individuals born before 1967 and residing in Sweden, totalling 6.13 million individuals, of which 95 000 were CRC patients. CRC patients were defined as those with a diagnosis of CRC as the first invasive cancer, and were identified by ICD-7 codes 153 and 154.0. All other individuals were allocated to the non-CRC cohort. The database includes information on both the underlying cause of death and up to five accompanying causes. Causes of death were assigned into several disease categories. The ICD-codes included in the different categories are discussed below.

Statistical method

A Cox regression model with age as the underlying time scale was used to estimate cause-specific HR, comparing CRC patients with individuals without CRC. Calculations were performed using SAS software (PROC PHREG; SAS V. 9.2). Entry time was January 1987, immigration, or presence at census, whichever occurred first. Censoring events included: December 2008, emigration, absence at census, or death from a cause not included in the chosen disease categories. Individuals who initially were part of the reference group were assigned to the CRC group upon CRC diagnosis. First, HRs were estimated for the underlying causes, the event of interest being dying with a specific condition listed as the underlying cause. Next, the multiple causes of death were also considered. Here, the event of interest was defined as dying with any mention of a specific cause in the death certificate. Thus, calculations on the multiple causes always included the underlying cause. Diseases may have a higher incidence shortly after diagnosis.9 In order to investigate whether the risk to die from a specific cause was higher shortly after or long after diagnosis, time-dependent analyses were conducted. Separate HRs were calculated for the first 5 years and subsequent years after diagnosis. Furthermore, analyses depending on the anatomical location of the tumour were performed, wherein tumours were classified to proximal (ICD-7 codes 153.0, 153.1), distal (153.2, 153.3) or rectal (154.0). Finally, separate HRs were estimated for men and women. The socioeconomic index (categories ‘blue-collar’, ‘white-collar’, ‘agriculture’, ‘professional’, ‘private’, ‘other/unknown’), sex, and the geographical region of residence (north, south, big city, unknown) were included as covariates, with individuals grouped according to data from the latest census.

Definitions of disease categories

ICD-codes used in the disease categories were the following (ICD-10; -9): myocardial infarction (I21-I22; 410), other coronary heart disease (I20, I23–I25; 411–414), cerebrovascular event (I60–I69; 430–438), arterial disease (I70–I79; 440–448), heart failure (I50; 428), pneumonia (J10–J18; 480–487), chronic lower respiratory disease (J40–J49; 490–496), external causes including subgroups (S00-T98, V01-Y98; 800-900, e800-e999), complications of diagnostic or surgical procedures (Y60–Y84; e870–e879), complications of therapeutic drug or vaccine usage (Y40–Y59; e930–e949), suicide (X60–X84; e950–e959), traffic accident (V01–V99; e800–e848), falls (W00–W19; e880–e888), other heart disease (I30–I49, I52; 420–427), gastrointestinal disease (K00-K93; 520-579), dementia (F00-F03, G30; 290, 331.0), diabetes (E10–E14; 250), complications of heart disease (I51; 429), urinary system disease (N00–N39; 580–599), certain symptoms (R00-R99; 780-799), pulmonary circulation disease (I26–I28, J81; 415–417, 514), nervous system disease (G00–G99, except G30; 320–359, except 331.0), hypertensive disease (I10–I19; 401–405), other bacterial disease (A30–A49; 030–041), psychiatric disease (F04–F99; 291–319), anaemia (D50–D64; 280–285), tumours other than CRC (C00-D48, excluding C18–C20, C77–C80 and C97; 140–239, excluding 153, 154.0, 154.1), CRC (C18–C20; 153, 154.0, 154.1).

Results

Out of 6.13 million individuals included, 1.49 million died during the study period. Of the 95 000 included CRC patients, 61 000 died. CRC was the most common underlying cause, accounting for 55.9% of deaths among CRC patients; 62.9% of deceased CRC patients had CRC mentioned in their death certificate, as either the underlying or one of the multiple causes of death.

First, HRs were calculated for the underlying causes (table 1). CRC patients were found to be at a higher risk to die from, for example, ‘other bacterial disease’ (HR=1.40, see 95% CI in table 1), ‘gastrointestinal disease’ (1.20), and ‘diseases of pulmonary circulation’ (1.19). By contrast, some causes of death featured decreased risks, for example, dementia (0.75), ‘diseases of the nervous system’ (0.77) and ‘pneumonia’ (0.87).

Table 1.

Cox regression models were used to determine HRs for dying from selected conditions when individuals were diagnosed with CRC as first cancer (n=95 468) compared with all other individuals (n=6 034 288)

As the underlying cause of death As one of the multiple causes of death
Event (death due to) No. of dead with CRC No. of dead without CRC HR 95% CI No. of dead with CRC No. of dead without CRC HR 95% CI
Myocardial infarction 3780 6.2% 205 097 14.4% 0.95 0.91 0.98 4769 7.8% 234 423 16.4% 1.02 0.99 1.06
Cerebrovascular event 2975 4.9% 147 712 10.3% 0.96 0.93 1.00 5188 8.5% 228 825 16.0% 1.06 1.03 1.09
Other CHD 2847 4.7% 134 224 9.4% 0.97 0.93 1.01 6229 10.2% 274 373 19.2% 1.07 1.04 1.10
Heart failure 1215 2.0% 43 937 3.1% 1.06 1.00 1.12 7956 13.1% 270 395 18.9% 1.23 1.20 1.26
Gastrointestinal disease 1069 1.8% 47 127 3.3% 1.20 1.12 1.28 6297 10.3% 99 370 7.0% 3.22 3.14 3.32
Other heart disease 1038 1.7% 43 969 3.1% 1.08 1.01 1.15 4866 8.0% 175 547 12.3% 1.28 1.25 1.32
Arterial disease 1050 1.7% 51 924 3.6% 0.90 0.84 0.96 3976 6.5% 174 417 12.2% 1.01 0.98 1.04
Pneumonia 1011 1.7% 47 679 3.3% 0.87 0.82 0.93 4215 6.9% 162 235 11.4% 1.14 1.10 1.18
Dementia 998 1.6% 54 333 3.8% 0.75 0.71 0.80 2497 4.1% 117 096 8.2% 0.86 0.83 0.90
External causes 869 1.4% 71 901 5.0% 1.06 0.99 1.14 6233 10.2% 154 486 10.8% 2.53 2.47 2.60
Complication of diagnostic or surgical procedures 24 0.0% 1036 0.1% 1.05 0.70 1.58 4415 7.2% 52 259 3.7% 4.65 4.50 4.81
Complication of therapeutic drug or vaccine usage 1 0.0% 95 0.0% 0.66 0.09 4.75 246 0.4% 9437 0.7% 1.58 1.39 1.80
Suicides 190 0.3% 21 254 1.5% 1.56 1.34 1.82 190 0.3% 21 332 1.5% 1.56 1.33 1.81
Traffic accidents 57 0.1% 9260 0.6% 0.97 0.74 1.26 61 0.1% 9499 0.7% 0.98 0.76 1.27
Falls 256 0.4% 12 420 0.9% 1.01 0.89 1.14 427 0.7% 19042 1.3% 1.05 0.95 1.15
Chronic lower respiratory disease 753 1.2% 39 762 2.8% 0.99 0.92 1.06 2025 3.3% 84 453 5.9% 1.19 1.14 1.24
Symptoms 586 1.0% 26112 1.8% 0.98 0.90 1.06 9922 16.3% 280 250 19.6% 1.61 1.57 1.64
Diabetes 534 0.9% 27 322 1.9% 1.07 0.98 1.16 3200 5.2% 119 129 8.3% 1.38 1.33 1.43
Urinary system disease 451 0.7% 17 485 1.2% 1.15 1.04 1.26 2565 4.2% 83 213 5.8% 1.45 1.39 1.51
Pulmonary circulation disease 313 0.5% 12 456 0.9% 1.19 1.05 1.35 2623 4.3% 73 042 5.1% 1.66 1.59 1.73
Complications of heart disease 313 0.5% 13 512 0.9% 1.08 0.96 1.21 1686 2.8% 69 898 4.9% 1.16 1.10 1.22
Hypertensive disease 269 0.4% 11 826 0.8% 1.00 0.88 1.13 2025 3.3% 84 401 5.9% 1.15 1.10 1.20
Nervous system disease 209 0.3% 19 453 1.4% 0.77 0.67 0.88 1181 1.9% 66 594 4.7% 1.03 0.98 1.10
Other bacterial disease 205 0.3% 7239 0.5% 1.40 1.22 1.62 1138 1.9% 29 311 2.1% 2.00 1.88 2.13
Psychiatric disease 77 0.1% 11 273 0.8% 0.77 0.61 0.96 567 0.9% 51 188 3.6% 1.02 0.94 1.12
Anaemia 57 0.1% 2606 0.2% 0.92 0.70 1.20 653 1.1% 16 877 1.2% 1.55 1.43 1.68
Tumour other than CRC 4853 8.0% 322 449 22.6% 1.03 1.00 1.06 6463 10.6% 369 059 25.8% 1.12 1.09 1.15
CRC 34103 55.9% 9033 0.6% 295.00 288.00 302.00 38342 62.9% 10 954 0.8% 247.3 242.00 252.80

Boldface entries indicate significant HRs.

CHD, coronary heart disease; CRC, colorectal cancer.

Next, the multiple causes were included in the analyses (table 1). CRC patients were found to be at a higher risk to die with ‘gastrointestinal disease’ (3.22) or ‘external causes’ (2.53) listed among the multiple causes of death. High HRs were found for some subcategories of external causes: iatrogenic causes and suicide, whereas falls and traffic accidents featured no increased risk. The only death cause to feature a significantly decreased risk was ‘dementia’ (0.86), whereas other causes with decreased risks as underlying causes now featured either increased or similar risks.

In further analyses, separate HRs were estimated with regard to the time since diagnosis of CRC (table 2, only significant differences are shown). Notable differences were found between the two defined time periods: <5 and >5 years since diagnosis. For example, the HRs for ‘diseases of pulmonary circulation’ and ‘gastrointestinal diseases’ were substantially higher during the first 5 years. By contrast, ‘dementia’ and ‘nervous system disease’ featured significantly lower HRs during the first 5 years. These findings were similar both when regarding underlying causes only, and also when considering accompanying death causes (data not shown).

Table 2.

Cox regression models were used to determine HRs for dying from selected conditions when individuals were diagnosed with CRC as first cancer (n=95 468) compared to all other individuals (n=6 034 288), depending on time since diagnosis

< 5 years after diagnosis (n=40 513) > 5 years after diagnosis (n=20 447)
Event (death due to) No. HR 95% CI No. HR 95% CI p Value
Cerebrovascular event 989 0.91 0.85 0.97 1986 0.99 0.94 1.03 0.04
Gastrointestinal disease 497 1.33 1.20 1.47 572 1.13 1.04 1.22 0.01
External causes 371 1.13 1.01 1.26 498 1.02 0.94 1.12 0.17
Complication of diagnostic or surgical procedures 13 1.71 0.99 2.96 11 0.72 0.40 1.31 0.04
Suicide 114 1.83 1.48 2.26 76 1.36 1.09 1.69 0.06
Dementia 166 0.40 0.34 0.46 832 0.91 0.85 0.97 <0.01
Symptoms 183 1.14 0.98 1.32 403 0.92 0.83 1.01 0.02
Pulmonary circulation disease 167 1.40 1.16 1.69 146 1.07 0.91 1.26 0.03
Nervous system disease 68 0.60 0.47 0.77 141 0.88 0.74 1.04 0.01
Psychiatric disease 26 0.50 0.32 0.79 51 0.93 0.72 1.22 0.02
Tumour other than CRC 1927 0.98 0.93 1.02 2926 1.06 1.02 1.10 <0.01
CRC 30311 595.70 581.70 609.90 3792 54.20 52.20 56.40 <0.01

Boldface entries indicate significant HRs.

CRC, colorectal cancer.

Finally, a distinction between the anatomical locations (proximal, distal and rectal) was made (table 3). When considering the underlying causes only, risks of death from anaemia, CRC and diseases of pulmonary circulation varied substantially depending on tumour localisation. The latter two featured a higher HR among CRC patients with a rectal tumour compared with proximal and distal tumours. By contrast, those CRC patients with a proximal tumour were at the highest risk to die from anaemia.

Table 3.

Cox regression models were used to determine HRs for dying from selected conditions when individuals were diagnosed with CRC as first cancer compared to all other individuals, depending on anatomical location of malignancy

Proximal colon (n=29 160) Distal colon (n=22 219) Rectum (n=33 702)
Event (death due to) No. HR 95% CI No. HR 95% CI No. HR 95% CI p Value
Myocardial infarction 1149 0.91 0.86 0.97 909 0.95 0.89 1.01 1295 0.97 0.92 1.03 0.28
Other CHD 939 0.97 0.91 1.04 677 0.96 0.89 1.04 922 0.99 0.92 1.05 0.90
Cerebrovascular event 987 0.97 0.91 1.03 726 0.98 0.91 1.05 922 0.93 0.88 1.00 0.60
Arterial disease 330 0.89 0.80 1.00 240 0.86 0.76 0.98 354 0.95 0.85 1.06 0.52
Heart failure 388 0.98 0.89 1.09 305 1.12 1.00 1.25 384 1.11 1.01 1.22 0.13
Pneumonia 344 0.87 0.78 0.97 219 0.80 0.70 0.91 326 0.92 0.82 1.02 0.29
Chronic lower respiratory disease 261 1.08 0.95 1.22 162 0.88 0.75 1.03 255 1.01 0.89 1.14 0.14
External causes 274 1.09 0.96 1.23 196 1.01 0.87 1.17 282 1.03 0.92 1.17 0.70
Complication of diagnostic or surgical procedures 7 0.94 0.45 1.98 4 0.73 0.27 1.95 11 1.51 0.83 2.73 0.39
Complication of therapeutic drug or vaccine usage 0 0.00 0.00 0.00 1 2.74 0.38 19.74 0 0.00 0.00 0.00 1.00
Suicides 56 1.73 1.32 2.27 38 1.36 0.97 1.90 61 1.38 1.05 1.80 0.41
Traffic accidents 12 0.73 0.41 1.28 14 1.02 0.60 1.72 22 1.00 0.65 1.53 0.62
Falls 76 0.94 0.74 1.17 64 1.07 0.84 1.38 76 0.91 0.72 1.15 0.58
Other heart disease 346 1.08 0.97 1.20 243 1.07 0.94 1.21 331 1.10 0.98 1.22 0.95
Gastrointestinal disease 335 1.14 1.02 1.29 264 1.21 1.06 1.37 329 1.23 1.10 1.37 0.68
Dementia 330 0.71 0.64 0.80 233 0.74 0.65 0.84 304 0.76 0.68 0.85 0.73
Diabetes 189 1.11 0.99 1.32 112 0.95 0.79 1.14 179 1.11 0.96 1.29 0.27
Complications of heart disease 90 0.92 0.74 1.15 73 1.08 0.85 1.36 113 1.24 1.02 1.50 0.14
Urinary system disease 148 1.16 0.99 1.36 111 1.15 0.96 1.39 140 1.12 0.99 1.32 0.94
Symptoms 183 0.86 0.74 1.00 143 1.01 0.86 1.19 191 1.13 0.98 1.30 0.03
Pulmonary circulation disease 96 1.05 0.86 1.33 61 1.03 0.79 1.35 114 1.36 1.11 1.67 0.14
Nervous system disease 62 0.76 0.59 0.97 47 0.68 0.51 0.92 74 0.81 0.64 1.02 0.67
Hypertensive disease 85 0.93 0.75 1.15 61 0.95 0.73 1.22 98 1.19 0.98 1.46 0.19
Other bacterial disease 69 1.48 1.16 1.88 51 1.39 1.04 1.85 59 1.29 1.00 1.67 0.76
Psychiatric disease 14 0.45 0.26 0.77 24 1.04 0.69 1.55 30 0.87 0.61 1.26 0.04
Anaemia 27 1.33 0.91 1.94 7 0.49 0.23 1.03 16 0.88 0.54 1.43 0.05
Tumour other than CRC 1473 1.01 0.96 1.07 1119 0.98 0.93 1.04 1571 0.98 0.93 1.03 0.60
CRC 10171 290.80 282.40 299.50 7459 265.80 257.60 274.40 12672 322.30 313.50 331.20 <0.01

Boldface entries indicate significant HRs and significant p values.

CHD, coronary heart disease; CRC, colorectal cancer.

Discussion

We used a Cox regression model to investigate causes of death in CRC patients. To our knowledge, this is the first study that estimates cause-specific HRs for several causes of death among CRC patients. We observed that CRC patients are at an increased risk to die from several disease categories, including diseases of pulmonary circulation, gastrointestinal disease and other bacterial disease. Sepsis is the major cause of death in the latter category and has been estimated to occur postoperatively in 7.4% of performed emergency surgeries in CRC patients.22

We also found that CRC patients have a decreased risk to die from, for example, ‘dementia’ and ‘nervous system diseases’, although only ‘dementia’ featured decreased HRs when analysing multiple causes of death. These findings are similar to recent studies. Decedents with a diagnosis of Parkinson's disease, one major disease in the category ‘nervous system diseases’, have been found to have a decreased risk to develop cancer23 and also have fewer mentions of cancer in their death certificates compared with a control group.24 Similarly, demented patients have been found to be less likely to have malignancies as the underlying cause of death.25 A possible explanation to the results is that physicians issuing a death certificate for demented CRC patients might not include dementia as a cause of death. Earlier trials have suggested that if deceased individuals have a main diagnosis of an acute or ‘dramatic’ condition, such as CRC, it is more likely to be the underlying cause of death.26 By contrast, more benign and chronic conditions may be less actively chosen by physicians as the cause of death in the case of concomitant malignancies. Therefore, we believe that several more benign causes of death might be underrepresented in death certificates.

Some limitations to the data need to be considered. Because we do not have access to outpatient data regarding time of onset of the comorbidities, we cannot conclude whether specific comorbidities precede CRC, or if CRC precedes the comorbidities. For example, Parkinson's disease might decrease the risk of CRC, as discussed above, whereas anaemia may often be caused by CRC. Furthermore, we did not have access to data on what treatment CRC patients had received. In addition, the accuracy of death certificates may have an impact on our results. In an earlier study, the accuracy of Swedish death certificates has been discussed: the highest accuracy has been found for death certificates with a malignant disease as the underlying cause.26 The authors themselves point out, that some of the ‘inaccuracy’ may be attributed to different definitions of the underlying cause of death and main condition from the hospital discharge register.27 This also further motivates inclusion of accompanying death causes in our analyses.

Our study on cause-specific mortality differs from many previous CRC comorbidity studies,68 1012 which have assessed the influence of comorbidities on survival. Our approach has several advantages. We have used a large nationwide database on over 95 000 CRC cases, and performed analyses on 27 non-CRC causes of death, and also included accompanying death causes. In agreement with previous reports,16 1820 we believe that restricting mortality analyses to underlying causes only may lead to underrepresentation of some death causes, and that the true risks therefore might be underestimated. For example, in the present study, the risk of death from ‘pneumonia’ as the underlying cause was decreased in CRC patients. By contrast, CRC patients were at a slightly increased risk to die with a mention of ‘pneumonia’ as an accompanying death cause. Similarly, in a recent study, men with prostate cancer have been identified to have a decreased risk to die from categories ‘urinary system disease’ and ‘anaemia’ as the underlying cause (0.69 (95% CI 0.62 to 0.77) and 0.74 (95% 0.56 to 0.98) respectively), but an increased risk to die with these two causes mentioned anywhere in the death certificate (1.90 (95% CI 1.84 to 1.96) and 2.28 (95% CI 2.14 to 2.42), respectively).19 Inclusion of accompanying causes of death enables the assessment of the whole spectrum of comorbidities.

Venous thromboembolism (VTE) is the dominant disease in the category ‘diseases of pulmonary circulation’, which our CRC patients were at an increased risk to die from. The relationship between malignancy and VTE, eponymously known as Trousseau's syndrome, is well known. Thrombosis in cancer is multi-factorial, for example, cancer-related mechanisms causing a procoagulative state are endothelial damage and release or activation of procoagulative substances.28 Treatment modalities in CRC have also been associated with CRC. Surgery is a widely acknowledged risk factor for VTE. Application of the recently introduced biological Bevacizumab may also be associated with an increased risk of developing VTE.29 Chemotherapy has been associated with a twofold VTE risk increase among cancer patients.30 Similar to our results, the risk of VTE has been recognised to be highest shortly after CRC diagnosis, reaching an incidence of 5% in the first 6 months following CRC diagnosis, and conferring an overall negative impact on survival among CRC patients.8 9

Several gastrointestinal diseases can be linked to CRC. At diagnosis of CRC, 20–25% of patients present with hepatic metastases, which may cause hepatic failure and have long been associated with a poor prognosis in CRC patients.31 Previous comorbidity studies have associated concurrent liver diseases with increased risk of death among CRC patients.6 8 10 However, 5-year survival after resection of colorectal liver metastases has in recent years improved, approaching 50%.31 Ileus is a well-known postoperative complication, possibly due to postoperative alterations in autonomic nerve activity and due to opioid use.32

The category ‘external causes’ also featured high HRs, especially for iatrogenic causes. A Danish study found that during the first 30 days after an emergency surgery, 20.4% of CRC patients suffer from a surgical complication, for example, anastomosis leakage or obstruction.22 Surgical complications have been associated with an increased risk of death (OR 2.3 (1.2 to 4.4)). Suicide also presented high HRs, similar to several cancer types.14 19 33 The increased risk may be associated with the psychological reactions when a malignancy is diagnosed. Recently, the standardised death rate for suicide has been estimated at 1.90 (1.74 to 2.07) for individuals with CRC.14 The increased risk was especially high among male CRC patients.

What is already know on this subject.

  • Survival from cancer has increased during the past decades.

  • In only about 50% of, for example, prostate and breast cancer patients, the cancer is the underlying cause of death.

  • Comorbidities have a substantial effect on colorectal cancer (CRC) survival.

What this study adds.

  • CRC patients have an increased risk to die from several causes.

  • Time since cancer diagnosis and anatomical location of tumour may alter the hazard of death from several causes.

  • Including of all death causes mentioned in the death certificate is essential for death cause statistics.

How might this study impact on clinical practice in the foreseeable future?

To further improve survival, this study may increase awareness of comorbidities in clinicians handling CRC patients.

In conclusion, although the majority of CRC patients are dying from the CRC itself, we have found that affected individuals are at an increased risk to die from several other causes, notably external causes, diseases of pulmonary circulation and gastrointestinal diseases. The decreased risk of death from dementia and nervous system diseases remains intriguing. In the light of the present results, considering the prevention of non-CRC causes of death and comorbidities is therefore of interest in CRC patients.

Acknowledgments

The Swedish Family-Cancer Database is a sub-dataset of the MigMed database, Center for Primary Health Care in Malmö, University of Lund. This study was supported by grants from the German Krebshilfe, the Swedish Cancer Foundation, the Swedish Research Council (2008-3110 and 2008-2638), the Swedish council for working life and Social Research (2006-0386, 2007-1754 and 2007-1754), and ALF project grant, Lund, Sweden. The funding agencies had no role in the design and conduct of the study; in the collection, analysis and interpretation of the data; or in the preparation, review or approval of the manuscript. There are no conflicts of interest for any of the authors.

Footnotes

Contributors: HT and KH designed the study. KS collected the data. MR and HT analysed the data. MR, HT and KH interpreted the data and drafted the manuscript. All authors critically reviewed and approved the final manuscript.

Competing interests: None.

Provenance and peer review: Not commissioned; externally peer reviewed.

References

  • 1.Klint A, Engholm G, Storm HH, et al. Trends in survival of patients diagnosed with cancer of the digestive organs in the Nordic countries 1964-2003 followed up to the end of 2006. Acta Oncol 2010;49:578–607. [DOI] [PubMed] [Google Scholar]
  • 2.Talbäck M, Stenbeck M, Rosén M, et al. Cancer survival in Sweden 1960-1998–developments across four decades. Acta Oncol 2003;42:637–59. [DOI] [PubMed] [Google Scholar]
  • 3.Coleman MP, Forman D, Bryant H, et al. Cancer survival in Australia, Canada, Denmark, Norway, Sweden, and the UK, 1995-2007 (the International Cancer Benchmarking Partnership): an analysis of population-based cancer registry data. Lancet 2011;377:127–38. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Brenner H, Bouvier AM, Foschi R, et al. Progress in colorectal cancer survival in Europe from the late 1980s to the early 21st century: The EUROCARE study. Int J Cancer. Published Online First: 3 Aug 2011. doi: 10.1002/ijc.26192. [DOI] [PubMed]
  • 5.Quaglia A, Tavilla A, Shack L, et al. The cancer survival gap between elderly and middle-aged patients in Europe is widening. Eur J Cancer 2009;45:1006–16. [DOI] [PubMed] [Google Scholar]
  • 6.Yancik R, Wesley MN, Ries LA, et al. Comorbidity and age as predictors of risk for early mortality of male and female colon carcinoma patients: a population-based study. Cancer 1998;82:2123–34. [PubMed] [Google Scholar]
  • 7.Sarfati D, Hill S, Blakely T, et al. The effect of comorbidity on the use of adjuvant chemotherapy and survival from colon cancer: a retrospective cohort study. BMC Cancer 2009;9:116. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Gross CP, Guo Z, McAvay GJ, et al. Multimorbidity and survival in older persons with colorectal cancer. J Am Geriatr Soc 2006;54:1898–904. [DOI] [PubMed] [Google Scholar]
  • 9.Alcalay A, Wun T, Khatri V, et al. Venous thromboembolism in patients with colorectal cancer: incidence and effect on survival. J Clin Oncol 2006;24:1112–18. [DOI] [PubMed] [Google Scholar]
  • 10.Shack LG, Rachet B, Williams EM, et al. Does the timing of comorbidity affect colorectal cancer survival? A population based study. Postgrad Med J 2010;86:73–8. [DOI] [PubMed] [Google Scholar]
  • 11.Gross CP, McAvay GJ, Krumholz HM, et al. The effect of age and chronic illness on life expectancy after a diagnosis of colorectal cancer: implications for screening. Ann Intern Med 2006;145:646–53. [DOI] [PubMed] [Google Scholar]
  • 12.Lemmens VE, Janssen-Heijnen ML, Verheij CD, et al. Co-morbidity leads to altered treatment and worse survival of elderly patients with colorectal cancer. Br J Surg 2005;92: 615–23. [DOI] [PubMed] [Google Scholar]
  • 13.Baade PD, Fritschi L, Eakin EG. Non-cancer mortality among people diagnosed with cancer (Australia). Cancer Causes Control 2006;17:287–97. [DOI] [PubMed] [Google Scholar]
  • 14.Misono S, Weiss NS, Fann JR, et al. Incidence of suicide in persons with cancer. J Clin Oncol 2008;26:4731–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Jones OM, John SK, Horseman N, et al. Cause and place of death in patients dying with colorectal cancer. Colorectal Dis 2007;9:253–7. [DOI] [PubMed] [Google Scholar]
  • 16.Riihimäki M, Thomsen H, Brandt A, et al. Death causes in breast cancer patients. Ann Oncol 2012;23:604–10. [DOI] [PubMed] [Google Scholar]
  • 17.WHO. International Statistical Classification of Diseases and Related Health Problems. Tenth Revision, Volume 2, Second Edition. [PubMed] [Google Scholar]
  • 18.Redelings MD, Sorvillo F, Simon P. A comparison of underlying cause and multiple causes of death: US vital statistics, 2000-2001. Epidemiology 2006;17:100–3. [DOI] [PubMed] [Google Scholar]
  • 19.Riihimäki M, Thomsen H, Brandt A, et al. What do prostate cancer patients die of? Oncologist 2011;16:175–81. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Goldacre MJ, Duncan ME, Cook-Mozaffari P, et al. Trends in mortality rates comparing underlying-cause and multiple-cause coding in an English population 1979-1998. J Public Health Med 2003;25:249–53. [DOI] [PubMed] [Google Scholar]
  • 21.Hemminki K, Li X, Plna K, et al. The nation-wide Swedish family-cancer database–updated structure and familial rates. Acta Oncol 2001;40:772–7. [DOI] [PubMed] [Google Scholar]
  • 22.Iversen LH, Bülow S, Christensen IJ, et al. Postoperative medical complications are the main cause of early death after emergency surgery for colonic cancer. Br J Surg 2008;95: 1012–19. [DOI] [PubMed] [Google Scholar]
  • 23.Bajaj A, Driver JA, Schernhammer ES. Parkinson's disease and cancer risk: a systematic review and meta-analysis. Cancer Causes Control 2010;21:697–707. [DOI] [PubMed] [Google Scholar]
  • 24.Beyer MK, Herlofson K, Arsland D, et al. Causes of death in a community-based study of Parkinson's disease. Acta Neurol Scand 2001;103:7–11. [DOI] [PubMed] [Google Scholar]
  • 25.Brunnström HR, Englund EM. Cause of death in patients with dementia disorders. Eur J Neurol 2009;16:488–92. [DOI] [PubMed] [Google Scholar]
  • 26.Johansson LA, Westerling R. Comparing Swedish hospital discharge records with death certificates: implications for mortality statistics. Int J Epidemiol 2000;29:495–502. [PubMed] [Google Scholar]
  • 27.Johansson LA, Westerling R. Comparing hospital discharge records with death certificates: can the differences be explained? J Epidemiol Community Health 2002;56:301–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Bick RL. Cancer-associated thrombosis. N Engl J Med 2003;349:109–11. [DOI] [PubMed] [Google Scholar]
  • 29.Nalluri SR, Chu D, Keresztes R, et al. Risk of venous thromboembolism with the angiogenesis inhibitor bevacizumab in cancer patients: a meta-analysis. JAMA 2008;300:2277–85. [DOI] [PubMed] [Google Scholar]
  • 30.Blom JW, Vanderschoot JP, Oostindiër MJ, et al. Incidence of venous thrombosis in a large cohort of 66,329 cancer patients: results of a record linkage study. J Thromb Haemost 2006;4:529–35. [DOI] [PubMed] [Google Scholar]
  • 31.Morris EJ, Forman D, Thomas JD, et al. Surgical management and outcomes of colorectal cancer liver metastases. Br J Surg 2010;97:1110–18. [DOI] [PubMed] [Google Scholar]
  • 32.Carroll J, Alavi K. Pathogenesis and management of postoperative ileus. Clin Colon Rectal Surg 2009;22:47–50. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Fang F, Keating NL, Mucci LA, et al. Immediate risk of suicide and cardiovascular death after a prostate cancer diagnosis: cohort study in the United States. J Natl Cancer Inst 2010;102:307–14. [DOI] [PubMed] [Google Scholar]

Articles from Frontline Gastroenterology are provided here courtesy of BMJ Publishing Group

RESOURCES