Literature DB >> 35198920

Subsequent risk of suicide among 9,300,812 cancer survivors in US: A population-based cohort study covering 40 years of data.

Qiang Liu1, Xiangyu Wang1, Xiangyi Kong1, Zhongzhao Wang1, Mengliu Zhu1, Yinpeng Ren1, Hao Dong1, Yi Fang1, Jing Wang1.   

Abstract

BACKGROUND: Large cohort studies that estimate the variation in suicide risk among cancer patients, depending on disease type and patient characteristics, are lacking. We aimed to investigate suicide risk among patients with different cancers types in the United States (US) and to identify subsets of patients at particularly high risk.
METHODS: A total of 9,300,812 cases of cancer in the Surveillance, Epidemiology, and End Results (SEER) database that were diagnosed between 1975 and 2016 were included in the study. Standardized mortality ratio (SMR) and absolute excess risk (AER) of suicide were estimated.
FINDINGS: From the included cases, 14,423 cancer patients were identified as having died by suicide, representing 0.26% of all deaths. We found that cancer patients had a higher risk of suicide compared with the general population, which equated to 0.8 excess deaths per 10,000 person-years. Greater suicide risk was correlated with the following: specific cancer sites, male sex, American Indian/Alaskan Native ancestry, being divorced, being uninsured, distance of metastasis, aged between 60 and 69 at diagnosis, and having a more recent diagnosis. The greatest SMR and AER were found in patients with cancers of the respiratory system, followed by those of the oral cavity and pharynx, myeloma, bones and joints, digestive system, and brain and other nervous system cancers.
INTERPRETATION: Suicide risk among cancer patients varies greatly and depends on both disease type and patient characteristics. A tailored clinical management should be considered for patients at a higher risk of suicide. FUNDING: Natural Science Foundation of China.
© 2022 The Author(s).

Entities:  

Keywords:  Cancer patients; Epidemiology; SEER; Suicide risk; United States

Year:  2022        PMID: 35198920      PMCID: PMC8850339          DOI: 10.1016/j.eclinm.2022.101295

Source DB:  PubMed          Journal:  EClinicalMedicine        ISSN: 2589-5370


Evidence before this study

We searched PubMed for epidemiological studies, reviews, and guidelines published in English between January 1, 2000 and January 12, 2022, using the search terms “suicide” and “cancer.” We found several studies that investigated the association of cancer and suicide risk, but these were limited to either specific cancer sites or those that combined all cancers, not considering potential heterogeneity in the associations between various cancers and suicide. The existing evidence regarding suicide risk among cancer patients and how it changes over time remains to be understood.

Added value of this study

Overall, cancer patients in the US had a higher risk of suicide compared with the general population. We found these suicide risks varied greatly by cancer sites, as well as by patient characteristics, and that these risks have increased in more recent years. The greatest suicide risks were found in patients with cancers of the respiratory system, followed by those of the oral cavity and pharynx, myeloma, bones and joints, digestive system, and brain and nervous system cancers.

Implications of all the available evidence

To our knowledge, our study is the most comprehensive comparing the suicide risk of patients with a wide range of cancer sites with the suicide risk of the US general population. Our findings suggest that more tailored clinical management, prevention, and health policies should be considered for subsets of cancer patients at high risk of suicide. Alt-text: Unlabelled box

Introduction

Approximately 19.3 million new cancer cases, as well as an estimated 10.0 million cancer deaths, occurred worldwide in 2020. Cancer incidence and mortality are increasing rapidly all over the world: cancer is the major cause of death before the age of 70 years in 112 of 183 countries.,, Similarly, suicide is a leading cause of death in the majority of Western countries. The Global Burden of Disease Study and the World Health Organization (WHO) estimate that about 800,000 people die from suicide every year, or one person every 40 s., In the United States (US), suicide is the 10th leading cause of death, and cancer patients have an even higher suicide rate than the general US population. Previous studies have shown that, similar to the general population, sex and age are risk factors for suicide among cancer patients.7, 8, 9, 10 As cancer treatment has led to better survival rates, it is crucial to consider issues facing cancer patients, particularly their higher risk of suicide. Thanks to initiatives by the National Cancer Institute, awareness of the psychosocial needs of patients diagnosed with cancer is increasing. To that end, it may be helpful to determine which subgroups of cancer patients have a higher suicide risk. In 2008, Misono et al. investigated suicide risk among cancer patients using the Surveillance, Epidemiology, and End Results (SEER) database. Data from 1973 to 2002, which included about 3.6 million cancer cases, showed that cancers of certain sites were associated with a higher risk of suicide. In 2015, Kam et al. analyzed suicide risk in patients diagnosed with head and neck cancer. Using data from 1973 to 2011, they found that patients with head and neck cancer experienced more than three times the rate of suicide compared with the US general population. Recently, Zaorsky et al. reported that risk of suicide for cancer patients has increased in recent years, and that cancer patients diagnosed from 2011 to 2014 experienced more than 36 times the risk of the general US population. Previous study may had ignored the situation when patients with multiple primary tumors, which could confuse the results. Past studies evaluating suicide risk among cancer patients have shown large discrepancies, which may be due to recent progress in cancer screening, diagnosis and treatment strategies, as well as population differences between countries. Hence, suicide risk among cancer patients, and how it changes over time, remain to be fully understood. In our study, we performed in-depth analyses of the suicide risk of patients with cancer of cancer sites/organ systems, incorporating updated data from the SEER database. We estimated the suicide risk of patients with cancer, as compared with that of the general US population, depending on various sociodemographic factors and cancer types.

Methods

Data source

In this population-based cohort study, we used SEER*Stat software, version 8.3.9 to access the SEER 18 registries, which includes data for approximately 27.8% of the US population from 1975 to 2016. SEER is a cancer registry database that collects data on cancer cases from various locations and sources throughout the US. Comparisons with the general US population were based on the 2000 US census as well as incidence per million from the US population, as this is widely accepted and statistically sound. This study was approved by the institutional review board of the National Cancer Center of China, and written informed consent was waived given retrospective nature of the study.

Study population

For analyses of all cancers combined, we included all patients diagnosed with a malignant cancer. Patients were classified according to the “Site Recode the International Classification of Diseases for Oncology, third edition (ICD-O-3) /WHO 2008″ guidelines, which identify cancers of all sites/organ systems including cancers of the oral cavity and pharynx, digestive system, respiratory system, bones and joints, brain and other nervous system, breast, urinary tract, female reproductive system, male reproductive system, soft tissues including the heart, skin (excluding basal cell carcinoma and squamous cell carcinoma, endocrine system, eye and orbit, as well as mesothelioma, leukemia, lymphoma, Kaposi sarcoma, and miscellaneous. For site-specific analyses, only patients with a single primary cancer were included, as suicides in patients with multiple primary cancers would confound any association of a particular cancer site and suicide. We obtained cancer sites, sex, age, race, insurance status, marital status, time of diagnosis, tumor stage, cause of death, vital status and survival time for each patient. Those identified by death certificate or autopsy were excluded. We considered patients to have died by suicide only if the “COD to site record” class in the SEER program was coded as “suicide and self-inflicted injury.” Patient age was defined as age at cancer diagnosis. Patient race was classified into four major categories: American Indian/Alaskan Native, Asian or Pacific Islander, white and Black according to the “Race Recode (W, B, AI, API)” class. Patient marital status was classified as divorced, married, separated, unmarried or domestic partner, single (never married), widowed, or unknown.

Statistical analysis

To compare the rate of suicide among cancer patients with that of the US general population (as collected by the National Center for Health Statistics), we obtained absolute excess risk estimates (AER) through a standardized method implemented by the SEER*Stat software. Standardized mortality ratio (SMR) was calculated in SEER*Stat software using MP-SIR section, which provides the relative risk of death for patients with cancer as compared to US general population; here, the SMR was defined as the actual count of deaths caused by suicide / the number of events expected to be experienced, and confidence intervals were calculated by exact method implemented in the SEER *stat software. The AER was defined as ((Observed count - Expected count) x 10,000) / Person years at risk. Analysis for suicide risk over time after cancer diagnosis was adjusted for the sex, age, and race of cancer patients in the SEER database. Changing trend of SMR and AER over year of diagnosis was tested by using Mann Kendall Trend Test. All statistical analyses were performed by the Surveillance Research Program, National Cancer Institute SEER*Stat software (seer.cancer.gov/seerstat) version 8.3.9 and R Statistical Software version 4.0.3 (R Foundation for Statistical Computing), without multiple comparison corrections as the analyses were exploratory.

Role of the funding source

The funding source did not have any involvement in study design; data collection, data analysis or interpretation, writing, or submission of this article.

Results

Overall findings and baseline characteristics

Overall, 9,300,812 patients (48.8% female) aged from 0 to 80+ years were diagnosed with cancer between 1975 and 2016. Of these patients, 6,417,560 (69.0%) were over age 60 when diagnosed. We identified 14,423 patients with cancer who died by suicide, which represents 0.26% of all deaths. Characteristics of the study population, which had a mean survival time of 5.66 years (with a range of 0 to 41.92 years) are summarized in Table 1. We found that the overall SMR for the entire population was 1.45 (95% CI, 1.42–1.49) and the overall AER per 10,000 person-years with risk was 0.8. We observed variations in suicide risk depending on cancer sites/organ systems, the time since diagnosis, and patient characteristics (age, race, sex, insurance and marital status, and tumor stage) (Table 1). For the whole population, there was an increasing trend in the SMR (Z = 3.80, P < 0.001) and AER (Z=3.92, P < 0.001) of suicides among cancer patients in recent years.
Table 1

Suicide SMRs and AERs per 10,000 person-years at risk according to key patient characteristics for all cancer combined.

CharacteristicPatients with cancerDeath of suicide No. (%)% Suicide of totalSuicides per 100,000 Person-yearsPerson-yearsSMR b (95%CI)AERs per 10,000 Person-Years (95%CI)
Total9,300,81214,4230.2627.3852,667,5441.45*(1.42–1.49)0.8(0.799–0.8)
Sex
Female4,538,448 (48.8)2463 (17.1)0.108.9127,644,7871.39*(1.31–1.47)0.237(0.237–0.238)
Male4,762,364 (51.2)11,960 (82.9)0.4147.8025,022,7571.47*(1.43–1.51)1.45(1.449–1.451)
Race
American Indian/Alaska Native46,277 (0.5)57 (0.4)0.2224.01237,4481.94*(1.19–3)0.782(0.78–0.79)
Asian or Pacific Islander544,116 (5.9)523 (3.6)0.1817.363,012,3731.77*(1.55–2)0.688(0.687–0.689)
Black923,739 (9.9)463 (3.2)0.0810.464,427,4131.73*(1.51–1.97)0.469(0.468–0.47)
White7,706,141 (82.9)13,351 (92.6)0.2929.9644,555,8471.43*(1.4–1.47)0.837(0.837–0.838)
Unknown80,539 (0.9)29 (0.2)0.376.67434,463NANA
Age group
<=19101,043 (1.1)92 (0.6)0.389.041,017,1481.13(0.89–1.43)0.132(0.131–0.133)
20–291,464,934 (15.8)1683 (11.7)0.1443.753,847,2891.28*(1.1–1.47)0.418(0.417–0.419)
30–39141,028 (1.5)269 (1.9)0.8218.301,469,5661.36*(1.23–1.51)0.505(0.504–0.506)
40–49338,899 (3.6)616 (4.3)0.6118.983,244,9281.37*(1.26–1.47)0.485(0.485–0.486)
50–59811,452 (8.7)1238 (8.6)0.4218.456,709,4341.43*(1.36–1.52)0.646(0.645–0.646)
60–691,684,983 (18.1)2476 (17.2)0.3321.5011,517,3621.53*(1.46–1.6)0.967(0.967–0.968)
70–792,437,266 (26.2)4061 (28.2)0.3028.5214,240,1181.49*(1.42–1.56)1.168(1.167–1.169)
>=802,321,207 (25.0)3988 (27.7)0.2437.5510,621,6991.45*(1.33–1.57)1.142(1.401–1.144)
Tumor stage
Distant1,339,655 (14.4)1324 (9.2)0.1255.0021,897,1022.57*(2.29–2.87)2.591(2.588–2.595)
In situ149,999 (1.6)266 (1.8)0.4629.082,407,4810.94(0.73–1.19)−0.155(−0.153- −0.156)
Localized3,139,493 (33.8)4060 (28.1)0.4120.49914,6421.03(0.97–1.09)0.053(0.053–0.053)
Regional1,387,118 (14.9)1582 (11.0)0.2323.7219,810,5541.42*(1.29–1.55)0.628(0.627–0.629)
Unknown/unstaged314,828 (3.4)385 (2.7)0.1839.786,669,9021.61*(1.23–2.07)1.1(1.093–1.102)
Missing2,969,719 (31.9)6806 (47.2)0.2831.08967,8631.59*(1.55–1.64)1.052(1.052–1.053)
Marital status
Divorced761,080 (8.2)1580 (11.0)0.3540.703,881,8172.72*(2.52–2.94)2.314(2.312–2.316)
Married5,131,685 (55.2)7987 (55.4)0.2824.7132,320,0891.21*(1.17–1.25)0.412(0.411–0.412)
Separated101,983 (1.1)124 (0.9)0.1824.94497,1681.77*(1.35–2.28)0.982(0.978–0.986)
Single (never married)1,259,066 (13.5)2165 (15.0)0.3330.567,084,3561.96*(1.84–2.08)1.41(1.409–1.411)
Unmarried or Domestic Partner8116 (0.1)3 (0.0)0.1418.9415,8391.01(0.03–5.64)0.019(0.015–0.023)
Widowed1,407,949 (15.1)1455 (10.1)0.1326.975,395,0412.06*(1.9–2.22)1.266(1.265–1.268)
Unknown630,933 (6.8)1109 (7.7)0.3931.933,473,2351.50*(1.37–1.64)1.01(1.01–1.01)
Insurance
Any Medicaid451,971 (4.9)322 (2.2)0.1529.081,107,3252.54*(2.04–3.12)2.033(2.028–2.039)
Insured2,647,117 (28.5)2429 (16.8)0.2627.828,729,8991.28*(1.17–1.39)0.492(0.491–0.493)
Insured/No specifics627,104 (6.7)619 (4.3)0.2232.641,896,5911.42*(1.2–1.68)0.771(0.769–0.773)
Uninsured99,292 (1.1)111 (0.8)0.2640.18276,2342.72*(1.82–3.9)2.896(2.883–2.91)
Unknown268,285 (2.9)262 (1.8)0.2832.50806,0641.40*(1.1–1.75)0.872(0.868–0.876)
Missing5,207,043 (56.0)10,680 (74.0)0.2826.8039,851,4311.46*(1.42–1.5)0.813(0.813–0.814)
Year of diagnosis
1975–1979345,410 (3.7)875 (6.1)0.2729.752,941,0031.68*(1.56–1.8)1.15(1.147–1.15)
1980–1989864,538 (9.3)2423 (16.8)0.3133.547,223,6041.75*(1.67–1.82)1.323(1.322–1.324)
1990–19991,465,678 (15.8)3272 (22.7)0.2826.5412,326,9021.35*(1.3–1.41)0.634(0.633–0.634)
2000–20093,723,168 (40.0)5665 (39.3)0.2624.1823,423,7141.19*(1.13–1.26)0.339(0.338–0.339)
2009–20162,902,018 (31.2)2188 (15.2)0.2232.406,752,3211.54*(1.41–1.68)0.963(0.962–0.965)

Abbreviations: SMR, standardized mortality ratio; AER, absolute excess risk.

a * means that 95% confidence interval does not cross 1.0 and also the SMR is significant.

b Reference population: general US population based on the 2000 US standard population, Patients with multiple primary tumors were excluded automatically.

Suicide SMRs and AERs per 10,000 person-years at risk according to key patient characteristics for all cancer combined. Abbreviations: SMR, standardized mortality ratio; AER, absolute excess risk. a * means that 95% confidence interval does not cross 1.0 and also the SMR is significant. b Reference population: general US population based on the 2000 US standard population, Patients with multiple primary tumors were excluded automatically.

Differences in suicide risk by primary cancer sites/human organ systems

We found variations in SMRs and AERs for cancer sites/organ systems Table 2; The suicide risk among patients with cancers in most sites/organ systems was greater than that of the US general population, with the exception of cancers of the following types: skin excluding basal and squamous, endocrine system, and eye and orbit (Table S2). Among all primary cancer sites, patients with cancer of the hypopharynx had the largest SMR and AER, with a 7.59-fold risk compared with the general population (equating to 15.2 additional deaths per 10,000 person-years). This suicide risk was followed by mesothelioma, cancer of the oropharynx, and cancers of the nasopharynx, esophagus, pancreas, floor of mouth, lung and bronchus, and tongue. The largest SMR and AER were found among patients with cancers of the respiratory system, who had a 3.16-fold risk of suicide compared with the general population (equating to 4.29 additional deaths per 10,000 person-years). This suicide risk was followed by cancers of the oral cavity and pharynx, myeloma, bones and joints, digestive system, brain and nervous system. (Tables S1, S2).
Table 2

Suicide SMRs and AERs per 10,000 person-years at risk according to cancer sites/organ systems.

Single primary cancer bObservedExpectedSMRc (95%CI)AERs per  10,000 Person-Years (95%CI)
All Sites68064683.51.45*(1.42–1.49)0.8(0.799–0.8)
Oral Cavity and Pharynx421141.052.98*(2.71–3.28)4.3(4.293–4.304)
Lip6435.011.83*(1.41–2.33)2.564(2.555–2.573)
Tongue9529.233.25*(2.63–3.97)4.795(4.783–4.806)
Digestive System1065649.971.64*(1.54–1.74)1.201(1.2–1.203)
Stomach10435.72.91*(2.38–3.53)3.611(3.602–3.619)
Colon and Rectum721537.651.34*(1.24–1.44)0.65(0.649–0.651)
Colon excluding Rectum478366.371.30*(1.19–1.43)0.569(0.568–0.57)
Cecum9972.211.37*(1.11–1.67)0.669(0.667–0.672)
Ascending Colon5950.051.18(0.9–1.52)0.317(0.315–0.319)
Transverse Colon3729.181.27(0.89–1.75)0.476(0.473–0.479)
Descending Colon5126.521.92*(1.43–2.53)1.725(1.718–1.732)
Sigmoid Colon183144.451.27*(1.09–1.46)0.525(0.523–0.526)
Rectum and Rectosigmoid Junction243171.291.42*(1.25–1.61)0.833(0.832–0.835)
Rectosigmoid Junction7153.91.32*(1.03–1.66)0.627(0.624–0.63)
Rectum172117.381.47*(1.25–1.7)0.929(0.927–0.932)
Respiratory System796252.133.16*(2.94–3.38)4.289(4.286–4.293)
Larynx15167.82.23*(1.89–2.61)3.187(3.18–3.193)
Lung and Bronchus625174.743.58*(3.3–3.87)4.722(4.718–4.727)
Soft Tissue including Heart4734.161.38*(1.01–1.83)0.622(0.618–0.625)
Skin excluding Basal and Squamous329322.511.02(0.91–1.14)0.038(0.038–0.038)
Melanoma of the Skin307298.851.03(0.92–1.15)0.052(0.052–0.052)
Breast497366.141.36*(1.24–1.48)0.223(0.223–0.223)
Female Genital System191150.521.27*(1.1–1.46)0.167(0.167–0.168)
Cervix Uteri5533.371.65*(1.24–2.15)0.433(0.431–0.435)
Ovary4925.981.89*(1.4–2.49)0.572(0.57–0.474)
Male Genital System19131684.361.14*(1.09–1.19)0.434(0.433–0.434)
Prostate17771563.581.14*(1.08–1.19)0.443(0.442–0.443)
Testis124110.941.12(0.93–1.33)0.313(0.311–0.315)
Urinary System640485.571.32*(1.22–1.42)0.786(0.785–0.801)
Urinary Bladder461352.531.31*(1.19–1.43)0.839(0.837–0.84)
Kidney and Renal Pelvis168124.811.35*(1.15–1.57)0.678(0.676–0.68)
Brain and Other Nervous System5739.741.43*(1.09–1.86)0.631(0.628–0.634)
Brain4834.461.39*(1.03–1.85)0.574(0.571–0.577)
Endocrine System104114.170.91(0.74–1.1)−0.105(−0.104- −0.105)
Thyroid96108.020.89(0.72–1.09)−0.13(−0.129- −0.13)
Lymphoma338238.461.42*(1.27–1.58)0.736(0.735–0.738)
Hodgkin Lymphoma8561.481.38*(1.1–1.71)0.641(0.639–0.644)
Hodgkin - Nodal8560.531.40*(1.12–1.74)0.678(0.675–0.68)
Non-Hodgkin Lymphoma253176.981.43*(1.26–1.62)0.772(0.77–0.774)
NHL - Nodal183119.41.53*(1.32–1.77)0.96(0.958–0.963)
NHL - Extranodal7057.571.22(0.95–1.54)0.385(0.383–0.388)
Myeloma6530.622.12*(1.64–2.71)1.986(1.98–1.993)
Leukemia134106.371.26*(1.06–1.49)0.458(0.456–0.46)
Lymphocytic Leukemia8180.011.01(0.8–1.26)0.022(0.022–0.023)
Chronic Lymphocytic Leukemia6658.891.12(0.87–1.43)0.26(0.258–0.262)
Myeloid and Monocytic Leukemia4723.711.98*(1.46–2.64)1.625(1.619–1.632)
Miscellaneous8124.923.25*(2.58–4.04)4.21(4.199–4.222)

Abbreviations: SMR, standardized mortality ratio; AER, absolute excess risk;.

a * means that 95% confidence interval does not cross 1.0 and also the SMR is significant.

b Patients with single primary cancer only recorded in the SEER registry.

c Reference population: general US population based on the 2000 US standard population; Patients with multiple primary tumors were excluded automatically; adjusted for age, sex, and race distributions of cancer patients.

Suicide SMRs and AERs per 10,000 person-years at risk according to cancer sites/organ systems. Abbreviations: SMR, standardized mortality ratio; AER, absolute excess risk;. a * means that 95% confidence interval does not cross 1.0 and also the SMR is significant. b Patients with single primary cancer only recorded in the SEER registry. c Reference population: general US population based on the 2000 US standard population; Patients with multiple primary tumors were excluded automatically; adjusted for age, sex, and race distributions of cancer patients.

Differences in suicide risk over time following diagnosis

We found variations in suicide risk depending on cancer sites/ organ systems, and these risks changed over time post-diagnosis (Figure 1, Table S3). For all cancers combined, the SMR was highest in the first 2 months after diagnosis (SMR, 3.74; 95% CI, 3.23–4.3) (Figure 1); this phenomenon was observed for most of the organ systems. Interestingly, patients with cancers of soft tissue including heart, brain and other nervous system, urinary system, and lymphoma experienced the highest SMRs and AERs in the first 3 to 5 months, while the SMRs and AERs of patients with cancers of bones and joints fluctuated over time (Figure 1). Patients with cancers of the respiratory system, oral cavity, and pharynx experienced consistently higher suicide risk over time compared with the general population (Figure 1). We found that the greatest suicide risk occurred in patients with cancer of the hypopharynx in the first 2 months following diagnosis; in this time period these patients had a 15.8-fold risk compared with the general population (equating to 33.54 additional deaths per 10,000 person-years with risk). (Table S3)
Figure 1

Suicide Standardized Mortality Ratios (SMRs) and Absolute Excess Risks (AERs) per 10,000 person-years at risk according to cancer sites/organ systems by follow-up period. (All confidence intervals of SMRs can be found at corresponding supplementary table; Estimates of SMRs (A) and AERs (B) are presented in Table S3 in the Supplement). X axe denotes the time after cancer diagnosis. Y axe denotes SMR (A) and AER (B) of suicide by different latency periods. Color code denotes different cancer sites/organ systems by follow-up period.

Suicide Standardized Mortality Ratios (SMRs) and Absolute Excess Risks (AERs) per 10,000 person-years at risk according to cancer sites/organ systems by follow-up period. (All confidence intervals of SMRs can be found at corresponding supplementary table; Estimates of SMRs (A) and AERs (B) are presented in Table S3 in the Supplement). X axe denotes the time after cancer diagnosis. Y axe denotes SMR (A) and AER (B) of suicide by different latency periods. Color code denotes different cancer sites/organ systems by follow-up period.

Differences in suicide risk by sex

In our population, the patients who died by suicide were predominately male (11,960, 82.9%), accounting for more than four times the number of female patients. For all cancers combined, men had higher SMRs and AERs than women (Table 1). However, the association between risk of suicide and sex also varied by cancer sites/organ system. For most cancer sites/organ systems, men demonstrated higher SMRs and AERs than women (Table 3). Interestingly, we found that female patients with lymphoma, leukemia, or cancer of the urinary system showed higher SMRs than men with the same cancer; this phenomenon was also observed in cancer sites such as the oropharynx, esophagus, tongue, stomach, larynx, and lip. (Table S4).
Table 3

Variation in sex of suicide SMRs and AERs per 10,000 person-years at risk according to cancer sites/organ systems.

Primary CancerMale
Female
ObservedExpectedSMR c (95%CI)ObservedExpectedSMR c (95%CI)
Mesothelioma152.17.16*(4.01–11.81)10.283.58(0.09–19.97)
Respiratory System709221.783.20*(2.97–3.44)8730.362.87*(2.3–3.54)
Oral Cavity and Pharynx384127.563.01*(2.72–3.33)3713.492.74*(1.93–3.78)
Digestive System918554.961.65*(1.55–1.76)14795.011.55*(1.31–1.82)
Brain and Other Nervous System4532.331.39*(1.02–1.86)127.41.62(0.84–2.83)
Lymphoma280198.441.41*(1.25–1.59)5840.021.45*(1.1–1.87)
Soft Tissue including Heart4128.651.43*(1.03–1.94)65.511.09(0.4–2.37)
Breast189.861.82*(1.08–2.88)479356.271.34*(1.23–1.47)
Urinary System590452.261.30*(1.2–1.41)5033.311.50*(1.11–1.98)
Female Genital System000(0–0)191150.521.27*(1.1–1.46)
Leukemia11292.641.21(1–1.45)2213.731.60*(1–2.43)
Male Genital System19131684.361.14*(1.09–1.19)000(0–0)

Abbreviations: SMR, standardized mortality ratio; AER, absolute excess risk.

a * means that 95% confidence interval does not cross 1.0 and also the SMR is significant.

b Patients with cancer of single primary cancer classified by organ systems recorded in the SEER registry.

c Reference population: general US population based on the 2000 U.S. standard population; adjusted for age, sex, and race distributions of cancer patients.

Variation in sex of suicide SMRs and AERs per 10,000 person-years at risk according to cancer sites/organ systems. Abbreviations: SMR, standardized mortality ratio; AER, absolute excess risk. a * means that 95% confidence interval does not cross 1.0 and also the SMR is significant. b Patients with cancer of single primary cancer classified by organ systems recorded in the SEER registry. c Reference population: general US population based on the 2000 U.S. standard population; adjusted for age, sex, and race distributions of cancer patients.

Differences in suicide risk by race and marital status

Predominantly, patients who died by suicide were white (13,351, 92.6%). For all cancers combined, patients who identified as American Indian/Alaskan Native had the highest SMR (1.94, 95% CI, 1.19–3.00), followed by Asian or Pacific Islander, Black and white. Patients who indicated they were divorced had the highest SMR and AER (SMR, 2.72, 95% CI, 2.52–2.94; AER, 2.314, 95%CI, 2.312–2.316), followed by widowed, single (never married), separated, married, and unmarried or domestic partner (Table 1). These associations of suicide with race and marital status varied by cancer sites/organ systems (Figure 2). Patients who identified as Asian or Pacific Islander had the highest SMR in cancers of the respiratory system, while patients who identified as Black demonstrated the highest SMR in cancers of both the breast and oral cavity and pharynx (Table S5). While patients who indicated they were divorced had the highest SMR among most sites/organ systems, those who were widowed had the highest SMR and AER in cancer of bones and joints; they often had the second-highest SMR and AER (after those of divorced status) in other sites/organ systems as well (Figure 2, Table S6).
Figure 2

Suicide rates among cancer patients by race and marital status according to cancer sites/organ systems. (All confidence intervals of SMRs can be found at corresponding supplementary table; Reference population is the general US population, SMR indicates standardized mortality ratio). X axe denotes different cancer sites/organ systems. Y axe denotes SMR. Color code denotes race (A) and marital status (B). Error bars denote the 95% CI of SMRs.

Suicide rates among cancer patients by race and marital status according to cancer sites/organ systems. (All confidence intervals of SMRs can be found at corresponding supplementary table; Reference population is the general US population, SMR indicates standardized mortality ratio). X axe denotes different cancer sites/organ systems. Y axe denotes SMR. Color code denotes race (A) and marital status (B). Error bars denote the 95% CI of SMRs.

Differences in risk of suicide by age at diagnosis

For all patients combined, the rate of suicide increased with age, peaking with patients who were diagnosed between the ages of 60 and 69 (SMR,1.53, 95% CI, 1.46–1.6; AER, 0.967, 95%CI, 0.967–0.968) and then decreasing. Additionally, no significant difference of suicide risk was observed in patients diagnosed before age 19 (Table 1). These associations between risk of suicide and age varied by sites/organ systems (Fig. S1; Table S7). For example, patients with cancers of the digestive system, breast, and leukemia had the highest suicide rate when diagnosed between the ages of 20 to 29. With cancers of the respiratory system, risk of suicide increased with age, reaching its peak with those aged between 70 and 79 at diagnosis. Similarly, patients with bone and joint cancers demonstrated the highest SMR and AER when diagnosed between 70 and 79 years of age (Fig. S1).

Differences in risk of suicide by year of diagnosis

For the population as a whole, patients diagnosed between 1980 and 1989 had the highest risk of suicide: a 1.75-fold risk compared with the general population (equating to 1.32 additional deaths per 10,000 person-years with risk.) We also observed that the SMR (Z = 3.80, P < 0.001) and AER (Z = 3.92, P < 0.001) showed increased trend between 2010 and 2016 (Table 1, Fig. S2). The suicide risk during different periods varied by cancer sites/organ system (Fig. S2; Table S8). Most cancers were associated with an elevated SMR and AER in patients diagnosed between 1980 and 1989, which then decreased until 1999, and increased again in more recent years. Notably, the risk of suicide in patients with breast cancer, when compared with that of the general US population, decreased over the entire study period (Fig. S2).

Discussion

This study identified both patient characteristics and disease types associated with higher suicide risk, which will assist oncologists and psychiatrists in identifying patients who need psychological support. In our population-based study of more than 9 million individuals, data revealed that cancer patients in the US experienced a 45% increase in suicide risk when compared with the general population. Using SEER registry data through 2002, Misono et al. reported an SMR of 1.88 among cancer patients in the US, and suggested SMRs were greatest in the first 5 years after diagnosis. Our results build on these and move forwards, as we found that SMR was highest in the first 2 months after diagnosis in most cancer types, and that another peak can occur 3–5 months after diagnosis. Similar to our results, Henson's study using population-based data from England reported a SMR of 1.2. However, Zaorsky et al. reported an extremely high SMR of 4.44, which means suicide risk among cancer patients was more than four-fold than the general US population and one that in recent years even reached 36.91, which is inconsistent with our results. We believe that two potential explanations may account for this discrepancy. First, it may be due to a calculation error, which could have occurred if only using linked county attribute data that only impacted the SMR tables. Second, this study may have included patients with multiple primary tumors, which could confound the results. Han et al. reported a decreasing trend of cancer-related suicide in the Multiple Cause of Death database, which included 6487 cases with cancer. However, this result was limited to cancer patients among suicides rather than the reverse, so it should be interpreted with caution. In contrast, our study found an increasing trend in suicide risk among cancer patients diagnosed between 2000 and 2016. Our study revealed that suicide risk peaked within the first 2 months after cancer diagnosis and then decreased, which suggests that the mental and psychological stress associated with a cancer diagnosis lessens over time. Differences in the high-risk periods might be due to the heterogeneity of prognosis and treatment strategies in different cancer groups, therefore leading to different psychological status in patients. Clinically, our results suggest psychological assessment should be administered soon after diagnosis in different critical period, especially for cancer types with a high risk of suicide. As for general population in US, risk of suicide was highest among people with 50 to 69 years old, followed by 70+ years old and 15 to 49 years old according to data from global burden of disease [Ref: Global Burden of Disease Collaborative Network. Global Burden of Disease Study 2017 (GBD 2017) Results. Seattle, United States: Institute for Health Metrics and Evaluation (IHME), 2018]. We found the risk of suicide increased with age, peaking with patients who were diagnosed between the ages of 60 and 69 and then decreasing in most cancer groups, which showed a similar pattern with the general population. Clinically, our findings suggest more psychological attention should be considered for these high-risk subsets. Our current work adds to the existing literature examining suicide among cancer patients.,19, 20, 21, 22, 23Most previous studies limited to certain cancer types or certain time period, thereby ignoring the heterogeneity of different cancer sites and changing trend of the risk along time after cancer diagnosis. We are the first to report the SMR was greatest in the first 2 months after cancer diagnosis in most cancer types, which suggest more attention should be paid to cancer patients within this period. We found the profile of suicide risk has changed over time in the past 40 years, which might be due to the progress of screening, diagnosis and treatment strategies in cancer. As we all know, with the rapid development of medical technology, more cancer patients are diagnosed and better survival rates have been achieved in the past few decades, and most cancer patients are diagnosed with low-risk disease which is unlikely the direct cause of death that could be one explanation for the changing of suicide risk profile. In addition, there are no indication that specific cancers where these treatment changes have been made that leading to changes in suicide risk. Furthermore, despite the promotion of hospice care for patients with incurable cancer, the suicide risk remains elevated in recent years, which suggest it is insufficient to only focus on patients with incurable patients, future efforts regarding psychosocial, pain management and symptom control for patients with early-stage cancer should also be considered. Although male patients showed higher suicide risk in most of cancer types, we found female patients even showed higher suicide risk in several cancer groups. As these exceptions of cancer types might be associated with severe symptoms and worse prognosis, we hypothesize that this might be due to gender differences regarding psychological distress for these cancer types. Future study focusing on psychological reactions of different gender to different cancer types, treatment plans and symptoms might be helpful for answering this phenomenon. Our study may be limited by bias and the possible misclassification of suicide in the SEER database. Additionally, we were unable to investigate comorbid medical and psychiatric conditions, including factors that could influence the incidence of cancer, such as alcohol and tobacco use, which may be associated with their own risk of suicide (relative risk ranging from 1.4 to 4.3).26, 27, 28 Since alcohol and tobacco use could be common in patients with lung, head, and neck cancer, this may account for some of the increased suicide risk in these subgroups., Despite these limitations, our study has several strengths. First, to our knowledge, we used the largest patient cohort among all such studies. Second, we performed more in-depth analyses, providing an overview of the suicide risks associated with all cancers, and also how these risks varied depending on patient characteristics, which was unavailable in previous studies. Third, several personal characteristics have been examined in more detail, including marital status, insurance status and age group.

Declaration interests

The authors declare no competing interests.
  27 in total

Review 1.  Suicide in alcohol-dependent individuals: epidemiology and management.

Authors:  Sami P Pirkola; Kirsi Suominen; Erkki T Isometsä
Journal:  CNS Drugs       Date:  2004       Impact factor: 5.749

Review 2.  Association of alcohol and drug use disorders and completed suicide: an empirical review of cohort studies.

Authors:  Holly C Wilcox; Kenneth R Conner; Eric D Caine
Journal:  Drug Alcohol Depend       Date:  2004-12-07       Impact factor: 4.492

Review 3.  A literature review of suicide in cancer patients.

Authors:  Linda Anguiano; Deborah K Mayer; Mary Lynn Piven; Donald Rosenstein
Journal:  Cancer Nurs       Date:  2012 Jul-Aug       Impact factor: 2.592

Review 4.  Statistical methods in cancer research. Volume II--The design and analysis of cohort studies.

Authors:  N E Breslow; N E Day
Journal:  IARC Sci Publ       Date:  1987

5.  Suicide acts in 8 states: incidence and case fatality rates by demographics and method.

Authors:  R S Spicer; T R Miller
Journal:  Am J Public Health       Date:  2000-12       Impact factor: 9.308

6.  Suicide risk in cancer patients from 1960 to 1999.

Authors:  Erlend Hem; Jon H Loge; Tor Haldorsen; Øivind Ekeberg
Journal:  J Clin Oncol       Date:  2004-10-15       Impact factor: 44.544

7.  Incidence of Suicide in Patients With Head and Neck Cancer.

Authors:  David Kam; Andrew Salib; George Gorgy; Tapan D Patel; Eric T Carniol; Jean Anderson Eloy; Soly Baredes; Richard Chan Woo Park
Journal:  JAMA Otolaryngol Head Neck Surg       Date:  2015-12       Impact factor: 6.223

8.  Anticipating the "Silver Tsunami": Prevalence Trajectories and Comorbidity Burden among Older Cancer Survivors in the United States.

Authors:  Shirley M Bluethmann; Angela B Mariotto; Julia H Rowland
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2016-07       Impact factor: 4.254

9.  Global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories, 1980-2017: a systematic analysis for the Global Burden of Disease Study 2017.

Authors: 
Journal:  Lancet       Date:  2018-11-08       Impact factor: 79.321

10.  Suicide risk among cancer patients: experience at one medical center in Japan, 1978-1994.

Authors:  H Tanaka; H Tsukuma; T Masaoka; W Ajiki; Y Koyama; N Kinoshita; S Hasuo; A Oshima
Journal:  Jpn J Cancer Res       Date:  1999-08
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