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INTRODUCTION
The incidence of thyroid cancer has increased worldwide over the past 40 years [1]. Uniquely, the estimated age-standardized incidence of thyroid cancer is higher in high-income countries than in low-to middle-income countries [2]. This geographically unequal distribution of thyroid cancer incidence results from multiple causes, including diagnostic practices, health care systems, environmental exposures, and individual factors [3-5].
A profound increase in the incidence of thyroid cancer in Korea has taken place. The age-standardized incidence rate of thyroid cancer in Korea peaked in 2012 (74.83 per 100,000), declined until 2015 (42.52 per 100,000), and only fluctuated slightly until 2018 (48.62 per 100,000) according to joinpoint regression analysis [6]. Interestingly, this recent increase in the incidence of thyroid cancer was not correlated with the number of thyroid fine-needle aspiration procedures [7]. Li et al. [8] suggested that between 2008 and 2012, 90% of cases of thyroid cancer in Korean women were due to overdiagnosis. Although thyroid cancer screening is not included in the national screening programs of Korea, high access to medical services may have contributed to the unique characteristics of thyroid cancer screening in Korea, with a high proportion of thyroid cancers diagnosed by screening tests.
Several studies have suggested that thyroid cancers detected by screening were smaller and patients were younger at diagnosis than symptomatic thyroid nodules [9,10]. However, the impact of screening on mortality remained controversial [11]. In a systematic review of 18 observational studies, when comparing incidental and non-incidental thyroid nodules, the risks of thyroid cancer were similar in both groups (odds ratio [OR], 1.04; 95% confidence interval [CI], 0.63 to 1.70), and incidentally detected thyroid cancer had better progression-free and overall survival [12]. The major limitation of these large-scale retrospective studies regarding the impact of screening was the difficulty in adjusting the innate imbalance between both groups in factors such as age, sex, and the size and histologic subtype of tumors [13].
This study aimed to compare the mortality of thyroid cancer according to the detection route using a publicly accessible nationwide cohort database. The National Epidemiological Survey of Thyroid cancer (NEST) was constructed to investigate secular trends in the clinicopathological features of Korean thyroid cancer patients by a two-stage sampling method at three time points (1999, 2005, and 2008) [14]. In addition, to eliminate the potential bias arising from differences in age, sex, and the year of thyroid cancer registration, inverse probability of treatment weighting (IPTW), as the inverse of the propensity score, was used in all analyses.
METHODS
Study design and participants
The NEST study was a retrospective nationwide study containing data from patients with thyroid cancer in 1999, 2005, and 2008 extracted from the Korea National Cancer Incidence Database by December 2010. Twenty-four hospitals were finally selected, including at least one hospital in each of the 12 provinciallevel divisions in Korea. Thyroid cancer patients were randomly selected from local hospitals according to the proportion of registered thyroid cancer patients in each administrative district.
A total of 6,846 patients with thyroid cancer were selected as the sample population. The number of thyroid cancer patients registered in the Korean National Cancer Incidence Database (KNCI DB) was 3,342 in 1999, 12,659 in 2005, and 26,890 in 2008, and different proportions of thyroid cancer patients were sampled for different years of study: 33% in 1999 (n=1,103 patients), 22% in 2005 (n=2,785 patients), and 11% in 2008 (n=2,958). Of 6,846 sampled patients with thyroid cancer, 5,796 patients (84.7%) were included in the NEST study after excluding 960 patients due to the refusal of two hospitals to participate and 90 patients due to missing or inadequate data. For this study, 4,145 patients were included in the study after excluding 1,651 patients due to insufficient data on the route of thyroid cancer detection and confounding factors associated with mortality, including smoking status, alcohol drinking status, diabetes mellitus, and hypertension.
Baseline information and classification of the routes of thyroid cancer detection
Clinical information, including age, sex, comorbidities, the route of diagnosis for thyroid cancer, histology, tumor, node, metastasis (TNM) stage (defined by the American Joint Committee on Cancer [AJCC] sixth edition) from the postoperative pathology, and treatment was collected through medical record review. Mortality data, including the date and cause of mortality, were extracted from the cause-of-death database of Statistics Korea by December 31, 2020 and linked to the NEST dataset. Causes of mortality were presented as International Classification of Diseases, 10th revision codes, and we defined thyroid cancer-specific mortality as occurring when the cause of mortality was coded as thyroid cancer (C73).
The NEST study collected information about the detection route through electronic medical record review (screening vs. clinical suspicion). We divided subjects according to the route of thyroid cancer detection into the screening group (diagnosed during cancer screening or incidentally diagnosed during treatment for diseases other than thyroid disease) and the clinical suspicion group (diagnosed from an examination of symptoms related to thyroid disease, such as throat pain or a palpable mass).
Statistical analysis
Continuous variables are presented as means with standard deviation, with P values calculated according to the route of thyroid cancer detection using the t test. Categorical variables are presented as numbers (%) with P values calculated using the chi-square test. Considering the possible bias arising from age, sex, and year of thyroid cancer registration, we calculated the stabilized IPTW as the inverse of the propensity score with age, sex, year of thyroid cancer registration, smoking status, alcohol drinking status, diabetes, and hypertension according to the route of detection using R package “ipw” (R Foundation for Statistical Computing, Vienna, Austria). We revalidated the balance of covariates after weighting using standardized differences. A standardized difference of less than 0.1 was considered to indicate a well-balanced covariate.
We compared the cumulative mortality rates between the screening group and clinical suspicion group using Kaplan-Meier plots with the log-rank test for IPTW-adjusted samples. Cox regression analysis was performed to assess the hazard ratios (HRs) for all-cause and thyroid cancer-specific mortalities with and without IPTW.
To investigate the direct and indirect effects of the route of thyroid cancer detection on thyroid cancer-specific mortality through the clinicopathologic status of thyroid cancer, we conducted a regression-based causal mediation analysis using the package “Regmedint” developed by Li et al. [15]. We calculated the total natural indirect effect, total natural direct effect, and total effect according to the presence of thyroid-related symptoms, adjusting for age, sex, year of thyroid cancer registration, smoking status, alcohol drinking status, diabetes, and hypertension.
The statistical analysis was performed using SPSS version 24.0 (IBM Corp., Armonk, NY, USA) and R version 3.1.0 (R Foundation for Statistical Computing; www.r-project.org). P values <0.05 were considered statistically significant.
Ethical considerations
The research protocol for the NEST study was approved by the Institutional Review Board (IRB) of the National Cancer Center (no. NCC2017-0070). All study procedures followed the ethical standards outlined by the IRB of the National Cancer Center for human participants and were in line with the Declaration of Helsinki. Informed consent was not required because all data were fully anonymized before access. The NEST data are publicly opened and freely available.
RESULTS
Baseline characteristics according to the route of thyroid cancer detection
Of 5,796 patients with thyroid cancer, 4,145 patients were included in the study after excluding 1,651 patients due to insufficient data on the route of thyroid cancer detection. The mean age of the patients was 46.8±12.4 years, and 84.6% of them were women. A total of 345 patients (8.3%) died during a median follow-up period of 170 months (interquartile range, 148 to 187). Of those, 84 deaths (2.0%) were due to thyroid cancer.
Table 1 summarizes the baseline characteristics according to the route of thyroid cancer detection, which were included in IPTW matching. Although no significant differences in age were found according to the route of thyroid cancer detection, a significant difference in the proportions of sex and year of registration was found. After IPTW, patients’ baseline characteristics were well-balanced according to the route of thyroid cancer detection (all standardized differences <0.1). The clinicopathologic characteristics are summarized in Table 2. The tumor size was significantly larger in the clinical suspicion group than in the screening group. In addition, all-cause mortality and thyroid cancer-specific mortality were higher in the clinical suspicion group than in the screening group. After IPTW, the clinical suspicion group also showed a higher incidence of all-cause and thyroid cancer-specific mortality than the screening group (Table 2).
Association between the route of thyroid cancer detection and clinicopathologic characteristics of thyroid cancer
In comparison with the screening group, the clinical suspicion group was associated with large tumor size (Table 2) and advanced T stage (Table 3) in both unweighted and weighted analyses. Although the associations with the risk of lymph node and distant metastasis did not reach statistical significance, the clinical suspicion group showed a moderate association with extrathyroidal extension and advanced stage in the weighted analysis.
Association between the route of thyroid cancer detection and thyroid cancer-specific mortality
Kaplan-Meier survival curves with IPTW-adjusted data revealed significantly higher rates of all-cause and thyroid cancer-specific mortality in the clinical suspicion group than in the screening group (log-rank test, P<0.001) (Fig. 1). In Cox regression analysis adjusted with IPTW, the clinical suspicion group had a significantly higher risk of all-cause mortality (HR, 1.43; 95% CI, 1.14 to 1.80) and thyroid cancer-specific mortality (HR, 3.07; 95% CI, 1.77 to 5.29) (Table 4).
In the subgroup analysis according to age, Kaplan-Meier survival curves revealed a significantly higher rate of thyroid cancer-specific mortality in the clinical suspicion group than in the screening group in both groups (aged <55 and ≥55 years) (Fig. 2). The adjusted HR in the clinical suspicion group was 4.71 (95% CI, 1.67 to 13.28) in patients aged <55 years and 2.45 (95% CI, 1.32 to 4.56) in patients aged ≥55 years (Table 4).
In Kaplan-Meier survival curves according to sex, the clinical suspicion group showed a significantly higher rate of thyroid cancer-specific mortality than screening group in both men and women (Fig. 2). The adjusted HR of the clinical suspicion group was 3.25 (95% CI, 1.40 to 7.53) in men and 2.94 (95% CI, 1.44 to 6.02) in women (Table 4). Although few cases of thyroid cancer-specific mortality were reported in the subgroup with early-stage thyroid cancer (AJCC sixth edition stage I and II), Kaplan-Meier survival curves revealed a significantly higher rate of thyroid cancer-specific mortality in the clinical suspicion group than in the screening group (log-rank test, P=0.003) (Fig. 2). The risk for thyroid cancer-specific mortality was higher in the clinical suspicion group (adjusted HR, 12.15; 95% CI, 1.50 to 98.55) than in the screening group (Table 4).
In the subgroup with an advanced stage of thyroid cancer (stage III and IV), a higher rate of thyroid cancer-specific mortality was found in the clinical suspicion group than in the screening group (log-rank test, P<0.001) (Fig. 2). The adjusted HR for thyroid cancer-specific mortality was 2.59 (95% CI, 1.38 to 4.86) in the clinical suspicion group with an advanced stage of thyroid cancer (Table 4). A subgroup analysis according to lymph node metastasis and distant metastasis showed that the clinical suspicion group had a significantly higher risk of thyroid cancer-specific mortality regardless of the presence of lymph node metastasis and distant metastasis (Table 4).
Effect of clinically detected thyroid cancer on mortality and its mediating factors
Using mediation analysis, we present a conceptual model in which clinically detected thyroid cancer is directly associated with thyroid cancer-specific mortality and indirectly through advanced thyroid cancer (T3–4, lymph node metastasis or distant metastasis) (Fig. 3A). Thyroid cancer detected due to symptoms showed a significant direct effect on thyroid cancer-specific mortality, as the total natural direct effect according to detection based on symptoms demonstrated a 3.73 times higher risk of thyroid cancer-specific mortality (Fig. 3A). In addition, clinically detected thyroid cancer was also associated with a higher risk of advanced thyroid cancer (OR, 1.22; 95% CI, 1.04 to 1.43), which was associated with thyroid cancer-specific mortality (HR, 5.53; 95% CI, 1.68 to 18.18) (Fig. 3A). A significant indirect effect indicates that advanced thyroid cancer detected based on clinical symptoms partially increased the risk of thyroid cancer death. We also conducted a mediation analysis with tumor size. Clinically detected thyroid cancer is directly associated with thyroid cancer-specific mortality (Fig. 3B). Clinically detected thyroid cancer showed a significant association with larger tumor size (β=5.20; 95% CI, 4.46 to 5.95), which increased the risk of thyroid cancer-specific mortality (HR, 1.04; 95% CI, 1.03 to 1.50) (Fig. 3B). Clinically detected thyroid cancer indirectly increased the risk of thyroid cancer-specific death, mediated by large tumor size (HR, 1.20; 95% CI, 1.13 to 1.28) (Fig. 3B).
DISCUSSION
This study found that all-cause and thyroid cancer-specific mortality rates were higher in patients with clinically detected thyroid cancer than in those diagnosed by screening. Larger tumor size and advanced T stage (stages 3 and 4) were significantly associated with the clinical suspicion group in comparison to the screening group. The clinical suspicion group also had higher risks of extrathyroidal extension and advanced stage in a weighted analysis.
Although thyroid cancer incidence has increased, it is still inconclusive whether thyroid cancer-related mortality has worsened in a way that reflects the rising incidence, has decreased due to early intervention following early diagnosis, or has remained stable due to overdiagnosis [16]. Pizzato et al. [13] analyzed age-standardized incidence and mortality rates in the international Global Cancer Observatory: Cancer Today (GLOBOCAN) database in 2020 and reported that although the geographical variability in thyroid cancer incidence rates was large, the mortality rates were similar regardless of the region. When analyzing the International World Health Organization Mortality Database using an age-period-cohort model, age-specific mortality curves consistently showed similar long-term declines across countries and time periods [17]. In contrast, Lim et al. [18] showed increases in the incidence and mortality of thyroid cancer for advanced thyroid cancer, suggesting a true increase in thyroid cancer incidence in the United States, using the Surveillance, Epidemiology, and End Results (SEER) database during 1974 to 2013. Megwalu and Moon [19] analyzed the SEER database for 2000 to 2018 and suggested that incidence-based mortality has continued to increase despite a decrease in thyroid cancer incidence since 2014. This inconsistency stems from the fact that those large databases do not provide detailed results for the histological subtype or stage, making subgroup analysis or stratification not applicable; therefore, it is difficult to weigh the benefits and harms of thyroid cancer screening based on those analyses.
In order to compare mortality rates according to thyroid cancer screening experience along with detailed clinicopathological findings, we analyzed the NEST database, which was established to evaluate temporal trends in thyroid cancer characteristics in Korea. Previously, Jung et al. [20] analyzed the NEST database and found that the survival rate of stage 3–4 thyroid cancer was 63% higher in the screening group than in the clinical diagnosis group, but without a significant difference in stage 1–2 thyroid cancer. However, in that study, a majority of deaths (n=329, 85.5%) were excluded from the 385 deaths after propensity score matching. To minimize the number of deaths missed in the analysis, we reanalyzed the database by adjusting the two groups with IPTW instead of propensity score matching. As a result, of the 4,439 patients included in this analysis, 385 (8.7%) died of any cause during a median follow-up of 170 months. After adjustment using IPTW, the clinical suspicion group had a 69% higher risk of death than the screening group. These results are consistent with previous studies comparing mortality between incidental and non-incidental thyroid cancer [1,21-30].
In another study, Jun et al. [11] investigated the association between thyroid cancer screening and mortality by defining patients who died of thyroid cancer in the NEST cohort as the death-case group and 1:10-matched newly diagnosed thyroid cancer patients in the National Cancer Screening Program (NCSP) cohort as the survival-control group, and mortality rates were compared. Thyroid cancer patients who received screening had a higher risk of death, but without statistical significance (OR, 1.44; 95% CI, 0.68 to 3.05). However, that study had two limitations. First, the route of cancer detection, which is a major factor in determining group allocation, was inconsistently defined in the NEST cohort (symptoms, screening tests, or incidental findings) and NCSP cohort (whether or not an individual underwent thyroid ultrasound screening). In addition, the proportion of the screening group was only 9.4% in the survival-control group (NCSP), which was significantly lower than the proportion (49.1%) in the death-case group (NEST). In contrast, Kim et al. [31] asked about the diagnostic motives of thyroid cancer patients prospectively and reported that the proportion of cancers detected by screening has rapidly increased since 2000, comprising more than half of patients in 2000 to 2005 and up to 90% in 2011 to 2013. In the entire NEST database, we found that 56.2% of patients were detected clinically out of the 385 deaths, which was consistent with Kim et al. [31].
Comparing the clinicopathological characteristics, we found that the clinical suspicion group had larger tumors and were more likely to have advanced T stage than the screening group. We also found that the benefit of screening for cumulative mortality by cancer was greater in patients older than 55 years, men, and stage III–IV patients in subgroup analyses. Using mediation analysis to assess the direct effect of screening, thyroid cancers detected due to thyroid-related symptoms were associated with a high risk of thyroid cancer-specific mortality, which was significantly mediated by an advanced stage of thyroid cancer and tumor size. These histological features have shown associations with recurrence, but not with mortality. However, opposing evidence has suggested that repeated recurrence is associated with reduced survival [32]. A recent analysis showed that although individual clinicopathologic factors were not strongly associated with cancer-specific survival or overall survival, there was a significant synergistic effect when multiple factors were involved in terms of the attributable ratio and synergy index [33].
Regarding the period of thyroid cancer diagnosis, cumulative mortality was highest in participants diagnosed in 1999, followed by those diagnosed in 2005 and 2008, respectively. The difference in mortality between the clinical detection group and the screening group persisted at all three time points, suggesting that thyroid cancer screening has the potential to reduce aggressiveness through early diagnosis and intervention. In a meta-analysis of 29 autopsy studies involving 8,750 patients, Robenshtok et al. [34] reported that unfavorable histological features, such as minimal extrathyroidal extension, lymph node metastasis, multifocality, and vascular invasion were commonly observed in occult differentiated thyroid carcinomas. Thus, patients with undesirable histological features, which are unpredictable prior to screening, may be candidates for survival through screening.
Our study has several limitations. Firstly, the database used for analysis was a retrospective national cohort that was sampled at three different time points. To mitigate this issue, we adjusted for year of registration, age, and sex to remove lag time bias and innate bias between the two groups due to the study design. Secondly, healthy controls were not included in the comparison of baseline characteristics. However, since the aim of this study was to compare the outcomes of incidentally detected thyroid cancer versus symptomatic thyroid cancer, controls were not essential for the analysis. Finally, there were cases where the method of detection was difficult to distinguish between screening and clinical suspicion. For instance, incidental thyroid cancers discovered during the evaluation of other comorbidities could not be distinguished from cases with the sole purpose of screening. Additionally, nonspecific symptoms related to the upper aerodigestive tract were not specific signs of thyroid cancer, but were a common reason for patients to visit the clinic and receive screening for thyroid cancer. In this study, out of 4,145 thyroid cancer patients, 214 had other types of cancer, with 169 being in the screening group, and three of them died from thyroid cancer. Conversely, among the 45 symptomatic patients with other types of cancer, three also died from thyroid cancer. A higher mortality risk was observed in this group, but the number of deaths from thyroid cancer was too small to conduct a detailed analysis.
The strengths of this study are that it is the first study to directly compare the mortality rates according to whether thyroid cancer was detected based on clinical suspicion or screening based on the mortality database of Statistics Korea, and that it is linked to a national database established through a comprehensive medical record review. In addition, this cohort was well-designed, with two-stage random sampling stratified by age, sex, and region. Second, to eliminate potential biases that could arise from differences between the two groups in terms of age, sex, and year of thyroid cancer diagnosis, IPTW was used, reducing the possibility of case loss after propensity score matching. Sampling at the three time points also helped reflect the impact of evolving diagnostic and treatment strategies for thyroid cancer.
In conclusion, our findings provide important evidence that the early detection of thyroid cancer has a survival advantage over the diagnosis of symptomatic thyroid cancer. In particular, discussions on the need for cancer screening are moving toward discussions on the best management strategy, such as active surveillance, reduction of the surgical range, and minimization of indications for radioactive iodine therapy. Therefore, treatment following early diagnosis is not always harmful and can develop into a well-balanced treatment strategy.
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