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01.12.2017 | Research article | Ausgabe 1/2017 Open Access

BMC Cancer 1/2017

Thyroid fine-needle aspiration biopsy positively correlates with increased diagnosis of thyroid cancer in South Korean patients

Zeitschrift:
BMC Cancer > Ausgabe 1/2017
Autoren:
Yoon Jae Cho, Do Young Kim, Eun-Cheol Park, Kyu-Tae Han
Wichtige Hinweise

Electronic supplementary material

The online version of this article (doi:10.​1186/​s12885-017-3104-0) contains supplementary material, which is available to authorized users.
Abbreviation
ANOVA
Analysis of variance
CI
Confidence interval
EDI
Electronic data interchange
GEE
Generalized estimated equations
ICD
International classification of diseases
NHI
National Health Insurance
NHIS
National Health Insurance Service
QIC
Quasi-likelihood under the independence criterion
RR
Relative risk
SD
Standard deviation

Background

South Korea has experienced rapid modernization both socially and economically, leading to the improved health status of South Koreans but an increase of elderly individuals [ 1, 2]. As a result, the dominant disease patterns of South Koreans shifted from communicable diseases to non-communicable diseases [ 3], such as cancer [ 4, 5]. Many South Koreans now participate in preventive “health checkup” programs, which can positively affect cancer-related health outcomes. However, increased medical testing has led to an unexpected challenge: the “over-diagnosis” of asymptomatic cancers in South Korean individuals [ 6, 7].
Over-diagnosis occurs when a condition is diagnosed that would otherwise not produce symptoms or cause death [ 8] and has been tentatively observed with respect to thyroid cancer [ 9]. According to GLOBOCAN, the incidence of thyroid cancer in South Korea was more than 10-fold greater than in other countries, although its mortality rate is similar (incidence: 52.8 per 100,000 South Koreans, 4.0 per 100,000 people worldwide; mortality: 0.5 per 100,000 individuals) [ 10, 11]. In addition, the incidence has rapidly increased in South Korea (6.9 vs. 71.3 per 100,000 people in 2000 and 2013, respectively) in parallel with increased medical utilization during this time [ 12]. Therefore, many healthcare professionals have investigated the possible causes of such rapid increases. The increased incidence of small papillary thyroid cancer with an unchanged mortality rate [ 13, 14] suggests that it may result due to more frequent thyroid cancer screenings, improved diagnostic scrutiny, increased coverage of the National Health Insurance (NHI), more accessibility to ultrasonography, and certain environmental and genetic factors [ 6, 15].
In South Korea, cancer screenings, including thyroid biopsy, are often performed to confirm abnormal findings based on ultrasonography or other clinical indications [ 16]. According to the National Health Insurance Service (NHIS), the number of thyroid fine-needle aspiration biopsies increased in parallel to the increase in newly diagnosed cases of thyroid cancer [ 17]. Nevertheless, there are no alternatives for controlling such increases in fine-needle aspiration biopsy and thyroid cancer, and more detailed studies are required to establish effective alternatives for optimal management of thyroid cancer. We hypothesized that the increase in biopsies could significantly affect diagnosis of thyroid cancer, and possibly lead to overdiagnosis. The current study aims to identify an increase in the number of unnecessary thyroid fine-needle aspiration biopsies, and to determine whether it contributes to increasing diagnosis of thyroid cancer.

Methods

Study population

The data used in this study were obtained from the NHIS National Sample Cohort 2002–2013 released in 2014 and include a nationally representative random sample of 1,025,340 individuals, approximately 2.2% of the entire NHIS population in 2002. The data were compiled by the NHIS using a systematic sampling method to generate a representative sample of 46,605,433 Korean residents. The database includes all medical claims filed from January 2002 to December 2013. To investigate the relationship between the number of thyroid fine-needle aspiration biopsies in each geographic region and newly diagnosed cases of thyroid cancer, we excluded patients who were diagnosed with thyroid cancer (ICD-10: C73) before 2003. We then identified patients who underwent a thyroid biopsy (EDI code: C8591) and aggregated this number as a unit of 253 basic administrative districts (Si-Gun-Gu; city-county-ward) of South Korea. Data used in this study consisted of 11,024,548 person-years of 1,122,456 individuals during 2003–2013.

Variables

Our outcome variable was the number of newly diagnosed cases of thyroid cancer during the study period, indicated by the first hospital visit during which thyroid cancer (ICD-10: C73) was the major diagnosis for each patient.
The primary independent variable was the number of fine-needle aspiration biopsies performed in each Si-Gun-Gu. We first identified whether patients received thyroid needle aspiration biopsies based on EDI Code and aggregated the number of biopsies as a unit of Si-Gun-Gu per each year. We then calculated the number of biopsies per 100,000 patients using the following formula:
$$ =\frac{{\displaystyle \sum } Thyroid\ fine\ needle\ aspiration\ biopsy\ in\ Si- Gu n- Gu}{The\ number\ of\ population\ in\ Si- Gu n- Gu} \times 100,000 $$
We also adjusted other independent variables when analyzing the association between the number of biopsies per 100,000 people and cases of newly diagnosed thyroid cancer. Other independent variables included sex, age, income, type of insurance coverage, study year, region, and the financial independence rate of the local government. Ages were categorized as ≤19, 20–29, 30–39, 40–49, 50–59, 60–69, 70–79, and ≥80 years to reflect differences in diagnosis of thyroid cancer [ 18]. The types of insurance coverage were categorized as medical aid, NHI employee insurance, or NHI self-employed insurance based on NHI criteria. Those with NHI employee insurance included workers and employers in all workplaces, public officials, private school employees, continuously insured persons, and daily paid workers at construction sites. Beneficiaries of NHI employee insurance included spouses, descendants, siblings, and parents. Individuals with NHI employee insurance paid approximately 7% of their average salary in contribution payments, though these rates usually changed annually. The NHI self-employed insurance category included people whose contribution amount was set based on their income, property, living standard, and rate of participation in economic activities. Medical aid beneficiaries were patients with an income below the government-defined poverty level or who had a disability and were provided with free in- and outpatient care via government funds. Therefore, the type of insurance coverage represented each patient’s socioeconomic status [ 2]. We included this variable in the study to consider potential differences in the accessibility of thyroid cancer screening according to socioeconomic status. The financial independence rate of the local government was an index of the finance utilization capacity of a local government with independent discretionary power, which was calculated as: (local taxes + non-tax revenue)/local government budgets × 100 [ 19].

Statistical analysis

We first examined the frequencies and percentages of each categorical variable or the mean and standard deviation of each continuous variable at each patient’s baseline, respectively. We performed χ2 tests to analyze the distribution of person-years for each categorical variable by diagnosis of thyroid cancer and an analysis of variance (ANOVA) for each continuous variable by diagnosis during the study period. The tests were performed in all study subjects and patients who received thyroid biopsy, respectively. Finally, we performed Poisson regression analysis using generalized estimating equations (GEE) to investigate the relationship between the number of thyroid biopsies and cases of newly diagnosed thyroid cancer adjusting for sex, age, income, type of insurance coverage, study year, region, and financial independence rate of regional government. GEE models with link logit that included both patient- and region-level variables were analyzed, as data used in this study were hierarchically structured and had binary outcome variables. This model assumed proper distributions for each hospitalization case while taking into account the correlation among individuals within the Si-Gun-Gu. In this study, the correlation was an exchangeable correlation structure [ 20]. To identify whether thyroid biopsies were unnecessary for diagnosis of thyroid cancer, we also analyzed the relationship between the number of thyroid biopsies and newly diagnosed thyroid cancer cases only among patients who received thyroid biopsies. The goodness-of-fit for the GEE model was assessed using the quasi-likelihood under the independence criterion (QIC), whose lower value indicated the goodness-of-fit [ 21]. In addition, we performed sub-group analyses for Poisson regression analyses to compare differences in the association between the number of biopsies and cases of newly diagnosed thyroid cancer according to sex, income, the median number of thyroid fine-needle biopsies, and financial independence rate of the local government. All statistical analyses were performed using SAS version 9.4.

Results

The data used in this study were compiled from 1,122,456 people at baseline and represented 11,024,548 person-years during the study period. Additional file 1 shows the patients’ general characteristics, including individual- and regional-level variables at baseline. The average follow-up period of each person included in this study was 9.82 person-years. The average number of thyroid fine-needle aspiration biopsies in each Si-Gun-Gu at baseline was 73.16 per 100,000 individuals. There were generally more individuals in the lower age group than in the older age groups. “NHI employed” was the most common type of insurance coverage. Figure  1 shows trends of the incidence and mortality of thyroid cancer during the study period. The incidence gradually increased, but the mortality rate remained relatively stable. Figure  2 shows the positive correlation between number of thyroid fine-needle aspiration biopsies and new diagnoses of thyroid cancer during the study period (Spearman correlation coefficient: 0.48, P < 0.001).
Table  1 shows the associations between new cases of thyroid cancer and each independent variable in this study. We observed a 0.6% incidence rate ( n = 6619 diagnosed patients) among 11,024,548 person-years, and the average number of thyroid fine needle biopsies in Si-Gun-Gu was greater in patients diagnosed with thyroid cancer than in patients who were not diagnosed (Diagnosed mean: 348.2, SD: 225.0; Non-diagnosed mean: 253.3, SD: 207.9; P < 0.0001). In addition, socioeconomic status had a positive linear association with thyroid cancer diagnosis. By region, patients from Jeollanam-do were more frequently with thyroid cancer than patients from other regions. On the other hand, in regards to patients with thyroid biopsy, the average number of thyroid fine-needle biopsies performed in Si-Gun-Gu was lower in patients diagnosed with thyroid cancer compared to others.
Table 1
Distribution of person-years by diagnosis of thyroid cancer
Variables
Total patients
Patients with thyroid fine-needle aspiration biopsy
 
Diagnosed
None
P-value
Diagnosed
None
P-value
 
N/Mean
%/SD
N/Mean
%/SD
 
N/Mean
%/SD
N/Mean
%/SD
 
Regional variables
 Number of thyroid fine-needle aspiration biopsies in Si-Gun-Gu (per 100,000 people)
348.2
225.0
253.3
207.9
<0.0001 a
348.2
225.0
425.9
236.8
<.0001 a
 Financial independence rate of local government (%)
62.2
23.3
62.4
23.6
0.5344 a
62.2
23.3
59.4
22.9
<.0001 a
Individual variables
 Sex
  Male
1140
0.02
5,514,264
99.98
<0.0001 b
1140
22.04
4033
77.96
0.1968 b
  Female
5479
0.10
5,503,665
99.90
 
5479
21.23
20,327
78.77
 Age (years)
  0–19
30
0.00
2,622,533
100.00
<0.0001 b
30
21.58
109
78.42
<0.0001 b
  20–29
339
0.02
1,580,567
99.98
 
339
26.26
952
73.74
  30–39
1210
0.07
1,866,884
99.94
 
1210
26.86
3295
73.14
  40–49
1972
0.10
1,909,614
99.90
 
1972
23.69
6352
76.31
  50–59
1819
0.13
1,392,449
99.87
 
1819
19.48
7519
80.52
  60–69
876
0.10
894,668
99.90
 
876
16.65
4386
83.35
  70–79
320
0.06
543,227
99.94
 
320
16.82
1582
83.18
  80+
53
0.03
207,987
99.98
 
53
24.31
165
75.69
 Type of insurance coverage
  Medical Aid
144
0.04
383,596
99.96
<0.0001 b
144
34.37
275
65.63
<0.0001 b
  NHI (self-employed)
2142
0.05
4,060,517
99.95
 
2142
21.69
7734
78.31
  NHI (employed)
4333
0.07
6,573,816
99.93
 
4333
20.95
16,351
79.05
 Income (percentiles)
  0–29%
873
0.05
1,784,071
99.95
<0.0001 b
873
20.45
3395
79.55
0.2938 b
  30–59%
1310
0.05
2,612,723
99.95
 
1310
21.49
4785
78.51
  60%+
4436
0.07
6,621,135
99.93
 
4436
21.52
16,180
78.48
 Year
  2003
317
0.03
1,016,565
99.97
<0.0001 b
317
40.80
460
59.20
<0.0001 b
  2004
287
0.03
1,015,716
99.97
 
287
26.70
788
73.30
  2005
319
0.03
1,015,929
99.97
 
319
23.74
1025
76.26
  2006
374
0.04
1,001,078
99.96
 
374
23.29
1232
76.71
  2007
497
0.05
1,019,688
99.95
 
497
22.42
1720
77.58
  2008
588
0.06
999,651
99.94
 
588
22.13
2069
77.87
  2009
771
0.08
997,219
99.92
 
771
24.12
2425
75.88
  2010
751
0.08
1,000,753
99.93
 
751
19.37
3126
80.63
  2011
884
0.09
983,859
99.91
 
884
20.49
3430
79.51
  2012
941
0.10
983,065
99.90
 
941
19.37
3918
80.63
  2013
890
0.09
984,406
99.91
 
890
17.60
4167
82.40
 Region (distance from Seoul)
  Gangwon-do (100.6 km)
115
0.04
321,209
99.96
<0.0001 b
115
20.25
453
79.75
<0.0001 b
  Gyeonggi-do (40.0 km)
1445
0.06
2,528,926
99.94
 
1445
21.80
5182
78.20
  Gyeongsangnam-do (366.4 km)
335
0.05
653,458
99.95
 
335
20.68
1285
79.32
  Gyeongsangbuk-do (225.5 km)
303
0.05
595,692
99.95
 
303
22.35
1053
77.65
  Gwangju (295.3 km)
272
0.08
324,124
99.92
 
272
14.48
1607
85.52
  Daegu (288.3 km)
432
0.08
561,837
99.92
 
432
17.63
2019
82.37
  Daejeon (160.9 km)
267
0.08
334,572
99.92
 
267
28.13
682
71.87
  Busan (394.2 km)
440
0.05
807,140
99.95
 
440
19.32
1837
80.68
  Seoul
1504
0.07
2,282,278
99.93
 
1504
24.78
4566
75.22
  Ulsan (395.7 km)
184
0.07
259,663
99.93
 
184
24.02
582
75.98
  Incheon (37.7 km)
265
0.04
606,840
99.96
 
265
23.47
864
76.53
  Jeollanam-do (346.3 km)
382
0.09
429,219
99.91
 
382
17.54
1796
82.46
  Jeollabuk-do (216.9 km)
244
0.06
413,454
99.94
 
244
18.26
1092
81.74
  Jeju-do (541.6 km)
69
0.06
123,336
99.94
 
69
23.31
227
76.69
  Chungcheongnam-do (129.9 km)
226
0.05
437,945
99.95
 
226
24.73
688
75.27
  Chungcheongbuk-do (137.1 km)
136
0.04
338,236
99.96
 
136
24.16
427
75.84
 Total
6619
0.06
11,017,929
99.98
 
6619
21.37
24,360
78.63
 
aThe results of analysis of variance (ANOVA) for each continuous variable to compare mean and standard deviation by diagnosis during study period
bThe results of χ2 tests to analyze frequencies of person-years for each categorical variable by diagnosis of thyroid cancer
Table  2 shows the results of GEE Poisson regression analyses for the entire population and for patients with thyroid needle biopsy, respectively. In the whole population, the number of biopsies per 100,000 individuals was positively associated with diagnosis of thyroid cancer (per 100 cases: RR = 1.108, 95% CI: 1.090-1.126; P < 0.0001). The financial independence rate of the local government was also positively associated with increased diagnosis of thyroid cancer but it was not statistically significant. Diagnosed cases of thyroid cancer in females were 5-fold greater than males, and patients 40–59 years of age were more often diagnosed than patients of other age groups. Patients of higher socioeconomic status showed a greater incidence of thyroid cancer diagnosis. In addition, the risk in the diagnosis of thyroid cancer was gradually increased by the year. In patients who received thyroid biopsy, in contrast to results from the entire population, the regional number of thyroid fine-needle aspiration biopsy was inversely associated with the diagnosis of thyroid cancer (per 100 cases: RR = 0.973, 95% CI: 0.952-0.995; P = 0.0143). In particular, patients under 40 years of age were more often diagnosed than patients in other age groups.
Table 2
Poisson regression analysis results for diagnosis for thyroid cancer
Variables
Total patients
Patients with thyroid fine-needle aspiration biopsy
RR a
95% CI
P-value
RR a
95% CI
P-value
Regional variables
 Number of thyroid fine-needle aspiration biopsy in Si-Gun-Gu (per 100,000 people; per 100 increase)
1.108
1.090
1.126
<0.0001
0.973
0.952
0.995
0.0143
 Financial independence rate of local government (per 10%)
1.037
0.955
1.125
0.3849
1.003
0.992
1.015
0.5599
Individual variables
 Sex
  Male
0.206
0.194
0.220
<0.0001
1.075
0.990
1.168
0.0852
  Female
1.000
-
-
-
1.000
-
-
-
 Age (years)
  0–19
0.059
0.038
0.093
<0.0001
1.359
0.703
2.627
0.3613
  20–29
1.155
0.864
1.543
0.3313
1.700
1.065
2.713
0.0263
  30–39
3.334
2.532
4.391
<0.0001
1.796
1.142
2.824
0.0113
  40–49
5.389
4.100
7.082
<0.0001
1.519
0.968
2.385
0.0689
  50–59
6.430
4.892
8.450
<0.0001
1.219
0.776
1.913
0.3897
  60–69
4.721
3.578
6.230
<0.0001
0.921
0.584
1.453
0.7245
  70–79
2.542
1.901
3.398
<0.0001
0.858
0.535
1.376
0.5248
  80+
1.000
-
-
-
1.000
-
-
-
 Type of insurance coverage
  Medical Aid
0.768
0.642
0.919
0.0040
1.466
1.101
1.952
0.0087
  NHI (self-employed)
0.785
0.745
0.827
<0.0001
1.014
0.947
1.085
0.6984
  NHI (employed)
1.000
-
-
-
1.000
-
-
-
 Income (percentiles)
  0–29%
0.640
0.591
0.692
<0.0001
0.879
0.794
0.974
0.0135
  30–59%
0.725
0.682
0.771
<0.0001
0.965
0.892
1.045
0.3839
  60%+
1.000
-
-
-
1.000
-
-
-
 Year
  2003
1.000
-
-
-
1.000
-
-
-
  2004
0.853
0.727
1.001
0.0517
0.784
0.597
1.029
0.0795
  2005
0.907
0.776
1.060
0.2187
0.770
0.593
1.000
0.0500
  2006
1.029
0.885
1.197
0.7092
0.878
0.686
1.125
0.3051
  2007
1.258
1.086
1.456
0.0022
0.924
0.727
1.174
0.5179
  2008
1.438
1.243
1.664
<0.0001
0.927
0.730
1.178
0.5372
  2009
1.765
1.530
2.035
<0.0001
1.023
0.807
1.297
0.8505
  2010
1.583
1.361
1.842
<0.0001
0.870
0.680
1.112
0.2646
  2011
1.757
1.509
2.045
<0.0001
1.026
0.804
1.309
0.8379
  2012
1.725
1.477
2.015
<0.0001
1.041
0.813
1.332
0.7510
  2013
1.579
1.345
1.854
<0.0001
1.067
0.830
1.371
0.6152
 Region (distance from Seoul)
  Gangwon-do (100.6 km)
1.001
0.662
1.515
0.9960
0.999
0.557
1.789
0.9959
  Gyeonggi-do (40.0 km)
1.192
1.042
1.364
0.0107
0.955
0.792
1.151
0.6277
  Gyeongsangnam-do (366.4 km)
1.234
0.925
1.647
0.1526
1.130
0.760
1.680
0.5457
  Gyeongsangbuk-do (225.5 km)
1.293
0.882
1.897
0.1879
1.322
0.777
2.249
0.3028
  Gwangju (295.3 km)
1.435
1.124
1.832
0.0037
0.882
0.634
1.226
0.4537
  Daegu (288.3 km)
1.325
1.099
1.598
0.0032
1.106
0.850
1.437
0.4539
  Daejeon (160.9 km)
1.735
1.451
2.075
<0.0001
1.445
1.130
1.848
0.0033
  Busan (394.2 km)
1.048
0.883
1.244
0.5927
1.238
0.974
1.574
0.0810
  Seoul
1.238
1.003
1.528
0.0468
1.038
0.776
1.388
0.7999
  Ulsan (395.7 km)
1.354
1.121
1.636
0.0017
1.370
1.074
1.746
0.0111
  Incheon (37.7 km)
1.000
-
-
-
       
  Jeollanam-do (346.3 km)
1.774
1.150
2.737
0.0095
1.387
0.751
2.562
0.2954
  Jeollabuk-do (216.9 km)
1.398
0.924
2.113
0.1125
1.263
0.710
2.245
0.4275
  Jeju-do (541.6 km)
1.535
0.996
2.366
0.0522
1.436
0.794
2.598
0.2315
  Chungcheongnam-do (129.9 km)
1.383
0.982
1.946
0.0633
1.239
0.772
1.990
0.3746
  Chungcheongbuk-do (137.1 km)
1.130
0.780
1.636
0.5188
0.960
0.564
1.634
0.8805
 QIC
99756.63
24319.41
aRelative risk for diagnosis of thyroid cancer, based on the results of Poisson regression analysis with GEE adjusted for individual- and regional-level characteristic to identify the relationship between regional thyroid fine-needle biopsy rates and diagnosis of thyroid cancer
We also performed subgroup analyses to investigate positive associations in the number of biopsies with thyroid cancer diagnoses according to sex, income, median number of thyroid fine-needle biopsy, and financial independence rate of local government (Fig.  3). In the whole population, positive association was greater in males than females, in patients with incomes above the median financial independence rate, and in subjects from regions with lower biopsy frequencies than the median number. On the other hand, for patients who received thyroid biopsy, negative association was observed more in females as well as in patients with incomes below the median financial independence rate (Fig.  4).

Discussion

The rapid improvement of health status in South Korean has created an “aging society” in which dominant health problems and issues have shifted to non-communicable diseases, such as cancer. Although many healthcare professionals have prompted positive outcomes through improved medical care [ 4], some concerns regarding the over-diagnosis of certain diseases, such as thyroid cancer, have arisen and have been validated in previous studies [ 7]. For example, previous studies suggest that increased access to ultrasonography in South Korea could contribute to increased cases of thyroid cancer [ 6]. However, questions remain regarding the environmental and genetic factors that may prompt the over-diagnosis of thyroid cancer.
We focused on the relationship between thyroid biopsies and newly diagnosed cases of thyroid cancer using nationwide sampling data and identified a positive correlation. Our results corroborate those of previous studies regarding the role of certain diagnostic tests, such as ultrasonography, in increased thyroid cancer diagnoses [ 22]. However, thyroid ultrasonography is not included under NHI coverage. Although increased diagnoses could be a natural result of more frequent screening procedures [ 23, 24], the increased diagnosis of small papillary thyroid cancer and other non-fatal thyroid cancers should still be investigated in South Korea because of a concomitant increase in preventive medical procedures and changes in thyroid cancer biopsy criteria [ 25]. However, regarding the more thyroid fine-needle aspiration biopsy were inversely associated with diagnosis of thyroid cancer among patients who received these biopsy, there might be excessive medical screening such as biopsy compared to actual diagnosis. Thus, there are needed to optimal control for guideline related to implementation of biopsy even if there were some controversies related to that.
The results of our sub-group analyses support our hypothesis, as the positive association between biopsy frequency and new cases of thyroid cancer was greater in patients with higher socioeconomic status, suggesting that greater accessibility to certain screening tests directly influences the frequency of cancer diagnosis [ 15]. Also, in the results for sub-group analysis by sex, regarding the incidence of thyroid cancer in females was higher than males based on previous studies, the increasing thyroid biopsy might cause to unnecessary increasing the diagnosis of thyroid cancer based on the greater positive correlations with diagnosis of thyroid cancer in males [ 18]. Meanwhile, subgroup analysis results for patients with biopsy showed that female patients and patients from low economic status areas had less diagnosis of thyroid cancer, in contrast to increase in regional biopsy. The results also suggested that unnecessary biopsy may be provided for patients at high risk of thyroid cancer or those with less health information.
Our study’s strengths include the use of national sampling cohort data to identify the relationship between the number of thyroid fine-needle aspiration biopsies and increased diagnoses of thyroid cancer. Therefore, our results are especially helpful for establishing evidence-based policies for managing thyroid cancer. Second, to our knowledge, this study is the first published attempt to investigate the impact of thyroid fine-needle aspiration biopsy frequency in individual geographic regions with respect to new cases of thyroid cancer. Previous studies focused on increased thyroid cancer incidence and changes in cancer type according to year or due to increased ultrasonography availability [ 6]. Thus, our findings could suggest another factor that contributes to more new thyroid cancer cases in South Korea. Third, our study analyzed the relationship between thyroid biopsies and thyroid cancer diagnoses adjusting for other covariates, such as socioeconomic status. Although other studies have linked increased thyroid cancer with differences in socioeconomic-related healthcare accessibility [ 15], we further analyzed the effects of income level, type of insurance coverage, and financial independence rate of the local government in this study.
Our study also has limitations. First, previous studies considered the types and size of thyroid cancer and accessibility to ultrasonography as important factors in over-diagnosis. However, we were unable to include these variables because these data were not available in the NHI database. Second, to identify overdiagnosis of cancer, information such as types and stages of thyroid cancer would be important. However, due to limited data, we could not identify such factors. Third, patients’ participation in the health checkup program could contribute to over-diagnosis of thyroid cancer, but we could not identify which patients were diagnosed with thyroid cancer through this program due to data limitations, even though incidence rates increased by year. Finally, income level data were only collected as units of 10th percentiles. Because income level appears to be a significant factor in thyroid cancer over-diagnosis, more specific income information for each patient could strengthen are study.
Despite these limitations, our findings suggest that increased numbers of thyroid fine- needle aspiration biopsies per 100,000 patients by geographic region could contribute to increased diagnoses of thyroid cancer in South Korea. Specifically, such relationships were more significant in males, patients with higher socioeconomic status, and in patients from regions with relatively less accessibility to biopsies. In addition, we also found that some excessive biopsies might be provided for people without increasing diagnosis among patients who received biopsies. The increased incidence of new thyroid cancer cases by year necessitates guidelines for optimal control and diagnosis of thyroid cancer and should prompt healthcare professionals and policy makers to consider the factors that contribute to excessive diagnosis of asymptomatic and nonfatal thyroid cancer.

Conclusion

Our findings suggest that a higher number of thyroid fine-needle aspiration biopsies in each Si-Gun-Gu is positively associated with increased diagnoses of thyroid cancer in South Korean patients. We recommend that healthcare professionals and policy makers implement alternate preventive strategies to thyroid fine-needle aspiration biopsies during health checkup program visits.

Acknowledgements

Not applicable.

Funding

This study was supported by a grant from the National R&D Program for Cancer Control, Ministry of Health and Welfare, Republic of Korea (No. 1420230). The funding source had no role in any of the following: the design and conduct of the study; the collection, preparation, management, analysis, and interpretation of data; and the review and approval of the manuscript.

Availability of data and materials

The datasets analyzed during the current study are available in the NHIS. For obtaining the NHIS National Sampling Cohort, go to the following web site, and submit the application form ( https://​nhiss.​nhis.​or.​kr/​bd/​ab/​bdaba021eng.​do). The committee will evaluate that, and notice the determination of deliberation within 25 days from the data of application. And then, applicants who passed deliberation can use this data after payment of fee.

Authors’ contributions

YJC, and DYK designed the study, collected data, performed statistical analyses, and wrote the manuscript. These authors contributed equally to this work as co-first author. ECP, and KTH contributed to the discussion and reviewed and edited the manuscript. KTH is the guarantor of this work and as such, had full access to all the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis. All authors have read and approved the final version of this manuscript. The text in this document has been checked by at least two professional editors who are native English speakers.

Competing interests

The authors declare that they have no competing interests.

Consent for publication

Not applicable.

Ethics approval and consent to participate

The data used in our study comprised details about patients’ utilization of thyroid fine-needle aspiration biopsy and diagnosis of thyroid cancer in South Korea. This study was approved by the Institutional Review Board, Yonsei University Graduate School of Public Health (approval no. 2-1040939-AB-N-01-2014-239). The informed consents of each patient was waived, because patient information was routinely collected based on claims data and anonymized prior to analysis.
Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://​creativecommons.​org/​licenses/​by/​4.​0/​), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://​creativecommons.​org/​publicdomain/​zero/​1.​0/​) applies to the data made available in this article, unless otherwise stated.
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