Literature DB >> 22936855

Completeness of TNM staging of small-cell and non-small-cell lung cancer in the Danish cancer registry, 2004-2009.

Thomas Deleuran1, Mette Søgaard, Trine Frøslev, Torben Riis Rasmussen, Henrik Kirstein Jensen, Søren Friis, Morten Olsen.   

Abstract

OBJECTIVE: We examined the completeness of TNM staging of small-cell (SCLC) and nonsmall- cell (NSCLC) lung cancer in the national Danish Cancer Registry (DCR) and whether staging varied by year of diagnosis, gender, age, degree of comorbidity, or presence of histopathological diagnosis.
METHODS: We identified all patients with SCLCs and NSCLCs registered in the DCR during 2004-2009 and examined the completeness of their TNM registrations. Completeness was defined as the number of recorded individuals with TNM divided by the total number of patients. Completeness was calculated for TNM, T, N, and M individually, overall, and by year of diagnosis, gender, age at diagnosis, and comorbidity. Data regarding comorbidity was obtained from the Danish National Patient Register (DNPR). We performed separate analyses for patients with a histopathologically verified diagnosis of NSCLC. Finally, we designed an algorithm to categorize tumors with missing TNM components as limited, extensive, or distant disease.
RESULTS: Overall TNM staging completeness was 77.5% (95% confidence interval (CI): 76.1%-78.8%) for SCLC and 77.9% (95% CI: 77.3%-78.4%) for NSCLC. Completeness did not vary by gender and increased during the study period. The proportion of staged patients was lower among patients above 80 years of age or with medium to high levels of comorbidity.
CONCLUSION: Overall TNM completeness for SCLC and NSCLC in the Danish Cancer Registry is high, but decreases with increasing levels of comorbidity and at ages greater than 80 years. Researchers should be aware of these potential sources of bias.

Entities:  

Keywords:  cancer registers; cancer staging; completeness; lung cancer

Year:  2012        PMID: 22936855      PMCID: PMC3429148          DOI: 10.2147/CLEP.S33315

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


Introduction

Lung cancer is one of the most common malignancies and is the leading cause of cancer-related death in Denmark, as well as worldwide.1–3 In Denmark, incidence rates of lung cancer in 2009 were 83 (men) and 64 (women) per 100,000 person-years. Lung cancer is classified into two subtypes, including small cell (SCLC, 15%–18% of incident cases) and non-small cell lung cancer (NSCLC, 82%–85% of incident cases) based on histopathology and differences in prognosis and treatment. Stages of SCLC (limited and extensive) and NSCLC (I–IV) are assigned according to TNM classification, which addresses tumor size and growth into neighboring organs (T), lymph node involvement (N), and distant metastases (M). Prognosis and treatment choices vary according to cancer stage, but prognosis is also affected by age and level of comorbidity.4–8 The five-year survival rate for SCLC patients is approximately 20% for limited disease and 0% for extensive disease.9 Corresponding rates for NSCLC patients are 50% and approximately 5% for stage IA and IV, respectively.10,11 Only two studies have been conducted regarding the registration of TNM staging for lung cancer in population-based registries.12,13 The proportion of patients with incomplete lung cancer stage in these registries increased with older age, as well as those that lived alone and were of black ethnicity. The Danish Cancer Registry (DCR)14,15 is a nationwide registry that has recorded cancer incidence in the Danish population since 1943. Cancer diagnoses have been recorded according to the International Classification of Disease, 10th revision (ICD-10), since 2004. Stage at diagnosis has been recorded according to the 6th edition of TNM classification16 since 2004 and the 7th edition since 2009. Completeness of TNM staging in the DCR is unknown. We therefore studied TNM completeness of SCLC and NSCLC, as well as conducted stratified analyses by year of diagnosis, gender, age, and level of comorbidity. Additionally, we suggest a method for defining stage categories in the presence of specific missing T, N, or M components.

Material and methods

We performed this study in Denmark, which has a population of approximately 5.4 million. All residents are provided with tax-supported medical care which is free of charge. Since 1968, the Danish Civil Registration System has assigned a unique 10-digit personal identification number to all Danish residents.17 This number is used in all Danish registers and allows unambiguous individual-level data linkage.

Identification and categorization of lung cancer patients

We identified all patients with a first-time lung cancer diagnosis (ICD-10 code C33-C34) recorded between January 1, 2004 and December 31, 2009 in the DCR. Patients were categorized according to histopathological (morphological) diagnosis in the DCR, which is derived from the Danish Pathology Register and recorded according to the International Classification of Diseases for Oncology, 3rd version (ICD-0-3) and combined with a topographic diagnosis code.14,18 We defined SCLC as cases with morphology codes 80413–80459, while NSCLC was defined as any other morphology code including those with no available histopathological diagnosis. We designed an algorithm allowing assignment of stage categories, despite specific missing T, N, or M values. We categorized SCLC tumors as limited (if tumor was M0), extensive disease (if tumor was M1), or unknown (if tumor was Mx), regardless of the values, known or unknown, of other components (T and N) (Appendix 1). We categorized NSCLC tumors into limited, extensive, distant disease, and unknown (Appendix 1). If TNM stage included component values of T4, N3, or M1, tumor stage was categorized as IIIb or IV, and these tumors were categorized as distant. This was done regardless of the stage, known or unknown, of other components. All other cancers with missing components were categorized as unknown.

Comorbidity

We obtained data regarding comorbidity from the Danish National Patient Register (DNPR).19 This register contains data regarding all admissions to non-psychiatric hospitals in Denmark since 1978 and outpatient settings since 1995. The data includes dates of admission/contact, discharge, and diagnosis codes according to the ICD-10. The presence of comorbidity was defined according to the Charlson Comorbidity Index20,21 (CCI), and categorized as low (CCI = 0), medium (CCI = 1–2), or high (CCI > 2) level of comorbidity. The CCI was based on all hospital diagnoses recorded in the DNPR within 10 years preceding the date of cancer diagnosis.

Statistical analysis

We computed completeness and corresponding 95% confidence intervals (CI) for the TNM registration overall and for each component (ie, T, N, and M). Completeness was defined as the number of individuals with TNM recordings divided by the total number of patients. We stratified completeness according to year of cancer diagnosis, gender, age at diagnosis (0–39 years, 40–59 years, 60–79 years, or ≥80 years), and level of comorbidity. We computed completeness separately for SCLC and NSCLC and, for NSCLC, for histologically verified disease. SCLC diagnosis had been verified histologically. We repeated the analyses using the algorithm for stage assignment in the presence of specific missing T, N, or M values. Analyses were performed using SAS (v 9.2; SAS Institute, Inc, Cary, NC, USA).

Results

We identified 24,734 patients (50% males) that had lung cancer in Denmark between 2004 and 2009. Of these, 3,658 (15%) had SCLC (Table 1) and 21,076 (85%) had NSCLC (Table 2). Among those with NSCLC, 17,972 (85%) cases had been histologically verified. Median age at diagnosis was 69 years for all patients combined. The proportion of patients with preexisting hospital recorded comorbidity was similar between the two patient categories (47% among patients with SCLC, 50% among patients with NSCLC).
Table 1

Completeness of TNM registration for 3658 patients with small cell lung cancer according to year of diagnosis, gender, age, and level of comorbidity

TNM completenessT completenessN completenessM completenessTotal





% (N)95% CI% (N)95% CI% (N)95% CI% (N)95% CIN
Year of diagnosis
 200475.9 (421)72.2–79.387.7 (487)84.8–90.380.9 (449)77.5–84.092.6 (514)90.2–94.6555
 200576.0 (469)72.5–79.385.7 (529)82.8–88.381.5 (503)78.3–84.492.2 (569)89.9–94.1617
 200675.5 (468)72.0–78.885.5 (530)82.6–88.181.6 (506)78.4–84.591.9 (570)89.6–93.9620
 200775.3 (484)71.8–78.584.6 (544)81.7–87.280.7 (519)77.5–83.692.4 (594)90.1–94.2643
 200878.7 (474)75.3–81.990.4 (544)87.8–92.585.4 (514)82.4–88.093.5 (563)91.3–95.3602
 200983.4 (518)80.3–86.291.0 (565)88.5–93.189.0 (553)86.4–91.395.8 (595)94.0–97.2621
Gender
 Female76.9 (1359)74.9–78.887.5 (1546)85.9–89.083.1 (1468)81.3–84.892.5 (1635)91.2–93.71767
 Male78.0 (1475)76.1–79.887.4 (1653)86.0–88.983.3 (1576)81.6–85.093.6 (1770)92.4–94.61891
Age
 0–39 years85.7 (6)49.9–98.4100 (7)70.8–10085.7 (6)49.9–98.4100 (7)70.8–1007
 40–59 years78.7 (548)75.6–81.788.2 (614)85.7–90.583.6 (582)80.7–86.295.5 (665)93.8–96.9696
 60–79 years78.5 (2043)76.9–80.188.0 (2290)86.7–89.284.2 (2192)82.8–85.693.7 (2437)92.7–94.62602
 ≥80 years67.1 (237)62.1–71.981.6 (288)77.3–85.474.8 (264)70.1–79.183.9 (296)79.8–87.4353
Level of comorbidity
 080.5 (1576)78.7–82.289.7 (1755)88.3–91.085.6 (1675)84.0–87.194.7 (1854)93.7–95.71957
 1–275.6 (961)73.2–77.986.5 (1099)84.5–88.381.7 (1038)79.5–83.792.0 (1169)90.4–93.41271
 ≥369.1 (297)64.6–73.380.2 (345)76.3–83.877.0 (331)72.8–80.888.8 (382)85.6–91.6430
Total77.5 (2834)76.1–78.887.5 (3199)86.4–88.583.2 (3044)82.0–84.493.1 (3405)92.2–93.93658
Table 2

Completeness of TNM registration for 21,076 patients with non-small cell lung cancer according to year of diagnosis, gender, age, and level of comorbidity

TNM completenessT completenessN completenessM completenessTotal





% (N)95% CI% (N)95% CI% (N)95% CI% (N)95% CIN
Year of diagnosis
 200477.2 (2594)75.8–78.687.2 (2927)86.0–88.380.6 (2707)79.3–81.988.0 (2956)86.9–89.13358
 200575.6 (2543)74.1–77.086.6 (2913)85.4–87.779.7 (2681)78.3–81.088.9 (2993)87.9–90.03365
 200674.0 (2549)72.5–75.484.8 (2922)83.6–86.078.1 (2692)76.7–79.587.1 (3003)86.0–88.23446
 200776.7 (2797)75.3–78.089.0 (3246)87.9–89.981.5 (2974)80.2–82.790.2 (3290)89.2–91.13649
 200881.0 (2903)79.7–82.291.1 (3265)90.1–92.085.9 (3078)84.7–87.092.2 (3304)91.3–93.03585
 200982.4 (3027)81.2–83.691.9 (3376)91.0–92.886.8 (3190)85.7–87.992.1 (3383)91.2–92.93673
Gender
 Female77.6 (7605)76.8–78.488.4 (8661)87.7–89.082.0 (8035)81.2–82.789.5 (8775)88.9–90.19800
 Male78.1 (8808)77.3–78.988.6 (9988)88.0–89.282.4 (9287)81.7–83.190.0 (10154)89.5–90.611276
Age
 0–39 years83.7 (82)75.4–90.089.8 (88)82.7–94.687.8 (86)80.2–93.195.9 (94)90.6–98.698
 40–59 years82.9 (3224)81.7–84.191.4 (3553)90.5–92.387.1 (3384)86.0–88.194.8 (3683)94.0–95.43887
 60–79 years80.8 (11085)80.2–81.590.5 (12413)90.0–91.084.8 (11630)84.2–85.491.9 (12607)91.5–92.413715
 ≥80 years59.9 (2022)58.2–61.576.9 (2595)75.4–78.365.8 (2222)64.2–67.475.4 (2545)73.9–76.83376
Level of comorbidity
 0 81.1 (8535)80.4–81.990.5 (9524)90.0–91.185.1 (8953)84.4–85.892.6 (9744)92.1–93.110521
 1–276.4 (5868)75.5–77.487.6 (6729)86.9–88.480.8 (6203)79.9–81.788.2 (6775)87.5–89.07678
 ≥369.9 (2010)68.2–71.583.3 (2396)81.9–84.675.3 (2166)73.7–76.883.8 (2410)82.4–85.12877
Total77.9 (16413)77.3–78.488.5 (18649)88.1–88.982.2 (17322)81.7–82.789.8 (18929)89.4–90.221076
Overall completeness of the TNM staging was 77.5% (95% confidence interval (CI): [76.1%–78.8%]) for SCLC and 77.9% (95% CI: [77.3%–78.4%]) for NSCLC. Overall completeness for NSCLC with histological verification was 83.3% (95% CI: [82.8%–83.9%]) (data not shown). During the study period, completeness increased from 75.9% (95% CI: [72.2%–79.3%]) to 83.4% (95% CI: [80.3%–86.2%]) for patients with SCLC and from 77.2% (95% CI: [75.8%–78.6%]) to 82.4% (95% CI: [81.2%–83.6%]) for patients with NSCLC (Tables 1 and 2). Completeness did not vary by gender. However, among patients with SCLC, completeness declined from 78.5% (95% CI: [76.9%–80.1%]) among those aged 60–79 years to 67.1% (95% CI: [62.1%–71.9%]) among those aged 80 years or more. For patients with NSCLC, completeness declined from 80.8% (95% CI: [80.2%–81.5%]) among those aged 60–79 years to 59.9% (95% CI: [58.2%–61.5%]) among those aged 80 years or more. Completeness did not vary significantly between age groups 0–39, 40–59 or 60–79 years for SCLC or NSCLC. Completeness also decreased with comorbidity level. The proportions of complete TNM staging were 81%, 76%, and 69% for low, medium, and high levels of comorbidity among patients with SCLC. The corresponding proportions were 81%, 76%, and 70% for patients with NSCLC. Finally, we evaluated stage completeness for SCLC and NSCLC, allowing for the inclusion of missing TNM components as described above. When using this algorithm, overall stage completeness was 93.1% for SCLC and 91.1% for NSCLC. However, variations in completeness according to gender, age, year of diagnosis, and comorbidity showed a pattern similar to that of the original data (Tables 3 and 4).
Table 3

Patients with limited, extensive, or unknown stage of small cell lung cancer according to year of diagnosis, gender, age, and level of comorbidity

Limited diseaseExtensive diseaseUnknown



N%N%N%
Year of diagnosis
 200415327.636165.0417.4
 200517628.539363.7487.8
 200614924.042167.9508.1
 200716826.142666.3497.6
 200816026.640366.9396.5
 200915224.544371.3264.2
Gender
 Female46726.4116866.11327.5
 Male49126.0127967.61216.4
Age
 0–39 years228.6571.400
 40–59 years19127.447468.1314.5
 60–79 years69626.7174166.91656.3
 ≥80 years6919.522764.35716.1
Level of comorbidity
 056628.9128865.81035.3
 1–229723.487268.61028.0
 ≥39522.128766.74811.2
Total95826.2244766.92536.9
Table 4

Patients with limited, extensive, disseminated, or unknown stage of non-small cell lung cancer, according to year of diagnosis, gender, age, and level of comorbidity

Limited diseaseExtensive diseaseDisseminated diseaseUnknown




N%N%N%N%
Year of diagnosis
 200451915.52948.8217164.737411.1
 200552115.533710.0215764.135010.4
 200644713.03099.0230366.838711.2
 200756015.33168.7246767.63068.4
 200852114.53319.2251070.02236.2
 200955115.039310.7248867.72416.6
Gender
 Female152615.68668.8652466.68849.0
 Male159314.111149.9757267.29978.8
Age
 0–39 years1818.477.16869.455.1
 40–59 years54213.93739.6281672.41564.0
 60–79 years217715.913449.8925267.59426.9
 ≥80 years38211.32567.6196058.177823.0
Level of comorbidity
 0139613.310059.6746571.06556.2
 1–2124216.27099.2491964.180810.5
 ≥348116.72669.2171259.541814.5
Total311914.819809.41409666.918818.9

Discussion

We found that the completeness of TNM staging for SCLC and NSCLC in the DCR was lower for elderly patients and/or those with severe comorbidity. Completeness increased during the study period (2004–2009) and did not vary by lung cancer subtype or gender. Among patients with NSCLC, completeness was higher for patients with a histologically verified diagnosis than for those without such diagnosis. Some SCLC as NSCLC cases without morphological information may have been misclassified. However, this potential misclassification likely had minor impact on the results, since we observed nearly the same completeness for SCLC as for NSCLC. Completeness of lung cancer staging in the National Cancer Institute’s (US) Surveillance, Epidemiology, and End Results (SEER) Program12 and completeness of the Swedish Cancer Register13 are higher than that of the DCR. Institutions participating in the SEER are financially rewarded, and SEER promotes education and conducts regular audits for cancer registration,22 which may explain this higher completeness. However, neither report presented overall estimates nor information regarding which components of TNM were missing or the impact of cancer type (SCLC or NSCLC), diagnosis year, or comorbidity on the likelihood of proper TNM staging. Our findings are consistent with those of previous studies examining unstaged malignant disease which showed that fragile, elderly and/or those requiring nursing care are more likely to have unstaged disease.13,23,24 This is the first study to present TNM staging according to comorbidity levels. In conclusion, overall completeness of the TNM registration of SCLC and NSCLC in the DCR is high, and the amount of incomplete data is likely to have a minor impact on studies examining prognosis or surveillance that rely on DCR data, particularly when evaluating potential sources of bias such as age and level of comorbidity. We further showed that overall stage completeness can be increased by including patients for which the TNM components provide unambiguous prognostic information, despite missing or misclassified information of individual staging components. Completeness of both SCLC and NSCLC registration decreased with increasing age and comorbidity level, but was not affected by gender or lung cancer subtype. Future studies examining treatment, prognosis, or screening policies that rely on TNM data from the DCR should be conducted to address these potential sources of bias.
  21 in total

Review 1.  NCI SEER public-use data: applications and limitations in oncology research.

Authors:  James B Yu; Cary P Gross; Lynn D Wilson; Benjamin D Smith
Journal:  Oncology (Williston Park)       Date:  2009-03       Impact factor: 2.990

2.  The prognostic value of the simplified comorbidity score in the treatment of small cell lung carcinoma.

Authors:  Yao-Wen Kuo; Jih-Shuin Jerng; Jin-Yuan Shih; Kuan-Yu Chen; Chong-Jen Yu; Pan-Chyr Yang
Journal:  J Thorac Oncol       Date:  2011-02       Impact factor: 15.609

3.  Estimates of worldwide burden of cancer in 2008: GLOBOCAN 2008.

Authors:  Jacques Ferlay; Hai-Rim Shin; Freddie Bray; David Forman; Colin Mathers; Donald Maxwell Parkin
Journal:  Int J Cancer       Date:  2010-12-15       Impact factor: 7.396

4.  The Danish Cancer Registry--history, content, quality and use.

Authors:  H H Storm; E V Michelsen; I H Clemmensen; J Pihl
Journal:  Dan Med Bull       Date:  1997-11

5.  The Danish Civil Registration System.

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

6.  The Danish Cancer Registry.

Authors:  Marianne Lundkjær Gjerstorff
Journal:  Scand J Public Health       Date:  2011-07       Impact factor: 3.021

7.  A Japanese Lung Cancer Registry study: prognosis of 13,010 resected lung cancers.

Authors:  Hisao Asamura; Tomoyuki Goya; Yoshihiko Koshiishi; Yasunori Sohara; Kenji Eguchi; Masaki Mori; Yohichi Nakanishi; Ryosuke Tsuchiya; Kaoru Shimokata; Hiroshi Inoue; Toshihiro Nukiwa; Etsuo Miyaoka
Journal:  J Thorac Oncol       Date:  2008-01       Impact factor: 15.609

8.  The completeness of the Swedish Cancer Register: a sample survey for year 1998.

Authors:  Lotti Barlow; Kerstin Westergren; Lars Holmberg; Mats Talbäck
Journal:  Acta Oncol       Date:  2009       Impact factor: 4.089

9.  Impact of comorbidity on lung cancer survival.

Authors:  C Martin Tammemagi; Christine Neslund-Dudas; Michael Simoff; Paul Kvale
Journal:  Int J Cancer       Date:  2003-03-01       Impact factor: 7.396

10.  Unstaged cancer in the United States: a population-based study.

Authors:  Ray M Merrill; Arielle Sloan; Allison E Anderson; Karem Ryker
Journal:  BMC Cancer       Date:  2011-09-21       Impact factor: 4.430

View more
  10 in total

1.  Tumour stage and implementation of standardised cancer patient pathways: a comparative cohort study.

Authors:  Henry Jensen; Marie Louise Tørring; Morten Fenger-Grøn; Frede Olesen; Jens Overgaard; Peter Vedsted
Journal:  Br J Gen Pract       Date:  2016-03-29       Impact factor: 5.386

2.  The role of general practice in routes to diagnosis of lung cancer in Denmark: a population-based study of general practice involvement, diagnostic activity and diagnostic intervals.

Authors:  Louise Mahncke Guldbrandt; Morten Fenger-Grøn; Torben Riis Rasmussen; Henry Jensen; Peter Vedsted
Journal:  BMC Health Serv Res       Date:  2015-01-22       Impact factor: 2.655

3.  Prognostic consequences of implementing cancer patient pathways in Denmark: a comparative cohort study of symptomatic cancer patients in primary care.

Authors:  Henry Jensen; Marie Louise Tørring; Peter Vedsted
Journal:  BMC Cancer       Date:  2017-09-06       Impact factor: 4.430

4.  General practice consultations, diagnostic investigations, and prescriptions in the year preceding a lung cancer diagnosis.

Authors:  Louise M Guldbrandt; Henrik Møller; Erik Jakobsen; Peter Vedsted
Journal:  Cancer Med       Date:  2016-11-23       Impact factor: 4.452

5.  Treatment and Survival in Advanced Non-Small Cell Lung Cancer, Urothelial, Ovarian, Gastric and Kidney Cancer: A Nationwide Comprehensive Evaluation.

Authors:  Signe Sørup; Bianka Darvalics; Azza Ahmed Khalil; Marianne Nordsmark; Mette Hæe; Frede Donskov; Mads Agerbæk; Leo Russo; Dina Oksen; Emmanuelle Boutmy; Patrice Verpillat; Deirdre Cronin-Fenton
Journal:  Clin Epidemiol       Date:  2021-09-22       Impact factor: 4.790

6.  Cancer Mortality in People Treated with Antidepressants before Cancer Diagnosis: A Population Based Cohort Study.

Authors:  Yuelian Sun; Peter Vedsted; Morten Fenger-Grøn; Chun Sen Wu; Bodil Hammer Bech; Jørn Olsen; Michael Eriksen Benros; Mogens Vestergaard
Journal:  PLoS One       Date:  2015-09-14       Impact factor: 3.240

7.  Comorbidity and survival of Danish lung cancer patients from 2000-2011: a population-based cohort study.

Authors:  Thomas Deleuran; Reimar Wernich Thomsen; Mette Nørgaard; Jacob Bonde Jacobsen; Torben Riis Rasmussen; Mette Søgaard
Journal:  Clin Epidemiol       Date:  2013-11-01       Impact factor: 4.790

8.  Existing data sources for clinical epidemiology: Danish Cancer in Primary Care cohort.

Authors:  Henry Jensen; Marie Louise Tørring; Mette Bach Larsen; Peter Vedsted
Journal:  Clin Epidemiol       Date:  2014-07-17       Impact factor: 4.790

9.  Helping everyone do better: a call for validation studies of routinely recorded health data.

Authors:  Vera Ehrenstein; Irene Petersen; Liam Smeeth; Susan S Jick; Eric I Benchimol; Jonas F Ludvigsson; Henrik Toft Sørensen
Journal:  Clin Epidemiol       Date:  2016-04-12       Impact factor: 4.790

10.  Completeness of T, N, M and stage grouping for all cancers in the Mallorca Cancer Registry.

Authors:  M Ramos; P Franch; M Zaforteza; J Artero; M Durán
Journal:  BMC Cancer       Date:  2015-11-04       Impact factor: 4.430

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.