Literature DB >> 21814472

Survival of patients with ovarian cancer in central and northern Denmark, 1998-2009.

Anne Fia Grann1, Mette Nørgaard, Jan Blaakær, Erik Søgaard-Andersen, Jacob Bonde Jacobsen.   

Abstract

OBJECTIVE: To examine time trends of survival and mortality of ovarian cancer in the central and northern Denmark regions during the period 1998-2009. STUDY DESIGN AND
SETTING: We conducted a cohort study including women recorded with a first-time diagnosis of ovarian cancer in the Danish National Registry of Patients (DNRP) between 1998 and 2009. Patients were followed for survival through the Danish Civil Registration System. We determined survival stratified by age, and used Cox proportional hazard regression analyses to obtain mortality rate ratios (MRRs) to assess changes over time.
RESULTS: We found no improvement in overall ovarian cancer survival between 1998 and 2009. One-year survival was 71% in 1998-2000 and 68% in 2007-2009. Three-year survival declined from 48% in 1998-2000 to 46% in 2007-2009 (predicted), and 5-year survival declined from 40% in 1998-2000 to 37% in 2007-2009 (predicted). Compared with the period 1998-2000, the age-adjusted 1-year MRR was 1.05 (95% confidence interval CI: 0.86-1.28) for the period 2007-2009, and the predicted age-adjusted 3- and 5-year MRRs were 0.96 (95% CI: 0.83-1.12) and 0.99 (95% CI: 0.86-1.14), respectively. Results are not adjusted for tumor stage as this information was not available. We also observed a decline in the annual number of incident ovarian cancer patients during the study period, most pronounced in the youngest age group.
CONCLUSION: The survival of ovarian cancer patients did not improve during the study period. This lack of improvement contrasts with the national cancer strategies implemented during this last decade, focusing on improving the survival of ovarian cancer patients.

Entities:  

Keywords:  MRR; mortality rate ratio; outcome research; ovarian neoplasm

Year:  2011        PMID: 21814472      PMCID: PMC3144780          DOI: 10.2147/CLEP.S20621

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


Introduction

Ovarian cancer is the eighth most commonly diagnosed cancer in Danish women, with 577 new cases diagnosed in 2009, corresponding to an incidence rate of 19 per 100,000 women per year.1 Lack of both clearly defined symptoms and knowledge of the natural history of the tumor makes screening and early diagnosis of ovarian cancer difficult, resulting in detection at more advanced stages with poor prognosis. A Nordic study following ovarian cancer patients diagnosed in 1964 to 2003 to end of 20062 found declines in ovarian cancer incidence and mortality in all Nordic countries. Throughout the period, however, survival remained lower and mortality rates higher in Denmark than in the other Nordic countries. In patients diagnosed in 1999 to 2003, 5-year relative survival was 33% in Denmark compared with 40% in the other Nordic countries. This is consistent with previous studies showing lower survival in Danish ovarian cancer patients compared with patients in other European countries.3–5 A recent study by Coleman et al6 identified 121,059 patients diagnosed with primary ovarian cancer in six different countries (Australia, Canada, Norway, Sweden, UK, and Denmark) during 1995–2007 through population-based cancer registries. Danish ovarian cancer patients had lower relative 1- and 5-year survival than patients from all other countries except the UK. So far, the reasons for this poorer survival of Danish ovarian cancer patients remain unknown. Primary radically intended surgery and postoperative chemotherapy is the main treatment for ovarian cancer.7,8 Until 1998, surgery of gynecological cancer in Denmark took place at general departments of gynecology and obstetrics (over 40 different departments).9 In 2000 and 2005, the first and second Danish Cancer Control Plans were initiated.10 The launched initiatives focused on reduction of diagnostic delay, treatment restricted to specialized centers, and establishment of multidisciplinary cancer groups. Because of the poor prognosis of ovarian cancer in Denmark, it is important to monitor survival as an indicator of quality of treatment. We therefore used population-based hospital discharge registries to examine changes in mortality and survival of ovarian cancer patients diagnosed between 1998 and 2009. We thereby extended a previous study from our regions, covering ovarian cancer survival in the period 1985–2004.11

Materials and methods

We conducted this study in the central and the northern Denmark regions, with a combined population of 1.8 million persons. The National Health Service provides tax-supported health care for all inhabitants of Denmark, guaranteeing free access to hospitals. Virtually no ovarian cancer patients were treated in private hospitals during the study period.

Identification of ovarian cancer patients

Hospital discharge registries

Through the Danish National Registry of Patients (DNRP), we identified all patients who had a first-time hospitalization with ovarian cancer in the period January 1, 1998 through December 31, 2009. The DNRP contains information about all admissions from nonpsychiatric hospitals in Denmark since 1977.12 Outpatient and emergency room visits at hospitals have been included since 1995. This registry includes information on civil registration number, dates of admission and discharge, surgical procedure(s) performed, and up to 20 diagnoses from each hospital contact. Diagnoses have been classified according to the International Classification of Diseases 8th edition (ICD-8) until the end of 1993 and 10th edition (ICD-10) thereafter. Surgical procedures have been classified according to a Danish classification system until the end of 1995 and according to a Danish version of the Nordic Classification of Surgical Procedures (NCSP) thereafter. The ICD-10 codes used to identify ovarian cancer were C56.x and the ICD-8 codes used were 183.00–183.09.

The Danish Civil Registration System

Since 1968, the Central Office of Civil Registration has assigned a unique 10-digit personal identification number to all Danish citizens.13 This number, unique to each Danish resident, is used in all Danish registries, allowing unambiguous individual-level data linkage. From the Civil Registration System we also obtained information on vital status (dead or alive), date of death, and residence for all cancer patients.

Statistical analysis

Survival

We followed each patient from date of cancer diagnosis until emigration, death, or June 25, 2010, whichever came first. To visualize crude survival we constructed Kaplan–Meier curves stratified according to period of diagnosis (1998–2000, 2001–2003, 2004–2006, and 2007–2009). We estimated 1-, 3-, and 5-year survival. In the latter periods, we estimated 3- and 5-year survival using a hybrid analysis in which survival was estimated using the survival experience of patients in the previous periods.14 We used Spearmans’ rank correlation to test for trend in the age distribution of the incident ovarian cancer cases.

Mortality

To compare mortality over time we used Cox proportional hazards regression analysis, with 1998–2000 as the reference period to estimate 1-, 3-, and 5-year mortality rate ratios (MRRs) and corresponding 95% confidence intervals (CIs), adjusting for age group. The survival was estimated within three age strata: 15–49 years, 50–69 years, and 70+. Analyses were performed using SAS version 9.2 (SAS Institute Inc, Cary, NC).

Results

We identified a total of 2541 women who were diagnosed with ovarian cancer for the first time between 1998 and 2009.

Age characteristics of ovarian cancer patients

The median age was 63 (range 15–103) years over all time periods. The age distributions for the four time periods are presented in Table 1. The prevalence of women younger than 50 years of age decreased from 20% to 10% during the study period (test for trend, P < 0.001). During the study period, the absolute number of women diagnosed with ovarian cancer fell from 664 patients in 1998–2000 to 616 in 2007–2009.
Table 1

Number of women with a first-time diagnosis of ovarian cancer in three age groups (1998–2009)

Age groupYear of diagnosis
1998–20002001–20032004–20062007–2009
15–49 years135 (20%)134 (21%)85 (14%)64 (10%)
50–69 years298 (45%)304 (47%)329 (53%)310 (50%)
70+231 (35%)206 (32%)203 (33%)242 (39%)

Survival

The overall survival curves for the four periods showed only small changes in survival over the years (Figure 1). One- year survival decreased from 71% to 68% during the period 1998–2009. This corresponded to an age-adjusted MRR of 1.05 (95% CI 0.86–1.28). The predicted 3- and 5-year survival for women diagnosed in 2007–2009 were 46% and 37%, respectively, which was also a decrease in survival during the period (Table 2). The 3- and 5-year MRRs for 2007–2009 were predicted to be 0.96 (95% CI 0.83–1.12) and 0.99 (95% CI 0.86–1.14), respectively, compared with 1998–2000.
Figure 1

Survival of ovarian cancer patients in four time periods.

Table 2

One-, 3-, and 5-year survival and MRRs, with the period 1998–2000 as a reference

Year of diagnosis
1998–20002001–20032004–20062007–2009
Number of cancer patients664644617616
Median age (years)63616466
1 year
Survival71% (68%–74%)73% (70%–77%)71% (67%–74%)68% (64%–71%)
MRR1 (reference)0.92 (0.74–1.12)1.04 (0.85–1.27)1.15 (0.94–1.40)
MRRa1 (reference)0.95 (0.77–1.17)1.04 (0.85–1.27)1.05 (0.86–1.28)
3 year
Survival48% (44%–51%)50% (46%–53%)50% (46%–54%)46% (42%–50%)b
MRR1 (reference)0.95 (0.81–1.10)0.95 (0.81–1.11)1.05 (0.90–1.22)b
MRRa1 (reference)0.96 (0.83–1.12)0.91 (0.78–1.06)0.96 (0.83–1.12)b
5 year
Survival40% (36%–44%)40% (36%–44%)41% (37%–44%)b37% (34%–41%)b
MRR1 (reference)0.99 (0.86–1.13)0.98 (0.85–1.13)b1.07 (0.93–1.23)b
MRRa1 (reference)1.00 (0.87–1.15)0.94 (0.82–1.08)b0.99 (0.86–1.14)b

Notes: Estimates are presented with 95% confidence intervals;

adjusted for age;

predicted values.

Abbreviation: MRR, mortality rate ratio.

For all three age groups, 1-year survival remained virtually unchanged throughout the study period. For the youngest women (aged 15–49 years), the 1-year survival was 92%. For women aged 50–69 years and 70 years or older, 1-year survival was 79% in 1998–2000 and 79% in 2007–2009, and 49% and 48%, respectively. A similar pattern was seen for 3- and 5-year survival (Table 3).
Table 3

One-, 3-, and 5-year cumulative survival for ovarian cancer patients in three different age groups

Age (years)Year of diagnosis
1998–20002001–20032004–20062007–2009
15–49
 N umber of cancer patients1351348564
 1-year survival92% (86%–95%)92% (86%–95%)92% (84%–96%)92% (82%–97%)
 3-year survival78% (70%–84%)79% (71%–85%)85% (75%–91%)80% (69%–87%)a
 5-year survival71% (62%–78%)71% (62%–78%)72% (61%–80%)a69% (57%–78%)a
50–69
 N umber of cancer patients298304329310
 1-year survival79% (74%–83%)79% (74%–83%)78% (73%–82%)79% (73%–83%)
 3-year survival52% (46%–58%)51% (45%–56%)53% (48%–59%)52% (47%–58%)a
 5-year survival43% (37%–48%)41% (36%–47%)44% (38%–49%)a43% (37%–48%)a
70+
 N umber of cancer patients231206203242
 1-year survival49% (43%–56%)53% (46%–60%)50% (43%–57%)48% (41%–54%)
 3-year survival24% (19%–30%)28% (22%–34%)30% (24%–36%)28% (22%–34%)a
 5-year survival18% (13%–23%)17% (12%–22%)22% (17%–28%)a20% (15%–26%)a

Notes: Estimates are presented with 95% confidence intervals in parentheses;

predicted values.

Discussion

In this population-based follow-up study, we found that the survival after ovarian cancer diagnosis remained almost unchanged during the period 1998–2009. Not surprisingly, the youngest age group had better survival than the older age groups, but within each age group, survival was almost unchanged over the years. Our data thus extend findings from four previous Danish studies. Three studies, based on data from the Danish Cancer Registry, found improved 5-year survival over the period 1943–1987 (22.3% versus 30.4%)15 but no improvement in survival between 1973 and 1978 and between 1981 and 1986,16 and only a slight increase in survival from 1978 to 2002.17 A fourth Danish study, based on hospital discharge registries, similarly found a 5-year survival of 30% in the period 1985–1989, with a 5-year adjusted MRR of 0.8 (95% CI 0.72–0.90) from 1985 to 2004.11 Still, the overall improvement in ovarian cancer survival during the last decades has been limited. Our study was large and included all ovarian cancer patients from a well defined area covering approximately 30% of the Danish population. We accomplished complete vital status follow-up by using the Civil Registry System. Data on cancer in Denmark are usually extracted from the nationwide Danish Cancer Registry because of the high completeness and accuracy of data in this registry.18,19 However, use of data from the Cancer Registry would not allow us to compute updated estimates from the most recent calendar years. Thus, data from the Cancer Registry are not optimal for an ongoing quality assessment of conceivable recent improvements in ovarian cancer treatment. Patient registries may, however, be affected by some degree of misclassification of ovarian cancer diagnoses. Malignant ovarian tumors include invasive tumors and borderline tumors. The ovarian cancer diagnoses (including borderline tumors) have previously been validated by comparing data from the hospital registry with data from the Danish Cancer Registry.20 Ovarian cancer diagnoses had a completeness of 96% in the hospital discharge registry, and the positive predictive value was 87%. Before 2001, the DNPR comprised no specific code for borderline tumors, and these could therefore not be separated from invasive tumors. In a previous Danish study by Tetsche et al, borderline tumors comprised 18% of ovarian cancers registered during 1994–2003.20 Patients with borderline tumors have a 5-year survival of 86%,21 which is far better than that for patients with invasive disease. When interpreting our results from before 2001, it is therefore important to be aware that inclusion of borderline tumors will inflate the survival estimates compared with estimates based purely on invasive tumors, and inclusion of borderline tumors in the first part of our study period could thus mask a potential survival benefit in patients with invasive tumors. We observed a decline in the absolute number of patients with an ovarian cancer diagnosis after 2000, which is consistent with inclusion of some borderline tumors before then. However, factors, not related to the health care system, can also influence survival data on ovarian cancer patients.22 The outcome of ovarian cancer may be influenced by factors such as aggressiveness of the tumor as it progresses along its clinical course, presence of other diseases (comorbidity), quality and accessibility/availability of diagnostic tests, and organization of health system.23 Tumor stage at diagnosis has been identified as an important prognostic factor.15 Unfortunately, we had no information about tumor stage in our study, but during our study period, increasing use of, and better access to, diagnostic ultrasound, magnetic resonance, and computed tomography scanning may have resulted in earlier diagnosis, but these methods are implemented only when patients present with symptoms, and do not serve as a screening method contributing significantly to diagnosis at an earlier disease stage. The impact of comorbid conditions on ovarian cancer survival has been investigated in several studies,24–26 and decreased survival has been found to be associated with presence of comorbidity. Still, we do not expect increasing prevalence of comorbidity among ovarian cancer patients to entirely explain our lack of improvement in survival. In 2000 and 2005, the first and second Danish Cancer Control Plans were initiated.10 The launched initiatives focused on reduction of diagnostic delay and establishment of multidisciplinary cancer groups. During our study period, the surgical treatment of ovarian cancer in Denmark has been centralized.9 In 2008, the number of departments treating stage ii and iv ovarian cancer was reduced to six high-volume departments. The National Board of Health recommends further reduction to four high-volume departments.9 The proposed centralization has been implemented only in the recent years, accomplished by more extensive, radical surgery. In our study, these initiatives have not yet resulted in better survival of ovarian cancer patients living in central and northern Denmark.

Conclusion

The survival of ovarian cancer patients has not improved during the study period. This lack of improvement contrasts with the national cancer strategies implemented during this last decade focusing on improving the survival of ovarian cancer patients.
  24 in total

1.  Hybrid analysis for up-to-date long-term survival rates in cancer registries with delayed recording of incident cases.

Authors:  Hermann Brenner; Bernard Rachet
Journal:  Eur J Cancer       Date:  2004-11       Impact factor: 9.162

2.  Accuracy of ovarian cancer ICD-10 diagnosis in a Danish population-based hospital discharge registry.

Authors:  M S Tetsche; M Nørgaard; M V Skriver; E S Andersen; T L Lash; H T Sørensen
Journal:  Eur J Gynaecol Oncol       Date:  2005       Impact factor: 0.196

3.  The Danish National Hospital Register. A valuable source of data for modern health sciences.

Authors:  T F Andersen; M Madsen; J Jørgensen; L Mellemkjoer; J H Olsen
Journal:  Dan Med Bull       Date:  1999-06

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.  Ovarian cancer in Europe: Cross-sectional trends in incidence and mortality in 28 countries, 1953-2000.

Authors:  Freddie Bray; Anja Helena Loos; Sandro Tognazzo; Carlo La Vecchia
Journal:  Int J Cancer       Date:  2005-03-01       Impact factor: 7.396

6.  Survival of European women with gynaecological tumours, during the period 1978-1989. EUROCARE Working Group.

Authors:  G Gatta; M B Lasota; A Verdecchia
Journal:  Eur J Cancer       Date:  1998-12       Impact factor: 9.162

7.  Trends in the survival of patients diagnosed with cancer in female genital organs in the Nordic countries 1964-2003 followed up to the end of 2006.

Authors:  Asa Klint; Laufey Tryggvadóttir; Freddie Bray; Mette Gislum; Timo Hakulinen; Hans H Storm; Gerda Engholm
Journal:  Acta Oncol       Date:  2010-06       Impact factor: 4.089

8.  Survival of ovarian cancer patients in Denmark: excess mortality risk analysis of five-year relative survival in the period 1978-2002.

Authors:  Charlotte Gerd Hannibal; Rikke Cortes; Gerda Engholm; Susanne Krüger Kjaer
Journal:  Acta Obstet Gynecol Scand       Date:  2008       Impact factor: 3.636

9.  [Cancer survival before and after initiating the Danish Cancer Control plan].

Authors:  Hans Henrik Storm; Mette Gislum; Gerda Engholm
Journal:  Ugeskr Laeger       Date:  2008-09-22

10.  First-line intraperitoneal carboplatin-based chemotherapy for 165 patients with epithelial ovarian carcinoma: results of long-term follow-up.

Authors:  Keiichi Fujiwara; Noriaki Sakuragi; Sachiko Suzuki; Nobutaka Yoshida; Kenichiro Maehata; Masashi Nishiya; Takayuki Koshida; Hideaki Sawai; Eriko Aotani; Ichiro Kohno
Journal:  Gynecol Oncol       Date:  2003-09       Impact factor: 5.482

View more
  5 in total

1.  CREB5 promotes tumor cell invasion and correlates with poor prognosis in epithelial ovarian cancer.

Authors:  Shanyang He; Yalan Deng; Yanbin Liao; Xiaojin Li; Jun Liu; Shuzhong Yao
Journal:  Oncol Lett       Date:  2017-10-20       Impact factor: 2.967

2.  Ovarian cancer surgery: health and coping during the perioperative period.

Authors:  Lene Seibaek; Jan Blaakaer; Lone Kjeld Petersen; Lise Hounsgaard
Journal:  Support Care Cancer       Date:  2012-08-09       Impact factor: 3.603

3.  The effect of neighborhood-level socioeconomic status on racial differences in ovarian cancer treatment in a population-based analysis in Chicago.

Authors:  Charlotte E Joslin; Katherine C Brewer; Faith G Davis; Kent Hoskins; Caryn E Peterson; Heather A Pauls
Journal:  Gynecol Oncol       Date:  2014-08-28       Impact factor: 5.482

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

Authors:  Anne Fia Grann; Reimar Wernich Thomsen; Jacob Bonde Jacobsen; Mette Nørgaard; Jan Blaakær; Mette Søgaard
Journal:  Clin Epidemiol       Date:  2013-11-01       Impact factor: 4.790

5.  The prognostic values of the peroxiredoxins family in ovarian cancer.

Authors:  Saisai Li; Xiaoli Hu; Miaomiao Ye; Xueqiong Zhu
Journal:  Biosci Rep       Date:  2018-09-05       Impact factor: 3.840

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.