Literature DB >> 27822089

Danish Gynecological Cancer Database.

Sarah Mejer Sørensen1, Signe Frahm Bjørn1, Kirsten Marie Jochumsen2, Pernille Tine Jensen2, Ingrid Regitze Thranov1, Helle Hare-Bruun3, Lene Seibæk4, Claus Høgdall1.   

Abstract

AIM OF DATABASE: The Danish Gynecological Cancer Database (DGCD) is a nationwide clinical cancer database and its aim is to monitor the treatment quality of Danish gynecological cancer patients, and to generate data for scientific purposes. DGCD also records detailed data on the diagnostic measures for gynecological cancer. STUDY POPULATION: DGCD was initiated January 1, 2005, and includes all patients treated at Danish hospitals for cancer of the ovaries, peritoneum, fallopian tubes, cervix, vulva, vagina, and uterus, including rare histological types. MAIN VARIABLES: DGCD data are organized within separate data forms as follows: clinical data, surgery, pathology, pre- and postoperative care, complications, follow-up visits, and final quality check. DGCD is linked with additional data from the Danish "Pathology Registry", the "National Patient Registry", and the "Cause of Death Registry" using the unique Danish personal identification number (CPR number). DESCRIPTIVE DATA: Data from DGCD and registers are available online in the Statistical Analysis Software portal. The DGCD forms cover almost all possible clinical variables used to describe gynecological cancer courses. The only limitation is the registration of oncological treatment data, which is incomplete for a large number of patients.
CONCLUSION: The very complete collection of available data from more registries form one of the unique strengths of DGCD compared to many other clinical databases, and provides unique possibilities for validation and completeness of data. The success of the DGCD is illustrated through annual reports, high coverage, and several peer-reviewed DGCD-based publications.

Entities:  

Keywords:  follow-up; gynecological cancer; operation; pathology; quality; research

Year:  2016        PMID: 27822089      PMCID: PMC5094526          DOI: 10.2147/CLEP.S99479

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


Aim of database

The aim of the Danish Gynecological Cancer Database (DGCD) is to achieve the greatest possible knowledge regarding examination, treatment methods, and results within the field of gynecological cancer in Denmark. The purpose is treatment quality assurance and improvement, and generation of scientific data.1

Study population

DGCD is by definition nationwide: “a clinical quality registry where a minimum of 90% of the relevant patient population in Denmark is registered”.2 The database was initiated on January 1, 2005. The database before June 1, 2013, is referred to as the old DGCD and the database after this date as the new DGCD. Data from the old DGCD are mapped into the new DGCD in order to assure continuity. Since July 2015, 19,729 patients had been registered in DGCD, on average 1,879 patients per year since January 1, 2005. Table 1 shows an overview of the patients currently enrolled in DGCD and the diagnoses that DGCD covers.3,4 As seen in Table 2, DGCD has had a high coverage rate throughout the years. The coverage estimates are based on the registrations in the Danish National Patient Registry (NPR).
Table 1

The DGCD’s present patient population according to diagnosis

2014/2015
2013/2014
2012/2013
2011/2012a
2005–2011a
Total
n%n%n%n%n%N%
Ovarian cancer32416.634616.342028.649527.23,06724.94,65223.6
Tubal cancer271.4401.9281.9231.31971.63151.6
Peritoneal cancer452.3401.960.410.13132.54052.1
Borderline tumors1246.31597.51198.11337.31,11491,6498.4
Cancer of the cervix33717.336717.324616.834719.02,467203,76419.1
Vulvar cancer1286.61145.4563.8462.53441.7
Vaginal cancer211.1140.710.1360.2
Trophoblast disease281.4482.50.310.1820.4
Unknown ovarian or peritoneal cancer944.8994.770.52001.0
Endometrial cancer71836.878837.156638.677542.54,71838.27,56538.4
Uterine hyperplasia with atypia1075.51095.1130.910.14633.86933.5
Total1,9531002,1241001,4661001,82310012,33910019,705100

Note:

Due to the mapping of data from the old DGCD to the new DGCD, the number of patients enrolled in 2005–2011 and the number of patients enrolled in 2011/2012 will have a small overlap.

Abbreviation: DGCD, Danish Gynecological Cancer Database.

Table 2

Data coverage during the life span of the database based on data from the database Quality Management System (QMS) and the Danish National Patient Registry (NPR)

DGCD national report periodRegistered in both QMS and NPR, nOnly inQMSOnly in NPRCoverage rate (%)
2014/20152,0291327297
2013/20142,239854398
2012/2013a1,71511323189
2005–201214,869N/A48097

Notes:

Due to increased scrutiny of the new database, there are fewer patients in the database from this period than previously reported. N/A: Data not available.

Abbreviation: DGCD, Danish Gynecological Cancer Database.

Main variables

Data are registered online in special data forms programmed in the TietoEnator’s quality measurement system.5 Data are placed on a central server hosted by the Registry Support Center (East) – Center for Clinical Quality Improvement and Health Informatics. The data of DGCD are primarily recorded in four main online forms: clinical data, surgery, pathology, and final quality check. In the old DGCD, some of the variables were optional, thus resulting in varying registration of the optional variables. In the new DGCD, optional data requirements have been eliminated. Due to the setup of the old DGCD, it was possible to add and fill in data forms in a way in which the sequence of patient events were incorrectly registered. In order to get valid data, constant data review and time consuming correction by doctors and secretaries was needed. The structure of the data forms in the new DGCD ensures correct registration. The first data form covers clinical data. The data are registered by gynecologists specializing in gynecological oncology. The second data form covers surgical data recorded by surgeons specializing in gynecological oncology. The third data form covers pathology data that are registered by a pathologist. All data forms are designed to logically and consecutively provide variables specific for each type of gynecological cancer and surgery. Staging follows the “International Federation of Gynecology and Obstetrics” (FIGO) system. Staging reports are available both in the FIGO and Tumor Nodes Metastasis system. In case of ovarian cancer, the final staging is based on both surgical and pathological staging. In uterine cancers, the pathological staging is determinative. When the diagnosis is based only on a biopsy, the gynecological clinician can choose to stage the disease based on imaging and clinical findings. The staging follows the FIGO guidelines. Staging and treatment of cervical, vulva, and ovarian cancer is centralized in Denmark and only allowed in centers with specialized gynecological oncologists. The fourth data form is the final quality check, which is recorded by the gynecologists. Data from all data forms described earlier are consolidated and from this the final staging and diagnosis is performed. In the new DGCD, data forms for registering pre- and postoperative nurses’ care and data forms for vulva/vaginal cancer and trophoblastic disease were added in 2013. An overview of the main variables in DGCD is presented in Table 3. The old DGCD also included a data form for registration of data regarding the oncological treatment. Due to poor cover rate, this data form was omitted in the new DGCD. Oncologic data in the new DGCD are imported from the NPR which only includes date and type of oncologic treatment.
Table 3

Main variables in DGCD – an overview

Clinical dataSurgical dataPathologyPre- and postoperative care
Gynecological historyDescription of Cancer spread, tumor sizeMacro- and microscopically verified spread of the cancerPsychosocial status
PredispositionsPeritoneal carcinomatosisCytology of peritoneal and pleural fluidsNutritional status
ComorbidityMetastasesHistologyMobilization
Smoking and alcoholAscitesHistological typeVital functions
BMIPerformed surgeryWHO gradePain score
Risk of malignancy index (RMI)Extent of surgeryFIGO stage
Data on preoperative physical findingsResection of other organs
Choice of treatmentOperative time
Surgical outcome
Residual tumor size
Residual carcinomatosis
Incidental lesions to other organs
Operative surgical stage
Blood loss
Surgical complications (within 30 days postoperative)

Abbreviations: DGCD, Danish Gynecological Cancer Database; BMI, body mass index; WHO, World Health Organization; FIGO, International Federation of Gynecology and Obstetrics.

In addition, data such as diagnosis, duration of hospitalization, and perioperative complications are drawn from the NPR. In this way, DGCD data are both validated and supplemented. Pathological data regarding histology and relapse biopsies are drawn from the Danish Pathology Register, data regarding cause of death from the Cause of Death Register, and overall survival from the Civil Registration System, which is updated day-to-day.

Follow-up

Data regarding follow-up are registered in DGCD with a form describing each follow-up visit, including registration of relapse and residual disease. The unique nationwide Civil Registration System and Cause of Death Register ensure virtually complete follow-up of all patients recorded in the DGCD. Until recently, Danish gynecologic cancer patients had follow-up visits at the hospital for 5 years or to recurrence and/or death. According to new guidelines from the National Institute of Health, follow-up visits after the first year will now be based on need.

Examples of research

DGCD has formed the basis of several scientific studies and publications. This spans from scholarship fellows and bachelor theses to PhD theses, doctoral theses, and post-doc publications. In 2014 alone, DGCD data were used in nine ongoing PhD projects and three ongoing post-docs.6 Several DGCD studies have been published for assurance of quality. Fagö-Olsen et al demonstrated in 2011 that centralization of treatment for ovarian cancer improves survival. It was shown that patients with stage IIIC and IV ovarian cancer benefit from treatment in a tertiary referral center.7 Another quality study based solely on DGCD data by Håkansson et al in 2012 validated the use of the risk of malignancy index (RMI) as a tool for ovarian cancer risk assessment and referral to a tertiary center. They found that RMI ≥200 was a reliable tool for identifying patients with ovarian cancer.8 In 2014, Svolgaard et al published an article for assurance of quality based on DGCD data. The aim was to evaluate the Danish nationwide progress in implementing lymphadenectomy for women presenting with tumor(s) macroscopically confined to the ovary, and the effect of lymphadenectomy on the overall survival. The study concluded that the national number of lymphadenectomies was too low, although increasing, and that the effect of lymphadenectomies on overall survival was not significant.9 The results of the study formed the basis for a very intense debate about systematic lymphadenectomy and revision of guidelines. DGCD publishes annual reports, which are widely used as a source of quality results of Danish gynecologic cancer treatment.3 A DGCD validation study from 2014 concluded: the data on endometrial cancer registered in the DGCD regarding surgery and pathology is valid and complete, and they provide a solid base for research.10 The completeness of data on pathology and surgery reported to the DGCD was 97.3% and the agreement for the reported data in the DGCD was 88.3%.10 A DGCD validation study on postoperative complications in ovarian cancer, tubal cancer, and ovarian borderline tumor patients showed that the completeness of reporting to the DGCD was 94.2% and the strength of agreement between the variables in the DGCD and the medical file varied from moderate to very good.11 A new large validation study on ovarian cancer based on a combination of NPR and DGCD variables is currently under progress (personal communication by Sørensen et al, March 6, 2016). DGCD has also been used in studies showing how comorbidity independently affects overall survival in women with uterine or ovarian cancer.12 DGCD is furthermore extensively used in translational and clinical national and international studies as data are easily combined with data from the Danish Cancer Biobank.13–16 In one of the first DGCD-based translational studies from 2010 performed by Petri et al, data from DGCD combined with material from the Danish Cancer Biobank were used in comparison of proteomic biomarker panels in urine and serum for ovarian cancer diagnosis. The authors concluded that urine and serum proteomic panels can be used individually or in combination in ovarian cancer diagnostics.17 The Danish Multidisciplinary Cancer Group (DMCG) produced a report on cancer survival in Denmark in the period 1995–2012.18 This report included calculations of ovarian cancer survival based on DGCD data. The report showed that the 5-year survival for ovarian cancer was 37% in the period 2005–2009, that the mortality rates of ovarian cancer patients in Denmark have been decreasing since 1995, and the survival trends have been gradually increasing since 2000. This report provided important information on trends in the management and prognosis of ovarian cancer. Edwards et al have continued working on the report.19

Administrative issues and funding

The DGCD is funded by the Danish regions. The monitoring and improvement of the treatment quality of gynecological cancer is the key objective that ensures the funding of DGCD, which is anchored to the national expert group, the Danish Gynecological Cancer Group, consisting of clinicians and researchers responsible for developing and maintaining national clinical guidelines for the treatment of gynecological cancer. DGCD is under the auspices of the DMCG; an umbrella organization comprised of 24 national, disease-specific cancer groups and clinical databases. The running and maintenance of DGCD is managed by the DGCD steering committee, which consists of a chairperson and 14 members appointed by the Danish Gynecological Cancer Group board and the Registry Support Centre (East) – Centre for Clinical Quality Improvement and Health Informatics. To ensure maximal coverage rate, shortage lists are created specifically for each hospital and continually updated. The steering committee develops the annual DGCD report and clinical quality indicators in cooperation with Registry Support Centre (East) – Epidemiology and Biostatistics. The present 13 quality indicators, which are used to monitor the quality of the management of gynecological cancer between different regions of Denmark and across hospitals, are presented in Table 4. The quality indicators are under constant validation and development.3
Table 4

Clinical quality indicators used

Indicator areaIndicator nameStandard
Cervical cancerCervical cancer, percentage of patients with removal of ≥18 lymph nodes during radical hysterectomy≥80%
Cervical cancer, 5-year survival FIGO stage I≥90%
Cervical cancer, 5-year survival FIGO stage II–III≥45%
Ovarian cancerOvarian cancer, primary radical surgery, FIGO stage IIIC–IV, surgery≥60%
Ovarian cancer, radical surgery after neoadjuvant chemotherapy, FIGO stage IIIC–IV≥60%
Ovarian cancer, performed radical lymphadenectomy, FIGO stage I–IIIA≥80%
Ovarian cancer, performed radical lymphadenectomy, FIGO stage IIIB–IV≥80%
Ovarian cancer, postoperative hospitalization #8 days after primary surgery≥80%
Ovarian cancer, postoperative hospitalization #8 days after surgery performed after neoadjuvant chemotherapy≥80%
Endometrial cancerEndometrial cancer, no lymphadenectomy, for low risk patients FIGO stage I≥85%
Endometrial cancer, removal of pelvic lymph nodes for mid-high risk patients FIGO stage I or II–III≥80%
Nurses’ treatmentNurses, ovarian cancer – mobilization of non-extensively operated patients ≥3 hours on postoperative day 1≥60%
Nurses, ovarian cancer – number of patients with defecation #3 days postoperative≥80%
Suggestions of new indicators
Vulvar cancerVulvar cancer, sentinel node biopsy performed on patients with FIGO stage IB, tumor size #4 cm and no palpable inguinal nodes≥70%
Trophoblastic diseaseTrophoblastic disease (only molar); genetic analysis performed≥75%

Abbreviation: FIGO, International Federation of Gynecology and Obstetrics.

Conclusion

The DGCD is a large compulsory nationwide clinical database with a high coverage of all gynecological cancers. The large number of variables provides a basis for several quality and research publications. The selected data from all the registers are, together with DGCD data, available in a structured form in the Statistical Analysis Software portal and as raw data. This very complete collection of available data from several registers forms one of the unique strengths of DGCD, compared to many other clinical databases. It provides unique possibilities for validation and completeness of data. Other unique strengths of the DGCD are the high coverage, almost 100% follow-up, and that DGCD represents data from all Danish patients with a gynecologic malignancy with minimal risk of selection bias in research and presentations. One of the major problems in DGCD registration is the lack of specific oncology data such as more detailed oncologic treatment, oncologic complications, and response and relapse data
  11 in total

1.  Comparison of proteomic biomarker panels in urine and serum for ovarian cancer diagnosis.

Authors:  Anette Lykke Petri; Anja Hviid Simonsen; Estrid Høgdall; Ib Jarle Christensen; Susanne Krüger Kjaer; Christine Yip; Signe Risum; Anette Tønnes Pedersen; Dorte Hartwell; Eric T Fung; Claus Høgdall
Journal:  Proteomics Clin Appl       Date:  2010-01-04       Impact factor: 3.494

2.  Survival of ovarian cancer patients in Denmark: Results from the Danish gynaecological cancer group (DGCG) database, 1995-2012.

Authors:  Hellen McKinnon Edwards; Mette Calundann Noer; Cecilie Dyg Sperling; Mary Nguyen-Nielsen; Lene Lundvall; Ib Jarle Christensen; Claus Høgdall
Journal:  Acta Oncol       Date:  2016-06-29       Impact factor: 4.089

3.  Lymphadenectomy in surgical stage I epithelial ovarian cancer.

Authors:  Olivia Svolgaard; Ojvind Lidegaard; Marie Louise S Nielsen; Lotte Nedergaard; Berit J Mosgaard; Marianne Lidang; Ole Mogensen; Kirsten Kock; Jan Blaakaer; Estrid Staehr; Erik S Andersen; Anni Grove; Claus Høgdall
Journal:  Acta Obstet Gynecol Scand       Date:  2014-01-22       Impact factor: 3.636

4.  Comorbidity is an independent prognostic factor for the survival of ovarian cancer: a Danish register-based cohort study from a clinical database.

Authors:  Cecilie Sperling; Mette Calundann Noer; Ib Jarle Christensen; Marie Louise Shee Nielsen; Øjvind Lidegaard; Claus Høgdall
Journal:  Gynecol Oncol       Date:  2013-01-03       Impact factor: 5.482

5.  A novel proteomic biomarker panel as a diagnostic tool for patients with ovarian cancer.

Authors:  Claus Høgdall; Eric T Fung; Ib J Christensen; Lotte Nedergaard; Svend A Engelholm; Anette L Petri; Signe Risum; Lene Lundvall; Christine Yip; Anette T Pedersen; Dorthe Hartwell; Lee Lomas; Estrid V S Høgdall
Journal:  Gynecol Oncol       Date:  2011-08-19       Impact factor: 5.482

6.  Risk of malignancy index used as a diagnostic tool in a tertiary centre for patients with a pelvic mass.

Authors:  Fanny Håkansson; Estrid V S Høgdall; Lotte Nedergaard; Lene Lundvall; Svend A Engelholm; Anette T Pedersen; Dorthe Hartwell; Claus Høgdall
Journal:  Acta Obstet Gynecol Scand       Date:  2012-02-22       Impact factor: 3.636

7.  Evaluation of HE4, CA125, risk of ovarian malignancy algorithm (ROMA) and risk of malignancy index (RMI) as diagnostic tools of epithelial ovarian cancer in patients with a pelvic mass.

Authors:  Mona Aarenstrup Karlsen; Noreen Sandhu; Claus Høgdall; Ib Jarle Christensen; Lotte Nedergaard; Lene Lundvall; Svend A Engelholm; Anette T Pedersen; Dorthe Hartwell; Magnus Lydolph; Inga Alice Laursen; Estrid V S Høgdall
Journal:  Gynecol Oncol       Date:  2012-07-24       Impact factor: 5.482

8.  Valid and complete data on endometrial cancer in the Danish Gynaecological Cancer Database.

Authors:  Caroline S Juhl; Estrid S Hansen; Claus K Høgdall; Gitte Ørtoft
Journal:  Dan Med J       Date:  2014-06       Impact factor: 1.240

9.  Validation of epithelial ovarian cancer and fallopian tube cancer and ovarian borderline tumor data in the Danish Gynecological Cancer Database.

Authors:  Anette Lykke Petri; Susanne Krüger Kjaer; Ib J Christensen; Jan Blaakaer; Estrid Hogdall; Ulla Jeppesen; Berit J Mosgaard; Jens D Pagel; Line Stilling; Ingrid Thranov; Claus Hogdall
Journal:  Acta Obstet Gynecol Scand       Date:  2009       Impact factor: 3.636

10.  Multiple independent variants at the TERT locus are associated with telomere length and risks of breast and ovarian cancer.

Authors:  Stig E Bojesen; Karen A Pooley; Sharon E Johnatty; Jonathan Beesley; Kyriaki Michailidou; Jonathan P Tyrer; Stacey L Edwards; Hilda A Pickett; Howard C Shen; Chanel E Smart; Kristine M Hillman; Phuong L Mai; Kate Lawrenson; Michael D Stutz; Yi Lu; Rod Karevan; Nicholas Woods; Rebecca L Johnston; Juliet D French; Xiaoqing Chen; Maren Weischer; Sune F Nielsen; Melanie J Maranian; Maya Ghoussaini; Shahana Ahmed; Caroline Baynes; Manjeet K Bolla; Qin Wang; Joe Dennis; Lesley McGuffog; Daniel Barrowdale; Andrew Lee; Sue Healey; Michael Lush; Daniel C Tessier; Daniel Vincent; Françis Bacot; Ignace Vergote; Sandrina Lambrechts; Evelyn Despierre; Harvey A Risch; Anna González-Neira; Mary Anne Rossing; Guillermo Pita; Jennifer A Doherty; Nuria Alvarez; Melissa C Larson; Brooke L Fridley; Nils Schoof; Jenny Chang-Claude; Mine S Cicek; Julian Peto; Kimberly R Kalli; Annegien Broeks; Sebastian M Armasu; Marjanka K Schmidt; Linde M Braaf; Boris Winterhoff; Heli Nevanlinna; Gottfried E Konecny; Diether Lambrechts; Lisa Rogmann; Pascal Guénel; Attila Teoman; Roger L Milne; Joaquin J Garcia; Angela Cox; Vijayalakshmi Shridhar; Barbara Burwinkel; Frederik Marme; Rebecca Hein; Elinor J Sawyer; Christopher A Haiman; Shan Wang-Gohrke; Irene L Andrulis; Kirsten B Moysich; John L Hopper; Kunle Odunsi; Annika Lindblom; Graham G Giles; Hermann Brenner; Jacques Simard; Galina Lurie; Peter A Fasching; Michael E Carney; Paolo Radice; Lynne R Wilkens; Anthony Swerdlow; Marc T Goodman; Hiltrud Brauch; Montserrat Garcia-Closas; Peter Hillemanns; Robert Winqvist; Matthias Dürst; Peter Devilee; Ingo Runnebaum; Anna Jakubowska; Jan Lubinski; Arto Mannermaa; Ralf Butzow; Natalia V Bogdanova; Thilo Dörk; Liisa M Pelttari; Wei Zheng; Arto Leminen; Hoda Anton-Culver; Clareann H Bunker; Vessela Kristensen; Roberta B Ness; Kenneth Muir; Robert Edwards; Alfons Meindl; Florian Heitz; Keitaro Matsuo; Andreas du Bois; Anna H Wu; Philipp Harter; Soo-Hwang Teo; Ira Schwaab; Xiao-Ou Shu; William Blot; Satoyo Hosono; Daehee Kang; Toru Nakanishi; Mikael Hartman; Yasushi Yatabe; Ute Hamann; Beth Y Karlan; Suleeporn Sangrajrang; Susanne Krüger Kjaer; Valerie Gaborieau; Allan Jensen; Diana Eccles; Estrid Høgdall; Chen-Yang Shen; Judith Brown; Yin Ling Woo; Mitul Shah; Mat Adenan Noor Azmi; Robert Luben; Siti Zawiah Omar; Kamila Czene; Robert A Vierkant; Børge G Nordestgaard; Henrik Flyger; Celine Vachon; Janet E Olson; Xianshu Wang; Douglas A Levine; Anja Rudolph; Rachel Palmieri Weber; Dieter Flesch-Janys; Edwin Iversen; Stefan Nickels; Joellen M Schildkraut; Isabel Dos Santos Silva; Daniel W Cramer; Lorna Gibson; Kathryn L Terry; Olivia Fletcher; Allison F Vitonis; C Ellen van der Schoot; Elizabeth M Poole; Frans B L Hogervorst; Shelley S Tworoger; Jianjun Liu; Elisa V Bandera; Jingmei Li; Sara H Olson; Keith Humphreys; Irene Orlow; Carl Blomqvist; Lorna Rodriguez-Rodriguez; Kristiina Aittomäki; Helga B Salvesen; Taru A Muranen; Elisabeth Wik; Barbara Brouwers; Camilla Krakstad; Els Wauters; Mari K Halle; Hans Wildiers; Lambertus A Kiemeney; Claire Mulot; Katja K Aben; Pierre Laurent-Puig; Anne Mvan Altena; Thérèse Truong; Leon F A G Massuger; Javier Benitez; Tanja Pejovic; Jose Ignacio Arias Perez; Maureen Hoatlin; M Pilar Zamora; Linda S Cook; Sabapathy P Balasubramanian; Linda E Kelemen; Andreas Schneeweiss; Nhu D Le; Christof Sohn; Angela Brooks-Wilson; Ian Tomlinson; Michael J Kerin; Nicola Miller; Cezary Cybulski; Brian E Henderson; Janusz Menkiszak; Fredrick Schumacher; Nicolas Wentzensen; Loic Le Marchand; Hannah P Yang; Anna Marie Mulligan; Gord Glendon; Svend Aage Engelholm; Julia A Knight; Claus K Høgdall; Carmel Apicella; Martin Gore; Helen Tsimiklis; Honglin Song; Melissa C Southey; Agnes Jager; Ans M Wvan den Ouweland; Robert Brown; John W M Martens; James M Flanagan; Mieke Kriege; James Paul; Sara Margolin; Nadeem Siddiqui; Gianluca Severi; Alice S Whittemore; Laura Baglietto; Valerie McGuire; Christa Stegmaier; Weiva Sieh; Heiko Müller; Volker Arndt; France Labrèche; Yu-Tang Gao; Mark S Goldberg; Gong Yang; Martine Dumont; John R McLaughlin; Arndt Hartmann; Arif B Ekici; Matthias W Beckmann; Catherine M Phelan; Michael P Lux; Jenny Permuth-Wey; Bernard Peissel; Thomas A Sellers; Filomena Ficarazzi; Monica Barile; Argyrios Ziogas; Alan Ashworth; Aleksandra Gentry-Maharaj; Michael Jones; Susan J Ramus; Nick Orr; Usha Menon; Celeste L Pearce; Thomas Brüning; Malcolm C Pike; Yon-Dschun Ko; Jolanta Lissowska; Jonine Figueroa; Jolanta Kupryjanczyk; Stephen J Chanock; Agnieszka Dansonka-Mieszkowska; Arja Jukkola-Vuorinen; Iwona K Rzepecka; Katri Pylkäs; Mariusz Bidzinski; Saila Kauppila; Antoinette Hollestelle; Caroline Seynaeve; Rob A E M Tollenaar; Katarzyna Durda; Katarzyna Jaworska; Jaana M Hartikainen; Veli-Matti Kosma; Vesa Kataja; Natalia N Antonenkova; Jirong Long; Martha Shrubsole; Sandra Deming-Halverson; Artitaya Lophatananon; Pornthep Siriwanarangsan; Sarah Stewart-Brown; Nina Ditsch; Peter Lichtner; Rita K Schmutzler; Hidemi Ito; Hiroji Iwata; Kazuo Tajima; Chiu-Chen Tseng; Daniel O Stram; David van den Berg; Cheng Har Yip; M Kamran Ikram; Yew-Ching Teh; Hui Cai; Wei Lu; Lisa B Signorello; Qiuyin Cai; Dong-Young Noh; Keun-Young Yoo; Hui Miao; Philip Tsau-Choong Iau; Yik Ying Teo; James McKay; Charles Shapiro; Foluso Ademuyiwa; George Fountzilas; Chia-Ni Hsiung; Jyh-Cherng Yu; Ming-Feng Hou; Catherine S Healey; Craig Luccarini; Susan Peock; Dominique Stoppa-Lyonnet; Paolo Peterlongo; Timothy R Rebbeck; Marion Piedmonte; Christian F Singer; Eitan Friedman; Mads Thomassen; Kenneth Offit; Thomas V O Hansen; Susan L Neuhausen; Csilla I Szabo; Ignacio Blanco; Judy Garber; Steven A Narod; Jeffrey N Weitzel; Marco Montagna; Edith Olah; Andrew K Godwin; Drakoulis Yannoukakos; David E Goldgar; Trinidad Caldes; Evgeny N Imyanitov; Laima Tihomirova; Banu K Arun; Ian Campbell; Arjen R Mensenkamp; Christi J van Asperen; Kees E P van Roozendaal; Hanne Meijers-Heijboer; J Margriet Collée; Jan C Oosterwijk; Maartje J Hooning; Matti A Rookus; Rob B van der Luijt; Theo A Mvan Os; D Gareth Evans; Debra Frost; Elena Fineberg; Julian Barwell; Lisa Walker; M John Kennedy; Radka Platte; Rosemarie Davidson; Steve D Ellis; Trevor Cole; Brigitte Bressac-de Paillerets; Bruno Buecher; Francesca Damiola; Laurence Faivre; Marc Frenay; Olga M Sinilnikova; Olivier Caron; Sophie Giraud; Sylvie Mazoyer; Valérie Bonadona; Virginie Caux-Moncoutier; Aleksandra Toloczko-Grabarek; Jacek Gronwald; Tomasz Byrski; Amanda B Spurdle; Bernardo Bonanni; Daniela Zaffaroni; Giuseppe Giannini; Loris Bernard; Riccardo Dolcetti; Siranoush Manoukian; Norbert Arnold; Christoph Engel; Helmut Deissler; Kerstin Rhiem; Dieter Niederacher; Hansjoerg Plendl; Christian Sutter; Barbara Wappenschmidt; Ake Borg; Beatrice Melin; Johanna Rantala; Maria Soller; Katherine L Nathanson; Susan M Domchek; Gustavo C Rodriguez; Ritu Salani; Daphne Gschwantler Kaulich; Muy-Kheng Tea; Shani Shimon Paluch; Yael Laitman; Anne-Bine Skytte; Torben A Kruse; Uffe Birk Jensen; Mark Robson; Anne-Marie Gerdes; Bent Ejlertsen; Lenka Foretova; Sharon A Savage; Jenny Lester; Penny Soucy; Karoline B Kuchenbaecker; Curtis Olswold; Julie M Cunningham; Susan Slager; Vernon S Pankratz; Ed Dicks; Sunil R Lakhani; Fergus J Couch; Per Hall; Alvaro N A Monteiro; Simon A Gayther; Paul D P Pharoah; Roger R Reddel; Ellen L Goode; Mark H Greene; Douglas F Easton; Andrew Berchuck; Antonis C Antoniou; Georgia Chenevix-Trench; Alison M Dunning
Journal:  Nat Genet       Date:  2013-04       Impact factor: 38.330

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  8 in total

1.  International Study of Primary Mucinous Ovarian Carcinomas Managed at Tertiary Medical Centers.

Authors:  Jennifer J Mueller; Henrik Lajer; Berit Jul Mosgaard; Slim Bach Hamba; Philippe Morice; Sebastien Gouy; Yaser Hussein; Robert A Soslow; Brooke A Schlappe; Qin C Zhou; Alexia Iasonos; Claus Høgdall; Alexandra Leary; Roisin E O'Cearbhaill; Nadeem R Abu-Rustum
Journal:  Int J Gynecol Cancer       Date:  2018-06       Impact factor: 3.437

2.  Lymph-vascular space invasion (LVSI) as a strong and independent predictor for non-locoregional recurrences in endometrial cancer: a Danish Gynecological Cancer Group Study.

Authors:  Gitte Ørtoft; Lisa Lausten-Thomsen; Claus Høgdall; Estrid S Hansen; Margit Dueholm
Journal:  J Gynecol Oncol       Date:  2019-09       Impact factor: 4.401

3.  Diagnostic plasma miRNA-profiles for ovarian cancer in patients with pelvic mass.

Authors:  Douglas Nogueira Perez Oliveira; Anting Liu Carlsen; Niels H H Heegaard; Kira Philipsen Prahm; Ib Jarle Christensen; Claus K Høgdall; Estrid V Høgdall
Journal:  PLoS One       Date:  2019-11-18       Impact factor: 3.240

4.  Risk factors for early death among ovarian cancer patients: a nationwide cohort study.

Authors:  Berit Jul Mosgaard; Amani Meaidi; Claus Høgdall; Mette Calundann Noer
Journal:  J Gynecol Oncol       Date:  2019-12-19       Impact factor: 4.401

5.  Survival and recurrence in stage II endometrial cancers in relation to uterine risk stratification after introduction of lymph node resection and omission of postoperative radiotherapy: a Danish Gynecological Cancer Group Study.

Authors:  Gitte Ørtoft; Claus Høgdall; Estrid S Hansen; Margit Dueholm
Journal:  J Gynecol Oncol       Date:  2019-10-04       Impact factor: 4.401

6.  Exploring international differences in ovarian cancer treatment: a comparison of clinical practice guidelines and patterns of care.

Authors:  Charles H Norell; John Butler; Rhonda Farrell; Alon Altman; James Bentley; Citadel J Cabasag; Paul A Cohen; Scott Fegan; Michael Fung-Kee-Fung; Charlie Gourley; Neville F Hacker; Louise Hanna; Claus Kim Høgdall; Gunnar Kristensen; Janice Kwon; Orla McNally; Gregg Nelson; Andy Nordin; Dearbhaile O'Donnell; Tine Schnack; Peter H Sykes; Ewa Zotow; Samantha Harrison
Journal:  Int J Gynecol Cancer       Date:  2020-08-11       Impact factor: 3.437

7.  Noncoding RNA (ncRNA) Profile Association with Patient Outcome in Epithelial Ovarian Cancer Cases.

Authors:  Douglas V N P Oliveira; Kira P Prahm; Ib J Christensen; Anker Hansen; Claus K Høgdall; Estrid V Høgdall
Journal:  Reprod Sci       Date:  2020-10-30       Impact factor: 3.060

8.  Integrated microRNA and mRNA signatures associated with overall survival in epithelial ovarian cancer.

Authors:  Joanna Lopacinska-Jørgensen; Douglas V N P Oliveira; Guy Wayne Novotny; Claus K Høgdall; Estrid V Høgdall
Journal:  PLoS One       Date:  2021-07-28       Impact factor: 3.240

  8 in total

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