Literature DB >> 15964871

Early symptoms of ovarian cancer: a case-control study without recall bias.

Gary D Friedman1, Jeffrey S Skilling, Natalia V Udaltsova, Lloyd H Smith.   

Abstract

BACKGROUND: Ovarian cancer is usually diagnosed after it has spread and is difficult to cure. Previous attempts to identify early symptoms have either lacked a control group or have been based on interviews of cases, with possible recall bias.
OBJECTIVE: The purpose of this study was to identify early symptoms of ovarian cancer by reviewing prediagnostic medical records, free of recall bias, and comparing women with and without ovarian cancer.
METHODS: In an integrated health care delivery system, symptoms recorded in medical records of 102 women with ovarian cancer during the two years before diagnosis were compared with those of 102 matched control women.
RESULTS: More cases than controls complained of several symptoms up to one year before diagnosis. Most of these symptoms were abdominal or gastrointestinal in nature and were more prevalent in the advanced stage cases. Other symptom sites included pelvic, urinary, back, and systemic. Because case-control differences were not large and prevalence is low, positive predictive values were generally quite low.
CONCLUSION: Previous reports of early symptoms of ovarian cancer were confirmed in a study with a control group and free of recall bias. It is not clear that these symptoms occurred while the disease was still localized. Because hundreds of women would have to be investigated to detect one case of ovarian cancer, the clinical utility of these symptoms is uncertain. Nevertheless, health care providers should keep ovarian cancer in mind, when women present with symptoms such as abdominal pain and bloating.

Entities:  

Mesh:

Year:  2005        PMID: 15964871     DOI: 10.1093/fampra/cmi044

Source DB:  PubMed          Journal:  Fam Pract        ISSN: 0263-2136            Impact factor:   2.267


  21 in total

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2.  Symptom triggered screening for ovarian cancer: a pilot study of feasibility and acceptability.

Authors:  Barbara A Goff; Kimberly A Lowe; Jeannette C Kane; Marissa D Robertson; Marcia A Gaul; M Robyn Andersen
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4.  Predictive value of symptoms for early detection of ovarian cancer.

Authors:  Mary Anne Rossing; Kristine G Wicklund; Kara L Cushing-Haugen; Noel S Weiss
Journal:  J Natl Cancer Inst       Date:  2010-01-28       Impact factor: 13.506

5.  Novel rodent model of breast cancer survival with persistent anxiety-like behavior and inflammation.

Authors:  Leah M Pyter; Lorena P Suarez-Kelly; William E Carson; Jasskiran Kaur; Joshua Bellisario; Savannah R Bever
Journal:  Behav Brain Res       Date:  2017-05-04       Impact factor: 3.332

Review 6.  Cancer diagnosis in primary care.

Authors:  William Hamilton
Journal:  Br J Gen Pract       Date:  2010-02       Impact factor: 5.386

7.  Relationships of uterine and ovarian tumors to pre-existing chronic conditions.

Authors:  Louise A Brinton; Lori C Sakoda; Kirsten Frederiksen; Mark E Sherman; Susanne K Kjaer; Barry I Graubard; Jorgen H Olsen; Lene Mellemkjaer
Journal:  Gynecol Oncol       Date:  2007-09-07       Impact factor: 5.482

Review 8.  Management of genetic syndromes predisposing to gynecologic cancers.

Authors:  Susan Miesfeldt; Amanda Lamb; Christine Duarte
Journal:  Curr Treat Options Oncol       Date:  2013-03

9.  A hospital-based case-control study of identifying ovarian cancer using symptom index.

Authors:  Mi-Kyung Kim; Kidong Kim; Sun Min Kim; Jae Weon Kim; Noh-Hyun Park; Yong-Sang Song; Soon-Beom Kang
Journal:  J Gynecol Oncol       Date:  2009-12-28       Impact factor: 4.401

10.  Risk of ovarian cancer in women with symptoms in primary care: population based case-control study.

Authors:  William Hamilton; Tim J Peters; Clare Bankhead; Deborah Sharp
Journal:  BMJ       Date:  2009-08-25
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