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Age and Referral Route Impact the Access to Diagnosis for Women with Advanced Ovarian Cancer.

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Τίτλος: Age and Referral Route Impact the Access to Diagnosis for Women with Advanced Ovarian Cancer.
Συγγραφείς: Norbeck, Anna, Asp, Mihaela, Carlsson, Tobias, Kannisto, Päivi, Malander, Susanne
Πηγή: Journal of Multidisciplinary Healthcare; May2023, Vol. 16, p1239-1248, 10p
Θεματικοί όροι: Ovarian cancer, Electronic health records, Diagnosis, Ovarian epithelial cancer, Cancer patients, University hospitals
Γεωγραφικοί όροι: Sweden
Περίληψη: Purpose: The majority of women with ovarian cancer are diagnosed in late stages. Most women do have symptoms prior to diagnosis, sometimes several months before the diagnosis. The aim of this study was to evaluate the timeline from the first presentation of symptoms to a physician until there is a reasonable suspicion of cancer, among women diagnosed with advanced stage ovarian cancer. We wanted to investigate which symptoms were the most common and whether there are other factors affecting the time interval before the suspicion of cancer was confirmed. Patients and Methods: This was a retrospective population-based cohort study of women diagnosed with advanced ovarian cancer between January 1, 2017 and December 31, 2019 who were referred to Skane University Hospital Lund, Sweden. Data were collected from electronic medical records at Skane University Hospital. The time interval was recorded as the time from first physician consultation with predefined symptoms to the date when there was a reasonable suspicion of ovarian cancer. Data processing and statistical analysis were performed with the statistical software R. Results: Among the 249 patients included in this study, the median time interval from the first consultation to the reasonable suspicion of cancer was 24 days. The first consultation in specialized care had a 70% decrease in delay compared to primary care. Emergency consultations had a 52.2% decrease in time delay compared to planned consultations. Older age was associated with an increase in the geometric mean by 54.7%, comparing the first to the third quartile. The most common symptom was abdominal pain. Conclusion: The length of time interval from first presentation with symptoms relating to ovarian cancer to reasonable suspicion of cancer was associated with whether the consultation was in primary or specialized care, emergency or planned visit and the patient's age. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Multidisciplinary Healthcare is the property of Dove Medical Press Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Βάση Δεδομένων: Complementary Index
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  Data: Age and Referral Route Impact the Access to Diagnosis for Women with Advanced Ovarian Cancer.
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  Data: <searchLink fieldCode="DE" term="%22Ovarian+cancer%22">Ovarian cancer</searchLink><br /><searchLink fieldCode="DE" term="%22Electronic+health+records%22">Electronic health records</searchLink><br /><searchLink fieldCode="DE" term="%22Diagnosis%22">Diagnosis</searchLink><br /><searchLink fieldCode="DE" term="%22Ovarian+epithelial+cancer%22">Ovarian epithelial cancer</searchLink><br /><searchLink fieldCode="DE" term="%22Cancer+patients%22">Cancer patients</searchLink><br /><searchLink fieldCode="DE" term="%22University+hospitals%22">University hospitals</searchLink>
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– Name: Abstract
  Label: Abstract
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  Data: Purpose: The majority of women with ovarian cancer are diagnosed in late stages. Most women do have symptoms prior to diagnosis, sometimes several months before the diagnosis. The aim of this study was to evaluate the timeline from the first presentation of symptoms to a physician until there is a reasonable suspicion of cancer, among women diagnosed with advanced stage ovarian cancer. We wanted to investigate which symptoms were the most common and whether there are other factors affecting the time interval before the suspicion of cancer was confirmed. Patients and Methods: This was a retrospective population-based cohort study of women diagnosed with advanced ovarian cancer between January 1, 2017 and December 31, 2019 who were referred to Skane University Hospital Lund, Sweden. Data were collected from electronic medical records at Skane University Hospital. The time interval was recorded as the time from first physician consultation with predefined symptoms to the date when there was a reasonable suspicion of ovarian cancer. Data processing and statistical analysis were performed with the statistical software R. Results: Among the 249 patients included in this study, the median time interval from the first consultation to the reasonable suspicion of cancer was 24 days. The first consultation in specialized care had a 70% decrease in delay compared to primary care. Emergency consultations had a 52.2% decrease in time delay compared to planned consultations. Older age was associated with an increase in the geometric mean by 54.7%, comparing the first to the third quartile. The most common symptom was abdominal pain. Conclusion: The length of time interval from first presentation with symptoms relating to ovarian cancer to reasonable suspicion of cancer was associated with whether the consultation was in primary or specialized care, emergency or planned visit and the patient's age. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of Multidisciplinary Healthcare is the property of Dove Medical Press Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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            – D: 01
              M: 05
              Text: May2023
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              Y: 2023
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