Ovarian Cancer Symptom Clusters: Use of the NIH Symptom Science Model for Precision in Symptom Recognition and Management.
Diane E Mahoney, Janet D Pierce
PMID 36108208WHAT IT FOUND
Ovarian cancer symptoms often cluster as bloating, pain, urinary or bowel changes, fatigue, anxiety, depression, and peripheral neurologic symptoms, and patients may not report them.
Structured symptom measures and EHR documentation can help nurses monitor and communicate these clusters.
Key findings
01Women with at least one symptom such as abdominal or pelvic pain, bloating, early fullness, urinary frequency, or fatigue had an increased likelihood of ovarian cancer.
02Higher ovarian cancer symptom burden was associated with lower quality-of-life scores and shorter progression-free survival.
03Some women experienced symptoms that were neither reported to healthcare providers nor recorded in the health record.
STILL TO COME
How it was doneWhat they foundWhat it means for RNs
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What it does not show
This is a review of existing studies, not a new trial of symptom assessment or management, so it cannot show that using the model improves outcomes. The review searched only CINAHL and PubMed and included only English articles, so relevant non-English studies may be missing. Only 24 articles met the inclusion criteria, and the authors state that published studies on ovarian cancer symptom clusters are limited. Symptom-associated biomarker work is described as early, and genomic databases are said to underrepresent underserved populations, so precision symptom prediction is not established. Patient-reported symptoms were sometimes not recorded in the health record, so the review may reflect communication and documentation gaps as well as true symptom patterns.
The easy way to misread this
Do not read this review as evidence that the NIH Symptom Science Model, patient-reported symptom measures, or electronic health record documentation improve ovarian cancer outcomes. It summarizes symptom clusters and practice ideas from published studies, not a tested intervention. Also, do not treat symptom screening questionnaires as a diagnostic test. The paper says they can trigger evaluation, but some researchers suggest screening alone may target too few women for workup, and biologic measures to differentiate symptom origin are absent.