Friday, February 6, 2026
ISSN 2765-8767
  • Survey
  • Podcast
  • Write for Us
  • My Account
  • Log In
Daily Remedy
  • Home
  • Articles
  • Podcasts
    The Future of LLMs in Healthcare

    The Future of LLMs in Healthcare

    January 26, 2026
    The Future of Healthcare Consumerism

    The Future of Healthcare Consumerism

    January 22, 2026
    Your Body, Your Health Care: A Conversation with Dr. Jeffrey Singer

    Your Body, Your Health Care: A Conversation with Dr. Jeffrey Singer

    July 1, 2025

    The cost structure of hospitals nearly doubles

    July 1, 2025
    Navigating the Medical Licensing Maze

    The Fight Against Healthcare Fraud: Dr. Rafai’s Story

    April 8, 2025
    Navigating the Medical Licensing Maze

    Navigating the Medical Licensing Maze

    April 4, 2025
  • Surveys

    Surveys

    AI in Healthcare Decision-Making

    AI in Healthcare Decision-Making

    February 1, 2026
    Patient Survey: Understanding Healthcare Consumerism

    Patient Survey: Understanding Healthcare Consumerism

    January 18, 2026

    Survey Results

    Can you tell when your provider does not trust you?

    Can you tell when your provider does not trust you?

    January 18, 2026
    Do you believe national polls on health issues are accurate

    National health polls: trust in healthcare system accuracy?

    May 8, 2024
    Which health policy issues matter the most to Republican voters in the primaries?

    Which health policy issues matter the most to Republican voters in the primaries?

    May 14, 2024
    How strongly do you believe that you can tell when your provider does not trust you?

    How strongly do you believe that you can tell when your provider does not trust you?

    May 7, 2024
  • Courses
  • About Us
  • Contact us
  • Support Us
  • Official Learner
No Result
View All Result
  • Home
  • Articles
  • Podcasts
    The Future of LLMs in Healthcare

    The Future of LLMs in Healthcare

    January 26, 2026
    The Future of Healthcare Consumerism

    The Future of Healthcare Consumerism

    January 22, 2026
    Your Body, Your Health Care: A Conversation with Dr. Jeffrey Singer

    Your Body, Your Health Care: A Conversation with Dr. Jeffrey Singer

    July 1, 2025

    The cost structure of hospitals nearly doubles

    July 1, 2025
    Navigating the Medical Licensing Maze

    The Fight Against Healthcare Fraud: Dr. Rafai’s Story

    April 8, 2025
    Navigating the Medical Licensing Maze

    Navigating the Medical Licensing Maze

    April 4, 2025
  • Surveys

    Surveys

    AI in Healthcare Decision-Making

    AI in Healthcare Decision-Making

    February 1, 2026
    Patient Survey: Understanding Healthcare Consumerism

    Patient Survey: Understanding Healthcare Consumerism

    January 18, 2026

    Survey Results

    Can you tell when your provider does not trust you?

    Can you tell when your provider does not trust you?

    January 18, 2026
    Do you believe national polls on health issues are accurate

    National health polls: trust in healthcare system accuracy?

    May 8, 2024
    Which health policy issues matter the most to Republican voters in the primaries?

    Which health policy issues matter the most to Republican voters in the primaries?

    May 14, 2024
    How strongly do you believe that you can tell when your provider does not trust you?

    How strongly do you believe that you can tell when your provider does not trust you?

    May 7, 2024
  • Courses
  • About Us
  • Contact us
  • Support Us
  • Official Learner
No Result
View All Result
Daily Remedy
No Result
View All Result
Home Contrarian

Ovarian Cancer is Not a Silent Killer

The Conversation by The Conversation
April 3, 2024
in Contrarian
0
Ovarian Cancer is Not a Silent Killer

Ovarian cancer is not a silent killer – recognizing its symptoms could help reduce misdiagnosis and late detection

Ovarian cancer pain
Ovarian cancer is more likely to be cured with early diagnosis.
Pornpak Khunatorn/iStock via Getty Images Plus

Barbara Goff, University of Washington

Ovarian cancer is the most deadly of gynecologic tumors. Fewer than 40% of those diagnosed with ovarian cancer are cured, and approximately 12,810 people in the U.S. die from the disease every year.

For the past 25 years, scientists have tried to identify a screening test to detect ovarian cancer in its earliest stages, when the chance of cure is high. Unfortunately, multiple clinical trials with hundreds of thousands of participants have failed to identify an effective way to screen for ovarian cancer. In fact, the U.S. Preventive Services Task Force gave ovarian cancer screening a grade of D in 2018, meaning it recommends against periodic screening because it doesn’t improve survival and can prove harmful to patients.

Because no effective screening test currently exists, 70% of people with ovarian cancer are diagnosed at advanced stages, when chances of cure are poor. Around 60% to 90% of people with stage one or two cancer that stays around the ovaries and pelvis are disease-free five years after diagnosis, compared with only 10% to 40% of those with stage three or four cancer that has spread through the abdomen and beyond.

But even those with advanced disease have a higher chance of being cured if complete surgical removal is still possible. This makes early diagnosis all the more important for overall survival.

Without screening tests, many physicians wrongly assume that early diagnosis for ovarian cancer isn’t possible. As a gynecologic oncologist who treats hundreds of ovarian cancer patients each year, I was frustrated by these late diagnoses, and wondered if better recognition of its symptoms could help clinicians and patients identify ovarian cancer earlier.

Ovarian cancer is often misdiagnosed.

Detectable symptoms

Ovarian cancer has historically been called a “silent killer,” because clinicians thought its symptoms were undetectable. Patients were often diagnosed so late that doctors thought nothing could be done.

But there have been many studies over the past 20 years demonstrating that ovarian cancer does have early warning signs. My colleagues and I conducted one of the earliest studies in 2000. Our survey of 1,700 people with ovarian cancer found that 95% of patients reported noticeable symptoms three to 12 months before diagnosis. The most common symptoms were pain in their pelvis and abdomen, increased frequency and urge to urinate, difficulty eating or feeling full quickly, and bloating or abdominal distension.

Importantly, people with both advanced- and early-stage disease reported similar types of symptoms. Subsequent studies from multiple researchers further confirm that patients with even early-stage ovarian cancer experience frequent symptoms.

We also found that providers often misdiagnosed ovarian cancer as another condition. When we asked patients what their doctors told them was the cause of their symptoms, 15% had their symptoms attributed to irritable bowel disease, 12% to stress, 9% to gastritis, 6% to constipation, 6% to depression and 4% to some other cause. Thirty percent were given treatment for a different condition. And 13% were told there was nothing wrong.

One major issue has been distinguishing ovarian cancer symptoms from those of common gastrointestinal and urinary conditions. In another study, my team and I found that patients with ovarian cancer have symptoms with a recent onset and occur more than 50% of the month.

To facilitate early detection of ovarian cancer, my team and I compared the symptoms ovarian cancer patients experienced with those of patients without ovarian cancer. We developed an index that identified six important symptoms of ovarian cancer: bloating, increased abdominal size, feeling full quickly, difficulty eating, pelvic pain and abdominal pain. Symptoms needed to occur more than 12 times a month but to have lasted for less than a year.

Based on these criteria, our index was able to detect ovarian cancer in 60% to 85% of the patients in our study, a range similar to that achieved through diagnostic blood tests for ovarian cancer.

Person talking to doctor in exam room
Recognizing the symptoms of ovarian cancer could lead to earlier diagnosis.
FatCamera/E+ via Getty Images

Preventing ovarian cancer

While early detection is important, there are also prevention strategies that can help reduce the risk of developing ovarian cancer.

If you have a family history of ovarian cancer, inform your doctor, who may recommend genetic testing to fully determine your risk, or prophylactic surgery to prevent the development of cancer.

Oral contraceptives, tubal ligation (or surgery to close the fallopian tubes), pregnancy and breastfeeding all reduce the risk of ovarian cancer.

Finally, up to 70% of ovarian cancers may arise from the fallopian tubes. Removing the fallopian tubes at the time of another surgery may be another option to help reduce the risk of ovarian cancer. This should be done only if you do not plan on becoming pregnant in the future.

[Get fascinating science, health and technology news. Sign up for The Conversation’s weekly science newsletter.]

Barbara Goff, Professor of Obstetrics and Gynecology, University of Washington

This article is republished from The Conversation under a Creative Commons license. Read the original article.

ShareTweet
The Conversation

The Conversation

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

Videos

In this episode, the host discusses the significance of large language models (LLMs) in healthcare, their applications, and the challenges they face. The conversation highlights the importance of simplicity in model design and the necessity of integrating patient feedback to enhance the effectiveness of LLMs in clinical settings.

Takeaways
LLMs are becoming integral in healthcare.
They can help determine costs and service options.
Hallucination in LLMs can lead to misinformation.
LLMs can produce inconsistent answers based on input.
Simplicity in LLMs is often more effective than complexity.
Patient behavior should guide LLM development.
Integrating patient feedback is crucial for accuracy.
Pre-training models with patient input enhances relevance.
Healthcare providers must understand LLM limitations.
The best LLMs will focus on patient-centered care.

Chapters

00:00 Introduction to LLMs in Healthcare
05:16 The Importance of Simplicity in LLMs
The Future of LLMs in HealthcareDaily Remedy
YouTube Video U1u-IYdpeEk
Subscribe

AI Regulation and Deployment Is Now a Core Healthcare Issue

Clinical Reads

Ambient Artificial Intelligence Clinical Documentation: Workflow Support with Emerging Governance Risk

Ambient Artificial Intelligence Clinical Documentation: Workflow Support with Emerging Governance Risk

by Daily Remedy
February 1, 2026
0

Health systems are increasingly deploying ambient artificial intelligence tools that listen to clinical encounters and automatically generate draft visit notes. These systems are intended to reduce documentation burden and allow clinicians to focus more directly on patient interaction. At the same time, they raise unresolved questions about patient consent, data handling, factual accuracy, and legal responsibility for machine‑generated records. Recent policy discussions and legal actions suggest that adoption is moving faster than formal oversight frameworks. The practical clinical question is...

Read more

Join Our Newsletter!

Twitter Updates

Tweets by TheDailyRemedy

Popular

  • Powerful Phrases to Tell Patients

    Powerful Phrases to Tell Patients

    0 shares
    Share 0 Tweet 0
  • How Insurers Taught Patients to Shop

    0 shares
    Share 0 Tweet 0
  • Positions Currently in High Demand in the Medical Field

    0 shares
    Share 0 Tweet 0
  • The Future of Healthcare Law

    0 shares
    Share 0 Tweet 0
  • The Saga of Holy Trinity in a Criminal Trial

    0 shares
    Share 0 Tweet 0
  • 628 Followers

Daily Remedy

Daily Remedy offers the best in healthcare information and healthcare editorial content. We take pride in consistently delivering only the highest quality of insight and analysis to ensure our audience is well-informed about current healthcare topics - beyond the traditional headlines.

Daily Remedy website services, content, and products are for informational purposes only. We do not provide medical advice, diagnosis, or treatment. All rights reserved.

Important Links

  • Support Us
  • About Us
  • Contact us
  • Privacy Policy
  • Terms and Conditions

Join Our Newsletter!

  • Survey
  • Podcast
  • About Us
  • Contact us

© 2026 Daily Remedy

No Result
View All Result
  • Home
  • Articles
  • Podcasts
  • Surveys
  • Courses
  • About Us
  • Contact us
  • Support Us
  • Official Learner

© 2026 Daily Remedy