Current Cancer Screening Issues

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    Cancer Screening:

    A Updated Primer for

    Journalists

    Kenny Lin, MD, MPHAssociate Professor of Family Medicine

    Associate Deputy Editor,American Family Physician

    December 8, 2014

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    Disclosures

    I receive salary, royalties, or consulting incomefrom the following sources: MedStar Health,American Academy of Family Physicians,

    John Wiley and Sons, UpToDate, WebMD,

    Business Health Services

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    The 2009 Mammography Firestorm

    http://www.foxnews.com/index.html
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    Science Communication and the

    Importance of Context

    The U.S. Preventive Services Task Forcerecommends against routine screeningmammography age 40 to 49 years.

    Message to clinicians: practice shared decision-making, screen based on patient preferences

    Message to the public: a government taskforce prominent in Obamacare legislative

    proposals wants to ration mammograms!

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    Evaluating cancer screening tests

    The ability to detect asymptomatic cancer is anecessary, but not sufficient, quality of a goodscreening test.

    Is cure possible in those whom it is necessary?

    Is cure necessary in those whom it is possible?

    Willet F. Whitmore, Jr., MD

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    Potential harms of cancer

    screening False positives

    psychological harm, physical harm from workup (eg breastor prostate biopsy)

    False negatives falsely reassuring, may encourage unhealthy behaviors (eg

    continued smoking)

    Overdiagnosisdiscovery of pseudodisease thatwill not cause symptoms in the patients lifetime

    leads to unnecessary treatment and exposure to harms oftreatment (eg surgical complications)

    Opportunity costs may crowd out more effective preventive services

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    Journalists can help people understand

    and deal with the clash between:

    Science

    Evidence

    Data Recommendations for

    entire population

    What we can prove

    Grasping uncertainty andhelping people applycritical thinking todecision-making issues

    Intuition

    Emotion

    Anecdote Decision-making by an

    individual

    What we believe, wish, or hope

    Promoting false certainty andnon-evidence-based,cheerleading advocacy

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    Pitfalls of cancer screening because

    it just makes sense

    Breast self-exams to detect breast cancer

    Chest x-rays to detect lung cancer

    Urinalyses to detect bladder cancer

    Pelvic exams to detect ovarian cancer

    Testicular exams to detect testicular cancer

    None of these tests are beneficial, and mostare actually harmful.

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    Increasing 5-year survival rates do not

    always correlate with fewer deaths

    Welch et al. (JAMA, 2000) compared 5-year cancersurvival and mortality statistics in U.S. in 1950-54 and1989-1995

    Prostate cancer 5-year survival increased from 43 to 93percent, but mortality ROSEby 10 percent

    Melanoma 5-year survival increased from 49 to 88percent, but mortality ROSEby 161 percent

    Kidney cancer 5-year survival increased from 34 to 61percent, but mortality ROSEby 37 percent

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    Lead Time Bias:

    Improving 5-Year Survival Is Not Enough

    Death from prostate

    cancer

    SymptomsAppear

    Situation 1: Not Screened

    Survival Time

    Situation 2

    Survival Time

    Situation 3

    Survival Time

    Death

    = Lead Time= Life Extended

    Found Early

    by Screening

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    Example: Prostate Cancer

    Why is the net benefit of screening so

    small?

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    Prostate cancer - background

    >200,000 new diagnoses each year

    2ndleading cause of cancer death in U.S. men

    ~28,000 deaths in attributed to prostate cancerin U.S. in 2011

    1 in 6 men will be diagnosed in their lifetimes,

    but only 1 in 33 will die from prostate cancer

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    Number of Additional Men Diagnosed and Treated

    Since Start of PSA Screening Era

    Welch JNCI, 2009

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    Woloshin, S. et al. J. Natl. Cancer Inst. 2008 100:845-853; doi:10.1093/jnci/djn124

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    The parable of the British WWII

    fighter armorers

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    The parable of the British WWII

    fighter armorers

    Too many fighter planes were being shot down

    Armor-plating the whole plane would make ittoo heavy to flyso where to put the armor?

    The mechanics went out to the airfield andproposed putting armor where the bullet holestended to cluster.

    But the statisticians disagreed.

    These are the planes that came back. Put the

    armor where the bullet holes arent!

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    The meaning of this analogy

    We care less about finding survivable

    cancers with screening tests

    We care more about finding cancers that, ifnot detected prior to the onset of

    symptoms, are likely to be lethal

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    Overdiagnosis: Cancer Is Not All the Same

    Death from Other Causes Death from Other Causes

    Progre

    ssion

    ofDisease

    Disease Not

    Detectable

    Patient 1

    Detectable

    Presymptomatic

    Phase

    Symptomatic Phase

    Remaining Expected Lifetime

    Patient 2

    Patient 4

    Patient 3

    Death From Prostate Cancer

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    Example: Breast Cancer

    The case against reflexive screening,

    especially in younger women

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    Screening mammography

    In randomized controlled trials, biennialscreening mammography lowered breast cancerdeaths by 15 to 25 percent

    For simplicitys sake, lets assume that the

    correct figure is 20 percent

    Why wouldnt recommending routine

    mammography be a no-brainer?

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    Exaggerating effect size

    Absolute vs. Relative Risk

    Two ways of saying the same thing

    One wayrelative risk reductionmakes

    effect size seem larger

    Other wayabsolute risk reductionmakeseffect size seem smaller

    Most medical journal editors prefer to useabsolute risk reduction

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    You must ask: 20% of what?

    The of what? is the absolute risk.

    When youre only told the relative risk 20% - itcould be risk reduction from 500 in 1000 downto 400 in 1000so 100 benefit.

    Or it could be from 5 in 1000 to 4 in 1000.so

    only 1 benefits.

    You want to know the absolute size of theeffect, not just one relative to another.

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    Magnitude of mammographybenefits by age group

    Age Trials

    included,

    n

    RR for Breast Cancer

    Mortality (95% CrI)

    NNI to Prevent 1

    Breast Cancer Death

    (95% CrI)

    39-49 y 8 0.85 (0.75-0.96) 1904 (929-6378)

    50-59 y 6 0.86 (0.75-0.99) 1339 (322-7455)

    60-69 y 2 0.68 (0.54-0.87) 377 (230-1050)

    70-74 y 1 1.12 (073-1.72) Not available

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    Weighing Harms and Benefits

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    Annual mammography in a group of

    2000 women age 40-49 years

    Benefits

    1 woman will avoid dyingfrom breast cancer

    Harms

    2-10 women will beoverdiagnosed and receiveunnecessary treatment

    1200 women will have atleast one false alarm

    140-180 women will have atleast one biopsy for a falsealarm

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    Example: Lung Cancer

    Why reducing deaths in a randomized

    trial doesnt (necessarily) meanscreening should become routine

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    National Lung Screening Trial

    Randomized study beginning in 2002 Compared low-dose CT with CXR screening in

    53,000 current or former heavy smokers (at

    least 30 pack-years) age 55-74 By October 2010, 354 lung Ca deaths had

    occurred in the CT arm vs. 442 lung Ca deathsin the CXR arm (20% relative risk reduction)

    National Cancer Institute announced results ata press conference held Nov. 4, 2010

    Published inNew England Journal of MedicineAugust 2011

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    Prevention for Profit

    Georgetown University CT scans

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    Responses from lung cancer screening

    advocates

    Are you kidding me? The title of your blog postalone is incredibly irresponsible.

    As a doctor, I would think your #1 priority would beto try to save lives by doing more than preachingabout smoking.

    My lung cancer was caught at [stage] 2B by my GPin an x-ray. Thank God my doctors have morecommon sense than this. The same flawed argument

    was made about mammograms. Dr. Lin, I hope none of your patients take your

    advice. You are stupid. End of story.

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    Absolute benefit of screening

    varies by baseline cancer risk

    20% reduction in lung cancer deaths is arelativerisk reduction

    On average in NLST, needed to screen 320people to prevent one lung cancer death

    Highest-risk: 1 in 100 benefit

    Lowest-risk: 1 in 5000 benefit

    No single accepted risk prediction tool

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    Potential harms of screening for

    lung cancer

    Risk of developing cancer from multiple CTscans

    False positives extremely common

    Anxiety

    Invasive biopsies

    Incidental findings

    Overdiagnosis and overtreatment

    Surgical and perioperative mortality

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    Why the NLST results may not be

    achieved in clinical practice

    Healthy volunteer bias: participants werehealthier and more adherent to screening andfollow-up than the general population

    Screenings were performed at high-volumeacademic medical centers with strict protocols

    Unclear if benefits & harms similar in

    community settings, where a majority ofbiopsies of pulmonary nodules are for benigndisease and lung resection has higher mortality

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    AAFP: More evidence is needed

    on lung cancer screening

    TheAAFP had significant concern withbasing such a far reaching and costlyrecommendation on a single study.

    A shared-decision-making discussion betweenthe clinician and patient should occur regardingthe benefits and potential harms of screening for

    lung cancer. The long term harms of radiationexposure from necessary follow-up full dose CTscans are unknown.

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    Review criteria: Does the storyexplain Whats the total cost?

    How often do benefits occur?

    How often do harms occur?

    How strong is the evidence?

    Are there alternative choices?

    Is the condition exaggerated?

    Is this really a new approach?

    Is it available?

    Whos promoting this?

    Do they have a financial conflict of interest?

    69%

    66%

    65%

    61%

    57%

    Percent

    unsatisfactoryafter 1,889

    story reviews

    7 years

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    Acknowledgement

    Thanks to HealthNewsReview.org publisher andindependent journalist Gary Schwitzer forgranting permission to use/adapt Slides #8, 26-

    27, and 40-42 of this presentation.

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    Thanks for your

    attention!

    Questions?