#133 - Vinay Prasad, M.D., M.P.H: Hallmarks of successful cancer policy
- Guest
- Vinay Prasad
- Read time
- ~5 min
- Uploaded
- 19 Oct 2020
- Duration
- 2:12:04
- Views
- 4.7K
KEYPOINTS
- 01
Medical reversal: widely used practices that turn out not to work
Prasad, a haematologist-oncologist and meta-researcher at UCSF and author of Ending Medical Reversal and Malignant, came to the idea as a resident. He noticed practices that ran against the best evidence. As a resident he managed stent patients after the procedure and saw the complications. Meanwhile the large COURAGE trial had found that stents in stable disease didn't reduce heart attacks or extend life. He and colleagues called this pattern 'medical reversal': plausible biology plus observational data, later overturned by randomised trials.
- 02
Sham-controlled trials separate the procedure from the ritual
Arthroscopic knee surgery beats physical therapy or ibuprofen, but not a sham operation in which the surgeon inserts the scope and does nothing. The same holds for cement injections into osteoporotic vertebral fractures, some shoulder procedures and, Prasad believes, stenting for chronic stable angina (the ORBITA trial). Much of the benefit comes from reassurance and the patient's belief that something was fixed.
- 03
Stents are 'seductive' because both patient and doctor feel rewarded
Patients come back grateful, convinced their life was saved and that shovelling the driveway hurts less. That feedback reinforces the procedure even when trials show no hard benefit. Prasad says this disconnect between what patients think a treatment does and what doctors know it does recurs across medicine.
- 04
Structural problem 1: huge costs for small gains
In an analysis by Fojo and colleagues, 71 consecutive drugs approved for solid cancers improved survival by an average of 2.1 months. Prasad says two months can matter a great deal to someone, but the result should come with a lower price. Attia recalls a drug that added 0.7 months, about 20 days, at roughly $38,000. Compared with 1960 or 1970, someone with metastatic breast cancer in 2020 is not dramatically better off, Prasad argues, while surgical outcomes like the Whipple procedure and the move away from radical mastectomy have improved.
- 05
Structural problem 2: approvals rest on weak surrogate endpoints
Progression-free survival and response rate often stand in for living longer or better. 'Progression' means the tumour has grown 20% from its smallest size. At 19% the disease is 'stable', at 21% it has progressed: an arbitrary cut-off that often doesn't track how patients feel. The 30% shrinkage needed to count as a 'response' goes back to a 1976 Mayo Clinic exercise in which doctors measured marbles through foam rubber. Prasad questions why so much weight is put on drugs with 10–20% response rates.
- 06
Structural problem 3: the people choosing don't pay
Patients and doctors decide while insurers, governments and employers pay. Prasad compares it to a Saudi friend who left his air conditioning running all summer because energy was subsidised. When someone else pays, cost stops affecting choices. In the UK, NICE declined drugs above a cost-effectiveness threshold, which Attia recalls as about £100,000.
- 07
Hallmark 1: independence from industry money
Patient advocacy groups are often heavily industry-funded. The most common employer for staff leaving the FDA is industry. Prasad calls expert oncologists, many of whom take payments, 'probably the biggest offender'. He thinks the profession won't police itself, because the most influential doctors receive the most payments. He would have guidelines written by experienced oncologists with no financial ties.
- 08
Hallmarks 2–3: evidence and relevance
Drugs should prove they help patients live longer or better, against the right control group. Trials should also enrol patients who look like the people who will actually get the drug. Trial participants tend to be younger and fitter, so real-world success rates are lower because the drug is less tolerable and response is poorer.
- 09
Hallmark 4: affordability
Prasad groups possible fixes into buckets. One he highlights is letting Medicare decline to pay for drugs. At the moment it must cover drugs recommended at level 2A or above by guidelines such as the NCCN's, whose authors are often industry-funded. He notes that some states asked HHS for permission to experiment with not covering every drug.
- 10
Hallmarks 5–6: possibility and agenda
Possibility means funding more bold science. The NIH budget of about $30 billion a year is 'not nearly enough', grant cycles favour incremental work, and Prasad suggests running randomised experiments on how grants are awarded. Agenda means looking at the whole trial landscape. Many trials test 'Coke, Pepsi and 18 other Cokes', near-identical low-promise drugs, and at p<0.05 some will come out positive by chance.
EXAMPLES
- 01
Hormone replacement and the Women's Health Initiative
Observational data from Harvard found that nurses on hormone therapy had less heart disease. Plausible biology and heavy promotion by Wyeth followed, and it became a multibillion-dollar treatment. The randomised Women's Health Initiative, around 2001–2002, was halted for more blood clots and cardiovascular events: the opposite of what was expected.
- 02
The CAST antiarrhythmic trial
Antiarrhythmic drugs suppressed post-heart-attack arrhythmias, and cardiologists felt it was unethical to withhold them. When a randomised trial (CAST) was finally run, the drugs increased the risk of death, and class 1C agents were largely abandoned. Prasad's lesson: smart, well-meaning people with sound biology and observational data can still be wrong.
- 03
POLO in pancreatic cancer
Patients whose disease was controlled on chemotherapy (FOLFIRINOX) stopped it and got either a targeted drug costing about $12,000 a month or a placebo. Progression-free survival improved but overall survival did not. Prasad argues the control arm should have continued the chemotherapy that was working, not a placebo.
- 04
Real wins exist
Gleevec for chronic myeloid leukaemia, which targets the single driver fusion, took median life expectancy from three to four years to near-normal in Swedish data. Prasad also calls treatments 'no-brainers' when the benefit is clear and the toxicity low or reversible. Attia notes that Avastin's first approval (around 2000–2002) was in colon cancer, at roughly $100,000 a year.
- 05
Press release before data on dexamethasone
When the UK announced that dexamethasone helped hospitalised COVID patients needing oxygen, Prasad pointed out that the published protocol showed a well-run trial. He was willing to act on it before the full paper and took criticism for doing so. His point was that the quality of the trial matters more than its format.
OTHER RELEVANT
- 01
Ask what a treatment does for survival and quality of life
With any new cancer drug, ask whether it helps people live longer or better, by how much, and compared with what. A hazard ratio of 0.7 in a press release says nothing about how long people lived or the side effects.
- 02
Be skeptical without being contrarian
Prasad's clinical stance is to do everything that adds something for the patient in the room, while being honest about weak evidence. When asked about expensive add-ons like hyperbaric oxygen protocols, his first question is how much they cost.
- 03
Watch for conflicts of interest
Ask whether an advocacy group or expert is funded by the companies whose products they recommend. Prasad admits that as a resident, sleep-deprived, he didn't see through drug-rep perks such as fancy branded pens.
- 04
Be cautious about 'game changers'
CAR-T and checkpoint inhibitors produce real, sometimes dramatic responses in some people. The open question is how much they help across all the conditions they are now being tried in.