More skeptical people offer an alternate narrative. Cancer incidence and mortality rates are increasing for some cancers. They are decreasing for others, but the credit goes to social factors like smoking cessation and not to medical advances. Survival rates are increasing only because cancers are getting detected earlier. Suppose a certain cancer is untreatable and will kill you in ten years. If it’s always discovered after seven years, five-year-survival-rate will be 0%. If it’s always discovered after two years, five-year-survival-rate will be 100%. Better screening can shift the percent of cases discovered after seven years vs. two years, and so shift the five-year-survival rate, but the same number of people will be dying of cancer as ever.
This post tries to figure out which narrative is more accurate. """
Smoking cessation is clearly an advancement in public health. We've definitely gotten better at getting people to quit smoking (and helping them to do so).
In this context, I read "medical advancement" as "increased effectiveness of medical intervention". Under that interpretation, it's dubious to claim it is an advancement. I mention this as the definition since it constitutes how helpful it is to visit a physician.
Another interpretation would be that the advancement of "knowing smoking cessation is a good idea" is fairly old at this point, and most have agreed on it for decades.
In first world countries, death is caused by very roughly 1/3 heart diseases, 1/3 cancer, 1/3 others. More heart diseases mean less cancer and vice versa.
5 year survival may be a good metric though.
At the end he wished he had never been diagnosed, then he probably would have had a decent half year or so.
It is generally helpful to track statistics by stage, but stage is just one of MANY factors.
For most cancer staging, anatomic thresholds remain the gold standard of staging. For many lymphomas and leukemias, and certain solid tumors, there are some specific genetic tidbits we have been able to tease out.
Sequencing by synthesis, whole slide imaging, mass spec, and just simple inventory control (e.g. barcoding specimens, blocks, and slides) are likely to significantly improve cancer care. Probably the biggest gains will be from barcoding samples. At some point in the distant future we'll have sufficient control of the inventory problem to actually do meaningful epidemiological studies where we can fluidly move through population data, prescribing and procedure data, anatomic data, histologic data, and finally into the molecular realms of mass spec and sequencing. But I think a lot of people think "We can just sequence this tumor and prescribe the appropriate drug." But that totally misses the problem that you run into, where you very quickly end up with a study population of N=1 for a lot of things.
I think a growing number of researchers at the ground level understand this is going to involve many, many classes of very, very large data problems.
But roughly you have pathologic staging (microarchitecture, genetics, etc.) and anatomical/clinical staging (size, laterality, lymph nodes, etc.). Those are distinct.
So what you say is not completely incorrect, but it's not really correct either.
We can, however, compensate for lead-time bias by tracking survival based upon the stage of the cancer (a measure of how advanced the cancer is)
For example, I'm going to die to age for. Detecting the cancer at 38 makes it look like I survived 2 yrs; detect it at 35 and it looks like I survived 5 years. But either way I'm still dead at 40.
https://sciencebasedmedicine.org/the-early-detection-of-canc...
Excerpt:
This earlier detection can also lead to an overestimation of the efficacy of treatment. That’s the grain of truth in the comment above. The reasons for this are two types of bias in treatment studies known as lead time bias and length bias. In the case of cancer, survival is measured from the time of diagnosis. Consequently, if the tumor is diagnosed at an earlier time in its course through the use of a new advanced screening detection test, the patient’s survival will appear to be longer, even if earlier detection has no real effect on the overall length of survival, as illustrated below:...
Unless the rate of progression from the point of a screen-detected abnormality to a clinically detected abnormality is known, it is very difficult to figure out whether a treatment of the screen-detected tumor is actually improving survival when compared to tumors detected later. To do so, the lead time needs to be known and subtracted from the group with the test-based diagnoses. The problem is that the use of the more sensitive detection tests usually precede such knowledge of the true lead time by several years. The adjustment for lead time assumes that the screening test-detected tumors will progress at the same rate as those detected later clinically. However, the lead time is usually stochastic. It will be different for different patients, with some progressing rapidly and some progressing slowly. This variability is responsible for a second type of bias, known as length bias.
Length bias refers to comparisons that are not adjusted for rate of progression of the disease. The probability of detecting a cancer before it becomes clinically detectable is directly proportional to the length of its preclinical phase, which is inversely proportional to its rate of progression. In other words, slower-progressing tumors have a longer preclinical phase and a better chance of being detected by a screening test before reaching clinical detectability, leading to the disproportionate identification of slowly progressing tumors by screening with newer, more sensitive tests.
https://fivethirtyeight.com/features/the-case-against-early-...
>What’s clear is that cancers fall into a few general behavior patterns, which Welch and others have compared to animals that must be kept in the barnyard to prevent a deadly rampage. Papillary tumors are like turtles — they move very slowly and never pose an escape risk. They don’t need screening, because they will never cause trouble. Then there are rabbits, which are eager to hop away to other parts of the body, but can be confined if they’re found and fenced. These are the cancers that can be helped by early detection and treatment. Birds, on the other hand, are so flighty and quick that they can’t be confined. Screening makes no difference for bird cancers, because they’re so aggressive that they can’t be detected before they’ve begun their deadly course.
>No cancer screening has ever eliminated the majority of cancer deaths. Instead, the best screening can do is reign in the rabbits. Birds remain unstoppable, and they’re the ones responsible for most cancer deaths. This is why, Welch says, three decades of mammography have failed to put a dent in the rate of women presenting with metastatic breast cancer upon their initial diagnosis. Women with breast cancers that behave like birds will almost never be helped by a mammogram, nor will men with the most aggressive prostate cancers be saved by PSA tests.