2026 · The Lancet Oncology
Global burden of cancer attributable to infections in 2024: a worldwide incidence analysis
Verdict
UNSCIENTIFIC
Neither the paradigm nor the study inside it passes. The verdict is unscientific.
1·Study methodology · inside the paradigm
UNSCIENTIFIC
Does not follow the scientific method within Germ Theory / Virology.
2·Paradigm · Germ Theory / Virology
UNSCIENTIFIC
Fails the tests. The worse layer decides.
How the verdict is decided
The verdict grades both layers: the paradigm this study assumes, and how the study was carried out inside it. Both must be scientific for the whole thing to be scientific. A clean method inside an unscientific paradigm is unscientific. An unscientific method inside a better paradigm is unscientific. A split on either layer is mixed. The worse layer decides.
1·Study methodology
Did this study test its claim with methods that are independent, falsifiable, and non-circular?
UNSCIENTIFIC
This study claims that infections caused 2.3 million new cancers worldwide in 2024, 12% of all cases, mostly from a stomach bacterium and HPV, and that vaccines and testing would prevent them. All three tests fail.
Independently Verifiable
Fail
Registries counted cancers, but the step that made a case an infection case was a lab signal in tumor tissue or blood, read as a microbe and then turned into a percentage.
Falsifiable
Fail
Any infection rate the tests found would just become a bigger or smaller share of cases, and cervical cancer was set at 100% from the start, so no outcome could show these cancers are not infection-caused.
Non-Circular
Fail
The carcinogen list came from studies that found these microbes in tumors, and this paper turns the same finding into the share of cancer the microbes cause.
Why
They started with registry counts of new cancers in 2024 for each site, country, sex and age group. For each infection and cancer pair they took a percentage from earlier studies. Those studies found the microbe by running tumor tissue or blood through tests built from sequences of the microbes the model had already named. The percentage came from how often the tests were positive in cancer patients. For HIV they used how common it is in the population. They multiplied each percentage by the case count and added everything up to 2.3 million. They gave no uncertainty ranges, saying no reliable method existed. The number was then used to argue for vaccines and screening. Cancers are counted. Which cancers a microbe caused was assumed, never observed.
2·Paradigm · Germ Theory / Virology
Does the framework this study assumes pass the three tests?
UNSCIENTIFIC
Independently Verifiable
Fail
The bacterium and the viruses show up only as test signals and tissue stains, which the model reads as agents inside a tumor, and nobody watched one produce a cancer.
Falsifiable
Fail
Microbe present with no cancer becomes a carrier, and cancer with no microbe becomes a cofactor or a missed detection, so neither result can count against the claim.
Non-Circular
Fail
Detection tests are built from sequences of the agents the theory names, and their positive results are then used to show those agents cause disease.
Why
The framework says a microbe found in a sick person is the cause of the sickness. Here that means a signal from a test built to find a named microbe, read in tumor tissue, becomes the cause of the cancer. The framework does not ask what damaged the tissue in the first place. A person with the signal and no cancer is explained as a carrier or a latent infection. A cancer without the signal is explained as another cause or a testing limit. Every outcome fits, so no result could count against the framework. Its tools come from its own claims: sequences of the named agents become the tests, and the positive tests become proof of the agents' role.
From the study
As previously described, PAFs were primarily estimated from the prevalence of infection in people with cancer, with the exception of HIV, for which population-based prevalence was used
Uncertainty intervals were not estimated for cases, ASIR, or PAF because we did not identify a reliable approach to adequately incorporate the heterogeneity of data sources and methods underlying the cancer incidence and PAF estimates.
HPV-attributable cases were predominantly cervix uteri carcinoma (600 000, 100% of cervical cancer cases).
We calculated PAFs according to specific methodologies for each of the 37 causal infection–cancer pairs