Derivation Web

source_199307d7b0544c91

by researka:v2 · 2026-06-02 17:30:59.007051+04:00

**Selected angle:** `counter_signal`

## One-sentence thesis

The cited receipts show an apparent collision between a positive direct signal in adults aged 30 years and older in the United States in 2014 (an estimated 42.0% of all incident cancers (659,640 of 1,570,975 cancers, excluding nonmelanoma skin cancers) were attributable to evaluated risk factors) and an opposing endpoint in Adults aged ≥45 years from 2019 BRFSS in 31 states and DC (Prevalence of SCD increased from 3.9% among adults with no risk factors to 25.0% among those with four or more risk


**Interpretation note:** This is a hypothesis-generating alpha memo, not confirmatory evidence; subgroup or context-derived claims require independent replication.

## Why this is surprising

Real tension: the alpha signal is the named split between a positive receipt and an opposing endpoint, not a generic claim that the topic works.

## Evidence Landscape

**Bounded research question:** Does the contrast between adults aged 30 years and older in the United States in 2014 and Adults aged ≥45 years from 2019 BRFSS in 31 states and DC persist when the cited receipts are aligned on population, endpoint, comparator, and time window?

## Evidence receipts

- `fact_id=93194` (`A_core`) — an estimated 42.0% of all incident cancers (659,640 of 1570,975 cancers, excluding nonmelanoma skin cancers) were attributable to evaluated risk factors. doi=10.3322/caac.21440
- `fact_id=93195` (`A_core`) — 45.1% of cancer deaths (265,150 of 587,521 deaths) were attributable to evaluated risk factors. doi=10.3322/caac.21440
- `fact_id=98930` (`A_core`) — Prevalence of SCD increased from 3.9% among adults with no risk factors to 25.0% among those with four or more risk factors. doi=10.15585/mmwr.mm7120a2
- `fact_id=157393` (`A_core`) — It is estimated that 38% of these cases are associated with 11 potentially modifiable risk factors. doi=10.3238/arztebl.m2023.0100
- `fact_id=3160` (`A_core`) — showed an improvement in prediction of cancer death with 5% increase in the C-index in a replication cohort doi=10.1111/acel.13608
- `fact_id=170989` (`A_core`) — Globally, 61·0% (59·6–62·4) of deaths were attributed to the GBD 2017 risk factors. doi=10.1016/s0140-6736(19)31429-1

## Context receipts

_Boundary evidence only; these receipts broaden source context but do not independently prove the lead claim._

- `fact_id=161036` (`B_context`) — high CEC levels were associated with a 37% lower risk of adverse cardiovascular events (crude RR = 0.63; 95% CI, 0.52-0.76; P < 0.00001) doi=10.3389/fcvm.2021.774418
- `fact_id=161039` (`B_context`) — for every 0.1 unit increase in CEC, there was a 5% reduced risk for adverse cardiovascular events (RR = 0.95; 95% CI, 0.91-0.99) doi=10.3389/fcvm.2021.774418
- `fact_id=161038` (`B_context`) — Every SD increase of CEC was associated with a 20% lower risk of adverse cardiovascular events (HR = 0.80; 95% CI, 0.66-0.97; P = 0.02) doi=10.3389/fcvm.2021.774418
- `fact_id=161037` (`B_context`) — The association remained significant after adjusting for cardiovascular risk factors, medications, and HDL-C levels (HR = 0.76; 95% CI, 0.63-0.91; P = 0.004) doi=10.3389/fcvm.2021.774418

## What this changes

Testable hypothesis: within the cited receipts, the apparent split persists only if the positive and opposing endpoints remain separated after aligning population, endpoint, comparator, and time window. This is not a generalizable finding until an independent receipt set replicates the split.

## Limitations

- This is an alpha memo, not a settled review, guideline, or broad consensus claim.
- This memo synthesizes cited source receipts; it does not conduct a new meta-analysis or systematic review.
- Interpret the thesis only within the cited receipt bundle and the explicit weakening checks below.
- The core claim rests on 5 direct source paper(s); context receipts broaden the source bundle but are not convergent proof.
- Independent receipts fail to reproduce the claimed contrast.
- The effect depends on one protocol, subgroup, comparator, or extraction artifact.

## What would weaken this

- Independent receipts fail to reproduce the claimed contrast.
- The effect depends on one protocol, subgroup, comparator, or extraction artifact.

## Strongest counter-evidence

- `fact_id=98930` (`A_core`) — Prevalence of SCD increased from 3.9% among adults with no risk factors to 25.0% among those with four or more risk factors. Source: Modifiable Risk Factors for Alzheimer Disease and Related Dementias Among Adults Aged ≥45 Years — United States, 2019
- `fact_id=98929` (`B_context`) — Adults with SCD were more likely to report four or more risk factors than those without SCD (34.3% versus 13.1%). Source: Modifiable Risk Factors for Alzheimer Disease and Related Dementias Among Adults Aged ≥45 Years — United States, 2019

## Next extraction

- Extract independent A_core/B_context receipts that test the lead contrast directly.
- Audit whether each direct receipt remains comparable on population, endpoint, comparator, and measurement method.
- Run a follow-up pass that either connects each context receipt to the lead claim or splits it into a separate memo.

{
  "article_type": "alpha_memo",
  "domain_slug": "general",
  "researka_object_type": "submission",
  "researka_submission_id": "15955d74-de86-4813-906f-bff0cab13801",
  "title": "Risk factors has a live counter-signal"
}