E01¶


Research	R0002 — Research Standards for AI-Assisted Writing
Run	2026-03-13
Claim	C002
Source	SRC01
Evidence	SRC01-E01
Type	Factual

GRADE Separates Evidence Quality from Recommendation Strength

URL: Not captured — experimental run

Extract¶

The 2008 BMJ paper explicitly states: "Not all grading systems separate decisions regarding the quality of evidence from strength of recommendations. Those that fail to do so create confusion." GRADE deliberately separates these dimensions. The paper further notes that "high quality evidence doesn't necessarily imply strong recommendations, and strong recommendations can arise from low quality evidence."

Relevance to Hypotheses¶

Hypothesis	Relationship	Strength
H1	Supports	Strong — directly confirms the independence of axes as a central GRADE principle
H2	Contradicts	Strong — the primary source itself frames this as central, not just the researcher
H3	Neutral	N/A — addresses the "core insight" characterization, not numerical counts

Context¶

This is a direct quote from the seminal publication. The GRADE developers themselves frame the separation of evidence quality and recommendation strength as a deliberate and central design choice. Calling this GRADE's "core insight" is a reasonable characterization, though it is the researcher's specific phrase.

Notes¶

GRADE has been adopted by over 100 organizations worldwide including WHO, Cochrane, and CDC. The framework has become dominant in evidence-based medicine.