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Method

How we grade the research

Fascia research spans from light-microscope dissection work to randomised clinical trials. Reading an anatomical description is not the same as reading a meta-analysis — and a good reader should be able to see that. The grade helps you weigh a study in three seconds, not thirty.

Why we grade

Fascia is a relatively young research field, and the spread of quality is wide. Side by side you can find a well-conducted randomised multicentre trial and a hypothesis paper built on a handful of cadaver observations. Both can be interesting. They are not equally strong. The grade is how we let the reader see that difference without having to read the methods section from the top.

At a glance

Eight steps across three tiers: Top-tier (1A- and A-plus with three or four pluses), Strong (A+ and A++), and Baseline (A). The scale is backwards-compatible with the prior Fascia Research Database rubric.

The scale

Top-tier

1A+++Landmark
Multiple independent high-quality meta-analyses and clinical guidelines. Rare in fascia.
1A++Very strong
Systematic review with meta-analysis, large pooled n, low heterogeneity.
1A+Strong review
Systematic review or meta-analysis with clear inclusion criteria.
A++++Top-tier RCT
High-quality randomised controlled trial — pre-registered, adequately powered, blinded where applicable.
A+++Strong RCT
Randomised trial with reasonable sample size and low risk of bias.

Strong

A++Robust observational
Well-conducted cohort, cross-sectional or case-control study with low risk of bias.
A+Pilot or pre-clinical
Small clinical pilot, animal model, or well-conducted ex vivo work.

Baseline

ABaseline peer-reviewed
Narrative review, anatomical description, case series, or hypothesis paper in a peer-reviewed journal.
How a grade is assigned

The first pass is manual: an editor reads study type, sample size, registration status, and journal tier, and places the study on the scale. The numeric grade_score field is set at the same time and exists only for sorting — it is not a "score" in any clinical sense. Every grade is signed (who, when) in the research notes. We do not run an auto-grader — algorithms do not read studies, they read metadata.

Two examples side by side

Two studies from the library — the first at top-tier, the second at baseline. Click through for the full page with summary, notes, and PDF where available.

What we don't grade

Unpublished manuscripts, conference abstracts without a full paper, predatory journals, and anything not peer-reviewed. None of these appear in the library.

When we adjust

A grade can be downgraded for evident conflict of interest, very small sample size, or when subsequent work has superseded an earlier meta-analysis. Adjustments are logged in the notes on the study page.

Reading grades in context

A high grade does not mean a study is "true" — it means it is hard to dismiss. A low grade does not mean the study is wrong — it means, on its own, it is not enough. That is how evidence should be read: against what surrounds it.

Limitations

We are not the final word. The scale is a tool for readability, not a court. It conflates study type with study quality, which is pragmatic but not perfect. It says nothing about whether a particular question is even worth asking. And it never replaces a conversation with a clinician who knows your specific situation.