Reading Evidence Across Systems of Medicine: The IIFM Evidence Labels
Level 2, Intermediate
In brief
IIFM uses 5 evidence labels, evidence supported, emerging evidence, traditional practice, clinical consideration and limited or uncertain evidence, to make clear what kind of support lies behind any claim. They build on established evidence based medicine and on frameworks such as GRADE, and they allow practitioners to discuss interventions from any system of medicine honestly, including with patients, without either dismissing traditions or overstating them.
Practitioners who work across systems of medicine face a problem that specialists in a single system rarely confront. A patient may be using a guideline recommended medicine, a dietary pattern supported by large trials, a herb studied in a handful of small trials, a traditional practice with centuries of use and no modern research, and a supplement their practitioner recommends on the basis of experience. All 5 may be described to the patient as helpful. They are not supported in the same way, and a practitioner who cannot say so clearly cannot advise the patient well.
IIFM’s evidence labels exist to solve that problem. They are not a replacement for evidence based medicine but a practical way of applying its principles across a wider landscape of care.
What evidence based medicine actually means
Evidence based medicine is sometimes caricatured as medicine by randomised trial alone. Its founders defined it differently: the conscientious, explicit and judicious use of current best evidence in making decisions about the care of individual patients, integrating individual clinical expertise with the best available external evidence. Patient values and preferences were later added explicitly to that definition.
That definition has 3 components that matter for integrated practice. Evidence comes in degrees rather than as present or absent. Clinical judgement is part of the method, not an alternative to it. And the patient’s values shape how evidence is applied.
Grading evidence
The most widely used framework for rating the certainty of evidence is GRADE. It classifies the certainty that an effect is real as high, moderate, low or very low. Randomised trials start as high certainty and observational studies as low, but either can move up or down. Certainty is lowered by risk of bias, inconsistency between studies, indirectness, imprecision and publication bias. It can be raised when effects are very large, when there is a clear dose response relationship, or when plausible biases would have reduced rather than exaggerated the effect.
GRADE also distinguishes the certainty of evidence from the strength of a recommendation. A strong recommendation can rest on moderate evidence when benefits clearly outweigh harms; a weak recommendation may follow from high certainty evidence of a small benefit. This distinction is useful in practice: a low risk intervention with low certainty of benefit may still be reasonable if a patient values it, while a higher risk intervention needs stronger evidence.
The 5 IIFM labels
| Label | What it means | Approximate relationship to formal grading |
|---|---|---|
| Evidence supported | Consistent findings from well designed human studies, or recommendation in clinical guidelines | Usually moderate to high certainty |
| Emerging evidence | Promising findings, such as small trials or strong mechanistic data, not yet confirmed | Usually low certainty with a favourable direction |
| Traditional practice | Long use within a system of medicine, not yet tested or not confirmed by modern clinical research | Very low or no formal evidence; distinct because of its historical basis |
| Clinical consideration | Practical judgement drawn from clinical experience or physiological reasoning | Expert opinion; useful guidance rather than proof |
| Limited or uncertain evidence | Weak, conflicting or absent evidence, or evidence against benefit | Very low certainty, conflicting results, or evidence of no effect |
The label traditional practice deserves particular explanation. Long use is not evidence of effectiveness in the modern sense; practices can persist for centuries without being effective. But it is not nothing either. It may reflect accumulated observation, it often indicates acceptable safety for common uses, and it provides a starting point for research. The artemisinin story, in which a remedy described in a fourth century text led to a Nobel Prize winning malaria treatment, shows the potential. Many other traditional remedies, tested rigorously, have not shown benefit. The label keeps both possibilities open while being honest that the question has not been answered.
Applying the labels: worked examples
| Claim | Label | Reasoning |
|---|---|---|
| Structured lifestyle programmes reduce progression from prediabetes to type 2 diabetes | Evidence supported | Large randomised trials with consistent results |
| A high fermented food diet increases gut microbiome diversity | Emerging evidence | A well designed but small randomised study; effects on clinical outcomes unknown |
| Eating the main meal at midday supports digestion, as taught in Ayurveda | Traditional practice | Long recommended; some modern research on meal timing points in a similar direction, but the specific claim is untested |
| Changing one dietary factor at a time makes it easier to identify what helps | Clinical consideration | Logical and widely used, rather than tested in trials |
| IgG food panels identify foods causing symptoms | Limited or uncertain evidence | Allergy organisations advise against this use; IgG usually reflects exposure |
2 further points make the labels more useful. First, they apply to a specific claim, not to an intervention in general. Acupuncture may be emerging or evidence supported for some chronic pain conditions and limited for others. Second, labels can change as evidence accumulates, and practitioners should expect to update them.
The biases every practitioner must guard against
Using labels well requires awareness of the biases that distort judgement.
- Confirmation bias: weighing evidence that supports a favoured approach more heavily than evidence against it.
- Anecdote: generalising from memorable individual cases, which are shaped by natural recovery and placebo effects.
- Mechanism as proof: treating a plausible pathway as evidence of clinical benefit.
- Appeal to nature or tradition: assuming that natural or long used means safe or effective.
- Appeal to novelty: assuming that new means better.
- Dismissal by category: rejecting an intervention because of the system it comes from, rather than examining the evidence for it.
- Commercial influence: being swayed by the marketing of tests, products or programmes, particularly when the practitioner has a financial interest.
Communicating evidence to patients
The labels are designed to be explained in plain language. A practitioner might say:
- “There is strong evidence that this helps people in your situation.”
- “The early research is promising, but we do not know yet whether it makes a real difference.”
- “This has been used for a very long time in Ayurveda, but it has not really been studied in modern trials.”
- “This is based on my clinical experience rather than research, so let us try it and see how you respond.”
- “The research so far does not show that this works, although I understand why it appeals.”
Communicating uncertainty honestly tends to increase rather than reduce trust, particularly when paired with a clear plan for how the patient’s response will be monitored.
Labels in documentation and in teams
Recording the evidence basis for recommendations in clinical notes makes reasoning visible to colleagues and to the practitioner’s future self. It also supports coordination: a letter to a patient’s doctor that distinguishes an evidence supported dietary change from a low risk traditional practice the patient values is easier to read and to act on than a list of recommendations without context.
Where the labels fall short
No labelling system captures every nuance. Evidence may be strong for one population and absent for another. A small effect may be well established but unimportant. Harms are sometimes less well studied than benefits. The labels are a starting point for thinking, not a substitute for it, and they work best alongside a careful consideration of safety, relevance and the patient’s own goals.
Why this matters for integration
Integration without an evidence framework slides towards relativism, in which every approach is presented as equally valid. Evidence without integration slides towards dismissal, in which anything outside one system is ignored. The labels allow practitioners to hold both commitments: to take seriously everything a patient uses, and to be honest about how well each part is supported.
Questions about evidence
What are the IIFM evidence labels?
Is traditional use evidence of effectiveness?
How should evidence be explained to patients?
References
- Sackett DL, Rosenberg WMC, Gray JAM, et al. Evidence based medicine: what it is and what it isn’t. BMJ. 1996;312(7023).
- Guyatt GH, Oxman AD, Vist GE, et al. GRADE: an emerging consensus on rating quality of evidence and strength of recommendations. BMJ. 2008;336(7650).
- Wastyk HC, Fragiadakis GK, Perelman D, et al. Gut microbiota targeted diets modulate human immune status. Cell. 2021;184(16).
- Tu Y. The discovery of artemisinin (qinghaosu) and gifts from Chinese medicine. Nature Medicine. 2011;17(10).
- Croskerry P. The importance of cognitive errors in diagnosis and strategies to minimize them. Academic Medicine. 2003;78(8).
Continue your learning
Applying evidence with judgement
Evidence literacy is woven through IIFM’s 6 month Functional Medicine and Clinical Nutrition program: every module distinguishes what is well established from what is emerging, so that practitioners can make and explain decisions with confidence.
This article is for the education of healthcare professionals. It is not a substitute for individual medical advice, diagnosis or treatment, and does not change any practitioner’s scope of practice. Regulation and guidelines differ between countries.

