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Editorial transparency

How Qenph reviews a food supplement

Our methodology explains how we separate manufacturer information, label data, scientific literature, limits of extrapolation and commercial terms.

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Qenph editorial team

Documentary analysis: manufacturer data is clearly distinguished from institutional sources and scientific literature. No diagnosis or personalised medical recommendation.

Principle 1Identifiable source

An important claim should be traceable to a source.

Principle 2Dose and formula matter

A study on an ingredient is not automatically a study on the product.

Principle 3Visible uncertainty

What we cannot demonstrate is stated explicitly.

1. Identify the formula currently presented

A supplement can change formula, label, daily serving or ingredient supplier. We therefore start with the official page and the information available on the label. An old formula is not mixed with the current version simply because it still circulates on blogs, forums or cached pages.

For PhenQ and PhenQ PM, this step is especially important because both products belong to the same range but have different compositions and times of use.

2. Separate three types of information

Verifiable facts

  • product name and format;
  • published composition;
  • stated directions for use;
  • presence of caffeine or other compounds;
  • visible commercial terms.

Claims that need context

  • “burns fat”;
  • “reduces appetite”;
  • “works while you sleep”;
  • commercial result percentages;
  • extrapolating from one ingredient to the complete formula.

3. Compare dose, form, duration and population

Two studies using the same ingredient name may not be comparable. Chemical form, daily dose, trial duration, age, starting weight, diet and the presence of a control group all affect interpretation. A study using several grams of L-carnitine per day does not automatically validate a formula providing a very different amount.

4. Rank the level of evidence

1
Health authorities, systematic reviews and meta-analysesPreferred starting point for placing results within the wider literature.
2
Randomised controlled trialsUseful for measuring an effect in a specific protocol and comparing it with placebo or control.
3
Observational studiesThey can show an association but establish causality less reliably.
4
Mechanistic, animal or in-vitro dataUseful for understanding a mechanism, insufficient for promising a clinical result.
5
Proprietary or manufacturer-funded studiesWorth reading, but the protocol, funding and publication require close scrutiny.
6
Unverified commercial claimsThey describe what the brand claims, not what Qenph concludes.

5. Look for the outcome that actually matters

A change in a biological marker can be interesting without having a noticeable effect on weight or health. Qenph therefore distinguishes effects on alertness, thermogenesis, blood glucose, satiety hormones or sleep from an actual difference in body weight, fat mass or waist circumference.

6. Review safety before conversion

Safety should not be pushed below the purchase button. We look for manufacturer warnings first, then information from health authorities and reliable medical sources about adverse effects, interactions and groups that require extra caution.

7. Do not invent precision

Qenph does not give a supplement a “9.7/10” when the criteria do not allow such an objectively precise measurement. We prefer to explain documentary strengths, limitations, missing data and the difference between what is known about an ingredient and what has been demonstrated for the complete formula.

8. Treat prices as volatile data

Prices, discounts, packs, shipping fees and subscriptions may change without notice. To avoid an old value becoming misleading, Qenph focuses on comparing commercial mechanisms and directs users to the merchant for the current amount.

9. Correct and update

A page may be revised when a formula changes, an institutional source is updated or a factual error is identified. The page Contact allows you to report a correction. Updates focus first on accuracy, not on artificially adding new sentences.

What E-E-A-T means here

Qenph cannot “add an E-E-A-T tag”. Trust is built through verifiable elements: publisher identity, a clear editorial purpose, public methodology, cited sources, separation between advertising and analysis, no fake professional credentials and correction of errors.

How Qenph verifies its content:MethodologySourcesEditorial policyCorrections