Rules

Untrue information in one part of an ad cannot be cured by truth elsewhere

Misleading omissions in prescription drug ads require added qualification within that part/theme

Ad must not omit facts material to its representations or to use consequences

No presenting since-invalidated favorable information as current

No literature/quotations more favorable than the evidence supports

No selective presentation of information to suggest greater safety than demonstrated

No overstating the generalizability of a single study's experience

Disclose when effectiveness claims may reflect concomitant therapy

Disclose placebo-effect info when citing studies for human drug effectiveness

No favorable authority quote without disclosing later or concurrent unfavorable data

No quoting or paraphrasing out of context to mislead

Studies on normal subjects must disclose that fact unless drug is for normal individuals

No misleading pooled statistics in prescription drug advertising

No Erroneous Use of "No Significant Difference" to Claim Equivalence

No misleading headlines, subheadlines, or graphics in prescription drug ads

Statistical significance should not be used to imply unproven clinical significance

Average results should disclose the range of variation

Retrospective statistical mining to find unsupported findings may mislead

Don't use retrospective stats to imply rigor for unsuited study designs

Tables and graphs must not distort study relationships or trends

No falsely presenting reports/opinions as authentic or authoritative

Disclosing limitations does not cure a claim based on an inadequate study

Source publications that distort studies or include fraudulent data should not be disseminated

Do not share reprints that misrepresent or overstate their findings

Do not share CPGs that misrepresent or overstate their underlying findings

Do not share reference texts or digital resource content that misrepresents or overstates findings

Do not imply the source data represents broader experience than it does

Do not include safety/effectiveness representations inconsistent with the source publication

Do not present source publication information out of context

Do not use statistics/techniques to suggest significance beyond what the data supports

Do not use presentational elements to obscure or distort scientific content

A deceptive net impression can be misleading even when individual claims are not

Use risk language comprehensible to the same audience as benefit language

Use headlines/signals for risk information whenever benefit information is signaled

Risk information should be preceded by a signal indicating risk information follows

Match specificity of risk statements to benefit statements

Risk wording should not minimize the severity of a risk event

Risk ordering should not falsely suggest a risk applies only to certain populations or conditions

A risk-information presentation should not open with unrelated content