
Guides
Part of Science health news verification: a practical guide
How to audit a clinical study story before it runs
Audit a clinical study story by pulling the paper, protocol and registry record, then checking every claim, number and quote against the data.
What to take away
- Freeze the public claim before you read the release that supports it.
- Pull the paper, its protocol, the registry record and the current journal status as separate documents.
- Reconcile planned and reported outcomes, enrollment, exclusions and analysis groups before drafting.
- Recalculate the main effect in absolute terms, not only the relative figure the release leads with.
- Rewrite any claim the design, the data or the regulatory record cannot carry.
This workflow is for a story about a clinical study involving people. It scales from a short brief to a long investigation, but the order matters. Start with the claim, then rebuild the study underneath it. Promotional language read first makes the omissions harder to see.
Capture the claim exactly
Save these items, each with its capture date:
Capture These Items With Dates
- Headline
- Release
- Paper version
- Charts
- Author posts
- Product page
Take this sentence:
A daily tablet cut infections by 40 percent and is safe for older adults.
It carries five separate claims: daily dosing, a defined tablet, a 40 percent reduction, a safety conclusion, and applicability to older adults. Each one gets its own row.
Identify the study and its version
Record the title, authors, journal or repository, DOI, and publication status. Also record the publication date and correction status. Then decide which version you hold: conference abstract, preprint, accepted manuscript, final article, correction or retraction.
Which Version Do You Hold?
Which version do you hold?
Conference abstract -> weakest, label it
Preprint -> check for later versions
Do not merge studies that share a product name. A pilot, a phase 2 trial, a phase 3 trial, an extension study and a pooled analysis answer different questions.
Find the registry record and protocol
Search the paper for a registration number. In the record, review the sponsor, study type, phase, and allocation. Also review masking, enrollment, eligibility, and arms. Then review outcomes, dates, locations, and results.
ClinicalTrials.gov's guide to reading a study record separates Study Details, Researcher View, Results and Record History. A record can describe a study with no results posted, so registration alone proves nothing about whether the intervention worked.
Save the earliest registration you can retrieve and each later version. Note when each change landed relative to enrollment, analysis and publication.
Build a design card
Summarize the study with no conclusions in it.
Item / What to record
- Research question
- Population, intervention, comparator, outcome, time
- Design
- Randomized, observational, crossover, single-arm, other
- Recruitment
- Source population and selection process
- Assignment
- Random method, concealment, or observed exposure
- Masking
- Participants, clinicians, assessors, analysts
- Sample
- Planned, enrolled, randomized, analyzed
- Follow-up
- Scheduled duration and actual completion
- Primary outcome
- Definition, measurement, and time point
- Analysis
- Main model and analysis population
If you cannot explain the design in a short paragraph, stop drafting and resolve the gaps first.
Reconcile the participant flow
Follow people from screening to analysis. Ask why anyone was excluded after assignment, whether losses differed between arms, and which safety population was used. A result among only those who completed treatment can differ from the result under the original group assignments.
Build a flow table with screened, eligible, assigned, treated, followed and analyzed counts. Check that the totals agree across the abstract, the flow figure, the supplement and the registry.
Compare planned with reported outcomes
For each primary outcome and each material secondary outcome, record the exact definition, the measurement instrument, the planned time point, the registered analysis and the reported result. Add any amendment date and its stated reason.
Watch for a primary outcome that became secondary, a new time window, a favorable subgroup promoted after analysis, or a composite outcome described through only its most dramatic component. Changes can be legitimate. The story still has to show them.
Reproduce the central number
For a binary outcome, capture the events and the participants in both arms. Calculate the risk in each arm, the absolute difference, the relative difference, and the number needed to treat or harm where that measure fits. Keep the confidence interval beside the point estimate.
Worked example
Suppose infections occurred in 6 of 500 treatment participants and 10 of 500 controls.
| Measure | Result |
|---|---|
| Treatment risk | 1.2% |
| Control risk | 2.0% |
| Absolute reduction | 0.8 percentage points |
| Relative reduction | 40% |
| Approximate number needed to treat | 125 |
The 40 percent figure is arithmetically sound. The absolute result tells the reader what it means in a population. The interval tells them how precisely the effect is known.
Audit harms and early stopping
Record serious adverse events, withdrawals for adverse events, common side effects and deaths. Note how long the study could observe delayed harm. Check whether the trial stopped early and who made that call. A trial powered for efficacy is often too small or too brief to settle safety.
Unless a wider body of evidence supports the stronger word, replace "safe" with the observed safety result and its limits.
Test generalizability
Compare the study sample with the people named in the story. Age alone does not carry a result to all older adults. Frailty, diagnoses, other medications, and pregnancy all move the answer. Geography, care setting, baseline risk, and access also move the answer.
Ask what the trial actually measured: a patient outcome, a laboratory marker, an imaging result, a symptom score or a surrogate. A marker that improves is not automatically fewer hospitalizations or longer life.
Verify the product status separately
Check the regulator's record for the exact product and formulation. Also check the manufacturer, the intended use, and the dose. Then check the route, the age group, and the jurisdiction. Registration, an investigational authorization, a publication and a patent are four different things, and none of them is marketing approval.
If the study covers an approved product used outside its approved indication, say so plainly in the copy.
Get an independent read
Ask someone with no close tie to the study to review the design, the effect size and the main limitations. Give them the paper and the protocol, not the press release. Ask five focused questions.
- What can this design establish?
- Is the primary result clinically meaningful?
- Which bias or assumption most threatens the conclusion?
- Does the result fit the wider evidence?
- What should a patient not infer from it?
A University of Michigan guide to publication errors sets out the routes open to a reader with a concern: write to the corresponding author, raise it with the journal editor as a letter, or use the publisher's comment format. It separates honest error from research misconduct. Knowing which route exists keeps a query from reading as an accusation.
Run the claim-to-evidence audit
Give every public statement its own row.
| Draft claim | Best evidence | Supported level | Required revision |
|---|---|---|---|
| Cut infections by 40% | Outcome table | Relative result only | Add absolute values and interval |
| Is safe | Short trial safety table | Limited observed harms | Narrow and state follow-up |
| Works for older adults | Subgroup or eligibility | Depends on sample | Name included ages and exclusions |
Repeat the audit for the headline, the chart, the caption, the alt text, the newsletter and the social post. Publish only when the strongest framing matches the narrowest relevant limitation.
Common questions
What if the paper has no registration number?
Ask the authors and the journal. If registration was expected for that design, say in the copy that it is absent. Do not assume the reported outcomes were prespecified.
Is a primary endpoint always the one patients care about?
No. It is the outcome designated for the study's main analysis, and it may be a surrogate or a scale score. Translating it into patient relevance is a separate step.
Can a reporter calculate a number the paper omitted?
Yes, when the inputs and the method are sound. Label it as a newsroom calculation, keep the worksheet, and get it reviewed if the result is material or complex.
Does a registry listing mean the government endorses the study?
No. A registry record documents what was submitted about a study. It does not by itself verify the results or confer approval.







