Studies of existing drugs in ageing populations have unusual dosing patterns, long safety follow-up and a mix of biomarker and function endpoints. Capture handles dosing diaries, safety labs, adverse events, randomisation and wearables in one audited system you can build free in the sandbox.
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Participants
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Open queries
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Labs out of range
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Geroscience repurposing trials in brief
The study type
Geroscience is the field that studies ageing biology as a driver of age-related disease. Repurposing studies take drugs already approved for other uses, or in development, and test them against measures of ageing or age-related function. Rapamycin and related compounds, metformin and senolytic candidates are commonly discussed examples. This page takes no position on any of them. Its subject is the study: what data do these protocols produce, and what must an EDC do so those data are complete, safe to act on and ready for analysis?
A repurposing study sits somewhere between a drug trial and a healthy-volunteer study. Investigational product accountability, randomisation and placebo control come from the drug side. Biomarker panels, function tests, wearables and long diaries come from the longevity side. Participants are often older, often take other medicines and may be generally well, so the burden on them must be low and the safety net must be good. For the regulatory framing and the sponsor role, see the guidance on EDC for investigator-initiated trials, because many of these studies are run by academic groups or small organisations rather than large sponsors.
Kit K-10418 · custody history
Only physically possible combinations can be saved.
Data model
| Data group | What is recorded | How it fits in Capture |
|---|---|---|
| Eligibility and consent | Age, health status, exclusion medications, prior exposure to the drug | Eligibility form, screening wizard and eConsent with countersignature |
| Randomisation and blinding | Drug or placebo, stratification such as sex or age band | Randomisation with stratification; blinded roles get masked views |
| Dosing record | Scheduled and taken doses, dose date and time, missed doses, dose interruptions and reasons | Participant diary on the phone plus a site dosing form; calculated fields for adherence |
| Product supply | Kit or bottle issued, returned count | Kit dispensing and accountability, see the IMP inventory page |
| Safety labs | Glucose, lipids, liver and kidney tests, blood counts, with reference ranges and alert limits | Laboratory form with unit, result and range; auto-queries on out-of-range values |
| Adverse events | Event, onset, severity, relatedness, action taken, outcome | Adverse event, AESI and SAE workflow |
| Concomitant medications | Everything else the participant takes, with start and stop dates | Repeating table with its own audit trail |
| Biomarkers and function | Aging biomarkers, grip strength, walking tests, cognition | Site forms and ePRO, repeated by visit |
Dosing
A daily pill is easy to record. A weekly dose, a dose taken for a few days each month or a protocol with a titration step is harder, because the question "did the participant take what was prescribed?" depends on the schedule. The cleanest approach is to record each scheduled dose as a row with the planned date, the actual date and a coded reason for any difference. Capture supports repeating table rows on eCRF forms, each with its own audit trail, and participants can complete the same questions in a short phone diary with reminders. A calculated field turns the rows into an adherence figure, and an edit check raises a query when a dose is recorded outside your protocol window.
Titration and dose reductions for tolerability should be explicit events on the form, not a note. Record the new dose, the date and the reason, so the analysis can handle dose changes consistently. If the protocol has stopping rules, put the stopping criteria on the form that the investigator completes, so a decision to stop is tied to the evidence for it. The IMP inventory and drug accountability page covers the supply side: kit dispensing, returns and counts.
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Safety
The safety profile of a known drug does not transfer automatically to a new population or a new schedule, so these studies typically schedule safety labs on a regular basis and screen concomitant medications carefully. In Capture, lab forms store analytes with a unit, result and reference range, and edit checks can raise an auto-query when a value crosses a protocol limit. The AI lab-table drafting feature can read a lab sheet or a CSV and propose the analyte rows, which you review before anything is saved; see lab data and reference range management for how ranges are stored.
Interactions are a data problem as much as a clinical one. A repeating concomitant medications table with start and stop dates lets the safety reviewer see what else a participant took during any adverse event. Use the concomitant medications template as a base. Adverse events go on the adverse event form with an SAE workflow and field-level audit trail. Capture is not a pharmacovigilance safety database; use a dedicated one for case processing and regulatory safety reports if you need it. See adverse event reporting software.
Many studies in this area appoint an independent safety reviewer or a data monitoring committee. Give them read-only access with a role that matches their duty, and an export of the safety listings at each review. Because the audit trail is append-only, the committee sees the real history of any corrected value.
Setup
Upload the protocol and let the AI study builder propose visits and forms, or use the schedule of assessments builder. Review every proposal.
Create the dosing table, the kit form and the missed-dose reasons your protocol defines.
Set analytes, ranges and alert limits, and decide which values must raise a query.
Use ePRO for diaries and function questionnaires; enable a wearable for the study if the protocol uses one.
Configure drug and placebo arms, stratification and blinded roles. See randomisation software.
Enter sample data, check edit checks and approve the forms. Approved forms are locked for live use.
Before you start
Scheduled doses, windows, dose changes and missed-dose reasons.
Analytes, units, ranges, alert limits and the action for each.
Excluded and flagged concomitant medications on the eligibility and medication forms.
Roles and export schedule for an independent reviewer.
Risks, data use and, if applicable, wearable data described in plain language.
Biomarker and function measures marked as exploratory or secondary.
Responsibilities
Using an approved drug for a new purpose usually still requires regulatory and ethics review, and the requirements differ by country and by the study's design. This page is not legal or regulatory advice. Check the rules that apply to your study with your regulatory adviser and ethics committee, and write the protocol to that standard. Capture provides 21 CFR Part 11-aligned controls (field-level audit trail, role-based access, electronic signatures) and the sponsor is responsible for validated use. Before submitting to a committee, you can export a blank eCRF PDF with a cover page, form index and visit-by-form matrix; the IRB submission checklist lists what else committees often ask for.
If the study is small and exploratory, begin with a pilot. How to run a pilot study explains how to scope one so the data set-up you test is the one the larger study uses.
Yes. Record each scheduled dose as a repeating row with planned date, actual date and a coded reason for any difference, or have participants log it on a phone diary. Calculated fields can derive adherence.
No. It is data capture software and makes no efficacy or safety claim about any drug. This page is not medical or legal advice.
Lab forms store analytes with unit, result and reference range, and edit checks raise an auto-query when a value crosses a limit you set.
Yes. Randomisation assigns arms with optional stratification, and blinded roles never receive treatment-arm values because masked database views enforce it.
No. It captures adverse events and SAEs on the eCRF with an SAE workflow. For case processing and regulatory safety reporting, use a dedicated safety system.
Yes, through a native connection the study team enables per study; the participant connects their own account. Oura is the device named today, so confirm others with us.
The sandbox is free with every feature, no credit card and no time limit. You pay only once the study goes live with real participants.
Keep exploring
EDC for longevity clinical trials
The wider longevity view.
IMP inventory and accountability
Kits, returns and counts.
Clinical trial randomization software
Drug and placebo allocation.
Adverse event reporting software
AE and SAE capture.
Lab data and reference ranges
Safety lab panels and alerts.
EDC for investigator-initiated trials
For academic and small sponsors.
Free sandbox with every feature. No credit card, and you pay only when you go live.