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CT.gov Search Tips: Find the Right Clinical Trials Faster

June 27, 2026 · 8 min read

ClinicalTrials.gov has over 400,000 registered trials. If you're searching for a specific disease, treatment, or company, the basic search box often returns thousands of results — most of them irrelevant to what you actually need.

The good news: CT.gov supports powerful filtering options that most people never use. Combined with tools like TrialScope, you can narrow thousands of results down to the 50 trials that actually matter — in seconds.

TL;DR: Use the search box for keywords, then filter by phase, status, location, enrollment, and more. The best results come from combining filters, not using a single search term.

What Can You Filter On?

Here are the filters that make the biggest difference in your search results:

Keyword Search

Disease or condition

Search by exact disease name. "Non-small cell lung cancer" will find all trials for that specific condition. More precise than a general keyword search.

Best for: Finding trials for a specific indication

Treatment or intervention

Search by drug name, device, or treatment type. "Pembrolizumab" shows every trial using that specific drug.

Best for: Tracking a competitor's drug or finding combination therapies

Sponsor or company

Search by the company or institution running the trial. "Pfizer" shows every Pfizer trial across all indications.

Best for: Monitoring a specific company's pipeline

Location

Search by city, state, or country. Useful for finding trials near you or in specific markets.

Best for: Finding trials open in your region

Filters (Narrow Your Results)

Recruitment status

The most important filter. Choose: Recruiting (open now), Not yet recruiting (opening soon), Completed (has results available), or Active not recruiting (enrollment closed).

Best for: Excluding completed or terminated trials you can't join

Trial phase

Filter by Phase 1 (safety), Phase 2 (efficacy), Phase 3 (large-scale confirmation), or Phase 4 (post-approval). You can select multiple phases.

Best for: BD teams tracking near-term pipeline (Phase 2/3), CROs scoping bids

Study type

Interventional (drug/device trials) or Observational (no intervention, just observation). Most BD and CRO work focuses on interventional trials.

Best for: Excluding observational studies when you need treatment data

Enrollment size

Set a minimum or maximum number of participants. A trial with 500 patients is more commercially significant than one with 20.

Best for: Focusing on trials large enough to move the needle

Country

Filter by country. A trial can run in multiple countries — it will appear if any location matches.

Best for: CROs scoping geographic feasibility, BD teams tracking regional competition

Age group

Filter by Child (under 18), Adult (18-64), or Older Adult (65+). Trials can accept multiple age groups.

Best for: Finding trials for specific populations

Funded by

Filter by sponsor type: Industry (pharma/biotech), NIH, Government, or Other. Industry-funded trials are typically more commercially relevant.

Best for: BD teams focusing on commercial competition, excluding academic trials

How to Combine Filters Effectively

The biggest mistake people make is typing a long keyword string and hoping for the best. Here's a better approach:

  1. Start with a specific search term. Use the disease name or drug name, not a vague phrase like "cancer treatment."
  2. Add a status filter. Select "Recruiting" and "Not yet recruiting" to see trials you can actually join or bid on.
  3. Add a phase filter. Phase 2 and 3 are where the commercial action is. Phase 1 is too early, Phase 4 is already approved.
  4. Narrow by location. Add a country filter if you're focused on a specific market.
  5. Set enrollment minimum. Filter out tiny trials that won't impact the market.

Each filter you add cuts the results significantly. The goal is to go from 3,000 results to 50 — before you read a single trial title.

3 Real-World Examples

Example 1: BD — Track competitor oncology trials

Goal: Find all Phase 2/3 NSCLC trials sponsored by industry, recruiting in the US.

Search: "non-small cell lung cancer"

Filters: Phase 2 + Phase 3 | Status: Recruiting + Active not recruiting | Sponsor type: Industry | Country: United States

This gives you a clean list of ~50–100 trials you can review, export, and compare.

Example 2: CRO — Scope a new bid opportunity

Goal: Find Phase 3 diabetes trials in Europe with enrollment >200.

Search: "type 2 diabetes"

Filters: Phase 3 | Status: Recruiting | Country: Germany, Poland, Spain | Enrollment: >200

Result: a shortlist of trials you can assess for feasibility and pricing.

Example 3: Researcher — Systematic review

Goal: Find all completed Phase 3 RCTs on GLP-1 agonists with available results.

Search: "GLP-1"

Filters: Phase 3 | Status: Completed | Study type: Interventional | Has results: Yes

Result: a clean set of trials for meta-analysis, ready to export.

Common Search Mistakes

Mistake 1: Using only the basic search box. The search box is a starting point, not a finish line. Always add filters to narrow results.

Mistake 2: Too broad a search. "Cancer" returns 10,000+ results. "Non-small cell lung cancer" returns 500. Be specific.

Mistake 3: Ignoring status filters. Completed trials are useful for results. Recruiting trials are useful for feasibility. Mixing them makes both harder to evaluate.

Mistake 4: Manual export limits. CT.gov's built-in CSV export is limited to 10 rows per page. For larger exports, use a tool that handles pagination and custom field selection.

How TrialScope Makes Filtering Easier

TrialScope brings all these filters into a sidebar right on CT.gov — no API knowledge needed. You get:

Instead of learning API parameters, you just check boxes and click search. The results appear instantly — filtered on the server, no waiting.

Conclusion

CT.gov is a powerful database, but the basic search box only scratches the surface. By combining keyword search with smart filtering — phase, status, location, enrollment, and sponsor type — you can cut through the noise and find the trials that actually matter to your work.

The difference between a busy BD analyst and an efficient one isn't access to data — it's knowing how to filter.

Try TrialScope free — advanced filtering, AI analysis, and structured export, right inside ClinicalTrials.gov.

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