# Terminated and withdrawn clinical trials by condition

**Use case:** 

Stopped trials for a condition with the sponsor-stated reason classified, so safety stops separate from enrolment and funding failures.

## Input

```json
{
  "condition": "melanoma",
  "stoppedOnly": true,
  "includeStudies": true,
  "includeAnalysis": true,
  "maxStudies": 500,
  "sortByNewest": true,
  "pageSize": 100,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

## Output

```json
{
  "nctId": {
    "label": "NCT ID",
    "format": "string"
  },
  "title": {
    "label": "Trial",
    "format": "string"
  },
  "status": {
    "label": "Status",
    "format": "string"
  },
  "stopReason": {
    "label": "Reason",
    "format": "string"
  },
  "whyStopped": {
    "label": "Sponsor's words",
    "format": "string"
  },
  "phase": {
    "label": "Phase",
    "format": "string"
  },
  "isLatePhase": {
    "label": "Late phase",
    "format": "boolean"
  },
  "leadSponsor": {
    "label": "Sponsor",
    "format": "string"
  },
  "sponsorClass": {
    "label": "Class",
    "format": "string"
  },
  "enrollment": {
    "label": "Enrolled",
    "format": "number"
  },
  "enrolledNobody": {
    "label": "Never started",
    "format": "boolean"
  },
  "durationMonths": {
    "label": "Months survived",
    "format": "number"
  },
  "resultsWithheld": {
    "label": "No results",
    "format": "boolean"
  },
  "conditions": {
    "label": "Conditions",
    "format": "array"
  },
  "url": {
    "label": "Registry",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [ClinicalTrials.gov Scraper](https://apify.com/datalayer/clinical-trials-failure-intel.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/datalayer/clinical-trials-failure-intel.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
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This Task's input is already configured above — use it as-is rather than inventing a new one.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
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For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/datalayer/clinical-trials-failure-intel.md

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).