Clinical Trials & PubMed Evidence Gap Report

Paid first run ≈ USD 0.008 per biomedical-evidence-row (1 NCT watch, emitRawRows true, report off). Open Try for free → Input and run this JSON.

{
  "watchlists": [
    {
      "id": "starter-study",
      "nctIds": [
        "NCT04280705"
      ],
      "maxStudies": 1
    }
  ],
  "fromDate": "2025",
  "sort": "most_recent",
  "maxResultsPerQuery": 1,
  "maxArticles": 1,
  "maxStudiesPerWatchlist": 1,
  "maxPagesPerWatchlist": 1,
  "runMode": "monitor",
  "monitorKey": "starter-nct04280705-v2",
  "initialRunMode": "emit_backfill",
  "emitRawRows": true,
  "generateReport": false,
  "generateExport": false,
  "emitUnchanged": false,
  "maxChargeUsd": 0.05,
  "dryRun": false
}

Biomedical research, medical affairs, and evidence teams use this Actor to compare ClinicalTrials.gov records with PubMed citation metadata. Input trial-literature watchlists, NCT IDs, conditions, interventions, PubMed queries, and a recurring monitor key. Get source-linked evidence rows, trial-to-literature gap alerts, evidence reports, and research exports from official APIs.

Start with a low-cost paid trial

Use this capped input to verify the source and buyer-facing output before buying a full report. It disables the report and export events and caps the run at $0.50. It delivers both a source row (biomedical-evidence-row, $0.008) and a buyer-facing signal (evidence-gap-alert, $0.15) when the starter evidence matches. A zero-row run has zero event charge.

{
  "searchTerms": [],
  "watchlists": [
    {
      "id": "starter-study",
      "nctIds": [
        "NCT04280705"
      ],
      "maxStudies": 1
    }
  ],
  "fromDate": "2025",
  "sort": "most_recent",
  "maxResultsPerQuery": 1,
  "maxArticles": 1,
  "maxStudiesPerWatchlist": 1,
  "maxPagesPerWatchlist": 1,
  "runMode": "monitor",
  "monitorKey": "starter-nct04280705-v2",
  "initialRunMode": "emit_backfill",
  "emitRawRows": true,
  "generateReport": false,
  "generateExport": false,
  "emitUnchanged": false,
  "maxChargeUsd": 0.5,
  "dryRun": false
}

When the result fits your workflow, use the separate state key below to generate the full biomedical-evidence-report output ($5.00) and biomedical-evidence-export export ($3.00). The cap covers the selected report/export path; unchanged monitoring runs still produce zero rows and zero event charge.

{
  "searchTerms": [],
  "watchlists": [
    {
      "id": "starter-study",
      "nctIds": [
        "NCT04280705"
      ],
      "maxStudies": 1
    }
  ],
  "fromDate": "2025",
  "sort": "most_recent",
  "maxResultsPerQuery": 1,
  "maxArticles": 1,
  "maxStudiesPerWatchlist": 1,
  "maxPagesPerWatchlist": 1,
  "runMode": "monitor",
  "monitorKey": "starter-nct04280705-v2-full-report-v1",
  "initialRunMode": "emit_backfill",
  "emitRawRows": false,
  "generateReport": true,
  "generateExport": true,
  "emitUnchanged": false,
  "maxChargeUsd": 8.41,
  "dryRun": false
}

Store Quickstart

{
  "watchlists": [{
    "id": "cancer-immunotherapy",
    "conditions": ["cancer"],
    "interventions": ["immunotherapy"],
    "pubmedQuery": "cancer immunotherapy clinical trial"
  }],
  "searchTerms": ["cancer immunotherapy clinical trial"],
  "fromDate": "2026",
  "sort": "most_recent",
  "maxArticles": 25,
  "runMode": "monitor",
  "monitorKey": "cancer-immunotherapy-evidence",
  "initialRunMode": "emit_backfill",
  "emitRawRows": false,
  "generateReport": true,
  "generateExport": false,
  "maxChargeUsd": 3,
  "dryRun": false
}

The default initialRunMode: "baseline_only" stores the first trial and literature baseline with zero rows and zero charge. An unchanged later run also emits zero rows and zero charge.

Use with Apify MCP

Exact actor: taroyamada/biomedical-trial-literature-evidence-report

Sample input JSON:

{
  "watchlists": [
    {
      "id": "starter-study",
      "nctIds": [
        "NCT04280705"
      ],
      "maxStudies": 1
    }
  ],
  "fromDate": "2025",
  "sort": "most_recent",
  "maxResultsPerQuery": 1,
  "maxArticles": 1,
  "maxStudiesPerWatchlist": 1,
  "maxPagesPerWatchlist": 1,
  "runMode": "monitor",
  "monitorKey": "starter-nct04280705-v2",
  "initialRunMode": "emit_backfill",
  "emitRawRows": true,
  "generateReport": false,
  "generateExport": false,
  "emitUnchanged": false,
  "maxChargeUsd": 0.05,
  "dryRun": false
}

Run the next report

This Actor is the PubMed literature stage of the research workflow. Use generateReport: true for a current literature update, and set generateExport: true with emitRawRows: false when the deliverable is a systematic-review screening/reference export. Keep a stable monitorKey for recurring updates; the first baseline and later unchanged checks remain zero-row and zero-charge runs.

{
  "pmids": ["39763750", "39763800"],
  "runMode": "extract",
  "emitRawRows": false,
  "generateReport": true,
  "generateExport": true,
  "maxChargeUsd": 8,
  "dryRun": false
}

When starting from NIH funding work, first use NIH RePORTER Funding Landscape Report and NIH Grant Publication Linkage & Output Report, then use this Actor for the literature update/export step.

See also

• NIH Grant Publication Linkage & Output Report for grant-to-publication links.
• NIH RePORTER Funding Landscape Report for the preceding funding landscape.
• OpenAlex Research Intelligence for broader cross-domain publication discovery.

Input examples

Current literature report

{
  "searchTerms": ["GLP-1 obesity"],
  "fromDate": "2025",
  "maxResultsPerQuery": 25,
  "maxArticles": 50,
  "runMode": "audit",
  "emitRawRows": false,
  "generateReport": true,
  "dryRun": false
}

PMID metadata export

{
  "pmids": ["39763750", "39763800"],
  "runMode": "extract",
  "emitRawRows": true,
  "generateReport": false,
  "generateExport": true,
  "dryRun": false
}

New-publication monitor

{
  "searchTerms": ["CAR-T solid tumor"],
  "sort": "most_recent",
  "maxArticles": 100,
  "runMode": "monitor",
  "monitorKey": "car-t-solid-tumor-watch",
  "initialRunMode": "baseline_only",
  "emitRawRows": false,
  "generateReport": true,
  "generateExport": false,
  "dryRun": false
}

The first baseline-only monitor emits no rows. Later runs emit only changed trials, newly observed PMIDs, evidence gaps, and requested reports.

Sample output

{
  "rowType": "literature_update_report",
  "billingEventName": "biomedical-evidence-report",
  "query": {
    "searchTerms": ["cancer immunotherapy"],
    "fromDate": "2026"
  },
  "articleCount": 12,
  "pmids": ["39763750", "39763800"],
  "topJournals": [{"value": "Cancer Research", "count": 3}],
  "summary": "12 PubMed publications matched this literature update.",
  "sourceUrl": "https://pubmed.ncbi.nlm.nih.gov/"
}

Pricing

Event	Price	Emitted when
biomedical-evidence-row	$0.008	A normalized trial or literature evidence row is emitted
evidence-gap-alert	$0.15	A saved monitor observes a source-linked evidence gap
biomedical-evidence-report	$5.00	A trial and literature evidence report is generated
biomedical-evidence-export	$3.00	A normalized evidence export is generated

There is no start charge. Use emitRawRows: false for report-first runs, and maxChargeUsd to cap planned Actor charges.

Source and limits

• Uses official NCBI ESearch and ESummary JSON endpoints; no browser scraping or login is required.
• An optional free NCBI API key increases the documented request allowance. Keyless mode is paced conservatively.
• This Actor exports citation metadata, not article full text or abstracts.
• PubMed records can be incomplete or updated after publication.

Compliance

Outputs support literature research and screening workflows. They are not medical advice, clinical efficacy claims, or a substitute for reviewing the source publication. Keep NCBI attribution and source URLs in downstream reports.