2026-04-04

Trial Verdict

Every week, science finishes an experiment on your health. We read the results so you don't have to.

Consumer-facing clinical trial results intelligence — auto-collecting newly completed trial results from ClinicalTrials.gov, translating them into plain-English verdict articles with data visualizations, scorecards, and honest "should you care?" assessments.

Niche Explored

Consumer-facing clinical trial results intelligence — translating the flood of completed clinical trials into plain-language, visually rich content that tells regular people “what actually worked and what didn’t.”

Existing Competition

Trial Files (Substack) — Monthly newsletter for medical trainees at Sinai Health; very niche, targeted at doctors not consumers. Only heme-onc and general internal medicine. Low subscriber count.
Cardiology Trials (Substack) — Focused exclusively on cardiology, written for physicians. Technical language.
plainlanguagesummaries.com — Taylor & Francis academic publisher site; individual trial summaries but buried in academic publishing UI, not consumer-friendly at all
TrialAssure — Enterprise SaaS using AI to generate plain language summaries for regulatory compliance. Not consumer-facing.
prxengage.com — Helps people find trials to join, not understand results. Different angle entirely.
Bio Breakdowns (Substack) — Gene therapy focused, investor/biotech audience

GAP IDENTIFIED: No one is doing automated, consumer-facing, beautifully designed clinical trial results intelligence. The existing players are either:

Written FOR doctors BY doctors (Trial Files, Cardiology Trials)
Regulatory compliance tools (TrialAssure)
Academic publisher sidebars (Taylor & Francis)
Trial recruitment sites, not results sites (prxengage)

Nobody is answering: “What did science prove THIS WEEK about treatments for things I care about?” in beautiful, shareable, visual format for regular humans.

Data Sources Found

Primary: ClinicalTrials.gov v2 API (FREE, no key required)

URL: https://clinicaltrials.gov/api/v2/studies
Docs: https://clinicaltrials.gov/data-api/about-api
Key capability: Query studies with results posted (filter.advanced=AREA[ResultsFirstPostDate]RANGE[MIN,MAX]) to find newly completed trials
Returns: Full structured data including conditions, interventions, outcomes, adverse events, participant flow
Rate limit: Generous (no key needed), returns JSON
Critical fields: resultsSection.outcomeMeasuresModule, resultsSection.adverseEventsModule, protocolSection.conditionsModule

Secondary: PubMed/NCBI E-utilities API (FREE, API key optional for higher rate)

URL: https://eutils.ncbi.nlm.nih.gov/entrez/eutils/
Use case: Find published papers linked to completed trials, get abstracts for AI analysis context
Cross-reference: ClinicalTrials.gov NCT numbers link to PubMed publications

Tertiary: OpenFDA Drug Adverse Events API (FREE, no key)

URL: https://api.fda.gov/drug/event.json
Use case: Cross-reference adverse event reports for drugs in completed trials
Adds: Real-world safety signal data beyond what trial results show

Supporting: WHO Global Health Observatory OData API

URL: https://ghoapi.azureedge.net/api/
Use case: Disease burden context (how many people affected by condition X globally)

Supporting: Europe PMC REST API (FREE)

URL: https://www.ebi.ac.uk/europepmc/webservices/rest/search
Use case: Additional publication context, open access full texts

SEO Analysis

Keywords with opportunity:
- “clinical trial results explained” — moderate volume, LOW competition (no dedicated consumer site)
- “new drug trial results [condition]” — high intent, people searching after news coverage
- “did [drug name] work clinical trial” — very specific, virtually zero competition
- “[condition] treatment research 2026” — growing search volumes
- “clinical trial results plain English” — emerging keyword with EU regulation (EU CTR requires plain language summaries)
Long-tail gold: Every condition + treatment combination is its own keyword cluster
News-jacking opportunity: When a trial result makes headlines (GLP-1 drugs, cancer immunotherapy, Alzheimer’s), people search for the actual data. This site would rank for those queries.

Communities

r/science (47M members) — trial results regularly hit front page
r/medicine, r/pharmacy — professional but crossover audience
r/Health — 5M+ members
Condition-specific subreddits (r/diabetes, r/cancer, r/MultipleSclerosis, etc.) — MASSIVE engaged audiences desperate for trial result news
Patient advocacy Facebook groups — enormous and underserved
Health Twitter/X — constant discussion of trial results
HackerNews — health/biotech posts regularly trend

Image/Graphic Feasibility

EXCELLENT for this niche:
- Trial outcome bar charts (treatment vs placebo — simple, compelling)
- Adverse event frequency infographics
- Patient flow diagrams (enrolled → completed → analyzed)
- “Report card” style scorecards per trial
- Condition prevalence maps
- Timeline graphics showing trial phases
All of these can be programmatically generated from structured data — ClinicalTrials.gov returns numerical outcome measures perfectly suited to chart generation

Market Size

500K+ clinical trials registered on ClinicalTrials.gov
~100-200 trials post results per week
130M Americans have at least one chronic condition
Health content is the #1 most-searched category after news
EU Clinical Trials Regulation now MANDATES plain language summaries — creating massive new awareness
GLP-1/weight loss drug boom driving unprecedented public interest in trial results