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pubmed-database

Build PubMed search queries and retrieve citations via NCBI E-utilities endpoints.

21|2|Updated Dec 8, 2025
Search Tags:#pubmed#mesh#systematic reviews#citation retrieval#boolean search#e-utilities#bibliographic export
One-click install
npx skills add https://github.com/silverstein/claude-scientific-skills-desktop --skill pubmed-database-silverstein
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: pubmed-database
Source: https://github.com/silverstein/claude-scientific-skills-desktop/tree/main/corpus/pubmed-database
Command: npx skills add https://github.com/silverstein/claude-scientific-skills-desktop --skill pubmed-database-silverstein

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

It helps you search PubMed for biomedical literature and retrieve structured citation data without manually crafting complex queries or repetitive API calls.

Core Features & Use Cases

  • Advanced Boolean and MeSH Query Building: Create precise searches using field tags, MeSH terms, publication filters, and systematic-review patterns.
  • Programmatic E-utilities Access: Use NCBI’s E-utilities (ESearch/EFetch/ESummary/EPost/ELink) for automated workflows, batching, and citation discovery.
  • Citation Retrieval and Export Support: Fetch abstracts/records, match citations by identifiers (PMID/DOI/PMC), and export results for downstream analysis.
  • Use Case: Set up a systematic literature search for a specific disease and study type (e.g., RCTs from 2023–2024), then export PMIDs and record metadata for screening.

Quick Start

Use the pubmed-database skill to run an advanced PubMed search for articles on diabetes treatment and return matching PMIDs and abstracts via E-utilities.

Frequently Asked Questions about pubmed-database

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build a PubMed systematic review search query using MeSH terms and field tags?▼

PubMed systematic review search queries are built by combining MeSH terms, field tags, and Boolean operators to construct precise ESearch requests. This approach filters publications by specific study types and date ranges, returning matching PMIDs for literature screening.

Can I retrieve PubMed abstracts and citation data automatically using NCBI E-utilities?▼

NCBI E-utilities enable automated PubMed abstract and citation retrieval through ESearch, EFetch, and ESummary endpoints. Programmatic access supports batch workflows with caching and rate-limit-aware requests to fetch structured records for downstream analysis.

What is the best way to look up PubMed records by PMID, DOI, or PMC identifier?▼

Identifier-based PubMed lookup uses EFetch or ESummary requests with specific PMID, DOI, or PMC identifiers to retrieve matching citation records. This method bypasses broad Boolean searches, directly returning targeted abstracts and bibliographic metadata for known articles.

Does this PubMed search approach support exporting large result sets for systematic literature reviews?▼

Large PubMed result sets are handled using the NCBI history server or batching techniques during ESearch and EFetch operations. This enables retrieving and exporting extensive lists of PMIDs and record metadata required for systematic literature review screening.

Why should I use MeSH terms and Boolean operators for biomedical literature searches instead of basic keywords?▼

MeSH terms and Boolean operators provide precise field-tagged filtering for biomedical literature searches, reducing irrelevant results. Advanced query construction targets specific publication types and study parameters, yielding structured citation outputs superior to basic keyword matching.

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