Yale MeSH Analyzer
2026-09-20
Today, we will briefly introduce a highly useful tool for the early stages of a literature review: the Yale MeSH Analyzer. This tool focuses on MeSH terms, which are the standard indexing vocabulary used by the NIH (MEDLINE/PubMed).
Why Do We Care?
During a literature review, especially when selecting Relevant Papers to build your search strings, it can be challenging to figure out which indexing terms are most prevalent across your sources. The Yale MeSH Analyzer directly addresses this by making it easy to identify and extract these key terms.
A common way to start a literature review, beyond foundational steps like formulating a research question and choosing a framework (PICO, PICo, PECO, SPIDER, etc.), is to identify existing papers that already address your core topic. These are often referred to as "seed papers" or "foundational studies."
How It Works
The application uses the PMID of your selected papers to organize their metadata, generating a clean grid of MeSH terms that can be easily analyzed by the researcher.
It can handle up to 20 papers at a time, which is more than enough to work with!
Example:
| PMID | 38083055 | 16030331 | 31825494 |
|---|---|---|---|
| Title | Causal Inference for Hypertension Prediction. | Causation and causal inference in epidemiology. | Applying Causal Inference Methods in Psychiatric E... |
| Author (Year) | Gong, K (2023) | Rothman, KJ (2005) | Ohlsson, H (2020) |
| Abstract | Too long to put here, but you get the idea :) | Super long abstract here | Abstract goes here |
| MeSH Headings | Cardiovascular Diseases* Causality (etc...) | Causality* Epidemiology/standards (etc) | Epidemiology/statistics & numerical data (etc) |
| Author Keywords | Non-MeSH keywords would go here |
The asterisk (*) after a name means it's the primary (or one of the most important) topics in the paper.
PMID (PubMed ID) is a unique numerical identifier assigned to every record within the PubMed database (e.g., 39431696).
You can check the full instructions here.
In my opinion, one of the best things about it is the ability to use it directly in PubMed. On their instructions page, you can find a link in this section:
Want to use it in PubMed?
From there, you can drag it to your favorites/bookmarks bar, select the papers using the PubMed selection boxes, click the link, and have the table ready for ya!
I will be cheering for your research from here! ;)