PSRMA

PRISMA 2020 · Open source · Free

From literature search
to meta-analysis.

PSRMA brings the main stages of a systematic review into a single workspace. Search, screen, extract and analyze your data without juggling tools.

Install PSRMAExplore the code on GitHub ↗

Free, open source and designed to run locally.

A systematic review, step by step.

From the first search to the synthesis of results, each stage builds on the decisions made before it. You keep a record of your work throughout the process.

  1. 01

    Literature search

    Query OpenAlex with your keywords. Narrow results by period, publication type or open access availability.

  2. 02

    Deduplication

    Publications found in several searches are automatically merged using their OpenAlex identifier.

  3. 03

    Title and abstract screening

    Review records one by one. Mark them as included, excluded or to review, and record exclusion reasons.

  4. 04

    Full-text review

    Move on to full-text assessment for the retained publications. Record your decisions and exclusion reasons.

  5. 05

    PRISMA diagram

    Visualize the selection pathway. The diagram is built from your decisions and can be exported as PNG or SVG.

  6. 06

    Data extraction

    Define the information to collect for each study and gather it in an editable table.

  7. 07

    Meta-analysis

    Compute effect sizes and pool results with a fixed- or random-effects model. Review the forest plot and heterogeneity indicators.

  8. 08

    Export

    Get your data as CSV, a Markdown report generated from the project, and a worksheet for the PRISMA 2020 checklist.

A workspace with no clutter.

The interface sticks to the essentials: records, screening decisions, extracted data and analysis results. No need to switch between programs to follow the progress of your review.

Title and abstract screening screen
Study screeningReview each record and make decisions as you read. Keyboard shortcuts make long lists easier to work through.
PRISMA flow diagram
Flow diagramAutomatically get the numbers from your selection process in a diagram ready to export.
Meta-analysis screen with forest plot
Meta-analysisEnter the required data, choose your model and view the statistical results and their graphical representation.

Your research stays on your machine.

PSRMA is designed for individual use, from your own computer. You stay in control of your projects and your database.

Runs locally

Projects and their data are stored in a SQLite database on your machine. No remote server needed.

No account to create

No sign-up, no mandatory login and no subscription. Install the tool and start working.

Open source

The code is available on GitHub. You can inspect how it works, check the calculations and adapt the tool to your needs.

A clearly defined scope

Literature search relies on OpenAlex. Screening decisions and the interpretation of results remain in your hands.

Your workspace, in a few commands.

Run PSRMA with Docker, or install the Python backend and the web interface separately. Pick the method that suits your environment.

Installation guideFull documentation ↗
$ git clone https://github.com/vidjinnangni/psrma.git
$ cd psrma
$ docker compose up

Then open the application in your browser at http://localhost:5173.