A living systematic review of prevention, diagnosis and treatments for every disease.

Pitts offers web application software for record screening and data-extraction specially developed for living systematic review and (network) meta-analysis.

At this moment we are only able to support larger teams and projects. You can request a consultation below if this applies to you. 
If you would like to be notified when we open up for smaller teams and individuals again please sign up for our waiting list.

Search

When conducting a living systematic review, checking if new evidence is published continuously is essential. Automated Search automatically executes your search strategy in bibliographic databases using application programming interface integration. We have Automated Search integrated for PubMed and are working on integrating more databases. When new studies that fit your search strategy become available, they will automatically appear in the screening workflow.

Screening

Real-time collaboration with reviewers is critical when conducting a systematic review. When starting the review, you can configure customized exclusion criteria. You can choose to do the independent blinded screening. It is easy to resolve conflicts when they arrive.

Data extraction

Setting up a data extraction form is often difficult, especially for network meta-analysis. On the Pitts platform you can easily configure the data extraction form to fit your needs. 

Using integration with ChatGPT (using OpenAI API), we make it possible to receive GPT-generated recommendations of values and sentences during data extraction for all sort of data items like population characteristics, percentage of men and women in a study, mean age of the participants in the trial etc.

Mission

Every human life has extraordinary value and is worth saving. In the past few years, the workload to synthesize reliable, unbiased, up-to-date, and complete health information has rapidly increased due to increased publications in biomedical literature. The most optimal treatment for nearly all medical conditions is unknown due to an incomplete overview of the evidence. Even less is known about disease prevention and healthy living. The incomplete overview of evidence undoubtedly resulted in non-optimal outcomes for many patients. The answer is living systematic reviews and (network) meta-analyses of diagnosis, treatments, and prevention for every disease. Our mission is to facilitate trust in medicine by building the technical infrastructure to make rigorous, complete, and up-to-date evidence synthesis possible.

Used by:

Enabling living systematic literature reviews
for evidence-based medicine

Rutger

Software Developer

Erik

AI developer

Daniël

Software Developer

Our Team

We are a small but dedicated team working on building the future of evidence-based medicine.

Piet

Chief Executive Officer

Jacob-Jan

Chief Technology Officer

Nina

Clinical Epidemiologist

Lev

Junior Researcher

Clinical expertise