C&CAUSES & WHAT WE KNOW
Causes & What We Know/September 4, 2026/3 min read

A Major New Database Is Mapping Diabetes Complications Across Diverse Populations

Researchers in North West London have created a large health database tracking over 337,000 people with diabetes to better understand how complications develop and differ across ethnic groups.

PubMed indexed literature

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Key takeaways

  • The North West London Diabetes Cohort includes data from 17,638 people with Type 1 diabetes, along with hundreds of thousands with other diabetes types, making it one of the largest multiethnic diabetes databases in the UK.
  • Researchers are tracking 14 major diabetes complications over time in this population, which will help identify patterns in who develops which complications and when.
  • The diverse makeup of this cohort—spanning many ethnic backgrounds—allows scientists to examine whether diabetes complications affect different communities differently, an important step toward fairer healthcare.
  • This database focuses on describing real patient populations in detail, rather than just testing prediction models, filling a gap that many diabetes research studies have overlooked.
  • Data spans from diagnoses dating back to 1932, with information current through May 2025, providing decades of health records to learn from.

Building a Foundation for Better Understanding

The North West London Diabetes Cohort represents a significant effort to create a detailed map of diabetes and its complications across a large, diverse population. Established to support research into how complications develop and to improve prediction models, this cohort includes 337,271 people with diabetes tracked through electronic health records.

What sets this database apart is its emphasis on thoroughly describing the populations it contains. Rather than jumping straight to building prediction tools, the researchers first carefully documented who these patients are, what their health looks like at the start, and what complications they develop over time. This foundational work is essential but often overlooked in diabetes research.

Who Is Included in This Database?

The cohort includes 17,638 people with Type 1 diabetes, 279,067 with Type 2 diabetes, 33,590 with gestational diabetes, and 6,916 with unspecified diabetes. This mix allows researchers to study not just one type of diabetes but to compare patterns across different forms of the disease.

A key strength is the ethnic and cultural diversity of the population. The North West London area has people from many different backgrounds, which means researchers can examine whether diabetes and its complications affect different communities in similar or different ways—an important question that hasn't always received enough attention in medical research.

What Information Is Being Tracked?

For each person in the cohort, researchers have collected information on age, sex, ethnicity, and deprivation level—factors that can influence health outcomes. They've also recorded clinical measurements like blood sugar control (measured by glycated haemoglobin), weight, blood pressure, cholesterol levels, and kidney function.

Fourteen major diabetes complications are being tracked over time, allowing researchers to understand which complications are most common and how they develop in this population. For people with Type 2 diabetes, early findings show that diabetic retinopathy (an eye complication) is the most frequently observed complication.

Why This Matters for the Type 1 Diabetes Community

While this cohort includes both Type 1 and Type 2 diabetes, the data on over 17,000 people with Type 1 diabetes offers a valuable resource for understanding complications in this community. With decades of health records—some dating back to 1932—researchers can study long-term patterns that wouldn't be visible in smaller or shorter studies.

The focus on ethnic disparities is particularly important. If certain groups experience complications at different rates or at different ages, that information can help healthcare systems provide more targeted and equitable care. This database creates the detailed foundation needed to ask and answer those questions.

Evidence label

Source: BMJ open. Evidence type: PubMed indexed literature. Type1Cure is an information and intelligence hub, not a medical advice service. This article summarizes published research and does not provide diagnosis, treatment, or personal medical guidance. Always talk to your own care team before changing anything about your Type 1 diabetes management.

Type1Cure is an information and intelligence hub, not a medical advice service. This article summarizes published research and does not provide diagnosis, treatment, or personal medical guidance. Always talk to your own care team before changing anything about your Type 1 diabetes management.

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