posted on 2020-07-17, 13:48authored bySuping Ling, Karen Brown, Joanne K Miksza, Lynne Howells, Amy Morrison, Eyad Issa, Thomas Yates, Kamlesh Khunti, Melanie J Davies, Francesco Zaccardi
<b>Background</b>: Whether the association
between type 2 diabetes (T2D) and cancer is causal remains controversial.
<p><b>Purpose: </b>To assess how
robust are the observational associations between (T2D) and cancer to
unmeasured confounding.</p>
<p><b>Data sources</b>: PubMed, Web of Science, and the
Cochrane library were systematically searched on January 10<sup>th</sup>, 2019.</p>
<p><b>Study selection: </b>Observational
studies investigating associations between T2D and cancer incidence or
mortality.</p>
<p><b>Data extraction: </b>Cohort-level relative
risk (RR). </p>
<p><b>Data Synthesis</b>: RRs were
combined in random-effects meta-analyses and pooled estimates used in bias
analyses. A total of 151 cohorts (over 32 million people, 1.1 million cancer cases
and 150,000 cancer deaths) were included. In meta-analyses, T2D was associated
with incidence of several cancers, from prostate (RR 0.83; 95% CI: 0.79, 0.88)
to liver (2.23; 1.99, 2.49); and mortality of pancreatic cancer (1.67; 1.30,
2.14). In bias analyses, assuming an unmeasured confounding associated with
both T2D and cancer with a RR of 1.5, the proportion of studies with a true
effect size larger than a RR of 1.1 (i.e., 10% increased risk in individuals
with T2D) was nearly 100% for liver, pancreatic, and endometrial; 86% for
gallbladder; 67% for kidney; 64% for colon; 62% for colorectal; and less than
50% for other cancer incidence, and 92% for pancreatic cancer mortality. </p>
<p><b>Limitations: </b>Biases other than unmeasured confounding were not analytically assessed.<b> </b></p>
<p><b>Conclusions</b>: Our findings
strongly suggest a causal association between T2D and liver, pancreatic, and endometrial
cancer incidence, and pancreatic cancer mortality; conversely, associations
with other cancers were less robust to unmeasured confounding.</p>
Funding
The Leicester Real World Evidence Unit is funded by University of Leicester, NIHR Collaboration for Leadership in Applied Health Research and Care East Midlands, and Leicester Biomedical Research Centre. This project was supported by the Leicester Institute of Advanced Studies (Tiger team). The funders of the study had no role in study design, data collection, data analysis, data interpretation, or writing of the report. The corresponding author had full access to all the data in the study and had final responsibility for the decision to submit for publication.