Association of metabolic score for insulin resistance with gestational diabetes mellitus: a systematic review and meta-analysis
Bo Dai, Peng Zhang, Haijiao Wang, Jian Sun, Ye Zhang, Yang Xiao, Shilin Liu, Haoru Cong, Yutong Li, Xiangman He, Tan Wang, Zheng Nan, Le Liu · 2026
Read Association of metabolic score for insulin resistance with gestational diabetes mellitus: a systematic review and meta-analysis by Bo Dai, Peng Zhang, Haijiao Wang, Jian Sun, Ye Zhang, Yang Xiao, Shilin Liu, Haoru Cong, Yutong Li, Xiangman He, Tan Wang, Zheng Nan, Le Liu (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13254273.txt.
Description
Bo Dai and a large team meta-analyze the link between an insulin resistance score and gestational diabetes in a 2026 systematic review. The score, called METS-IR, combines routine metabolic measures into a single index of how resistant the body is to insulin. The team searched four databases through March 2026.
Six studies covering 93,995 pregnant women qualified. Pooling them, women in the highest score category had about two and a half times the odds of gestational diabetes of women in the lowest category. The association held across cohort designs and in large studies with tight consistency, and sensitivity checks left the estimate stable. One subgroup bucked the pattern: American studies produced a similar-sized estimate that was marginally non-significant, based on few studies with wide uncertainty. The authors conclude the score is a promising early flag for gestational diabetes risk.
Catalog record
| CREATOR | Bo Dai, Peng Zhang, Haijiao Wang, Jian Sun, Ye Zhang, Yang Xiao, Shilin Liu, Haoru Cong, Yutong Li, Xiangman He, Tan Wang, Zheng Nan, Le Liu |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 30 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |