Association of the presence of microangiopathy with adverse pregnancy outcome in type 1 diabetes: A meta-analysis
Bibliographic record
Abstract
OBJECTIVE: Microangiopathy is common after a long duration in type 1 diabetes mellitus (T1DM). Pregnancies with end-age vascular complications are a big challenge to multidisciplinary physicians. The objective of this study was to assess the risk of microangiopathy for adverse pregnancy outcome in T1DM. MATERIALS AND METHODS: PubMed, EMBASE, and Cochrane Library databases were searched for relevant articles appearing in the literature up to October 1, 2017. Analysis of cohort studies were performed with Review Manager 5.3 and Newcastle Ottawa Scale (NOS) was chosen to evaluate the risk of bias. RESULTS: A total of 10 studies involving 3239 pregnancies were retrieved and analyzed. Microangiopathy for diabetic nephropathy (DN), microalbuminuria and diabetic retinopathy (DR) significantly increased the risk of preeclampsia (PE) (OR of 7.19, [95%CI: 5.15, 10.03], 4.19, [95%CI: 2.78, 6.31] and 3.02, [95%CI: 2.24, 4.07], respectively). Significant association of the presence of DN with preterm delivery was demonstrated (OR = 4.14, 95%CI [2.84, 6.02]), with small for gestation age was demonstrated (OR = 6.23, 95%CI [2.75, 14.14]) and with large for gestation age was demonstrated (OR = 0.41, 95%CI [0.27, 0.62]). A mild association of the presence of DR with preterm delivery was demonstrated (OR = 1.57, 95%CI [1.08, 2.29]). CONCLUSION: The presence of microangiopathy before or in early pregnancy increased the risk of adverse pregnancy outcome in T1DM. We highlighted it was important that White's classification and a full assessment of vasculopathy should be carry out before pregnancy to ensure a well-planned pregnancy. Further work should be designed to establish risks model involving microangiopathy and find out whether early intervention with strict blood sugar control or medication such as low-dose aspirin will reduce the incidence of PE in T1DM.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.010 | 0.020 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.014 | 0.051 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".