Small for date preterm infants and risk of higher blood pressure in later life: A systematic review and meta‐analysis
Bibliographic record
Abstract
Abstract Background Historical reports suggest that infants born small for gestational age (SGA) are at increased risk for high blood pressure (BP) at older ages after adjustment for later age body size. Such adjustment may be inappropriate since adiposity is a known cause of cardiovascular and metabolic disease. Objectives To assess the association between SGA births and later BP among preterm births, considering potential background confounders and over‐adjustment for later body size. Methods A database search of studies up to October 2022 included MEDLINE, EMBASE and CINAHL. Studies were included if they reported BP (systolic [SBP] or diastolic [DBP]) (outcomes) for participants born preterm with SGA (exposure) or non‐SGA births. All screening, extraction steps, and risk of bias (using the Risk of Bias In Non‐randomised Studies of Interventions [ROBINS‐I] tool) were conducted in duplicate by two reviewers. Data were pooled in meta‐analysis using random‐effects models. We explored potential sources of heterogeneity. Results We found no meaningful difference in later BP between preterm infants with and without SGA status at birth. Meta‐analysis of 25 studies showed that preterm SGA, compared to preterm non‐SGA, was not associated with higher BP at age 2 and older with mean differences for SBP 0.01 mmHg (95% CI −0.10, 0.12, I 2 = 59.8%, n = 20,462) and DBP 0.01 mm Hg (95% CI −0.10, 0.12), 22 studies, ( I 2 = 53.0%, n = 20,182). Adjustment for current weight did not alter the results, which could be due to the lack of differences in later weight status in most of the included studies. The included studies were rated to be at risk of bias due to potential residual confounding, with a low risk of bias in other domains. Conclusions Evidence indicates that preterm infants born SGA are not at increased risk of developing higher BP as children or as adults as compared to non‐SGA preterm infants.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.011 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".