Low gestational weight gain and the risk of preterm birth and low birthweight: a systematic review and meta‐analyses
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Low gestational weight gain is common, with potential adverse perinatal outcomes. OBJECTIVE: To determine the relation between low gestational weight gain and preterm birth and low birthweight in singletons in developing and developed countries. DATA SOURCES: Medline, EMBASE and reference lists were searched, identifying 6,283 titles and abstracts. METHODS OF STUDY SELECTION: Following the MOOSE consensus statement, two assessors independently reviewed titles, abstracts, full articles, extracted data and assessed quality. RESULTS: Fifty-five studies, 37 cohort and 18 case-control, were included, involving 3,467,638 women. In the cohort studies (crude data, generally supported where available by adjusted data and case-control studies), women with low total gestational weight gain had increases in preterm birth <37 weeks [RR 1.64 (95%CI 1.62-1.65)], 32-36 weeks [RR 1.39 (95%CI 1.38-1.40)] and ≤ 32 weeks [RR 3.80 (95%CI 3.72-3.88)]. Low total gestational weight gain was associated with increased risks of low birthweight <2,500 g [RR 1.85 (95%CI 1.72-2.00)], in developing and developed countries [RR 1.84 (95%CI 1.71-1.99) and RR 3.02 (95%CI 1.37-6.63), respectively], 1,500-2,500 g [RR 2.02 (95%CI 1.88-2.17)] and <1,500 g (RR 2.00 (95%CI 1.67-2.40)]. Women with low weekly gestational weight gain were at increased risk of preterm birth [RR 1.56 (95%CI 1.26-1.94)], 32-36 weeks [RR 2.43 (95%CI 2.37-2.50)] and ≤ 32 weeks [RR 2.31 (95%CI 2.20-2.42)] but not low birthweight [RR 1.64 (95%CI 0.89-3.02)]. CONCLUSIONS: In this systematic review, we determined that singletons born to women with low total gestational weight gain have higher risks of preterm birth and low birthweight, with the lower the gain, the higher the risks.
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.
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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.005 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it