Micronutrient screening, monitoring, and supplementation in pregnancy after bariatric surgery
Bibliographic record
Abstract
We present the case of a woman with a history of biliopancreatic diversion and duodenal switch procedure who developed severe malnourishment requiring total parenteral nutrition during three pregnancies. The widespread use of bariatric surgery, particularly among those of reproductive age, has led to an increase in the number of women who become pregnant following bariatric surgery. There is a paucity of evidence to guide nutritional recommendations for women during pregnancy post bariatric surgery. We review this literature and summarize key published evidence and provide comprehensive recommendations concerning the common challenges in the management of nutrition status during pregnancy. The focus is on the impact of malabsorptive bariatric surgeries on pregnancy outcomes, nutrient deficiencies, recommendations for micro- and macronutrient monitoring and supplementation, and altered glucose metabolism and implications for diabetes screening. Optimizing pregnancy outcomes for individuals following bariatric surgery requires multidisciplinary team management including obstetrical providers, obstetric medicine specialists, and dietitians.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".