RETRACTED ARTICLE: Effect of multivitamin versus multivitamin-mineral supplementation on metabolic profiles and biomarkers of oxidative stress in pregnant women: a double-blind randomized clinical trial
Post-publication record
Source: Retraction Watch, joined by DOI. OpenAlex records retraction as is_retracted, a boolean over a state space with at least four values, so it cannot express an expression of concern, a correction or a reinstatement; it reports them as false, which reads as “fine”.
Bibliographic record
Abstract
OBJECTIVE: This study was designed to determine the favorable effects of received multivitamin versus multivitamin-mineral supplements on metabolic profiles and biomarkers of oxidative stress among Iranian pregnant women. METHODS: This double-blind randomized-controlled clinical trial was conducted among 70 pregnant women, primigravida, aged 18-35 years old between 16 and 37 weeks gestation. Subjects were randomly assigned to receive either the multivitamin (n = 35) or multivitamin-mineral supplements (n = 35) for 20 weeks. Fasting blood samples were taken at baseline and after a 20-week intervention to measure lipid profiles and biomarkers of oxidative stress. RESULTS: After 20 weeks of intervention, multivitamin-mineral supplementation resulted in a significant difference on serum triglycerides levels (changes from baseline in multivitamin-mineral group: +6.1 versus in multivitamin group: +45.9 mg/dl, p = 0.04) compared with the multivitamin group. In addition, increased concentrations of serum HDL-cholesterol (changes from baseline in multivitamin-mineral group: +0.1 versus in multivitamin group: -7.4 mg/dl, p = 0.02) and total glutathione (GSH) levels (changes from baseline in multivitamin-mineral group: +151.09 versus in multivitamin group: -116.21 µmol/l, p = 0.003) were also seen in the multivitamin-mineral group compared with the multivitamin group. CONCLUSION: Supplementation of multivitamin-mineral compared to multivitamin supplementation for 20 weeks during pregnancy had beneficial effects on triglycerides, HDL-cholesterol and GSH levels.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.014 | 0.001 |
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".