Prenatal Maternal Occupational Exposure and Postnatal Child Exposure to Elemental Mercury
Bibliographic record
Abstract
OBJECTIVES: Young children are highly vulnerable to elemental mercury toxicity, and elementary mercury exposure in young children in China unfortunately occurs regularly because of the wide use of fluorescent lamps, glass thermometers, and other mercury-contained items. This study aimed to summarize such recent cases in a referral clinic and to make recommendations for postexposure treatment and prevention of future exposure. METHODS: Patients were evaluated between January 2007 and December 2009 in environmental health facilities throughout China and were referred to our clinic. A total of 6 children younger than 4 years with significant elemental mercury exposure were included in this case series analysis. The total mercury content in blood and hair (fetal hair if necessary) and average 24-hour urine mercury concentrations were analyzed. Meso-2,3-dimercaptosuccinic acid or surgery was prescribed for the patient if necessary. RESULTS: Young children were found to be exposed in 3 ways as follows: prenatal exposure through maternal occupational contact in compact fluorescent-lamp factories (2 cases), broken thermometers (3 cases), and other causes of accidental inhalation of mercury vapor during the embryonic and lactation periods (1 case). For 3 cases caused by broken thermometers, x-ray images helped to identify the position of mercury residues. Local excision was used to remove mercury from the floor of the mouth in 1 case. One child was prescribed oral meso-2,3-dimercaptosuccinic acid, and a good response was received. CONCLUSIONS: Substitution of mercury-in-glass thermometers and vigilance to prevent women of childbearing age from occupational mercury exposure were suggested. Treatment selection should vary according to patient situations.
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 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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".