Advances in understanding the genetic basis for bone-marrow failure
Bibliographic record
Abstract
PURPOSE OF REVIEW: Congenital infection with cytomegalovirus is a major cause of disability in newborns. Recently, there has been increased emphasis on the study of postnatally acquired cytomegalovirus infection. One route by which cytomegalovirus infections are acquired in newborns is via consumption of breast milk from cytomegalovirus-seropositive, lactating mothers. The purpose of this review is to summarize recent studies of breast-milk-acquired cytomegalovirus infections in newborns, particularly in low-birth-weight premature infants. RECENT FINDINGS: Nearly all cytomegalovirus-seropositive women will reactivate and shed cytomegalovirus during lactation, as demonstrated by sensitive polymerase chain reaction techniques, as well as by viral culture of breast milk. A substantial proportion of infants exposed to cytomegalovirus in breast milk will acquire a primary cytomegalovirus infection. Although acquisition of cytomegalovirus by this route is seldom of consequence in healthy term infants, cytomegalovirus infections in low-birth-weight premature infants have been demonstrated to cause symptomatic illness, including hepatitis, neutropenia, thrombocytopenia, and a 'sepsis-like' state. SUMMARY: Cytomegalovirus is commonly shed in human milk, and cytomegalovirus-seropositive women can transmit this infection via breast-feeding. The benefits of breast-feeding greatly outweigh the minimal risk, if any, of infections transmitted to term infants. Caution is warranted, however, in low-birth-weight premature infants, who are at increased risk of cytomegalovirus disease. Interventions to screen breast milk, or to attempt to render breast milk noninfectious through treatments such as freezing, may be warranted in high-risk premature infants.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 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 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".