Biomarkers of Growth Faltering and Neurodevelopmental Delay inChildren who are HIV-Exposed but Uninfected: A Systematic Review
Bibliographic record
Abstract
INTRODUCTION: Children who are HIV-exposed but uninfected (CHEU) are at risk of linear growth faltering and neurodevelopmental delay. Circulating biomarkers associated with these adverse outcomes may elucidate pathways of injury. OBJECTIVE: To identify biomarkers associated with growth faltering and neurodevelopmental delay in CHEU. METHODS: We performed a systematic review of electronic databases MEDLINE (1946-April 2021), EMBASE (1974-April 2021), Scopus (2004-April 2021), and PubMed (1985-April 2021), following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. The systematic review was registered on the International Prospective Register of Systematic Reviews (PROSPERO, registration number CRD42021238363). RESULTS: We found seven studies associating biomarker abnormalities and growth outcomes in CHEUs and two studies on biomarker abnormalities and neurodevelopmental delay. Biomarker abnormalities associated with growth restriction were: C-reactive protein (CRP), tumour necrosis factor (TNF), interferon-gamma (IFN-γ), interleukin (IL)-12p70, IFN-γ-induced protein-10 (CXCL10/IP-10), lipopolysaccharide binding protein (LBP), insulin-like growth factor-1 (IGF-1), and IGF-binding protein-1 (IGFBP-1). Biomarkers associated with motor, language, and cognitive delay were CRP, IFN-γ, IL-1β, -2, -4, -6, -10, -12p70, neutrophil gelatinase-associated lipocalin (NGAL), granulocyte-macrophage colony-stimulating factor (GM-CSF), and matrix metalloproteinase- 9 (MMP-9). CONCLUSION: Elevated markers of inflammation (acute phase reactants, pro-inflammatory cytokines, chemokines) and intestinal microbial translocation are associated with growth faltering. Elevated markers of inflammation are associated with adverse neurodevelopment.
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How this classification was reachedexpand
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".