Evidence map›Paper›PMID 41048665›Full record

ArticleEClinicalMedicine2025

Comparative growth of children who are HIV-exposed and uninfected with those who are HIV-unexposed and uninfected at age 1 and 2 years in South Africa: a prospective cohort study.

Anna Carlqvist, INTERBIO-21st Consortium, Shane Norris, Maria A Quigley, Joris Hemelaar

Abstract read
In one paragraph

Article in EClinicalMedicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Anna CarlqvistNational Perinatal Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
INTERBIO-21st Consortium
Shane NorrisSAMRC Developmental Pathways for Health Research Unit, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
Maria A QuigleyNational Perinatal Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Joris HemelaarNational Perinatal Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The effects of maternal HIV infection and antiretroviral therapy (ART) on growth of children who are HIV-exposed and uninfected (CHEU) are uncertain. We aimed to explore the association between in utero exposure to maternal HIV and child growth in the context of ART for all pregnant women living with HIV regardless of CD4 count. Methods: We compared growth at 1 and 2 years of age between CHEU and children who are HIV-unexposed and uninfected (CHUU) in a prospective cohort study (INTERBIO-21st), conducted in Soweto, South Africa, with recruitment of pregnant women between 21 May 2013 and 21 December 2015. Length-for-age (LAZ), weight-for-age (WAZ), weight-for-length (WLZ) and head circumference-for-age (HCAZ) Z-scores, based on the World Health Organization (WHO) Child Growth Standards, were compared longitudinally using age-specific and mixed linear regression. Prevalence of stunting, underweight, wasting and overweight were compared at 1 and 2 years. Findings: At 1 and 2 years of age, 398 (143 CHEU, 255 CHUU) and 286 (82 CHEU, 204 CHUU) children, respectively, were followed up. CHEU and CHUU had LAZ and WAZ scores considerably below the WHO standardised median at 1 year (CHEU: mean (SD) LAZ -1.13 (1.39), WAZ -0.29 (1.33); CHUU: LAZ -0.87 (1.33), WAZ -0.15 (1.20)) and 2 years (CHEU: LAZ -1.00 (1.24), WAZ -0.52 (1.05); CHUU: LAZ -0.94 (1.33), WAZ -0.34 (1.19)), whereas WLZ scores were above the median at year 1 only (CHEU 0.34 (1.27), CHUU 0.42 (1.28). There were no statistically significant differences in growth between CHEU and CHUU, although there was a trend to lower LAZ (adjusted mean difference [aMD] -0.19 [95% CI: -0.43, 0.06]), WAZ (aMD -0.09 [95% CI: -0.30, 0.15]), WLZ (aMD -0.06 [95% CI: -0.30, 0.18]) and HCAZ (aMD -0.14 [95% CI: -0.36, 0.08]) scores in CHEU. Stunting prevalence was high in both groups at both timepoints (1 year CHEU 29.3% [95% CI: 22.4%, 37.3%], CHUU 19.4% [95% CI: 15.0%, 24.8%]; 2 years CHEU 18.8% [95% CI: 11.7%, 28.7%], CHUU 20.5% [95% CI: 15.5%, 26.6%]). The risk of stunting, underweight and wasting was higher in CHEU at 1 year, but not significant in analyses adjusted for maternal age, height, weight, nulliparity, smoking, alcohol use, socioeconomic status, education, marital status, child sex and age (stunting adjusted odds ratio [aOR] 1.56 [95% CI: 0.91, 2.68], underweight aOR 1.69 [95% CI: 0.71, 4.03], wasting aOR 3.64 [95% CI: 0.62, 31.2]), and risks were similar between the groups at 2 years (stunting aOR 0.77 [95% CI: 0.35, 1.61], underweight aOR 1.01 [95% CI: 0.34, 2.70], wasting aOR 0.93 [95% CI: 0.11, 5.39]). At 2 years, CHEU had lower risk of overweight (adjusted OR 0.12 [95% CI: 0.00, 0.89]). Interpretation: No significant differences in growth were observed between CHEU and CHUU children up to 2 years. The prevalence of stunting was high in both groups. Key limitations of this study include limited data on maternal ART and infant breastfeeding, which may have introduced residual confounding. Future studies should aim to identify children that are most at risk of growth impairment to enable the development of targeted interventions for optimising growth and healthy development. Funding: Gates Foundation, Oxford-MRC Doctoral Training Partnership.

Indexed as

ChildGrowthHIVHIV exposed uninfected

Identifiers

PMID41048665
PMCPMC12494935

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.