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Record W4412493128 · doi:10.1136/bmjgh-2024-017375

Aflatoxin exposure and mortality in acutely ill children: results from the CHAIN network cohort

2025· article· en· W4412493128 on OpenAlexaff
Lei Xia, Hang Wu, Ali Faisal Saleem, Ezekiel Mupere, Christina Lancioni, Isabel Potani, Asad Ali, Wieger Voskuijl, Mohammod Jobayer Chisti, Abu Sadat Mohammad Sayeem Bin Shahid, Molline Timbwa, Shalton Mwaringa, Caroline Tigoi, Moses M. Ngari, Benson Singa, Kirkby D. Tickell, James M. Njunge, Robert Bandsma, Tahmeed Ahmed, James A. Berkley, Judd L. Walson, Yun Yun Gong, Michael N. Routledge

Bibliographic record

VenueBMJ Global Health · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicMycotoxins in Agriculture and Food
Canadian institutionsHospital for Sick Children
FundersBill and Melinda Gates Foundation
KeywordsWastingMedicineCohortAflatoxinInternal medicineCohort studyPediatricsBiology

Abstract

fetched live from OpenAlex

BACKGROUND: Chronic exposure to aflatoxins is associated with liver cancer, impaired child growth, and compromised immune function. The Childhood Acute Illness and Nutrition (CHAIN) Network cohort was established to identify risk factors for mortality in acutely ill children admitted to nine hospitals in four African and two South Asian countries. We examined the role of aflatoxin exposure in inpatient and post-discharge mortality. METHODS: In a nested case-cohort from the CHAIN cohort, we compared aflatoxin exposure at admission and discharge with death or survival in hospital (n=755) or up to 180-days post-discharge (n=585) and with community participants (CP, n=222). Children were stratified into non-wasting, medium-wasting and severe-wasting groups based on mid-upper arm circumference. Serum samples were analysed for an aflatoxin exposure biomarker, the aflatoxin-albumin adduct (AF-alb) using ELISA. FINDINGS: Overall, 56% of hospitalised participants tested positive for AF-alb at admission. The AF-alb level was higher in deceased (geometric mean and 95% CI (GM and 95% CI) 5.9 (4.9 to 7.1)) than in survivors (4.2 (3.8 to 4.7)) and CP (3.7 (3.1 to 4.3)) pg/mg alb. AF-alb concentration was higher at admission (4.7, (4.2 to 5.1)) than at discharge (3.7, (3.3 to 4.1)) and in the CP group (3.7, (3.1 to 4.3)) pg/mg alb (p<0.01) and in African vs Asian children (7.4 (6.5 to 8.5) vs 1.9 (1.8 to 2.1)) (p<0.001). Adjusted logistical regression showed no significant association between AF-alb levels and mortality, but after separating the nutrition strata, AF-alb was significantly associated with mortality (highest vs lowest quartile group OR=4.84, p=0.014) in non-wasted children. INTERPRETATION: Moderate to severe malnutrition is a more important risk factor for mortality than aflatoxin in acutely ill children, but aflatoxin exposure may contribute to mortality in non-wasted children. Controlling aflatoxin exposure should be integrated into clinical and public health interventions to reduce mortality in areas with high levels of exposure. FUNDING: Bill and Melinda Gates Foundation (OPP1131320 & INV-003225).

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.068
Threshold uncertainty score0.136

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.015
GPT teacher head0.294
Teacher spread0.279 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations3
Published2025
Admission routes1
Has abstractyes

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