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Record W4394873351 · doi:10.1111/mcn.13641

Effectiveness of a nonweight‐based daily dosage of ready‐to‐use therapeutic food in children suffering from uncomplicated severe acute malnutrition: A nonrandomized, noninferiority analysis of programme data in Afghanistan

2024· article· en· W4394873351 on OpenAlexfundno aff
Paluku Bahwere, Grace Funnell, Ahmad Nawid Qarizada, Sophie Woodhead, Wilfred Bengnwi, Minh Tram Le

Bibliographic record

VenueMaternal and Child Nutrition · 2024
Typearticle
Languageen
FieldNursing
TopicChild Nutrition and Water Access
Canadian institutionsnot available
FundersJapan International Cooperation AgencyUNICEFGlobal Affairs CanadaUnited States Agency for International Development
KeywordsMedicineSevere Acute MalnutritionMalnutritionConfidence intervalProtocol (science)PediatricsInternal medicine

Abstract

fetched live from OpenAlex

Severe acute malnutrition (SAM) remains a major global public health problem. SAM cases are treated using ready-to-use therapeutic food (RUTF) at a dosage of ∼200 kcal/kg/day per the standard treatment protocol (STD). Emerging evidence on simplifications to the standard protocol, which among other adaptations, includes reducing the daily RUTF dosage, indicates that it is effective and safe for treating children with SAM. In response to a foreseen stock shortage of RUTF, the government of Afghanistan endorsed the temporary use of a modified treatment protocol in which the daily RUTF dosage was prescribed at 1000 kcal/day (irrespective of body weight) until the child achieved moderate acute malnutrition status (weight-for-height z-score ≥ -3 or mid-upper arm circumference [MUAC] ≥ 115 mm), at which point 500 kcal/day was prescribed until cured (modified treatment protocol [MTP]). In this paper, we report the results of this nonweight-based daily RUTF dosage experience. Data of 2042 children with SAM, treated using either the STD protocol (n = 269) or the MTP protocol (n = 1773) from August 2019 to March 2021 in five provinces, were analyzed. The per-protocol analyses confirmed noninferiority of MTP protocol when compared to STD protocol for recovery rate [93.3% vs. 90.2%; ∆ (95% confidence interval, CI) = 3.1 (-0.9; 7.2) %] and length-of-stay [82.6 vs. 75.6 days; ∆ (95% CI) = 6.9 (3.3; 10.5) days], considering the margin of noninferiority of -10% and +14 days, respectively. Weight gain velocity was smaller in the MTP protocol group than in the STD protocol group [3.7 (1.7) vs. 5.2 (2.9) g/kg/day; ∆ (95% CI) = -1.5 (-1.8, -1.2); p < 0.001]. The STD group had a significantly higher mean than the MTP group for absolute MUAC gain [∆ (95% CI) = 1.7 (1.0; 2.3) mm; p < 0.001] and the MUAC velocity [∆ (95% CI) = 0.29 (0.20; 0.37) mm/week; p < 0.001]. Our results confirm the noninferiority of a nonweight-based daily dosage and support the endorsement of this modification as an alternative to the standard protocol in resource-constrained contexts.

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)0.005
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.019
GPT teacher head0.274
Teacher spread0.255 · 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 designNon-randomized trial
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

Citations5
Published2024
Admission routes1
Has abstractyes

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