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Record W4205908743 · doi:10.1002/cl2.1082

Effectiveness of interventions to manage acute malnutrition in children under 5 years of age in low‐ and middle‐income countries: A systematic review

2020· review· en· W4205908743 on OpenAlexafffund
Jai K Das, Rehana A Salam, Marwah Saeed, Faheem Ali Kazmi, Zulfiqar A Bhutta

Bibliographic record

VenueCampbell Systematic Reviews · 2020
Typereview
Languageen
FieldNursing
TopicChild Nutrition and Water Access
Canadian institutionsSickKids FoundationCentre for Global Health ResearchHospital for Sick Children
FundersDepartment for International DevelopmentAustralian Agency for International DevelopmentHospital for Sick ChildrenUNICEFStyrelsen för Internationellt UtvecklingssamarbeteFondazione CariparmaBill and Melinda Gates FoundationInternational Centre for Diarrhoeal Disease Research, BangladeshUnited States Agency for International Development
KeywordsMalnutritionPsychological interventionLow and middle income countriesSevere Acute MalnutritionLow incomeMedicinePsychologyEnvironmental healthGerontologySocioeconomicsEconomic growthEconomicsNursingDeveloping country

Abstract

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Background Childhood malnutrition is a major public health concern as it is associated with significant short- and long-term morbidity and mortality. Objectives To comprehensively review the evidence for the management of severe acute malnutrition (SAM) and moderate acute malnutrition (MAM) according to the current World Health Organization protocol using facility- and community-based approaches as well as the effectiveness of ready-to-use therapeutic food (RUTF), ready-to-use supplementary food (RUSF), prophylactic antibiotic use and vitamin A supplementation. Search methods We searched relevant electronic databases till 11 February 2019. No date or language restrictions were applied. Selection criteria We included randomised controlled trials (RCTs) and quasi-experimental studies including controlled before-after (CBA) studies and interrupted time series (ITS) studies. Data collection and analysis Two review authors independently screened studies for relevance, extracted data, assessed risk of bias and rated the quality of the evidence using the GRADE approach. We carried out statistical analysis using Review Manager software and set out the main findings of the review in “Summary of findings” tables. Main results This review summarises findings from a total of 42 studies (48 papers) including 35,017 children. Thirty-three of the included studies were RCTs; six studies were quasi-experimental and three studies were cost studies. Majority of the studies were judged to be at high risk of bias for blinding of the participants, personnel and outcome assessment. Majority of the outcomes were rated as either moderate or low quality. Outcomes were downgraded mainly due to study limitations, high heterogeneity, imprecision and small sample size. Community-based strategies to screen and manage SAM/MAM versus no community-based strategies (two studies) : Integrated community-based management probably improves recovery rate by 4% [risk ratio (RR): 1.04; 95% confidence interval (CI): 1.00 to 1.09; one study; 1,957 participants; moderate-quality outcome], and reduces weight gain by 0.8 g·kg −1 ·day −1 [mean difference (MD): −0.80 g·kg −1 ·day −1 ; 95% CI: −0.82 to −0.78; one study; 1,957 participants; moderate-quality outcome] compared with no community-based strategies, while mortality was similar between the two groups (RR: 0.93; 95% CI: 0.60 to 1.45; one study; 1,957 participants; moderate-quality outcome). Facility-based strategies to screen and manage uncomplicated SAM versus other standard of care (four studies) : There was no evidence of effect on recovery (RR: 1.00; 95% CI: 0.80, 1.25; one study; 60 participants; very-low-quality evidence) and mortality (RR: 1.21; 95% CI: 0.75 to 1.94; two studies; 473 participants; low-quality outcome). Facility-based management with RUTF versus F100 (“catch-up” formula to rebuild wasted tissues containing 100 kcal and 2.9 g protein per 100 ml) for SAM (three studies) : There was no evidence of effect on weight gain (MD: 2 g·kg −1 ·day −1 ; 95% CI: −0.23 to 4.23; three studies; 266 participants; very-low-quality outcome) and mortality (RR: 1.20; 95% CI: 0.34 to 4.22; two studies; 168 participants; low-quality outcome). Community-based management of SAM with standard RUTF compared with other foods (14 studies) : There was no evidence of effect on recovery rate when standard RUTF was compared to non-milk/peanut butter-based RUTF (RR: 1.03; 95% CI: 0.99 to 1.08; five studies; 5743 participants; I 2 50%; moderate quality outcome), energy-dense, home-prepared food (RR: 1.14; 95% CI 0.95 to 1.36; four studies; 959 participants; I 2 75%; low quality outcome), or high oleic RUTF (RR: 1.06; 95% CI: 0.85 to 1.31; one study; 141 participants; moderate quality outcome). Standard RUTF may improve weight gain by 0.5 g·kg −1 ·day −1 (MD: 0.5 g·kg −1 ·day −1 ; 95% CI: 0.02 to 0.99; three studies; 3,069 participants; low-quality outcome) when compared with non-milk/peanut butter-based RUTF and by 5.5 g·kg −1 ·day −1 when compared with F100 (MD: 5.50 g·kg −1 ·day −1 ; 95% CI: 2.92 to 8.08; one study; 70 participants; low-quality outcome). There was no evidence of effect on mortality when standard RUTF was compared with other foods (RR: 0.99; 95% CI: 0.69 to 1.41; nine studies; 7,667 participants; low-quality outcome). RUSF for MAM compared with other foods (14 studies) : There was no evidence of effect on recovery rate when standard RUSF was compared with local/home made food (RR: 0.92; 95% CI: 0.64 to 1.33; three studies; 435 participants; low-quality outcome) and whey RUSF (RR: 0.96; 95% CI: 0.92 to 1.00; one study; 2230 participants; high-quality outcome); while standard RUSF may improve recovery by 7% when compared with corn–soy blend (CSB) (RR: 1.07; 95% CI: 1.02 to 1.13; six studies; 5,744 participants; low-quality outcome). There was no evidence of effect on weight gain when standard RUSF was compared with local home made food (MD: −0.75 g·kg −1 ·day −1 ; 95% CI: −2.03 to 0.43; one study; 73 participants; low-quality outcome) and whey RUSF (MD: −0.16 g·kg −1 ·day −1 ; 95% CI: −0.33 to 0.01; one study; 2,230 participants; high-quality outcome); while standard RUSF may improve weight gain by 0.49 g·kg −1 ·day −1 when compared with CSB (MD: 0.49 g·kg −1 ·day −1 ; 95% CI: 0.10 to 0.87; five studies; 4,354 participants; low-quality outcome). There was no evidence of effect on mortality when standard RUSF was compared with other foods (RR: 0.98; 95% CI: 0.57 to 1.68; eight studies; 8,310 participants; moderate-quality outcome). Prophylactic antibiotic versus no antibiotic (three studies) : Prophylactic antibiotic therapy for uncomplicated SAM improves recovery rate by 6% (RR: 1.06; 95% CI: 1.03 to 1.08; two studies; 5,166 participants; high-quality outcome), probably improves weight gain by 0.67 g·kg −1 ·day −1 (MD: 0.67 g·kg −1 ·day −1 ; 95% CI: 0.28, 1.06; two studies; 5,052 participants; moderate-quality outcome) and probably reduces mortality by 26% (RR: 0.74; 95% CI: 0.55, 0.98; three studies; 6944 participants; moderate quality outcome) compared to no antibiotics group. High-dose vitamin A versus low-dose vitamin A (two studies) : There was no evidence of effect on weight gain (MD: 0.05 g·kg −1 ·day −1 ; 95% CI: −0.08 to 0.18; one study; 207 participants; moderate-quality outcome) and mortality (RR: 7.07; 95% CI: 0.37 to 135.13; one study; 207 participants; moderate-quality outcome). Authors’ conclusions Limited data show some benefit of integra

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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)0.010
metaresearch head score (Gemma)0.042
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.012
Threshold uncertainty score0.051

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.042
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0120.010
Bibliometrics0.0070.006
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0020.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.044
GPT teacher head0.345
Teacher spread0.301 · 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 designSystematic review
Domainnot available
GenreReview

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".

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Citations12
Published2020
Admission routes2
Has abstractyes

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