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Enregistrement 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 sur OpenAlex
Jai K Das, Rehana A Salam, Marwah Saeed, Faheem Ali Kazmi, Zulfiqar A Bhutta

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Notice bibliographique

RevueCampbell Systematic Reviews · 2020
Typereview
Langueen
DomaineNursing
ThématiqueChild Nutrition and Water Access
Établissements canadiensSickKids FoundationCentre for Global Health ResearchHospital for Sick Children
Organismes subventionnairesDepartment 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
Mots-clésMalnutritionPsychological interventionLow and middle income countriesSevere Acute MalnutritionLow incomeMedicinePsychologyEnvironmental healthGerontologySocioeconomicsEconomic growthEconomicsNursingDeveloping country

Résumé

récupéré en direct d'OpenAlex

Abstract 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 integrated community‐based screening, identifi

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,006
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Revue systématique · Signal consensuel: Revue systématique
GenreSignal candidat: Synthèse · Signal consensuel: Synthèse
Score de désaccord entre enseignants0,056
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0060,001
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0140,001
Bibliométrie0,0010,002
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,044
Tête enseignante GPT0,345
Écart entre enseignants0,301 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle