Evidence map›Paper›PMID 34140028›Full record

ArticleBMC nutrition2021

Weight and mid-upper arm circumference gain velocities during treatment of young children with severe acute malnutrition, a prospective study in Uganda.

Jolly G K Kamugisha, Betty Lanyero, Nicolette Nabukeera-Barungi, Harriet Nambuya-Lakor, Christian Ritz, Christian Mølgaard, Kim F Michaelsen, André Briend, Ezekiel Mupere, Henrik Friis and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC nutrition, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.1field-weighted citation impact, top 26% of its field
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

7 citing papers in PubMed, 12 citations in OpenAlex.

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  7. Weight-for-HeightCurrent developments in nutrition · 2021
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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

11 authors at 5 institutions in 3 countries.

Jolly G K KamugishaMwanamugimu Nutrition Unit, Department of Pediatrics, Mulago National Referral Hospital, P.O. Box 7051, Kampala, Uganda. jolly_kamugisha@yahoo.com.
Betty LanyeroMwanamugimu Nutrition Unit, Department of Pediatrics, Mulago National Referral Hospital, P.O. Box 7051, Kampala, Uganda.
Nicolette Nabukeera-BarungiDepartment of Pediatrics and Child Health, College of Health Sciences, Makerere University, P.O. Box 7072, Kampala, Uganda.
Harriet Nambuya-LakorMwanamugimu Nutrition Unit, Department of Pediatrics, Mulago National Referral Hospital, P.O. Box 7051, Kampala, Uganda.
Christian RitzDepartment of Nutrition, Exercise and Sports, University of Copenhagen, 1958, Frederiksberg C, Denmark.
Christian MølgaardDepartment of Nutrition, Exercise and Sports, University of Copenhagen, 1958, Frederiksberg C, Denmark.
Kim F MichaelsenDepartment of Nutrition, Exercise and Sports, University of Copenhagen, 1958, Frederiksberg C, Denmark.
André BriendDepartment of Nutrition, Exercise and Sports, University of Copenhagen, 1958, Frederiksberg C, Denmark.
Ezekiel MupereDepartment of Pediatrics and Child Health, College of Health Sciences, Makerere University, P.O. Box 7072, Kampala, Uganda.
Henrik FriisDepartment of Nutrition, Exercise and Sports, University of Copenhagen, 1958, Frederiksberg C, Denmark.
Benedikte GrenovDepartment of Nutrition, Exercise and Sports, University of Copenhagen, 1958, Frederiksberg C, Denmark.
University of Copenhagen · DKMakerere University · UGJinja Hospital · UGMulago Hospital · UGTampere University of Applied Sciences · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWeight gain is routinely monitored to assess hydration and growth during treatment of children with complicated severe acute malnutrition (SAM). However, changes in weight and mid-upper arm circumference (MUAC) gain velocities over time are scarcely described. We assessed weight and MUAC gain velocities in 6-59 mo-old children with complicated SAM by treatment phase and edema status.

methodsThis was a prospective study, nested in a randomized/probiotic trial ( ISRCTN16454889 ). Weight and MUAC gain velocities were assessed by treatment phase and edema at admission using linear mixed-effects models.

resultsAmong 400 children enrolled, the median (IQR) age was 15.0 (11.2;19.2) months, 58% were males, and 65% presented with edema. During inpatient therapeutic care (ITC), children with edema vs no edema at admission had negative weight gain velocity in the stabilization phase [differences at day 3 and 4 were - 11.26 (95% CI: - 20.73; - 1.79) g/kg/d and - 13.09 (95% CI: - 23.15; - 3.02) g/kg/d, respectively]. This gradually changed into positive weight gain velocity in transition and eventually peaked at 12 g/kg/d early in the rehabilitation phase, with no difference by edema status (P > 0.9). During outpatient therapeutic care (OTC), overall, weight gain velocity showed a decreasing trend over time (from 5 to 2 g/kg/d), [difference between edema and non-edema groups at week 2 was 2.1 (95% CI: 1.0;3.2) g/kg/d]. MUAC gain velocity results mirrored those of weight gain velocity [differences were - 2.30 (95% CI: - 3.6; - 0.97) mm/week at week 1 in ITC and 0.65 (95% CI: - 0.07;1.37) mm/week at week 2 in OTC].

conclusionsWeight and MUAC gain velocities among Ugandan children with complicated SAM showed an increasing trend during transition and early in the rehabilitation phase, and a decreasing trend thereafter, but, overall, catch-up growth was prolonged. Further research to establish specific cut-offs to assess weight and MUAC gain velocities during different periods of rehabilitation is needed.

Indexed as

ChildrenEdemaMUAC gain velocitySevere acute malnutritionUgandaWeight gain velocity

Identifiers

PMID34140028
PMCPMC8212498
OpenAlexW3171235940

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.