Evidence map›Paper›PMID 23768173›Full record

ArticleBMC pediatrics2013

Changes in the body weight of term infants, born in the tropics, during the first seven days of life.

Claudia Turner, Verena Carrara, Naw Aye Mya Thien, Naw Moo Ku Paw, Marcus Rijken, Rose McGready, François Nosten

Open access · goldAbstract read
In one paragraph

Article in BMC pediatrics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 22% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

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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

7 authors at 3 institutions in 3 countries.

Claudia Turner
Verena Carrara
Naw Aye Mya Thien
Naw Moo Ku Paw
Marcus Rijken
Rose McGready
François Nosten
Shoklo Malaria Research Unit · THMahidol Oxford Tropical Medicine Research Unit · THUniversity of Oxford · GB

Funding

Wellcome Trust 077166/Z/05Wellcome Trust 089275
6 · The paper itself

Abstract

backgroundIdentifying unwell neonates, particularly in the first week of life, is often subjective. If normal values are known, calculating the weight lost or gained from birth weight can be a useful adjunct in the evaluation of the health of a neonate.

methodsSerial body weights of well, term, breast fed infants who were attending for routine follow up, were recorded at the Shoklo Malaria Research Unit clinic in Maela Camp for displaced persons on the Thailand Myanmar border. Newborn examination was routine. Weight loss, expressed as percent weight lost from birth weight, and weight gain, expressed as a velocity (g/kg/day), was calculated for the first seven days of life. The results from normal birth weight infants, low birth weight infants (<2.5 kg) and small for gestational age infants (SGA) were examined.

resultsIn the first week of life there were no significant differences in weight gained or lost across the three study groups. The maximum weight lost was 4.4% (95% CI 4.1 - 4.6%), which occurred on day three. Weight gain ranged from 13 g/kg/day [95% CI 10 - 16] on day four to 18 g/kg/day [95% CI 15 - 20] on days six and seven.

conclusionsUse of these normal values for weight gain and loss, allows infants falling outside of the expected range (95% CI) to be easily identified and subsequently highlighted as needing further medical review.

Indexed as

Body WeightClimateFemaleFollow-Up StudiesGestational AgeHumansInfant, Low Birth WeightInfant, NewbornInfant, PrematureMaleRetrospective StudiesThailandWeight Gain

Identifiers

PMID23768173
PMCPMC3686593
OpenAlexW2023418748

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.