Evidence map›Paper›PMID 27824061›Full record

ArticleScientific reports2016

Length-free near infrared measurement of newborn malnutrition.

Fatin Hamimi Mustafa, Emily J Bek, Jacqueline Huvanandana, Peter W Jones, Angela E Carberry, Heather E Jeffery, Craig T Jin, Alistair L McEwan

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Article
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

8 authors.

Fatin Hamimi MustafaSchool of Electrical and Information Engineering, Faculty of Engineering and Information Technologies, University of Sydney, New South Wales, Australia.
Emily J BekSchool of Electrical and Information Engineering, Faculty of Engineering and Information Technologies, University of Sydney, New South Wales, Australia.
Jacqueline HuvanandanaSchool of Electrical and Information Engineering, Faculty of Engineering and Information Technologies, University of Sydney, New South Wales, Australia.
Peter W JonesSchool of Electrical and Information Engineering, Faculty of Engineering and Information Technologies, University of Sydney, New South Wales, Australia.
Angela E CarberrySchool of Electrical and Information Engineering, Faculty of Engineering and Information Technologies, University of Sydney, New South Wales, Australia.
Heather E JefferySchool of Electrical and Information Engineering, Faculty of Engineering and Information Technologies, University of Sydney, New South Wales, Australia.
Craig T JinSchool of Electrical and Information Engineering, Faculty of Engineering and Information Technologies, University of Sydney, New South Wales, Australia.
Alistair L McEwanSchool of Electrical and Information Engineering, Faculty of Engineering and Information Technologies, University of Sydney, New South Wales, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Under-nutrition in neonates can cause immediate mortality, impaired cognitive development and early onset adult disease. Body fat percentage measured using air-displacement-plethysmography has been found to better indicate under-nutrition than conventional birth weight percentiles. However, air-displacement-plethysmography equipment is expensive and non-portable, so is not suited for use in developing communities where the burden is often the greatest. We proposed a new body fat measurement technique using a length-free model with near-infrared spectroscopy measurements on a single site of the body - the thigh. To remove the need for length measurement, we developed a model with five discrete wavelengths and a sex parameter. The model was developed using air-displacement-plethysmography measurements in 52 neonates within 48 hours of birth. We identified instrumentation required in a low-cost LED-based screening device and incorporated a receptor device that can increase the amount of light collected. This near-infrared method may be suitable as a low cost screening tool for detecting body fat levels and monitoring nutritional interventions for malnutrition in neonates and young children in resource-constrained communities.

Indexed as

Adipose TissueHumansInfant, NewbornMalnutritionMass ScreeningSpectroscopy, Near-InfraredThigh

Identifiers

PMID27824061
PMCPMC5099907

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.