Evidence map›Paper›PMID 37644038›Full record

ArticleScientific reports2023

Newborn weight nomograms in selected low and middle-income countries.

Amy Sarah Ginsburg, Fyezah Jehan, Shabina Ariff, Muhammad Imran Nisar, Eric Schaefer, Valerie Flaherman, Akina Shrestha, Srijana Dongol, Victoria Laleau, Augusto Braima de Sa and 2 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. Review
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

12 authors at 7 institutions in 5 countries.

Amy Sarah GinsburgUniversity of Washington, Seattle, WA, USA.
Fyezah JehanAga Khan University, Karachi, Pakistan.
Shabina AriffAga Khan University, Karachi, Pakistan.
Muhammad Imran NisarAga Khan University, Karachi, Pakistan.
Eric SchaeferPenn State College of Medicine, Hershey, PA, USA.
Valerie FlahermanUniversity of California, San Francisco, 3333 California St., Box 0503, San Francisco, CA, 94118, USA. Valerie.Flaherman@ucsf.edu.
Akina ShresthaKathmandu University School of Medical Sciences, Dhulikhel, Nepal.
Srijana DongolKathmandu University School of Medical Sciences, Dhulikhel, Nepal.
Victoria LaleauUniversity of California, San Francisco, 3333 California St., Box 0503, San Francisco, CA, 94118, USA.
Augusto Braima de SaInternational Partnership for Human Development, Bissau, Guinea-Bissau.
Raimundo CoInternational Partnership for Human Development, Bissau, Guinea-Bissau.
Victoria NankabirwaMakerere University, Kampala, Uganda.
Aga Khan University · PKInternational Partnership for Human Development · GWKathmandu University · NPUniversity of California, San Francisco · USMakerere University · UGPenn State Milton S. Hershey Medical Center · USUniversity of Washington · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Growth impairment is common in low- and middle-income countries (LMIC) and may begin during early infancy, increasing morbidity and mortality. To ensure healthy infant growth, healthcare providers in high-income countries (HIC) track newborn weight change using tools developed and validated in HIC. To understand the utility of these tools for LMIC, we conducted a secondary analysis to compare weight trajectories in the first 5 days of life among newborns born in our LMIC cohort to an existing HIC newborn weight tool designed to track early weight change. Between April 2019 and March 2020, a convenience sample of 741 singleton healthy breastfeeding newborns who weighed ≥ 2000 g at birth were enrolled at selected health facilities in Guinea-Bissau, Nepal, Pakistan, and Uganda. Using a standardized protocol, newborn weights were obtained within 6 h of birth and at 1, 2, 3, 4, and 5 days, and nomograms depicting newborn weight change were generated. The trajectories of early newborn weight change in our cohort were largely similar to published norms derived from HIC infants, with the exceptions that initial newborn weight loss in Guinea-Bissau was more pronounced than HIC norms and newborn weight gain following weight nadir was more pronounced in Guinea-Bissau, Pakistan, and Uganda than HIC norms. These data demonstrate that HIC newborn weight change tools may have utility in LMIC settings.

Indexed as

Body-Weight TrajectoryDeveloping CountriesBreast FeedingFemaleGuinea-BissauHumansInfantInfant, NewbornNomograms

Identifiers

PMID37644038
PMCPMC10465556
OpenAlexW4386251430

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.