Methodological Quality of Studies Designed to Create Twin-Specific Neonatal Anthropometric Charts: A Systematic Review

Abstract Twin fetuses show a physiologically slower growth rate in the third trimester compared to singletons. Therefore, it has been suggested that the anthropometric evaluation of twins at birth should be performed using twin-specific charts. To be reliable, anthropometric charts need to fulfil certain methodological criteria to systematically review studies that have developed neonatal twin-specific anthropometric charts and assess their methodological quality. A comprehensive search was conducted across Cinahl, Embase, Global Index Medicus, PubMed, Scopus, Web of Science, Google Scholar, and relevant preprint repositories, followed by a predefined snowballing search. Two reviewers independently screened studies for eligibility, selecting those that have developed cross-sectional anthropometric charts for twins at birth, published since January 1990. Articles were excluded if they did not use anthropometric measurements at birth to construct charts. Two reviewers independently extracted data and performed quality assessment with a 16-item grading system. Sixty-eight studies were included, with all but one constructed reference, not standard, charts. Most studies did not meet the quality criteria: only 9% were prospectively designed, 34% reliably estimated gestational age, 19% reported standardized instruments, 28% described measurement techniques, and 26% did not stratify centiles by sex. This review reveals considerable methodological limitations in existing twin-specific neonatal anthropometric charts.

Authors

Institutions

Publication Details

Journal
Twin Research and Human Genetics
Published
2025-10-01
DOI
https://doi.org/10.1017/thg.2025.10027
Primary Topic
Infant Development and Preterm Care
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Methodological Quality of Studies Designed to Create Twin-Specific Neonatal Anthropometric Charts: A Systematic Review

Ilaria Stura, Francesca Giuliani, Sonia Deantoni, Giuseppe Migliaretti et al.
Twin Research and Human Genetics
Infant Development and Preterm Care
article

Methodological Quality of Studies Designed to Create Twin-Specific Neonatal Anthropometric Charts: A Systematic Review

Ilaria Stura, Francesca Giuliani, Sonia Deantoni, Giuseppe Migliaretti, Alessandra Coscia, Enrico Bertino, Serena Gandino, Agustín Conde-Agudelo, Leila Cheikh Ismail, Josè Villar
article en

Abstract

Abstract Twin fetuses show a physiologically slower growth rate in the third trimester compared to singletons. Therefore, it has been suggested that the anthropometric evaluation of twins at birth should be performed using twin-specific charts. To be reliable, anthropometric charts need to fulfil certain methodological criteria to systematically review studies that have developed neonatal twin-specific anthropometric charts and assess their methodological quality. A comprehensive search was conducted across Cinahl, Embase, Global Index Medicus, PubMed, Scopus, Web of Science, Google Scholar, and relevant preprint repositories, followed by a predefined snowballing search. Two reviewers independently screened studies for eligibility, selecting those that have developed cross-sectional anthropometric charts for twins at birth, published since January 1990. Articles were excluded if they did not use anthropometric measurements at birth to construct charts. Two reviewers independently extracted data and performed quality assessment with a 16-item grading system. Sixty-eight studies were included, with all but one constructed reference, not standard, charts. Most studies did not meet the quality criteria: only 9% were prospectively designed, 34% reliably estimated gestational age, 19% reported standardized instruments, 28% described measurement techniques, and 26% did not stratify centiles by sex. This review reveals considerable methodological limitations in existing twin-specific neonatal anthropometric charts.

Twin Research and Human GeneticsVol. 28(5)
University of Sharjah (AE), University of Oxford (GB), Ospedale Regina Margherita (IT), University of Turin (IT)
University of Oxford, Università degli Studi di Torino
Openalex Percentile: Top 15%
Infant Development and Preterm Care
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.