Evidence map›Paper›PMID 26108619›Full record

ArticleBMC pregnancy and childbirth2015

Unconditional and conditional standards for fetal abdominal circumference and estimated fetal weight in an ethnic Chinese population: a birth cohort study.

Ying Xu, Ngee Lek, Yin Bun Cheung, Arijit Biswas, Lin Lin Su, Kenneth Y C Kwek, George S H Yeo, Shu-E Soh, Seang-Mei Saw, Peter D Gluckman and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC pregnancy and childbirth, 2015. 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
0.6field-weighted citation impact, top 29% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Establishing Chinese Fetal Growth Standards: Why and How.Maternal-fetal medicine (Wolters Kluwer Health, Inc.) · 2022
    Review
  4. 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

11 authors at 5 institutions in 2 countries.

Ying XuDuke-NUS Graduate Medical School, National University of Singapore, Singapore, Singapore. tinayxu@gmail.com.
Ngee LekDuke-NUS Graduate Medical School, National University of Singapore, Singapore, Singapore. lek.ngee@kkh.com.sg.
Yin Bun CheungDuke-NUS Graduate Medical School, National University of Singapore, Singapore, Singapore. yinbun.cheung@duke-nus.edu.sg.
Arijit BiswasDepartment of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, National University Health System, Singapore, Singapore. obgab@nus.edu.sg.
Lin Lin SuDepartment of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, National University Health System, Singapore, Singapore. lin_lin_su@nuhs.edu.sg.
Kenneth Y C KwekDivision of Obstetrics and Gynaecology, KK Women's and Children's Hospital, Singapore, Singapore. Kenneth.Kwek.YC@kkh.com.sg.
George S H YeoDivision of Obstetrics and Gynaecology, KK Women's and Children's Hospital, Singapore, Singapore. dr.george.sh.yeo@gmail.com.
Shu-E SohDepartment of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, National University Health System, Singapore, Singapore. Soh_Shu_E@sics.a-star.edu.sg.
Seang-Mei SawSaw Swee Hock School of Public Health, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore. ephssm@nus.edu.sg.
Peter D GluckmanSingapore Institute for Clinical Sciences, Agency for Science Technology and Research (A*STAR), Singapore, Singapore. pd.gluckman@auckland.ac.nz.
Yap-Seng ChongDepartment of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, National University Health System, Singapore, Singapore. yap_seng_chong@nuhs.edu.sg.
National University of Singapore · SGKK Women's and Children's Hospital · SGAgency for Science, Technology and Research · SGNational University Health System · SGUniversity of Auckland · NZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiagnosis of intrauterine fetal growth restriction and prediction of small-for-gestation age are often based on fetal abdominal circumference or estimated fetal weight (EFW). The present study aims to create unconditional (cross-sectional) and conditional (longitudinal) standards of fetal abdominal circumference and EFW for use in an ethnic Chinese population.

methodsIn the Growing Up in Singapore Towards healthy Outcome (GUSTO) birth cohort study in Singapore, fetal biometric measurements were obtained at enrolment to antenatal care (11-12 weeks) and up to three more time points during pregnancy. Singleton pregnancies with a healthy profile defined by maternal, pregnancy and fetal characteristics and birth outcomes were selected for this analysis. The Hadlock algorithm was used to calculate EFW. Mixed effects model was used to establish unconditional and conditional standards in z-scores and percentiles for both genders pooled and for each gender separately.

resultsA total of 313 women were included, of whom 294 had 3 and 19 had 2 ultrasound scans other than the gestational age dating scan. Fetal abdominal circumference showed a roughly linear trajectory from 18 to 36 weeks of gestation, while EFW showed an accelerating trajectory. Gender differences were more pronounced in the 10(th) percentile than the 50(th) or 90(th) percentiles. As compared to other published charts, this population showed growth trajectories that started low but caught up at later gestations.

conclusionsUnconditional and conditional standards for monitoring fetal size and fetal growth in terms of abdominal circumference and EFW are available for this ethnic-Chinese population. Electronic spreadsheets are provided for their implementation.

Indexed as

Fetal DevelopmentWaist CircumferenceAdultAlgorithmsAsian PeopleBiometryBirth WeightFemaleFetal Growth RetardationFetal WeightGestational AgeHumansInfant, NewbornInfant, Small for Gestational AgeMaternal AgePregnancy

Identifiers

PMID26108619
PMCPMC4480986
OpenAlexW1503599563

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.