Evidence map›Paper›PMID 36285385›Full record

ArticleThe Australian & New Zealand journal of obstetrics & gynaecology2023

Grouping women of South Asian ethnicity for pregnancy research in New Zealand.

Esti De Graaff, Lynn Sadler, Heena Lakhdhir, Rachel Simon-Kumar, Roshini Peiris-John, Wendy Burgess, Karaponi Okesene-Gafa, Robin Cronin, Lesley Mccowan, Ngaire Anderson

Open access · hybridAbstract read
In one paragraph

Article in The Australian & New Zealand journal of obstetrics & gynaecology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
4.4field-weighted citation impact, top 5% 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

3 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

10 authors at 3 institutions in 1 country.

Esti De GraaffThe University of Auckland Faculty of Medical and Health Sciences, Obstetrics & Gynaecology, Auckland, New Zealand.ORCID 0000-0003-0656-7123
Lynn SadlerThe University of Auckland Faculty of Medical and Health Sciences, Obstetrics & Gynaecology, Auckland, New Zealand.ORCID 0000-0003-0681-6652
Heena LakhdhirCounties Manukau District, Division of Women's Health, Te Whatu Ora - Health, Auckland, New Zealand.
Rachel Simon-KumarThe University of Auckland School of Population Health, Auckland, New Zealand.ORCID 0000-0002-4866-5226
Roshini Peiris-JohnThe University of Auckland Section of Epidemiology and Biostatistics, Auckland, New Zealand.ORCID 0000-0001-7812-2268
Wendy BurgessThe University of Auckland Faculty of Medical and Health Sciences, Obstetrics & Gynaecology, Auckland, New Zealand.
Karaponi Okesene-GafaThe University of Auckland Faculty of Medical and Health Sciences, Obstetrics & Gynaecology, Auckland, New Zealand.ORCID 0000-0002-9275-7566
Robin CroninThe University of Auckland Faculty of Medical and Health Sciences, Obstetrics & Gynaecology, Auckland, New Zealand.ORCID 0000-0002-8304-8004
Lesley MccowanThe University of Auckland Faculty of Medical and Health Sciences, Obstetrics & Gynaecology, Auckland, New Zealand.ORCID 0000-0001-9915-7873
Ngaire AndersonThe University of Auckland Faculty of Medical and Health Sciences, Obstetrics & Gynaecology, Auckland, New Zealand.ORCID 0000-0002-9303-2524
University of Auckland · NZAuckland Institute of Studies · NZCounties Manukau District Health Board · NZ

Funding

the NHMRC Centre of Research Excellence in Stillbirththe University of Auckland, Faculty of Medical and Health Sciences
6 · The paper itself

Abstract

backgroundThe New Zealand (NZ) Ministry of Health ethnicity data protocols recommend that people of South Asian (SAsian) ethnicity, other than Indian, are combined with people of Japanese and Korean ethnicity at the most commonly used level of aggregation in health research (level two). This may not work well for perinatal studies, as it has long been observed that women of Indian ethnicity have higher rates of adverse pregnancy outcomes, such as perinatal death. It is possible that women of other SAsian ethnicities share this risk.

aimsThis study was performed to identify appropriate groupings of women of SAsian ethnicity for perinatal research. MATERIALS AND

methodsNational maternity and neonatal data, and singleton birth records between 2008 and 2017 were linked using the Statistics NZ Integrated Data Infrastructure. Socio-demographic risk profiles and pregnancy outcomes were compared between 15 ethnic groups. Recommendations were made based on statistical analyses and cultural evaluation with members of the SAsian research community.

resultsSimilarities were observed between women of Indian, Fijian Indian, South African Indian, Sri Lankan, Bangladeshi and Pakistani ethnicities. A lower-risk profile was seen among Japanese and Korean mothers. Risk profiles of women of combined Indian-Māori, Indian-Pacific and Indian-New Zealand European ethnicity more closely represented their corresponding non-Indian ethnicities.

conclusionsBased on these findings, we suggest a review of current NZ Ministry of Health ethnicity data protocols. We recommend that researchers understand the risk profiles of participants prior to aggregation of groups in research, to mitigate risks associated with masking differences.

Indexed as

EthnicityMaori PeoplePregnancySouth Asian PeopleFemaleHumansInfant, NewbornNew ZealandPregnancy OutcomeAsiaethnicityNew Zealandpregnancy complicationsrisk factorsWestern

Identifiers

PMID36285385
PMCPMC10952764
OpenAlexW4307341502

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.