Evidence map›Paper›PMID 34103654›Full record

ArticleScientific reports2021

Risk score to stratify miscarriage risk levels in preconception women.

Xin Hui Choo, Chee Wai Ku, Yin Bun Cheung, Keith M Godfrey, Yap-Seng Chong, Lynette Pei-Chi Shek, Kok Hian Tan, Thiam Chye Tan, Sadhana Nadarajah, Fabian Kok Peng Yap and 5 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Observational
  2. Article
  3. Article
  4. Article
  5. 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

15 authors at 8 institutions in 3 countries.

Xin Hui Choo *Yong Loo Lin School of Medicine, National University of Singapore, National University Health System, Singapore, 119228, Singapore.
Chee Wai Ku *Duke-NUS Medical School, Singapore, 169857, Singapore.
Yin Bun CheungProgram in Health Services & Systems Research and Center for Quantitative Medicine, Duke-NUS Medical School, Singapore, 169857, Singapore.
Keith M GodfreyMedical Research Council Lifecourse Epidemiology Unit, University of Southampton, Southampton, SO16 6YD, UK.
Yap-Seng ChongYong Loo Lin School of Medicine, National University of Singapore, National University Health System, Singapore, 119228, Singapore.
Lynette Pei-Chi ShekDepartment of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, National University Health System, Singapore, 119228, Singapore.
Kok Hian TanDuke-NUS Medical School, Singapore, 169857, Singapore.
Thiam Chye TanDepartment of Obstetrics and Gynaecology, KK Women's and Children's Hospital, Singapore, 229899, Singapore.
Sadhana NadarajahDepartment of Reproductive Medicine, KK Women's and Children's Hospital, 100, Bukit Timah, Singapore, 229899, Singapore.
Fabian Kok Peng YapDuke-NUS Medical School, Singapore, 169857, Singapore.
Marjorelee T ColegaSingapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore, 117609, Singapore.
Mary Foong-Fong ChongSingapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore, 117609, Singapore.
Shiao-Yng ChanSingapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore, 117609, Singapore.
See Ling Loy *Duke-NUS Medical School, Singapore, 169857, Singapore. loy.see.ling@kkh.com.sg.
Jerry Kok Yen Chan *Duke-NUS Medical School, Singapore, 169857, Singapore. jerrychan@duke-nus.edu.sg.
KK Women's and Children's Hospital · SGNational University of Singapore · SGSingapore Institute for Clinical Sciences · SGAgency for Science, Technology and Research · SGDuke-NUS Medical School · SGMedical Research Council · GBNational University Health System · SGTampere University · FI

Funding

Interdisciplinary Research Network on Early Adversity & Later Life ReversibilityU24AG047867 · NIA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI GODFREY, KEITH, MCEWEN, BRUCE S. · 2014 to 2018
$954k
British Heart Foundation RG/15/17/3174Department of Health IS-BRC-1215-20004Department of Health NF-SI-0515-10042Medical Research Council MC_PC_21000Medical Research Council MC_PC_21001Medical Research Council MC_PC_21003Medical Research Council MC_UU_12011/4NIA NIH HHS U24 AG047867
6 · The paper itself

Abstract

Spontaneous miscarriage is one of the most common complications of pregnancy. Even though some risk factors are well documented, there is a paucity of risk scoring tools during preconception. In the S-PRESTO cohort study, Asian women attempting to conceive, aged 18-45 years, were recruited. Multivariable logistic regression model coefficients were used to determine risk estimates for age, ethnicity, history of pregnancy loss, body mass index, smoking status, alcohol intake and dietary supplement intake; from these we derived a risk score ranging from 0 to 17. Miscarriage before 16 weeks of gestation, determined clinically or via ultrasound. Among 465 included women, 59 had miscarriages and 406 had pregnancy ≥ 16 weeks of gestation. Higher rates of miscarriage were observed at higher risk scores (5.3% at score ≤ 3, 17.0% at score 4-6, 40.0% at score 7-8 and 46.2% at score ≥ 9). Women with scores ≤ 3 were defined as low-risk level (< 10% miscarriage); scores 4-6 as intermediate-risk level (10% to < 40% miscarriage); scores ≥ 7 as high-risk level (≥ 40% miscarriage). The risk score yielded an area under the receiver-operating-characteristic curve of 0.74 (95% confidence interval 0.67, 0.81; p < 0.001). This novel scoring tool allows women to self-evaluate their miscarriage risk level, which facilitates lifestyle changes to optimize modifiable risk factors in the preconception period and reduces risk of spontaneous miscarriage.

Indexed as

RiskAbortion, SpontaneousAdolescentAdultAsian PeopleBehaviorFemaleHumansLife StyleLogistic ModelsMiddle AgedMultivariate AnalysisPregnancyRisk AssessmentRisk FactorsSmoking

Identifiers

PMID34103654
PMCPMC8187346
OpenAlexW3166725375

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.