Evidence map›Paper›PMID 34348690›Full record

ArticleBMC pregnancy and childbirth2021

Analysis of the causes and influencing factors of fetal loss in advanced maternal age: a nested case-control study.

Xiaomei Wang, Yuan Lin, Zhaozhen Liu, Xinxin Huang, Rongxin Chen, Huihui Huang

Open access · goldAbstract read
In one paragraph

Article in BMC pregnancy and childbirth, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-weighted citation impact, top 26% 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, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Initial Impact of Perinatal Loss on Mothers and Their Partners.International journal of environmental research and public health · 2023
    Article
  4. 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

6 authors at 1 institution in 1 country.

Xiaomei WangDepartment of Obstetrics, Fujian Maternity and Child Health Hospital, Affiliated Hospital of Fujian Medical University, No. 18 Daoshan Road, Gulou District, Fuzhou, Fujian, 350001, People's Republic of China.
Yuan LinDepartment of Gynecology, Fujian Maternity and Child Health Hospital, Affiliated Hospital of Fujian Medical University, No. 18 Daoshan Road, Gulou District, Fuzhou, Fujian, 350001, People's Republic of China. alice120202@126.com.
Zhaozhen LiuDepartment of Obstetrics, Fujian Maternity and Child Health Hospital, Affiliated Hospital of Fujian Medical University, No. 18 Daoshan Road, Gulou District, Fuzhou, Fujian, 350001, People's Republic of China. zzliu626@163.com.
Xinxin HuangHealthcare Department, Fujian Maternity and Child Health Hospital, Affiliated Hospital of Fujian Medical University, No. 18 Daoshan Road, Gulou District, Fuzhou, Fujian, 350001, People's Republic of China.
Rongxin ChenDepartment of Obstetrics, Fujian Maternity and Child Health Hospital, Affiliated Hospital of Fujian Medical University, No. 18 Daoshan Road, Gulou District, Fuzhou, Fujian, 350001, People's Republic of China.
Huihui HuangDepartment of Obstetrics, Fujian Maternity and Child Health Hospital, Affiliated Hospital of Fujian Medical University, No. 18 Daoshan Road, Gulou District, Fuzhou, Fujian, 350001, People's Republic of China.
Fujian Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe risk of fetal loss is higher among ≥35-year-olds than younger women. The present study aimed to explore the causes and factors influencing fetal loss in advanced maternal age (AMA).

methodsAMA women with singleton fetuses (< 14 gestational weeks) who underwent their first prenatal examination in the Obstetrics Department of Fujian Maternity and Child Health Hospital from December 2018 to June 2020 were included in this cohort study. Those who terminated the pregnancy before 14 gestational weeks were excluded. A baseline survey was conducted, and follow-up was carried out until the termination of the pregnancy. Clinical data were extracted to analyse the causes of fetal loss among them. In the nested case-control study, the AMA women with fetal loss were enrolled as the case group, and women without fetal loss in the same period were enrolled as the control group, in a 1:2 ratio matched by age and gestational weeks. Logistic regression models were used to analyse the factors influencing fetal loss.

resultsA total of 239 women with fetal loss and 478 controls were enrolled. The causes of fetal loss were most often fetal factors, followed by maternal factors, umbilical cord factors, and placental factors. Multivariate logistic regression analysis indicated that junior high school education and below (adjusted odds ratio (aOR) = 5.13, 95% confidence interval (CI): 2.19-12.02), senior high school education (aOR = 4.91, 95% CI: 2.09-11.54), residence in a rural area (aOR = 2.85, 95% CI: 1.92-4.25), unemployment (aOR = 1.81, 95% CI: 1.20-2.71), spontaneous abortion history (aOR = 1.88, 95% CI: 1.26-2.80), preterm birth history (aOR = 11.08, 95% CI: 2.90-42.26), hypertensive disorders of pregnancy (aOR = 7.20, 95% CI: 2.24-23.12), and preterm premature rupture of membranes (aOR = 4.12, 95% CI: 1.53-11.11) were risk factors for fetal loss.

conclusionsLow educational level, unemployment, abnormal pregnancy/labor history, and pregnancy complications were correlated with the incidence of fetal loss in AMA. Thus, early identification as well as a targeted intervention, should be conducted.

Indexed as

Fetal DeathMaternal AgeAbortion, SpontaneousAdultCase-Control StudiesChinaCohort StudiesFemaleHumansLogistic ModelsMultivariate AnalysisPregnancyPregnancy Trimester, SecondPregnancy Trimester, ThirdRisk FactorsStillbirthCongenital abnormalityMaternal ageNested case-control studySpontaneous abortionStillbirth

Identifiers

PMID34348690
PMCPMC8340511
OpenAlexW3189738365

What OpenQuestion holds

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LicenceCC BY
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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.