Evidence map›Paper›PMID 32664156›Full record

ArticleMedicine2020

Analysis of factors related to preterm birth: a retrospective study at Nanjing Maternity and Child Health Care Hospital in China.

Jin Huang, Yating Qian, Mingming Gao, Hongjuan Ding, Lei Zhang, Ruizhe Jia

Open access · goldAbstract read
In one paragraph

Article in Medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
2.5field-weighted citation impact, top 10% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Eclampsia,Translational pediatrics · 2023
    Article
  4. Article
  5. Article
  6. Unsupervised Learning Applied to the Stratification of Preterm Birth Risk in Brazil with Socioeconomic Data.International journal of environmental research and public health · 2022
    Article
  7. Article
  8. 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

6 authors at 2 institutions in 1 country.

Jin HuangDepartment of Obstetrics and Gynecology, Obstetrics and Gynecology Hospital Affiliated to Nanjing Medical University, Nanjing, Jiangsu 210004.
Yating QianNanjing Maternity and Child Health Care Hospital, Women's Hospital of Nanjing Medical University, Nanjing, Jiangsu 210004.
Mingming GaoDepartment of Obstetrics and Gynecology, Obstetrics and Gynecology Hospital Affiliated to Nanjing Medical University, Nanjing, Jiangsu 210004.
Hongjuan DingNanjing Maternity and Child Health Care Hospital, Women's Hospital of Nanjing Medical University, Nanjing, Jiangsu 210004.
Lei ZhangNanjing Maternity and Child Health Care Hospital, Women's Hospital of Nanjing Medical University, Nanjing, Jiangsu 210004.
Ruizhe JiaNanjing Maternity and Child Health Care Hospital, Women's Hospital of Nanjing Medical University, Nanjing, Jiangsu 210004.
Nanjing Maternity and Child Health Care Hospital · CNNanjing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Preterm birth is the most important cause of neonatal mortality and morbidity worldwide. The aim of this study was to identify factors associated with preterm birth and examine the heterogeneity and interactions between these factors.We collected data from 1607 pregnant women treated at Nanjing Maternity and Child Health Care Hospital in China. The women included in the study were divided into the full-term group and the preterm-birth group. We used t-tests to compare the characteristics of age and body mass index, Chi-square tests for the other variables, and we used the Wald test to calculate the interaction between factors that may affect preterm birth. The heterogeneity test was used to study the relationship between subgroups. Multivariable logistic regression analysis was used to explore the associations between risk factors and preterm birth, which included all risk factors. All tests were 2-tailed, P < 0.05 was considered significant, and 95% confidence intervals were estimated for percentages.There was no statistical difference in basic characteristics such as age between the full-term and preterm groups. We found 6 independent risk factors that were associated with preterm birth (P < .05): preeclampsia (PE), intrahepatic cholestasis, premature rupture of the membranes (PROM), placenta previa, chorioamnionitis, and scarred uterus. Five combinations of these factors were statistically significant (P < .05) in terms of heterogeneity: PE and PROM; placenta previa and polyhydramnios; chorioamnionitis and PE; PROM and maternal body mass index; and PROM and gestational diabetes mellitus. Ultimately, the 2 subgroups that showed interactions were PE and PROM and chorioamnionitis and PE.The interaction between different factors over the course of preterm birth cannot be ignored. When independent risk factors are combined with other diseases, such as PE combined with PROM or chorioamnionitis in this study, it may more likely result in preterm birth. Thus, this situation deserves particular clinical attention.

Indexed as

AdultChinaChorioamnionitisDiabetes, GestationalFemaleHumansInfantInfant MortalityInfant, NewbornLogistic ModelsPlacenta PreviaPregnancyPremature BirthPremature Rupture of Fetal MembranesRetrospective StudiesRisk Factors

Identifiers

PMID32664156
PMCPMC7360194
OpenAlexW3040942559

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.