Evidence map›Paper›PMID 36548293›Full record

ArticlePloS one2022

The single pregnancy predicting model of 1 minute Apgar score less than 7 after preterm birth: A retrospective study.

Xi-Shi Lin, Xin-Yun Peng, Meng-Meng Yang, Lin-Li Ning, Yu-Wei Shao, Ying Jiang, Su-Wen Feng, Qiong Luo

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. 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
0.5field-weighted citation impact, top 34% 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, 3 citations in OpenAlex.

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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

8 authors at 3 institutions in 1 country.

Xi-Shi LinDepartment of Obstetrics, Women's Hospital, Zhejiang University, School of Medicine, Hangzhou, China.
Xin-Yun PengDepartment of Obstetrics, Women's Hospital, Zhejiang University, School of Medicine, Hangzhou, China.
Meng-Meng YangDepartment of Obstetrics, Women's Hospital, Zhejiang University, School of Medicine, Hangzhou, China.
Lin-Li NingHangzhou Fuyang Women and Children Hospital, Hangzhou, China.
Yu-Wei ShaoChangxing Women and Children's Hospital, Huzhou, China.
Ying JiangDepartment of Obstetrics, Women's Hospital, Zhejiang University, School of Medicine, Hangzhou, China.
Su-Wen FengDepartment of Obstetrics, Women's Hospital, Zhejiang University, School of Medicine, Hangzhou, China.
Qiong LuoDepartment of Obstetrics, Women's Hospital, Zhejiang University, School of Medicine, Hangzhou, China.ORCID 0000-0002-0782-4462
Women's Hospital, School of Medicine, Zhejiang University · CNHangzhou Women’s Hospital · CNHuzhou Women and Children's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Preterm delivery is greatly associated with perinatal mortality and morbidity, while there is no objective way to identify high-risk newborns currently. This study aimed at discovering the risk factor for Apgar score less than 7 at 1 minute of preterm neonates born with vaginal delivery. A retrospective study was performed in single pregnancy women with a vaginal delivery before 37 weeks of gestation. All the preterm infants were categorized into three types: very preterm birth (28 to 32 weeks), moderate preterm birth (32 to 34 weeks) and late preterm birth (34 to 37 weeks). Risk factors were identified through logistic regression analysis in every category of newborns mentioned above. And the receiver operating characteristic analysis was used in continuous variables to determine the best threshold of the outcome. On the basis of the selected factors, the predicting models are created and its prognosticating ability is compared by the area under the curve. A nomogram was established for the proved best model. A total of 981 cases were investigated, of whom 55 were found with 1 min Apgar scores less than 7. The nomogram was set for the predicting model with larger area under the receiver operating characteristic curve, of which is 0.742(95% confidence interval = 0.670-0.805) in very preterm birth, with the variables of first and second labor stage(> = 1.6 hours), birthweight and MgSO4(magnesium sulfate), and is 0.807(95% confidence interval = 0.776-0.837) in late preterm birth, with the variables of second labor stage(> = 1.23 hours), birthweight, a history of previous cesarean delivery, fetal distress and placental abruption. The combination of first and second labor stage, newborn weight and MgSO4 use can predict 74.2% of 1 minute Apgar score < 7 in very preterm neonates. And 80.7% high-risk infants can be identified when second labor stage, newborn weight, VBAC (vaginal birth after cesarean) and the occur of placental abruption and fetal distress were combined in the predicting model for late preterm birth. These predicting models would bring out great assistance towards obstetricians and reduce unnecessary adverse fetal outcomes.

Indexed as

Abruptio PlacentaeLabor, ObstetricPremature BirthApgar ScoreBirth WeightFemaleFetal DistressHumansInfantInfant, NewbornInfant, PrematurePlacentaPregnancyRetrospective Studies

Identifiers

PMID36548293
PMCPMC9778627
OpenAlexW4312091485

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.