Evidence map›Paper›PMID 29063007›Full record

ArticleChronic diseases and translational medicine2015

Maternal and neonatal outcomes in multiple pregnancy: A multicentre study in the Beijing population.

Ri-Na Su, Wei-Wei Zhu, Yu-Mei Wei, Chen Wang, Hui Feng, Li Lin, Hui-Xia Yang

Open access · goldAbstract read
In one paragraph

Article in Chronic diseases and translational medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

17 citing papers in PubMed, 37 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

7 authors at 3 institutions in 1 country.

Ri-Na SuDepartment of Obstetrics and Gynecology, Peking University First Hospital, Beijing 100034, China.
Wei-Wei ZhuNational Institute of Hospital Administration, Beijing 100191, China.
Yu-Mei WeiDepartment of Obstetrics and Gynecology, Peking University First Hospital, Beijing 100034, China.
Chen WangDepartment of Obstetrics and Gynecology, Peking University First Hospital, Beijing 100034, China.
Hui FengDepartment of Obstetrics and Gynecology, Peking University First Hospital, Beijing 100034, China.
Li LinDepartment of Obstetrics and Gynecology, Peking University First Hospital, Beijing 100034, China.
Hui-Xia YangDepartment of Obstetrics and Gynecology, Peking University First Hospital, Beijing 100034, China.
Peking University · CNPeking University First Hospital · CNNational Institute of Hospital Administration · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo compare the adverse maternal and neonatal outcomes of multiple pregnancy and singleton pregnancy from multiple medical centers in Beijing.

methodsData concerning maternal and neonatal adverse outcomes in multiple and singleton pregnancies were collected from 15 hospitals in Beijing by a systemic cluster sampling survey conducted from 20 June to 30 November 2013. The SPSS software (version 20.0) was used for data analysis. The χ

resultsThe rate of caesarean deliveries was much higher in women with multiple pregnancies (85.8%) than that in women with singleton pregnancies (42.6%, χ

conclusionsMultiple pregnancy is a significant risk factor for adverse maternal and neonatal outcomes in Beijing. Improving obstetric care for multiple pregnancy, particularly in reducing preterm labor, is required to reduce the risk to mothers and infants.

Indexed as

BeijingMulticenterMultiple pregnancyPerinatal outcomesSystemic cluster sampling survey

Identifiers

PMID29063007
PMCPMC5643594
OpenAlexW1891040072

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.