Evidence map›Paper›PMID 30367114›Full record

ArticleScientific reports2018

The pattern of gestational weight gains among Chinese women: a repeated measure analysis.

Jing Tan, Yan Ren, Yana Qi, Peng Chen, Li Tang, Guolin He, Sheyu Li, Xin Sun, Xinghui Liu

Abstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

6 citing papers in PubMed.

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

9 authors.

Jing TanChinese Evidence-based Medicine Center and CREAT Group, West China Hospital, Sichuan University, Chengdu, China.ORCID http://orcid.org/0000-0001-8839-6705
Yan RenChinese Evidence-based Medicine Center and CREAT Group, West China Hospital, Sichuan University, Chengdu, China.
Yana QiChinese Evidence-based Medicine Center and CREAT Group, West China Hospital, Sichuan University, Chengdu, China.
Peng ChenWest China Women and Children's Hospital, Sichuan University, Chengdu, China.
Li TangChinese Evidence-based Medicine Center and CREAT Group, West China Hospital, Sichuan University, Chengdu, China.
Guolin HeWest China Women and Children's Hospital, Sichuan University, Chengdu, China.
Sheyu LiDepartment of Endocrinology and Metabolism, West China Hospital, Sichuan University, Chengdu, China.ORCID http://orcid.org/0000-0003-0060-0287
Xin SunChinese Evidence-based Medicine Center and CREAT Group, West China Hospital, Sichuan University, Chengdu, China. xinghuiliu@163.com.
Xinghui LiuWest China Women and Children's Hospital, Sichuan University, Chengdu, China. sunx79@hotmail.com.

Funding

National Natural Science Foundation of China (National Science Foundation of China) 71704122
6 · The paper itself

Abstract

This study aimed to investigate the pattern of gestational weight gain (GWG) among Chinese women. We included pregnant women, who delivered at a referral medical center in China and had no pre-specified adverse pregnancy outcomes. We collected weight data across all pregnancy visits, and used the two-level spline linear model to fit for the pattern of GWG according to pre-pregnancy BMI categories. In total, 4,567 pregnant women with 47,699 repeated measures were eligible. For those who were underweight, normal and overweight before pregnancy, the interquartile ranges (25

Indexed as

Gestational Weight GainAdultBody Mass IndexChinaFemaleGestational AgeHumansLinear ModelsPregnancy

Identifiers

PMID30367114
PMCPMC6203785

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.