Evidence map›Paper›PMID 36766906›Full record

ArticleHealthcare (Basel, Switzerland)2023

Burden and Trend of Macrosomia and Large-for-Gestational-Age Neonates Attributable to High Pre-Pregnancy Body Mass Index in China, 2013-2017: A Population-Based Retrospective Cohort Study.

Shuai Zeng, Ying Yang, Chunying Han, Rongwei Mu, Yuzhi Deng, Xinyi Lv, Wenlu Xie, Jiaxin Huang, Siyu Wu, Ya Zhang and 10 more

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2023. 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
–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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

20 authors.

Shuai ZengInstitute of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China.
Ying YangNational Research Institute for Family Planning, Beijing 100081, China.
Chunying HanInstitute of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China.
Rongwei MuInstitute of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China.
Yuzhi DengNational Research Institute for Family Planning, Beijing 100081, China.
Xinyi LvNational Research Institute for Family Planning, Beijing 100081, China.
Wenlu XieInstitute of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China.
Jiaxin HuangInstitute of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China.
Siyu WuInstitute of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China.
Ya ZhangNational Research Institute for Family Planning, Beijing 100081, China.
Hongguang ZhangNational Research Institute for Family Planning, Beijing 100081, China.
Yuan HeNational Research Institute for Family Planning, Beijing 100081, China.
Zuoqi PengNational Research Institute for Family Planning, Beijing 100081, China.
Yuanyuan WangNational Research Institute for Family Planning, Beijing 100081, China.
Haiping ShenDepartment of Maternal and Child Health, National Health Commission of the PRC, Beijing 100044, China.
Qiaomei WangDepartment of Maternal and Child Health, National Health Commission of the PRC, Beijing 100044, China.
Yiping ZhangDepartment of Maternal and Child Health, National Health Commission of the PRC, Beijing 100044, China.
Donghai YanDepartment of Maternal and Child Health, National Health Commission of the PRC, Beijing 100044, China.
Long WangInstitute of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China.
Xu MaNational Research Institute for Family Planning, Beijing 100081, China.

Funding

the Excellent Graduate student "Innovation Star" project of education department of Gansu province grant number 2021CXZX-158the National Key Research and Development Program of China grant number 2021YFC2700705the National Natural Science Foundation of China grant number 82003472
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

body mass indexcohort studiesfetal macrosomialarge-for-gestational-agepopulation attributable fraction

Identifiers

PMID36766906
PMCPMC9914660

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.