Evidence map›Paper›PMID 25954731›Full record

ArticleClinical nutrition research2015

Weight gain in pregnancy, maternal age and gestational age in relation to fetal macrosomia.

Yi Li, Qi-Fei Liu, Dan Zhang, Ying Shen, Kui Ye, Han-Lin Lai, Hai-Qing Wang, Chuan-Lai Hu, Qi-Hong Zhao, Li Li

Open access · hybridAbstract read
In one paragraph

Article in Clinical nutrition research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
3.1field-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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Effective Macrosomia Prediction Using Random Forest Algorithm.International journal of environmental research and public health · 2022
    Article
  6. Observational
  7. Article
  8. Article
  9. Metabolic profiling of umbilical cord blood in macrosomia.International journal of obesity (2005) · 2018
    Article
  10. Observational
  11. 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

10 authors at 1 institution in 1 country.

Yi LiDepartment of Nutrition and Food Hygiene, School of Public Health, Anhui Medical University, Anhui 230032, PR China.
Qi-Fei LiuDepartment of Nutrition and Food Hygiene, School of Public Health, Anhui Medical University, Anhui 230032, PR China.
Dan ZhangDepartment of Nutrition and Food Hygiene, School of Public Health, Anhui Medical University, Anhui 230032, PR China.
Ying ShenDepartment of Nutrition and Food Hygiene, School of Public Health, Anhui Medical University, Anhui 230032, PR China.
Kui YeDepartment of Nutrition and Food Hygiene, School of Public Health, Anhui Medical University, Anhui 230032, PR China.
Han-Lin LaiDepartment of Nutrition and Food Hygiene, School of Public Health, Anhui Medical University, Anhui 230032, PR China.
Hai-Qing WangDepartment of Nutrition and Food Hygiene, School of Public Health, Anhui Medical University, Anhui 230032, PR China.
Chuan-Lai HuDepartment of Nutrition and Food Hygiene, School of Public Health, Anhui Medical University, Anhui 230032, PR China.
Qi-Hong ZhaoDepartment of Nutrition and Food Hygiene, School of Public Health, Anhui Medical University, Anhui 230032, PR China.
Li LiDepartment of Nutrition and Food Hygiene, School of Public Health, Anhui Medical University, Anhui 230032, PR China.
Anhui Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To investigate the possible risk factors related to macrosomia. Pregnant women and their newborns (n = 1041) were recruited from a cohort study in Maternal and Child Care Center of Hefei from January 2011 to July 2012. Questionnaires were applied to collect the demographic data besides the medical records. Detailed health records of the entire pregnancy were obtained using retrospective study. Meanwhile the data of neonatal outcomes was prospectively tracked. Associations between exposure risk factors and macrosomia were analyzed using Pearson's chi squared test. Logistic regression models were used to assess the independent association between these potential predictors and macrosomia. The incidence of macrosomia of this cohort was 11.24% of which male: female = 2.55:1. Male incidence (8.07%) of macrosomia was higher than female (3.17%), p < 0.001. Body mass index (BMI) before pregnancy (pre-BMI), maternal height, parity were not independently associated with macrosomia; multiple logistic regression analysis indicated that macrosomia was mainly independently associated with weight gain in pregnancy (OR=1.14, 95% CI [1.10-1.19]), maternal age (OR = 1.09, 95% CI [1.03-1.15]) and gestational age (OR = 1.62, 95% CI [1.31-1.99]), respectively. Our findings indicate that weight gain in pregnancy, maternal age and gestational age should be considered as independent risk factors for macrosomia.

Indexed as

Body mass indexFetal macrosomiaPregnancyRisk factors

Identifiers

PMID25954731
PMCPMC4418414
OpenAlexW2035953676

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.