Evidence map›Paper›PMID 36452898›Full record

ArticleFrontiers in medicine2022

The effect of body mass index on neonatal outcomes in Chinese women with polycystic ovary syndrome.

Haiyan Guo, Bian Wang, Hongyuan Gao, Qianqian Zhu

Open access · goldAbstract read
In one paragraph

Article in Frontiers in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. 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

4 authors at 1 institution in 1 country.

Haiyan GuoDepartment of Assisted Reproduction, Shanghai Ninth People's Hospital Affiliated to Jiao Tong University School of Medicine, Shanghai, China.
Bian WangDepartment of Assisted Reproduction, Shanghai Ninth People's Hospital Affiliated to Jiao Tong University School of Medicine, Shanghai, China.
Hongyuan GaoDepartment of Assisted Reproduction, Shanghai Ninth People's Hospital Affiliated to Jiao Tong University School of Medicine, Shanghai, China.
Qianqian ZhuDepartment of Assisted Reproduction, Shanghai Ninth People's Hospital Affiliated to Jiao Tong University School of Medicine, Shanghai, China.
Shanghai Ninth People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim: This study aimed to explore the effect of body mass index (BMI) on neonatal outcomes in patients with polycystic ovary syndrome following the frozen embryo transfer (FET). Methods: This study included 1,676 singletons born from mothers with polycystic ovary syndrome (PCOS) after FET between 1 Jan 2007 and 31 Dec 2019. BMI was categorized into three groups: underweight (BMI less than 18.5 kg/m Results: When compared to normal-weight mothers, the rate of large for gestational age (LGA) babies (adjusted odds ratio [aOR] 0.45, 95% confidence interval [95%CI] 0.22-0.93) significantly decreased for underweight mothers and significantly increased (aOR 1.82, 95%CI 1.38-2.41) for overweight mothers. The rate of high birth weight among infants from overweight mothers (aOR 1.75, 95%CI 1.15-2.65) was significantly higher than those from normal-weight mothers after adjusting for known confounding factors. The rate of small for gestational age (SGA) singleton (aOR 2.37, 95%CI 1.14-4.93) was lower among underweight mothers than normal-weight mothers. Conclusion: Maternal underweight was a significant protective factor against LGA infants for singletons born from patients with PCOS after FET, whereas maternal overweight was an adverse factor for LGA infants.

Indexed as

assisted reproductive technologybody mass indexfrozen embryo transferneonatal outcomepolycystic ovary syndrome

Identifiers

PMID36452898
PMCPMC9704359
OpenAlexW4309043390

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.