Evidence map›Paper›PMID 32727432›Full record

ArticleBMC pediatrics2020

Factors affecting bone maturation in Chinese girls aged 4-8 years with isolated premature thelarche.

Huiping Su, Zhe Su, Lili Pan, Li Wang, Zhongwei Xu, Gang Peng, Xianglei Li

Open access · goldAbstract read
In one paragraph

Article in BMC pediatrics, 2020. 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
1.3field-weighted citation impact, top 19% 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, 14 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Premature Thelarche: An Updated Review.Current pediatric reviews · 2024
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
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 1 institution in 1 country.

Huiping SuDepartment of Endocrinology, Shenzhen Children's Hospital, No. 7019, Yitian Road, Futian District, 518038, Shenzhen, Guangdong Province, People's Republic of China.
Zhe SuDepartment of Endocrinology, Shenzhen Children's Hospital, No. 7019, Yitian Road, Futian District, 518038, Shenzhen, Guangdong Province, People's Republic of China. Su_zhe@126.com.
Lili PanDepartment of Endocrinology, Shenzhen Children's Hospital, No. 7019, Yitian Road, Futian District, 518038, Shenzhen, Guangdong Province, People's Republic of China.
Li WangDepartment of Endocrinology, Shenzhen Children's Hospital, No. 7019, Yitian Road, Futian District, 518038, Shenzhen, Guangdong Province, People's Republic of China.
Zhongwei XuDepartment of Endocrinology, Shenzhen Children's Hospital, No. 7019, Yitian Road, Futian District, 518038, Shenzhen, Guangdong Province, People's Republic of China.
Gang PengDepartment of Adolescent Gynecology, Shenzhen Children's Hospital, Shenzhen, China.
Xianglei LiDepartment of Endocrinology, Shenzhen Children's Hospital, No. 7019, Yitian Road, Futian District, 518038, Shenzhen, Guangdong Province, People's Republic of China.
Shenzhen Children's Hospital · CN

Funding

Shenzhen Healthcare Research Project SZLY2018014
6 · The paper itself

Abstract

backgroundIn isolated premature thelarche (IPT) girls, bone age (BA) is considered consistent with chronological age. However, some IPT girls confirmed by gonadotropin-releasing hormone (GnRH) stimulation test could show another trend. We analysed BA and possible potentiating factors in a selected group of girls aged 4-8 years with IPT.

methodsIPT girls confirmed by GnRH stimulation test aged 4-8 years hospitalized from January 2015 to April 2018 at Shenzhen Children's Hospital were included in this retrospective study. They were divided into two groups with advanced BA of 2 years as the cut-off. Body mass index (BMI) and hormone levels were the main outcome measures, and regression analysis was used to identify independent risk factors. IPT girls were divided into subgroups according to the levels of BMI standard deviation score (SDS), insulin-like growth factor-1 (IGF-1) SDS and dehydroepiandrosterone sulfate (DHEAS) SDS for comparisons of advanced BA.

resultsOverall, 423 subjects were included and classified into the advanced BA group (48.7%, n = 206) and control group (51.3%, n = 217). The advanced BA group had significantly higher BMI SDS, serum DHEAS SDS, IGF-1 SDS, androstenedione and fasting insulin and significantly lower sex hormone binding globulin (all p < 0.001). Serum IGF-1 SDS (OR = 1.926, p<0.001), BMI SDS (OR = 1.427, p = 0.001) and DHEAS SDS (OR = 1.131, p = 0.005) were independent risk factors for significantly advanced BA. In the multiple linear regression model, serum IGF-1 SDS, BMI SDS and DHEAS SDS were the strongest predictors of advanced BA, accounting for 19.3% of the variance. According to BMI, 423 patients were classified into three groups: normal weight (56.03%, n = 237), overweight (19.15%, n = 81) and obesity (24.82%, n = 105). The proportion of advanced BA in obesity group was significantly higher than those of normal weight and overweight groups (χ

conclusionsGirls with IPT confirmed by GnRH stimulation test aged 4-8 years might have significantly advanced BA. Obesity was highly associated with advanced BA. Age-specific serum IGF-1 SDS and DHEAS SDS were risk factors for BA advancement independent of BMI.

Indexed as

Puberty, PrecociousBody Mass IndexChildChild, PreschoolChinaFemaleHumansObesityRetrospective StudiesBody mass indexBone maturationDehydroepiandrosterone sulfateInsulin-like growth factor-1Premature thelarche

Identifiers

PMID32727432
PMCPMC7388507
OpenAlexW3045641415

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.