Evidence map›Paper›PMID 29789791›Full record

Trial reportBioMed research international2018

Association between Insulin-Like Growth Factor-1 and Uric Acid in Chinese Children and Adolescents with Idiopathic Short Stature: A Cross-Sectional Study.

Panpan Wang, Baolan Ji, Qian Shao, Mei Zhang, Bo Ban

Open access · hybridAbstract readClinical Trial
In one paragraph

Trial report in BioMed research international, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
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

9 citing papers in PubMed, 14 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Panpan WangDepartment of Endocrinology, Affiliated Hospital of Jining Medical University, Jining, Shandong 272029, China.ORCID 0000-0002-0218-6019
Baolan JiDepartment of Endocrinology, Affiliated Hospital of Jining Medical University, Jining, Shandong 272029, China.ORCID 0000-0003-3644-5995
Qian ShaoDepartment of Endocrinology, Affiliated Hospital of Jining Medical University, Jining, Shandong 272029, China.ORCID 0000-0001-9921-9667
Mei ZhangDepartment of Endocrinology, Affiliated Hospital of Jining Medical University, Jining, Shandong 272029, China.ORCID 0000-0003-1107-1026
Bo BanDepartment of Endocrinology, Affiliated Hospital of Jining Medical University, Jining, Shandong 272029, China.ORCID 0000-0002-3950-1422
Affiliated Hospital of Jining Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe aim of this study was to examine the relationship between insulin-like growth factor-1 (IGF-1) and serum uric acid (UA) in Chinese children and adolescents with idiopathic short stature (ISS).

methodsA cross-sectional study of 91 Chinese children and adolescents with ISS was performed. Anthropometric measurements and biochemical parameters were tested. The standard deviation score of IGF-1 (IGF-1 SDS) was calculated.

resultsA univariate analysis displayed a significant positive correlation between IGF-1 SDS and UA (

conclusionsThis study demonstrated a nonlinear relationship between IGF-1 and UA levels in Chinese children and adolescents with ISS. This finding suggests that either high or low levels of UA may have an adverse effect on IGF-1, whereas appropriate UA levels have a beneficial effect.

Indexed as

AdolescentAsian PeopleChildChinaCross-Sectional StudiesFemaleGrowth DisordersHumansInsulin-Like Growth Factor IMaleUric AcidIGF1 protein, humanInsulin-Like Growth Factor IUric Acid

Identifiers

PMID29789791
PMCPMC5896336
OpenAlexW2788257219

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.