Evidence map›Paper›PMID 33414826›Full record

ArticleInternational journal of endocrinology2020

Serum Levels of Asprosin, a Novel Adipokine, Are Significantly Lowered in Patients with Acromegaly.

Xiaoan Ke, Lian Duan, Fengying Gong, Yuelun Zhang, Kan Deng, Yong Yao, Linjie Wang, Hui Pan, Huijuan Zhu

Open access · goldAbstract read
In one paragraph

Article in International journal of endocrinology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 2 pooled it
1.3field-weighted citation impact, top 18% 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, 2 syntheses or guidelines pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. Article
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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

9 authors at 1 institution in 1 country.

Xiaoan KeDepartment of Endocrinology, State Key Laboratory of Complex Severe and Rare Diseases, Key Laboratory of Endocrinology of National Health Commission, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100730, China.ORCID https://orcid.org/0000-0002-4182-2890
Lian DuanDepartment of Endocrinology, State Key Laboratory of Complex Severe and Rare Diseases, Key Laboratory of Endocrinology of National Health Commission, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100730, China.ORCID https://orcid.org/0000-0002-4213-474X
Fengying GongDepartment of Endocrinology, State Key Laboratory of Complex Severe and Rare Diseases, Key Laboratory of Endocrinology of National Health Commission, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100730, China.ORCID https://orcid.org/0000-0002-6361-3811
Yuelun ZhangCentral Research Laboratory, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100730, China.ORCID https://orcid.org/0000-0001-7990-9003
Kan DengDepartment of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100730, China.ORCID https://orcid.org/0000-0001-9571-3705
Yong YaoDepartment of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100730, China.ORCID https://orcid.org/0000-0001-6982-8832
Linjie WangDepartment of Endocrinology, State Key Laboratory of Complex Severe and Rare Diseases, Key Laboratory of Endocrinology of National Health Commission, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100730, China.ORCID https://orcid.org/0000-0002-9548-0398
Hui PanDepartment of Endocrinology, State Key Laboratory of Complex Severe and Rare Diseases, Key Laboratory of Endocrinology of National Health Commission, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100730, China.ORCID https://orcid.org/0000-0003-2413-0646
Huijuan ZhuDepartment of Endocrinology, State Key Laboratory of Complex Severe and Rare Diseases, Key Laboratory of Endocrinology of National Health Commission, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100730, China.ORCID https://orcid.org/0000-0001-5172-6870
Chinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAsprosin is a novel identified adipokine secreted mainly by white adipose tissue, which is elevated in metabolic diseases such as diabetes and obesity. Acromegaly is a syndrome caused by pituitary growth hormone (GH) cell adenoma with excessive GH secretion. Serum adipocytokines levels may be involved in abnormal glycolipid metabolism in acromegaly patients.

objectivesTo investigate serum asprosin levels in acromegaly patients and its correlation with high GH levels and glucolipid metabolic parameters.

methodsA retrospective case-control study was conducted and 68 acromegaly patients and 121 controls were included in this study. Clinical information and laboratory examinations were collected and serum asprosin levels were measured by commercial ELISA kits.

resultsSerum asprosin levels in acromegaly patients were significantly lower than controls (

conclusionsSerum asprosin levels in acromegaly patients are lowered, which may be related to increased blood glucose and reduced body fat mass caused by long-term high GH levels exposure.

Identifiers

PMID33414826
PMCPMC7752286
OpenAlexW3112519060

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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.