Evidence map›Paper›PMID 31875304›Full record

ArticleEndocrine2020

Metabolic profiling of acromegaly using a GC-MS-based nontargeted metabolomic approach.

Hengchi Yu, Yaqun Zhao, Yazhuo Zhang, Liyong Zhong

Abstract read
PubMed Publisher
In one paragraph

Article in Endocrine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
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

3 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Review
  3. 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.

Hengchi YuDepartment of Endocrinology, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, PR China.ORCID http://orcid.org/0000-0001-8287-9570
Yaqun ZhaoDepartment of Endocrinology, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, PR China.
Yazhuo ZhangDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, PR China.
Liyong ZhongDepartment of Endocrinology, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, PR China. zhongliyong@126.com.
Capital Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeAcromegaly is a rare disease caused by chronic hypersecretion of growth hormone, which leads to multiple comorbidities and reduced life expectancy. The objective of this study was to characterize the serum metabolic profiles of acromegaly patients and identify metabolic biomarkers using metabolomics.

methodsTwenty-nine active acromegaly patients and age- and sex-matched normal controls were recruited. Serum samples were collected, and serum metabolites were analyzed using gas chromatography-mass spectrometry coupled with a series of multivariate statistical analyses.

resultsThe orthogonal projections to latent structures-discriminate analysis (OPLS-DA) model identified and validated significant metabolic differences between individuals with acromegaly and normal controls (R

conclusionsMetabolic activity is significantly altered in the serum of individuals with active acromegaly. Glyceric acid and taurine may be considered potential biomarkers for distinguishing acromegaly patients from normal controls.

Indexed as

AcromegalyBiomarkersGas Chromatography-Mass SpectrometryHumansMetabolomeMetabolomicsBiomarkersAcromegalyGas chromatography–mass spectrometryGlyceric acidMetabolic biomarkersMetabolomicsTaurine

Identifiers

PMID31875304
OpenAlexW2997274336

What OpenQuestion holds

Textmetadata
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.