Evidence map›Paper›PMID 34285529›Full record

ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2021

Serum Heparanase: A New Clinical Biomarker Involved in Senile Metabolic Inflammatory Syndrome.

Qingsong Wang, Xiu-Ling Zhou, Guang-Hai Mei, Jiantao Wang, Zhongyu Yu, Yue Hu, Xinyu Guo, Hanyu Zhang, Xiaodie Xu, Chengfeng He and 3 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 41% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

13 authors at 2 institutions in 1 country.

Qingsong WangDepartment of Geriatrics, Huashan Hospital, National Clinical Research Center for Aging and Medicine, Fudan University, Shanghai, 200040, People's Republic of China.
Xiu-Ling ZhouDepartment of Ultrasonics, Huashan Hospital, Fudan University, Shanghai, 200040, People's Republic of China.
Guang-Hai MeiDepartment of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, 200040, People's Republic of China.
Jiantao WangDepartment of Geriatrics, Huashan Hospital, National Clinical Research Center for Aging and Medicine, Fudan University, Shanghai, 200040, People's Republic of China.
Zhongyu YuDepartment of Geriatrics, Huashan Hospital, National Clinical Research Center for Aging and Medicine, Fudan University, Shanghai, 200040, People's Republic of China.
Yue HuDepartment of Geriatrics, Huashan Hospital, National Clinical Research Center for Aging and Medicine, Fudan University, Shanghai, 200040, People's Republic of China.
Xinyu GuoDepartment of Geriatrics, Huashan Hospital, National Clinical Research Center for Aging and Medicine, Fudan University, Shanghai, 200040, People's Republic of China.
Hanyu ZhangDepartment of Geriatrics, Huashan Hospital, National Clinical Research Center for Aging and Medicine, Fudan University, Shanghai, 200040, People's Republic of China.
Xiaodie XuNational Key Laboratory of Medical Neurobiology, Institute of Brain Science, Fudan University, Shanghai, 200030, People's Republic of China.
Chengfeng HeNational Key Laboratory of Medical Neurobiology, Institute of Brain Science, Fudan University, Shanghai, 200030, People's Republic of China.
Jingchun GuoNational Key Laboratory of Medical Neurobiology, Institute of Brain Science, Fudan University, Shanghai, 200030, People's Republic of China.
Yinghong TaoDepartment of Medical Examination Center, Huashan Hospital, Fudan University, Shanghai, 200040, People's Republic of China.
Houguang ZhouDepartment of Geriatrics, Huashan Hospital, National Clinical Research Center for Aging and Medicine, Fudan University, Shanghai, 200040, People's Republic of China.
Fudan University · CNHuashan Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimMetabolic inflammation syndrome (MIS) can lead to a series of complications, but its exact inflammatory mechanism is still unclear. The aim of this study was to explore the correlation between heparanase (HPA) and MIS, and the close relationship between HPA and other chronic low-grade inflammation index, such as C-reactive protein (CRP) and interleukin-6 (IL-6).

methodsA total of 105 patients with MIS in the physical examination population of Huashan Hospital affiliated to Fudan University from May to June 2018 were selected as the MIS group, and 52 patients who were relatively healthy during the same period were used as the control group. The basic clinical data of the selected candidates were collected, the levels of serum HPA, CRP and IL-6 were measured by ELISA, and the levels of blood glucose and blood lipids were also detected.

resultsCompared with the control group, the levels of HPA, CRP, IL-6, FBG, HbA

conclusionHigher HPA levels might play a certain role in the occurrence and development of MIS. There was a certain close correlation between serum HPA level and CRP and IL-6 levels, and which indicated that HPA was involved in the chronic low-grade inflammatory reaction process of MIS.

Indexed as

chronic low-grade inflammationCLGIC-reactive proteinCRPheparanaseHPAIL-6interleukin-6metabolic inflammatory syndromeMIS

Identifiers

PMID34285529
PMCPMC8286426
OpenAlexW3182448311

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.