Evidence map›Paper›PMID 34495543›Full record

ArticleAdvances in experimental medicine and biology2021

Glycosylation Profiling as a Biomarker of Suboptimal Health Status for Chronic Disease Stratification.

Xueqing Wang, Zhaohua Zhong, Lois Balmer, Wei Wang

Open access · greenAbstract read
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In one paragraph

Article in Advances in experimental medicine and biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
8.9field-weighted citation impact, top 2% 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

6 citing papers in PubMed, 10 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

4 authors at 3 institutions in 2 countries.

Xueqing WangSchool of Health and Medical Sciences, Edith Cowan University, Perth, Australia.
Zhaohua ZhongCollege of Basic Medical Sciences, Harbin Medical University, Harbin, China.
Lois BalmerSchool of Health and Medical Sciences, Edith Cowan University, Perth, Australia.
Wei WangSchool of Health and Medical Sciences, Edith Cowan University, Perth, Australia. wei.wang@ecu.edu.au.
Harbin Medical University · CNEdith Cowan University · AUShantou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

WHO defines health as "a state of complete physical, mental, and social well-being and not merely the absence of disease or infirmity." We coined and defined suboptimal health status (SHS) as a subclinical, reversible stage of the pre-chronic disease. SHS is a physical state between health and disease, characterized by health complaints, general weakness, chronic fatigue, and low energy levels. We have developed an instrument to measure SHS, Suboptimal Health Status Questionnaire-25 (SHSQ-25), a self-reported survey assessing five health components that has been validated in various ethnical populations. Our studies suggest that SHS is associated with the major components of cardiovascular health and the early onset of metabolic diseases. Besides subjective measure of health (SHS), glycans are conceived as objective biomarkers of SHS. Glycans are complex and branching carbohydrate moieties attached to proteins, participating in inflammatory regulation and chronic disease pathogenesis. We have been investigating the role of glycans and SHS in multiple cardiometabolic diseases in different ethnical populations (African, Chinese, and Caucasian). Here we present case studies to prove that a combination of subjective health measure (SHS) with objective health measure (glycans) represents a window of opportunity to halt or reverse the progression of chronic diseases.

Indexed as

Health StatusBiomarkersChronic DiseaseGlycosylationHumansSurveys and QuestionnairesBiomarkersBiomarkersChronic diseasesGlycosylationN-glycanSuboptimal health status

Identifiers

PMID34495543
OpenAlexW3197223943

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.