The Association Between Serum

Ling Sun, Lingyan He, Hao Zhang, Bruno Fink, Haihua Pan, Changlin Zhai

Abstract read

In one paragraph

Article in International journal of endocrinology, 2026. 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

–field-weighted citation impact

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.

The Association Between SerumInternational journal of endocrinology · 2026
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

6 authors.

Ling SunZhejiang Chinese Medical University, Hangzhou, Zhejiang, China, zcmu.edu.cn.ORCID https://orcid.org/0009-0007-7236-8604

Lingyan HeZhejiang Chinese Medical University, Hangzhou, Zhejiang, China, zcmu.edu.cn.ORCID https://orcid.org/0009-0005-1094-3074

Hao ZhangHeart and Vascular Center Rhein-Nahe-Pfalz, Landkreis, Bad Kreuznach, Germany.ORCID https://orcid.org/0009-0003-7962-0957

Bruno FinkNoxygen Science Transfer & Diagnostics GmbH, Elzach, Germany.ORCID https://orcid.org/0000-0003-1504-5132

Haihua PanDepartment of Cardiology, The First Hospital of Jiaxing Affiliated Hospital of Jiaxing University, Jiaxing, Zhejiang, China.ORCID https://orcid.org/0009-0000-4395-8639

Changlin ZhaiZhejiang Chinese Medical University, Hangzhou, Zhejiang, China, zcmu.edu.cn.ORCID https://orcid.org/0009-0008-1232-7322

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Obesity and abdominal obesity are major public health issues closely related to metabolic diseases. Serum Methods: Using cross-sectional data from NHANES (2015-2018), 2219 adult women were divided into three groups based on SSAGP levels (low, medium, and high). Multiple regression analyses assessed the relationship between SSAGP and BMI, waist circumference, obesity (BMI ≥ 30 kg/m Results: As SSAGP levels increased, BMI, waist circumference, fasting blood glucose, insulin, and hs-CRP levels rose significantly ( Conclusion: SSAGP levels are significantly associated with obesity and abdominal obesity in women, with educational level playing a modulatory role. SSAGP may serve as a potential biomarker for obesity risk. Future studies should explore the causal relationships and underlying mechanisms.

Indexed as

abdominal obesityinflammationmetabolic syndromeNHANESobesityserum α1-acid glycoprotein

Identifiers

PMID41626050

DOI10.1155/ije/1513929

PMCPMC12857777

What OpenQuestion holds

Textmetadata

LicenceCC BY

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.