Evidence map›Paper›PMID 42039133›Full record

SynthesisFrontiers in endocrinology2026

Association between spexin and type 2 diabetes mellitus: a systematic review and meta-analysis.

Xin Sun, Jiayi Yao, Jinsong Kuang, Caihong Xin

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Frontiers in endocrinology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Xin Sun *Department of Endocrinology, First Affiliated Hospital of Soochow University, Suzhou, China.
Jiayi Yao *Department of Endocrinology, First Affiliated Hospital of Soochow University, Suzhou, China.
Jinsong KuangDepartment of Endocrinology, Fourth People`s Hospital of Shenyang, Shenyang, China.
Caihong XinDepartment of Endocrinology, Fourth People`s Hospital of Shenyang, Shenyang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Accumulating evidence suggests that spexin is implicated in cellular energy balance, glucose and lipid metabolism, appetite suppression, and water-electrolyte regulation, and is closely associated with metabolic conditions including obesity, hyperglycemia, and hyperlipidemia. However, due to limitations in sample size, ethnic diversity among study populations, and variability in clinical study designs, existing findings on the association between spexin and Type 2 diabetes mellitus (T2DM) remain inconsistent. Aim: This meta-analysis aimed to statistically evaluate the level of spexin in patients with T2DM. Methods: A systematic literature search was conducted across five electronic databases (PubMed, Web of Science, OVID, Elsevier Science Direct, and Wiley Online Library). The search strategy targeted the terms "spexin" in conjunction with "Type 2 diabetes mellitus" or "T2DM" in title and abstract fields. Results are presented as standardized mean differences (SMD) with 95% confidence intervals (CI). Results: Eleven articles (1,122 cases and 681 controls) were included in the meta-analysis. The results of the meta-analysis indicated that the circulating spexin in patients with T2DM was significantly lower than that of the controls (SMD: -2.32, 95% CI: -3.32, -1.31). Conclusions: This meta-analysis is the first to comprehensively evaluate the level of circulating spexin in patients with T2DM. Given the substantial heterogeneity observed, the conclusions should be interpreted with caution. Future studies with standardized methodologies are needed to validate our findings and investigate the potential mechanisms.

Indexed as

Diabetes Mellitus, Type 2Peptide HormonesHumansPeptide HormonesSPX protein, humanmetameta-analysisspexinT2DMtype 2 diabetes mellitus

Identifiers

PMID42039133
PMCPMC13105922

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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.