Evidence mapPaperPMID 39355932Full record

SynthesisDiabetes, obesity & metabolism2025

Key biomarkers in type 2 diabetes patients: A systematic review.

Thien Ngoc Le, Richard Bright, Vi-Khanh Truong, Jordan Li, Rajiv Juneja, Krasimir Vasilev

Abstract readSystematic Review
In one paragraph

Synthesis in Diabetes, obesity & metabolism, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 2 pooled it
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

19 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

6 authors.

Thien Ngoc LeCollege of Medicine and Public Health, Flinders University, Adelaide, South Australia, Australia.ORCID 0000-0002-8193-7609
Richard BrightCollege of Medicine and Public Health, Flinders University, Adelaide, South Australia, Australia.ORCID 0000-0003-1988-0725
Vi-Khanh TruongCollege of Medicine and Public Health, Flinders University, Adelaide, South Australia, Australia.ORCID 0000-0002-6016-6438
Jordan LiCollege of Medicine and Public Health, Flinders University, Adelaide, South Australia, Australia.ORCID 0000-0002-5028-6903
Rajiv JunejaCollege of Medicine and Public Health, Flinders University, Adelaide, South Australia, Australia.ORCID 0000-0001-9687-544X
Krasimir VasilevCollege of Medicine and Public Health, Flinders University, Adelaide, South Australia, Australia.ORCID 0000-0003-3534-4754

Funding

Flinders FoundationNational Health and Medical Research Council GNT1194466
6 · The paper itself

Abstract

Type 2 diabetes mellitus (T2DM) is not just a local health issue but a significant global health burden, affecting patient outcomes and clinical management worldwide. Despite the wealth of studies reporting T2DM biomarkers, there is an urgent need for a comparative review. This review aims to provide a comprehensive analysis based on the reported T2DM biomarkers and how these are linked with other conditions, such as inflammation and wound healing. A comparative review was conducted on 24 001 study participants, including 10 024 T2DM patients and 13 977 controls (CTL; age 30-90 years). Four main profiles were extracted and analysed from the clinical reports over the past 11 years: haematological (1084 cases vs. 1458 CTL), protein (6753 cases vs. 9613 CTL), cytokine (975 cases vs. 1350 CTL) and lipid (1212 cases vs. 1556 CTL). This review provides a detailed analysis of the haematological profile in T2DM patients, highlighting fundamental changes such as increased white blood cells and platelet counts, accompanied by decreases in red blood cell counts and iron absorption. In the serum protein profile, a reduction in albumin and anti-inflammatory cytokines was noted along with an increase in globulin levels and pro-inflammatory cytokines. Furthermore, changes in lipid profiles were discussed, specifically the decreases in high-density lipoprotein (HDL) and the increases in low-density lipoprotein (LDL) and triglycerides. Understanding the changes in these four biomarker profiles is essential for developing innovative strategies to create diagnostic and prognostic tools for diabetes management.

Indexed as

BiomarkersDiabetes Mellitus, Type 2AdultAgedAged, 80 and overBlood ProteinsCytokinesFemaleHumansLipidsMaleMiddle AgedBiomarkersBlood ProteinsCytokinesLipidsbiomarkerscytokinesglucose intoleranceglycaemic indexhyperglycaemiainflammationlipidsT2DMtype 2 diabetes

Identifiers

PMID39355932
PMCPMC11618249

What Socratic 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 Socratic graph.