Evidence mapPaperPMID 40688652Full record

ReviewJournal of diabetes and metabolic disorders2025

Emerging insights of decoding the genetic blueprint, molecular mechanisms, and future horizons in precision medicine for the treatment of type 2 diabetes.

Amjad Yousuf

Abstract readReview
In one paragraph

Review in Journal of diabetes and metabolic disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Review
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

1 author.

Amjad YousufClinical Laboratory Sciences Department, College of Applied Medical Sciences, Taibah University, Madinah, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Type 2 diabetes mellitus (T2D) is a complex, multifactorial metabolic disorder that poses a significant global health challenge. Despite advancements in conventional therapies, limitations persist in achieving optimal glycemic control, primarily due to the disease's heterogeneity. Precision medicine represents a paradigm shift in the management of T2D by tailoring treatments to individual genetic, molecular, and environmental factors. This review examines the genetic and molecular mechanisms underlying T2D and their implications for precision medicine, highlighting critical advancements in genomic and multi-omics technologies, including pharmacogenomics and transcriptomics. It also discusses the limitations of traditional therapeutic approaches and identifies the unmet needs in diabetes care. Furthermore, this review examines future directions, including the integration of artificial intelligence, microbiome analysis, and digital health tools, to advance precision medicine in T2D. By bridging research and clinical practice, this review aims to inspire innovative strategies that redefine the landscape of T2D management and offer hope for improved patient outcomes through personalized interventions. Graphical abstract:

Indexed as

Genetic blueprintMulti-omics technologiesPharmacogenomicsPrecision medicineType 2 diabetes

Identifiers

PMID40688652
PMCPMC12267117

What Socratic 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 Socratic graph.