Evidence mapPaperPMID 40487606Full record

ArticleWorld journal of diabetes2025

Various classification methods for diabetes mellitus in the management of blood glucose control.

Qing Jiang, Yun Hu, Jian-Hua Ma

Abstract readEditorial
In one paragraph

Article in World journal of diabetes, 2025. 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.

  1. 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

3 authors.

Qing JiangDepartment of Endocrinology, The Affiliated Geriatric Hospital of Nanjing Medical University, Nanjing 210000, Jiangsu Province, China.
Yun HuDepartment of Endocrinology, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi 214000, Jiangsu Province, China.
Jian-Hua MaDepartment of Endocrinology, Nanjing First Hospital, Nanjing 210000, Jiangsu Province, China. majianhua@china.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the era of precision medicine, the classification of diabetes mellitus has evolved beyond the traditional categories. Various classification methods now account for a multitude of factors, including variations in specific genes, type of β-cell impairment, degree of insulin resistance, and clinical characteristics of metabolic profiles. Improved classification methods enable healthcare providers to formulate blood glucose management strategies more precisely. Applying these updated classification systems, will assist clinicians in further optimising treatment plans, including targeted drug therapies, personalized dietary advice, and specific exercise plans. Ultimately, this will facilitate stricter blood glucose control, minimize the risks of hypoglycaemia and hyperglycaemia, and reduce long-term complications associated with diabetes.

Indexed as

Diabetes classificationGlycaemic controlPersonalised treatmentPrecision medicineSoft clustering

Identifiers

PMID40487606
PMCPMC12142176

What Socratic holds

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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.