Evidence map›Paper›PMID 35153495›Full record

ReviewDiabetes, metabolic syndrome and obesity : targets and therapy2022

Personalized Type 2 Diabetes Management: An Update on Recent Advances and Recommendations.

David M Williams, Hannah Jones, Jeffrey W Stephens

Open access · goldAbstract readReview
In one paragraph

Review in Diabetes, metabolic syndrome and obesity : targets and therapy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed
14.4field-weighted citation impact, top 1% of its field
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

62 citing papers in PubMed, 107 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Mussel-Bioinspired Edible CaAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Review
  15. Sociodemographic and biological determinants of insulin initiation in type 2 diabetes: a cohort study using routinely collected primary care data.The British journal of general practice : the journal of the Royal College of General Practitioners · 2025
    Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Article

2 more citing papers are in PubMed but not listed here.

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 at 1 institution in 1 country.

David M WilliamsDepartment of Diabetes and Endocrinology, Morriston Hospital, Swansea Bay University Health Board, Swansea, SA6 8NL, UK.ORCID 0000-0001-9206-5837
Hannah JonesDepartment of Diabetes and Endocrinology, Morriston Hospital, Swansea Bay University Health Board, Swansea, SA6 8NL, UK.
Jeffrey W StephensDepartment of Diabetes and Endocrinology, Morriston Hospital, Swansea Bay University Health Board, Swansea, SA6 8NL, UK.ORCID 0000-0003-2228-086X
Swansea Bay University Health Board · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Previous guidelines for the treatment of people with type 2 diabetes mellitus (T2D) have relied heavily upon rigid algorithms for the sequential addition of pharmacotherapies to achieve target glycemic control. More recent guidelines advocate a personalized approach for diabetes treatment, to improve patient satisfaction, quality of life, medication adherence and overall health outcomes. Clinicians should work with patients to develop personalized goals for their treatment, including targeted glycemic control, weight management, prevention and treatment of associated comorbidities and avoidance of complications such as hypoglycemia. Factors that affect the intensity of treatment and choice of pharmacotherapy should include medical and patient influences. Medical considerations include the diabetes phenotype, biomarkers including genetic tests, and the presence of comorbidities such as cardiovascular, renal, or hepatic disease. Patient factors include their treatment preference, age and life expectancy, diabetes duration, hypoglycemia fear and unawareness, psychological and social circumstances. The use of a personalized approach in the management of people with T2D can reduce the cost and failure associated with the algorithmic "one-size-fits-all" approach, to anticipate disease progression, improve the response to diabetes pharmacotherapy and reduce the incidence of diabetes-associated complications. Ultimately, the use of personalized medicine in people with T2D should improve medication adherence, patient satisfaction and quality of life to reduce diabetes distress and improve physical health outcomes.

Indexed as

personalized managementprecision medicineresourcestreatmenttype 2 diabetes mellitus

Identifiers

PMID35153495
PMCPMC8824792
OpenAlexW4210447482

What Socratic holds

Textmetadata
LicenceCC BY-NC
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.