Evidence map›Paper›PMID 40859782›Full record

ReviewDiabetes & metabolism journal2025

Diabetes Mellitus and Infectious Diseases: Current Evidence and Clinical Implications.

Taeeun Kim, Sang-Ho Choi

Abstract readReview
In one paragraph

Review in Diabetes & metabolism journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Article
  2. Review
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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

2 authors.

Taeeun KimDepartment of Internal Medicine, Hanyang University College of Medicine, Seoul, Korea.
Sang-Ho ChoiDepartment of Infectious Diseases, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetes mellitus predisposes individuals to a broad spectrum of infections. People with diabetes face a 1.5- to 4-fold increased risk of both common and severe infections, and infections remain the leading cause of morbidity and mortality. Chronic hyperglycemia impairs neutrophil chemotaxis, oxidative burst, and complement activation, while vascular insufficiency and neuropathy compromise tissue perfusion and barrier integrity. These defects, together with altered skin, mucosal, and gut microbiota, influence the marked susceptibility to urinary tract infections (especially renal abscess and emphysematous pyelonephritis), osteomyelitis, diabetic foot infections, pneumonia (including influenza), tuberculosis, skin and soft tissue infections, and lifethreatening syndromes such as emphysematous cholecystitis and rhino-orbital mucormycosis that are almost exclusive to people with diabetes. Outcomes from infections are worse in diabetes. Although the core therapeutic principles align with those for patients without diabetes, management should be individualized. Glycemic control should balance infection risk and hypoglycemia; antimicrobial dosing should account for renal function and drug interactions; and strict antimicrobial stewardship is required. If needed, prompt debridement and multidisciplinary intervention are necessary to mitigate complications and reduce mortality. Preventive care relies on comprehensive vaccination (influenza, pneumococcus, severe acute respiratory syndrome coronavirus 2 [SARS-CoV-2], hepatitis B, herpes zoster, and Tdap/Td) and regular foot surveillance with offloading to avert ulceration.

Indexed as

Communicable DiseasesDiabetes ComplicationsDiabetes MellitusCOVID-19HumansSARS-CoV-2Communicable diseasesDiabetes mellitusHyperglycemiaImmunityInfections

Identifiers

PMID40859782
PMCPMC12436038

What OpenQuestion holds

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LicenceCC BY-NC
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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 OpenQuestion graph.