Evidence map›Paper›PMID 37830052›Full record

ReviewClinical pathology (Thousand Oaks, Ventura County, Calif.)

Various Types of Wounds That Diabetic Patients Can Develop: A Narrative Review.

Suriadi Jais

Open access · goldAbstract readReview
In one paragraph

Review in Clinical pathology (Thousand Oaks, Ventura County, Calif.). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
6.2field-weighted citation impact, top 3% 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

15 citing papers in PubMed, 31 citations in OpenAlex.

  1. Trial
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  15. Autologous Blood Clot Therapy for Wounds: Investigating the Chemotactic Effect on PBMCs and Fibroblasts in Diabetes.Wound repair and regeneration : official publication of the Wound Healing Society [and] the European Tissue Repair Society
    Article
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 at 1 institution in 1 country.

Suriadi JaisSchool of Nursing, The Institute of Technology and Health Muhammadiyah KALBAR, Pontianak, Indonesia.
Universitas Muhammadiyah Pontianak · ID

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetic foot complications represent a substantial health burden and are the foremost cause of hospitalization in patients with diabetes. Diabetes mellitus (DM) is known to cause several other problems. Diabetes is rapidly becoming the leading cause of illness and death worldwide. Diabetic foot ulcers (DFU) are one of the most painful complications of diabetes. These complications cause problems in blood vessels, nerves, and other organs throughout the body. DFU pathophysiology is attributed to a triad of neuropathies, trauma with secondary infection, and arterial occlusive disease. This review aims to identify the types of wounds that diabetics can develop. Owing to the complexity of their disease pathology, diabetics are susceptible to a variety of wounds, such as diabetic ulcers due to trauma (DUDT); neuropathic, ischemic, neuroischemic, arterial, venous, and mixed wounds; and diabetic bullae, furuncles, cellulitis, and carbuncles. Therefore, it is essential for healthcare providers to recognize the specific classification of a diabetic wound based on its distinctive attributes to provide appropriate wound care and therapeutic interventions. In the context of individuals with diabetes, it is of paramount significance to precisely identify the types of wounds during the initial evaluation to provide appropriate care and treatment, thereby enhancing the probability of favorable outcomes.

Indexed as

arterialDiabetic woundsDUDTischemicneuroischemicneuropathicvenous

Identifiers

PMID37830052
PMCPMC10566271
OpenAlexW4387545206

What OpenQuestion 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 OpenQuestion graph.