Evidence map›Paper›PMID 38387871›Full record

ReviewThe international journal of lower extremity wounds2026

Diabetic Foot Screening Guidelines and the Role of Artificial Intelligence: Time to Turn the Tide!

Cynthia Formosa, Nachiappan Chockalingam, Nikolaos Papanas, Alfred Gatt

Open access · hybridAbstract readReview
In one paragraph

Review in The international journal of lower extremity wounds, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 2 pooled it
3.2field-weighted citation impact, top 7% 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

5 citing papers in PubMed, 2 syntheses or guidelines pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Observational
  4. Article
  5. 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

4 authors at 2 institutions in 3 countries.

Cynthia FormosaFaculty of Health Sciences, University of Malta, Msida, Malta.ORCID 0000-0002-4251-1621
Nachiappan ChockalingamFaculty of Health Sciences, University of Malta, Msida, Malta.ORCID 0000-0002-7072-1271
Nikolaos PapanasDiabetes Centre-Diabetic Foot Clinic, Second Department of Internal Medicine, Democritus University of Thrace, Alexandroupolis, Greece.ORCID 0000-0002-7320-785X
Alfred GattFaculty of Health Sciences, University of Malta, Msida, Malta.ORCID 0000-0002-0489-6479
University of Malta · MTDemocritus University of Thrace · GR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite medical and technological advancements, foot amputations continue to rise. Thus, the effort of diabetic foot management should be toward prevention and early diagnosis. Healthcare professionals need to be trained, equipped, and supported with adequate resources to be able to identify and deliver appropriate foot care. Every effort should be made to minimize the impact of complications and to ensure prompt access to care for everyone. Artificial intelligence and smart technology could provide a significant opportunity to improve efficiency in diabetes care, which may reduce diabetic foot complications. The possible potential of the new technologies which are emerging together with their current developing applications for diabetic foot care are suggested. A call for immediate change in diabetes foot screening guidelines is imperative to save limbs and lives.

Indexed as

Artificial IntelligenceDiabetic FootMass ScreeningPractice Guidelines as TopicAmputation, SurgicalEarly DiagnosisHumansartificial intelligencediabetesdiabetic footmedical technologyprevention

Identifiers

PMID38387871
PMCPMC13191070
OpenAlexW4392774505

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.