Evidence map›Paper›PMID 38956839›Full record

ArticleThe American journal of case reports2024

Low-Level Laser Therapy (LLLT) for Diabetic Foot Ulcer in Uncontrolled Diabetes: A Case Report of Improved Wound Healing.

Yose Waluyo, Muhammad Syairozi Hidayat

Abstract readCase Reports
In one paragraph

Article in The American journal of case reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Observational
  2. 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

2 authors.

Yose WaluyoDepartment of Physical Medicine and Rehabilitation, Faculty of Medicine, Hasanuddin University, Makassar, South Sulawesi, Indonesia.ORCID 0000-0002-0759-3270
Muhammad Syairozi HidayatDepartment of Physical Medicine and Rehabilitation, Faculty of Medicine, Hasanuddin University, Makassar, South Sulawesi, Indonesia.ORCID 0009-0004-7929-7421

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND Diabetes mellitus (DM) is one of the most prevalent diseases worldwide and is associated with increased morbidity and mortality. One of the microvascular complications of DM is diabetic foot ulcer (DFU), which is associated with increased mortality from serious infections and decreased functional capacity of the patient due to amputation. Uncontrolled diabetes is a significant risk factor for poor wound healing. There is a need for alternative treatments that can promote wound healing in these patients. Several studies have shown the effect of low-level laser therapy (LLLT) on wound healing in patients with DFU. LLLT is a potential therapeutic approach in patients with DFU. CASE REPORT A 55-year-old male patient presented with a history of DM, diabetic neuropathy, and diabetic foot. The patient had uncontrolled blood sugar levels, with an HbA1C of 9.3%. The patient received therapy in the form of wound care with normal saline, topical antibiotics, and LLLT, with a dose of 10 J/cm² with a frequency of therapy 3 times per week. After 12 weeks of therapy, there was improvement, characterized by wound tissue growth and no significant adverse effects during therapy. CONCLUSIONS LLLT can provide benefits in patients with DFU and uncontrolled diabetes. The wound showed improvement after 12 weeks of therapy, and there were no significant adverse effects during therapy. LLLT is a minimally invasive, easy-to-use, and inexpensive therapeutic option to induce wound healing in patients with DFU and uncontrolled diabetes.

Indexed as

Diabetic FootLow-Level Light TherapyWound HealingDiabetes Mellitus, Type 2HumansMaleMiddle Aged

Identifiers

PMID38956839
PMCPMC11332970

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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.