ArticleCureus2023
A Comparative Study Between Use of Topical Honey and Edinburgh University's Solution of Lime (EUSOL) Dressing in Necrotizing Fascitis Wounds.
Article in Cureus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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.
Who cites it
3 citing papers in PubMed, 6 citations in OpenAlex.
- Meleney's gangrene triggered by suprapubic catheter dislodgment and urine extravasation: A case report and review of management strategies.Qatar medical journal · 2026Article
- A Clinical Assessment of the Safety and Efficacy of VELVERTInfection and drug resistance · 2026Article
- Honey as a Wound Care Modality in Treating Deep Neck Space Abscesses: Protocol for a Randomized Controlled Trial.JMIR research protocols · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction Necrotizing soft tissue infection is potentially life-threatening and involves subcutaneous fascial planes, later involving overlying skin and, eventually, underlying muscles. Early diagnosis and prompt treatment are necessary for this disease's management to avoid significant morbidity and fatality. After resuscitation and optimization, early surgical debridement is followed by serials of dressing. Various materials like Edinburgh University's solution of lime (EUSOL), normal saline, povidone-iodine, and honey have been used as dressing solutions for necrotizing fasciitis. This study is based on comparing the effects of honey and EUSOL as dressing solutions in necrotizing fasciitis wounds. Methods A randomized clinical trial was conducted at the Civil Hospital Karachi, from March 2020 to July 2021. This study has been approved by the ethical review committee of the institution and registered at clinicaltrial.gov. Based on the dressing solution for necrotizing fasciitis, patients were divided into two groups, The honey group (intervention group) contains 90 patients, and the EUSOL group (control group) has 85 patients. Results A total of 175 patients' data were analyzed, 90 in the honey group and 85 in the EUSOL group. Patients presented to the hospital with symptoms of 6.20 ± 2.72 days in the honey group and 6.67 ± 4.08 days in the EUSOL group. The days required for clearance of slough in the honey group were 2.83 ± 0.79, while 2.48 ± 0.82 days in the EUSOL group with a p-value of 0.005. The duration of hospital stay was 4.96 ± 1.31 days in the intervention group and 9.33 ± 1.45 days in the control group, with a p-value of 0.007. Wound healing days were 20.23 ± 4.45 in the intervention group while 28.38 ± 7.06 days in the control group, with a significant p-value of 0.000. Conclusion While managing necrotizing soft tissue infection wounds with honey. Honey promotes faster wound healing and shorter hospital stays compared to EUSOL.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.