Evidence map›Paper›PMID 38226197›Full record

ArticleWorld journal of plastic surgery2023

Comparison of the Effect of Using Collective Plus Ag Dressing and Vaseline Gauze Dressing in the Donor of Split-Thickness Burn Grafts.

Mostafa Dahmardehei, Raheleh Moin Ara, Hossein Akbari Ahmadabadi

Open access · hybridAbstract read
In one paragraph

Article in World journal of plastic surgery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 66% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

3 authors at 1 institution in 1 country.

Mostafa DahmardeheiPlastic and Reconstructive Surgery, School of Medicine, Iran University of Medical Sciences, Tehran, Iran.
Raheleh Moin AraPlastic and Reconstructive Surgery, School of Medicine, Iran University of Medical Sciences, Tehran, Iran.
Hossein Akbari AhmadabadiPlastic and Reconstructive Surgery, School of Medicine, Iran University of Medical Sciences, Tehran, Iran.
Iran University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Skin graft involves removing a part of the skin and using it in another part of the body. One of the most common reasons for using a graft is burns. We aimed to compare the effect of Colactive plus Ag dressing with Vaseline gauze dressing in donor sites of split-thickness skin grafts of burned patients. Methods: The present study was conducted as a randomized clinical trial (RCT) in the Motahari burn Hospital, Tehran, Iran in 1401. The sampling method was done using Cochran's formula and available patients so 15 people were enrolled. The findings of the study were collected using a researcher-made form. Results: The average duration of recovery, the amount and intensity of pain, and the amount of itching between the two types of Colative plus Ag plus Ag dressing with Vaseline gauze are statistically significant at the 95% confidence level. (P-value<0.05). In addition, the findings showed that the average amount of scar left by the wound in the two types of dressings examined is not statistically significant at the 95% confidence level (P-value > 0.05). Conclusion: The use of Colactive silver dressing has less pain, less itching in the donor area, and a shorter average recovery time than Vaseline gauze. The use of the Colactive plus Ag will be more effective than Vaseline gauze.

Indexed as

Colactive plus AgDonor siteSplit-thickness skin graftVaseline gauze

Identifiers

PMID38226197
PMCPMC10788102
OpenAlexW4390642744

What OpenQuestion holds

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Registered trials

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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.