Evidence map›Paper›PMID 41347526›Full record

Trial reportJournal of cosmetic dermatology2025

The Therapeutic Effects of a Bentonite-Based Facial Mask With Alcea sulphurea Extract on Acne Severity and Patient Experience: Add-On Randomized Controlled Clinical Trial.

Sara Salimi, Moloud Fakhri, Majid Saeedi, Seyyed Mobin Rahimnia, Armaghan Kazeminejad, Mahmood Moosazadeh, Emran Habibi, Assie Jokar

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of cosmetic dermatology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Trial
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

8 authors.

Sara SalimiStudent Research Committee, Mazandaran University of Medical Sciences, Sari, Iran.
Moloud FakhriTraditional and Complementary Medicine Research Center, Addiction Institute, Mazandaran University of Medical Sciences, Sari, Iran.
Majid SaeediDepartment of Pharmaceutics, Faculty of Pharmacy, Mazandaran University of Medical Sciences, Sari, Iran.ORCID https://orcid.org/0000-0003-2617-9961
Seyyed Mobin RahimniaDepartment of Pharmaceutics, Faculty of Pharmacy, Mazandaran University of Medical Sciences, Sari, Iran.ORCID https://orcid.org/0000-0003-1499-7668
Armaghan KazeminejadDepartment of Dermatology, Faculty of Medicine, Mazandaran University of Medical Sciences, Sari, Iran.ORCID https://orcid.org/0000-0002-3870-0382
Mahmood MoosazadehGastrointestinal Cancer Research Center, Non-Communicable Disease Institute, Mazandaran University of Medical Sciences, Sari, Iran.ORCID https://orcid.org/0000-0002-5452-514X
Emran HabibiMedicinal Plants Research Centre, Institute of Herbal Medicines and Metabolic Disorders, Mazandaran University of Medical Sciences, Sari, Iran.ORCID https://orcid.org/0000-0002-7367-1484
Assie JokarTraditional and Complementary Medicine Research Center, Addiction Institute, Mazandaran University of Medical Sciences, Sari, Iran.ORCID https://orcid.org/0000-0002-0843-5151

Funding

Mazandaran University of Medical Sciences
6 · The paper itself

Abstract

backgroundAcne vulgaris adversely impacts quality of life, requiring safer alternatives to conventional treatments. This study explores a facial mask combining Bentonite's detoxifying and Alcea sulphurea's anti-inflammatory properties, rooted in Traditional Persian Medicine (TPM). It aims to evaluate its efficacy in reducing acne severity and enhancing patient satisfaction, integrating traditional and modern therapeutic approaches.

methodsThis add-on randomized, controlled clinical trial included 60 patients with moderate acne, recruited through purposive sampling in Sari from October 2022 to November 2023. Participants were randomly allocated into intervention (Bentonite-Alcea mask + Azithromycin 250 mg) and placebo (placebo + Azithromycin 250 mg). Outcomes, including lesion count, acne severity, and satisfaction, were assessed at baseline, 4 weeks, and 8 weeks. Data analysis was conducted using SPSS version 16.

resultsSixty people completed the study (30 persons in both group). The mean and standard deviation of the age in control group was 24 ± 8.03 years and in placebo group was 19.03 ± 7.03 and 46 subjects (76.7%) were female. TLC and ASI in the fourth and eighth weeks in control group were significantly less than in placebo group (p < 0.001). The percentage of relatively satisfied and very satisfied participants in the intervention group was significantly higher than the control group (p < 0.001). Bentonite-based facial mask with Alcea sulphurea extract had no serious side effects. The intervention group exhibited significant reductions in TLC (total lesion count) (55.45% ± 21.74%) and ASI (Acne Severity Index) (66.33% ± 27.15%) from baseline to 8 weeks (p < 0.001), outperforming the placebo group. Patient satisfaction was notably higher in the intervention group, with 43.3% being very satisfied compared to 3.3% in the placebo group (p < 0.001).

conclusionA facial mask based on Bentonite and A. sulphurea extract effectively reduces acne severity and enhances patient satisfaction. These findings suggest its potential as a natural alternative or adjunct to conventional acne treatments.

trial registrationIranian registry: IRCT20220403054395N1.

Indexed as

Acne VulgarisBentoniteMasksPlant ExtractsAdolescentAdultAnti-Bacterial AgentsAzithromycinDouble-Blind MethodFemaleHumansMalePatient SatisfactionQuality of LifeSeverity of Illness IndexTreatment OutcomeAnti-Bacterial AgentsAzithromycinBentonitePlant Extractsacne vulgarisadd‐on randomized controlled clinical trialAlcea sulphurea extractbentonitetraditional Persian medicine

Identifiers

PMID41347526
PMCPMC12679517

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.