Evidence map›Paper›PMID 41262282›Full record

ArticleIndian journal of dermatology

A Cross-sectional Study Comparing the

Deepika Pandhi, Vishal Gaurav, Gouri Renuka Pushpanandan Anand, Shukla Das, Amir Maroof Khan

Abstract read
In one paragraph

Article in Indian journal of dermatology. 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
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.

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

5 authors.

Deepika PandhiFrom the Department of Dermatology and STD, University College of Medical Sciences, Guru Teg Bahadur Hospital, New Delhi, India.
Vishal GauravDepartment of Dermatology and Venereology, Maulana Azad Medical College, New Delhi, India.
Gouri Renuka Pushpanandan AnandDepartment of Dermatology and Venereology, All India Institute of Medical Sciences, New Delhi, India.
Shukla DasDepartment of Microbiology, University College of Medical Sciences, Guru Teg Bahadur Hospital, New Delhi, India.
Amir Maroof KhanDepartment of Community Medicine, University College of Medical Sciences, Guru Teg Bahadur Hospital, New Delhi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: In India, Objective: This study aimed to evaluate biofilm formation in dermatophyte isolates and explore its correlation with demographic factors, disease duration, steroid misuse, and antifungal resistance to facilitate future management strategies. Materials and Methods: A total of 65 patients with clinically diagnosed dermatophytosis were included in this tertiary care center-based study. Detailed clinical histories were documented, and biofilm formation was quantified using crystal violet staining. Antifungal susceptibility testing was performed according to CLSI M38-A2 guidelines. Clinical improvement was assessed using the Clinical Assessment Severity Score, and statistical analysis was performed to explore associations between biofilm formation, clinical response, and antifungal resistance. Results: Conclusion: Our findings underscore the role of biofilm formation in contributing to chronic and recurrent dermatophytosis, particularly in patients with a history of oral antifungal use. Biofilm density correlates significantly with antifungal resistance, which may hinder clinical outcomes. These results highlight the need for tailored treatment strategies targeting biofilm-associated resistance to improve the management of chronic dermatophytosis.

Indexed as

Antifungal resistancebiofilmdermatophytosissteroid misusetreatment failureTrichophyton mentagrophytes

Identifiers

PMID41262282
PMCPMC12626365

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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.