Evidence map›Paper›PMID 26955094›Full record

ArticleIndian journal of dermatology

Cross-sectional Pilot Study of Antibiotic Resistance in Propionibacterium Acnes Strains in Indian Acne Patients Using 16S-RNA Polymerase Chain Reaction: A Comparison Among Treatment Modalities Including Antibiotics, Benzoyl Peroxide, and Isotretinoin.

Kabir Sardana, Tanvi Gupta, Bipul Kumar, Hemant K Gautam, Vijay K Garg

Open access · diamondAbstract 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. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
6.4field-weighted citation impact, top 4% 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

20 citing papers in PubMed, 48 citations in OpenAlex.

  1. Phage-Derived Endolysins TargetingAntibiotics (Basel, Switzerland) · 2026
    Review
  2. Emerging antimicrobial resistance amongJournal of family medicine and primary care · 2026
    Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Nano-Therapeutics to Treat Acne Vulgaris.Indian journal of microbiology · 2022
    Review
  8. Article
  9. Review
  10. Oral Antibiotics for Acne.American journal of clinical dermatology · 2021
    Review
  11. Article
  12. Article
  13. The Skin Microbiome: A New Actor in Inflammatory Acne.American journal of clinical dermatology · 2020
    Review
  14. Review
  15. Acne, the Skin Microbiome, and Antibiotic Treatment.American journal of clinical dermatology · 2019
    Review
  16. Review
  17. Review
  18. Article
  19. Correlation between Antimicrobial ResistantIndian journal of dermatology
    Article
  20. Indian journal of dermatology
    Article
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 at 2 institutions in 1 country.

Kabir SardanaDepartment of Dermatology, Maulana Azad Medical College and Lok Nayak Hospital, New Delhi - 110 025, India.
Tanvi GuptaDepartment of Dermatology, Maulana Azad Medical College and Lok Nayak Hospital, New Delhi - 110 025, India.
Bipul KumarCSIR-Institute of Genomics and Integrative Biology, Department of Microbial Biotechnology, Sukhdev Vihar, Mathura Road, New Delhi - 110 025, India.
Hemant K GautamCSIR-Institute of Genomics and Integrative Biology, Department of Microbial Biotechnology, Sukhdev Vihar, Mathura Road, New Delhi - 110 025, India.
Vijay K GargDepartment of Dermatology, Maulana Azad Medical College and Lok Nayak Hospital, New Delhi - 110 025, India.
Maulana Azad Medical College · INInstitute of Genomics and Integrative Biology · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAntibiotic resistance is a worldwide problem in acne patients due to regional prescription practices, patient compliance, and genomic variability in Propionibacterium acnes, though the effect of treatment on the resistance has not been comprehensively analyzed.

aimsOur primary objective was to assess the level of antibiotic resistance in the Indian patients and to assess whether there was a difference in the resistance across common treatment groups. SUBJECTS AND

methodsA cross-sectional, institutional based study was undertaken and three groups of patients were analyzed, treatment naïve, those on antibiotics and patients on benzoyl peroxide (BPO) and/isotretinoin. The follicular content was sampled and the culture was verified with 16S rRNA polymerase chain reaction, genomic sequencing, and pulsed-field gel electrophoresis. Minimum inhibitory concentration (MIC) assessment was done for erythromycin (ERY), azithromycin (AZI), clindamycin (CL), tetracycline (TET), doxycycline (DOX), minocycline (MINO), and levofloxacin (LEVO). The four groups of patients were compared for any difference in the resistant strains.

resultsOf the 52 P. acnes strains isolated (80 patients), high resistance was observed to AZI (100%), ERY (98%), CL (90.4%), DOX (44.2%), and TETs (30.8%). Low resistance was observed to MINO (1.9%) and LEVO (9.6%). Statistical difference was seen in the resistance between CL and TETs; DOX/LEVO and DOX/MINO (P < 0.001). High MIC90 (≥256 μg/ml) was seen with CL, macrolides, and TETs; moreover, low MIC90 was observed to DOX (16 μg/ml), MINO (8 μg/ml), and LEVO (4 μg/ml). Though the treatment group with isotretinoin/BPO had the least number of resistant strains there was no statistical difference in the antibiotic resistance among the various groups of patients.

conclusionsHigh resistance was seen among the P. acnes strains to macrolides-lincosamides (AZI and CL) while MINO and LEVO resistance was low.

Indexed as

Acneantibioticsazithromycinbenzoyl peroxideclindamycinlevofloxacinminocyclineresistance

Identifiers

PMID26955094
PMCPMC4763694
OpenAlexW2281335393

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
Read underepoch 390

Registered trials

None linked

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.