Evidence map›Paper›PMID 39916988›Full record

ArticleInternational journal of women's dermatology2022

Clinical features of mesotherapy-associated non-tuberculous mycobacterial infections: A systematic review.

Melissa E Singsing, Steven G Duncan, M Jonathan Vachon, Heather W Goff

Abstract read
In one paragraph

Article in International journal of women's dermatology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Case Report:Frontiers in immunology · 2025
    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

4 authors.

Melissa E SingsingUniversity of Texas Southwestern Medical School, Dallas, Texas.
Steven G DuncanUniversity of Texas Southwestern Medical School, Dallas, Texas.
M Jonathan VachonUniversity of Texas Southwestern Medical School, Dallas, Texas.
Heather W GoffUniversity of Texas Southwestern Medical School, Dallas, Texas.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cutaneous infections from non-tuberculous mycobacteria (NTM) are a well-documented but poorly characterized adverse event following mesotherapy injections. Objective: This study aims to consolidate the available literature to characterize demographic and clinical features of mesotherapy-associated NTM infections. Methods: Using PRISMA guidelines, a systematic review of PubMed, Scopus, and Embase databases was undertaken for articles reporting cases of NTM skin infections following mesotherapy. Data were analyzed using Microsoft Excel. Results: Of 1966 search results, 30 articles (N = 423 patients) met inclusion criteria. Studies were largely from South America, and patients were mostly women aged 16-55 with NTM infections arising in the abdomen, buttocks, or thighs. Nearly all patients developed multiple, well-localized lesions without systemic symptoms. Effect summary by meta-analysis revealed most infections resolved after antibiotic therapy, though many patients required multiple antibiotic courses and/or agents to resolve infection. Infections often took weeks to resolve and were complicated by post-treatment scarring. Limitations: The main limitation of this study was the heterogeneity and lack of consistency between case reports. Conclusion: Cutaneous NTM infections associated with mesotherapy generally occur in women of childbearing age, arise from injections contaminated by the environment, and are often complicated by scarring/poor cosmesis and prolonged treatment course.

Indexed as

cutaneous infectioninjectionsmesotherapynon-tuberculous mycobacteria

Identifiers

PMID39916988
PMCPMC11801139

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.