Evidence map›Paper›PMID 38690015›Full record

ArticleAesthetic surgery journal. Open forum2024

Oral Methotrexate Treatment of Delayed-Onset Inflammatory Reactions to Dermal Fillers.

Marina Landau, Fernando Silikovich, Monika Fida, Hugues Cartier, George Kroumpouzos

Open access · goldAbstract readCase Reports
In one paragraph

Article in Aesthetic surgery journal. Open forum, 2024. 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
4.3field-weighted citation impact, top 6% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

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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 2 countries.

Marina Landau
Fernando Silikovich
Monika Fida
Hugues Cartier
South Shore Hospital · USUniversity of Medicine Tirana · AL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: In aesthetic practice, delayed-onset (late) inflammatory reactions (DIRs) to dermal fillers are encountered. The treatment of DIRs can be challenging, with a response to established therapies, including oral antibiotics, intralesional and oral steroids, and hyaluronidase injection, occasionally reported as unsatisfactory. Objectives: Evaluate the efficacy of low-dose oral methotrexate (MTX) therapy in treating recalcitrant DIRs. Methods: We retrospectively reviewed cases of recalcitrant DIRs treated with oral MTX. Data collected included individuals' gender and age, medical history, filler type, facial area(s) injected, previous treatments attempted to dissolve the DIR, MTX treatment dosage and duration, and outcome. Adverse events were monitored throughout the treatment. Results: Thirteen females with a mean age of 52.6 years (range, 31-67 years) who developed recalcitrant DIRs to dermal filler injection are included. Eight reactions were triggered by the injection of hyaluronic acid (HA) fillers, 4 by liquid injectable silicone (LIS), and 1 by polymethylmethacrylate (PMMA). The average starting dosage of MTX was 12.1 mg/week (range, 7.5-12.5 mg/week). Patients were treated for 2 to 3 months in most cases. The average follow-up post-MTX therapy was 11.8 months (range, 2-36 months). A complete response to MTX treatment was observed in 10 patients (6 HA and 4 LIS cases), partial response in 1 (HA case), and an unsatisfactory response in 2 (HA and PMMA cases). Treatment was well tolerated. Conclusions: A short course of low-dose oral MTX is a possible treatment for DIRs that have not responded to established therapies. The promising results of this report require validation by powered studies. Level of Evidence 4:

Identifiers

PMID38690015
PMCPMC11060488
OpenAlexW4391952094

What OpenQuestion holds

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LicenceCC BY-NC
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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.