Evidence map›Paper›PMID 39122492›Full record

ReviewDermatology practical & conceptual2024

Therapeutic Promise of Hyaluronidase in Systemic Sclerosis: A Systematic Review.

Anika Pulumati, Rachel Lin, Scott A Elman

Abstract readReview
In one paragraph

Review in Dermatology practical & conceptual, 2024. 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

3 authors.

Anika PulumatiUniversity of Miami Dr. Phillip Frost Department of Dermatology and Cutaneous Surgery, Miami, FL, USA.
Rachel LinUniversity of Miami Dr. Phillip Frost Department of Dermatology and Cutaneous Surgery, Miami, FL, USA.
Scott A ElmanUniversity of Miami Dr. Phillip Frost Department of Dermatology and Cutaneous Surgery, Miami, FL, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionSystemic sclerosis, also known as scleroderma, is a chronic disease marked by autoimmune-mediated damage to connective tissues leading to vascular damage, tissue injury, and fibrosis. Effective treatment for this condition has remained difficult; however, a promising therapeutic option for patients with systemic sclerosis has emerged as hyaluronidase.

objectivesWe conducted a systemic review of the available literature to describe the therapeutic usage of hyaluronidase in systemic sclerosis.

methodsWe conducted a comprehensive review on PubMed and Embase, using the terms: "hyaluronidase" AND "scleroderma," as well as "hyaluronidase" AND "systemic sclerosis." Our criteria for inclusion were English-written articles published between 2013 and 2023. Only studies conducted on human subjects or in vitro on human cell lines were included. We excluded articles that did not discuss therapeutic use as well as articles that focused on medical conditions other than systemic sclerosis.

resultsTen articles were included in our review. Overall, intradermal hyaluronidase showed improvement in systemic sclerosis-associated microstomia via increased oral aperture with minimal side effects. Treatment protocol and outcome measured differed per case, however, multiple rounds of injections were necessary in all treatment courses. In some studies, a plateauing effect for hyaluronidase was seen after 3-5 months of injections.

conclusionsCase studies and case series have demonstrated hyaluronidase effectiveness in treating systemic sclerosis-associated microstomia, however, more research using larger sample sizes, standardized protocols, and specific outcomes such be conducted.

Identifiers

PMID39122492
PMCPMC11314198

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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.