Evidence map›Paper›PMID 33449302›Full record

ReviewClinical reviews in allergy & immunology2022

Clinical Treatment Options in Scleroderma: Recommendations and Comprehensive Review.

Ming Zhao, Jiali Wu, Haijing Wu, Amr H Sawalha, Qianjin Lu

Abstract readReview
PubMed Publisher
In one paragraph

Review in Clinical reviews in allergy & immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 3 pooled it
9.1field-weighted citation impact, top 1% 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

38 citing papers in PubMed, 3 syntheses or guidelines pooled it, 77 citations in OpenAlex.

  1. Pooled it
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  3. Colchicine for the primary prevention of cardiovascular events.The Cochrane database of systematic reviews · 2025
    Pooled it
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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 3 institutions in 2 countries.

Ming ZhaoDepartment of Dermatology, Hunan Key Laboratory of Medical Epigenomics, The Second Xiangya Hospital of Central South University, Changsha, China.
Jiali WuDepartment of Dermatology, Hunan Key Laboratory of Medical Epigenomics, The Second Xiangya Hospital of Central South University, Changsha, China.
Haijing WuDepartment of Dermatology, Hunan Key Laboratory of Medical Epigenomics, The Second Xiangya Hospital of Central South University, Changsha, China.
Amr H SawalhaDepartments of Pediatrics, Medicine, and Immunology, and Lupus Center of Excellence, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA. ASAWALHA@pitt.edu.
Qianjin LuDepartment of Dermatology, Hunan Key Laboratory of Medical Epigenomics, The Second Xiangya Hospital of Central South University, Changsha, China. qianlu5860@csu.edu.cn.
Second Xiangya Hospital of Central South University · CNChinese Academy of Medical Sciences & Peking Union Medical College · CNUniversity of Pittsburgh · US

Funding

CAMS Innovation Fund for Medical Sciences 2019-I2M-5-033Science and Technology Innovative Research Team in Higher Educational Institutions of Hunan Province (CN) 2019WK2081the Project for leading talents in science and technology in Hunan province 2019RS3003
6 · The paper itself

Abstract

There are two major clinical subsets of scleroderma: (i) systemic sclerosis (SSc) is a complex systemic autoimmune disorder characterized by inflammation, vasculopathy, and excessive fibrosis of the skin and multiple internal organs and (ii) localized scleroderma (LoS), also known as morphea, is confined to the skin and/or subcutaneous tissues resulting in collagen deposition and subsequent fibrosis. SSc is rare but is associated with significant morbidity and mortality compared with other rheumatic diseases. Fatal outcomes in SSc often originate from organ complications of the disease, such as lung fibrosis, pulmonary artery hypertension (PAH), and scleroderma renal crisis (SRC). Current treatment modalities in SSc have focused on targeting vascular damage, fibrosis, and regulation of inflammation as well as autoimmune responses. Some drugs previously used in an attempt to suppress fibrosis, like D-penicillamine (D-Pen) or colchicine, have been disappointing in clinical practice despite anecdotal evidence of their advantages. Some canonical medications, including glucocorticoids, immunosuppressants, and vasodilators, have had some success in treating various manifestations in SSc patients. Increasing evidence suggests that some biologic agents targeting collagen, cytokines, and cell surface molecules might have promising therapeutic effects in SSc. In recent years, hematopoietic stem cell transplantation (HSCT), mostly autologous, has made great progress as a promising treatment option in severe and refractory SSc. Due to the complexity and heterogeneity of SSc, there are currently no optimal treatments for all aspects of the disease. As for LoS, local skin-targeted therapy is generally used, including topical application of glucocorticoids or other immunomodulatory ointments and ultraviolet (UV) irradiation. In addition, systemic immunosuppressants are also utilized in several forms of LoS. Here, we comprehensively discuss current treatment options for scleroderma, encompassing old, new, and future potential treatment options. In addition, we summarize data from new clinical trials that have the potential to modify the disease process and improve long-term outcomes in SSc.

Indexed as

Scleroderma, LocalizedScleroderma, SystemicFibrosisGlucocorticoidsHumansImmunosuppressive AgentsInflammationGlucocorticoidsImmunosuppressive AgentsAHSCTAntifibrotic agentsImmunomodulatorsLocalized sclerodermaSystemic sclerosisVasoactive drugs

Identifiers

PMID33449302
OpenAlexW3125029638

What OpenQuestion holds

Textmetadata
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.