Evidence map›Paper›PMID 38479828›Full record

ArticleBMJ case reports2024

Unusual overlap of systemic sclerosis with Takayasu arteritis.

Anoop Chithrabhanu, Arul Rajamurugan Ponniah Subramanian, Ramesh Ramamoorthy, Mythili Seetharaman Varadhan

Open access · bronzeAbstract readCase Reports
In one paragraph

Article in BMJ case reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 41% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Review
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 at 1 institution in 2 countries.

Anoop ChithrabhanuInstitute of Rheumatology, Madras Medical College, Chennai, Tamil Nadu, India anooppaloor@gmail.com arulrajamurugan@gmail.com.ORCID http://orcid.org/0009-0002-1004-2282
Arul Rajamurugan Ponniah SubramanianInstitute of Rheumatology, Madras Medical College, Chennai, Tamil Nadu, India anooppaloor@gmail.com arulrajamurugan@gmail.com.
Ramesh RamamoorthyInstitute of Rheumatology, Madras Medical College, Chennai, Tamil Nadu, India.
Mythili Seetharaman VaradhanInstitute of Rheumatology, Madras Medical College, Chennai, Tamil Nadu, India.
Madras Medical College · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Overlap syndromes are diseases that meet the criteria of two or more rheumatic diseases. In this case report, a woman in her 20s presented with a constellation of symptoms, including skin thickening, Raynaud's phenomenon, hypertension, absent pulse in both lower limbs with bilateral renal artery bruit. The antinuclear antibody profile revealed Scl-70 positivity. CT thorax identified early interstitial lung disease, and nailfold capillaroscopy showed severe capillary loss. CT angiogram features were suggestive of Takayasu arteritis. Notably, there have been only four documented cases of systemic sclerosis coexisting with Takayasu arteritis, highlighting the rarity of this overlap syndrome. The diagnosis of overlap syndrome was made after a thorough history recording and clinical examination. In the presence of bilateral renal artery stenosis, managing the scleroderma renal crisis may be challenging . This patient received treatment with mycophenolate mofetil and oral corticosteroids, aiming to address both systemic sclerosis and Takayasu arteritis effectively.

Indexed as

Autoimmune DiseasesConnective Tissue DiseasesLung Diseases, InterstitialScleroderma, LocalizedScleroderma, SystemicTakayasu ArteritisFemaleHumansConnective tissue diseaseHypertensionVasculitis

Identifiers

PMID38479828
PMCPMC10941143
OpenAlexW4392746850

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.