Evidence map›Paper›PMID 32332045›Full record

ArticleBMJ case reports2020

Ovoid palatal patch: a clue to anti-TIF1γ dermatomyositis.

Ellen Franciosi, Kaitlin Blankenship, Laura Houk, Mehdi Rashighi

Open access · greenAbstract readCase Reports
In one paragraph

Article in BMJ case reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 28% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
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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

4 authors at 2 institutions in 1 country.

Ellen FranciosiDermatology, University of Massachusetts Medical School, Worcester, Massachusetts, USA.
Kaitlin BlankenshipDermatology, University of Massachusetts Medical School, Worcester, Massachusetts, USA.
Laura HoukDermatology, University of Massachusetts Medical School, Worcester, Massachusetts, USA.
Mehdi RashighiDermatology, University of Massachusetts Medical School, Worcester, Massachusetts, USA Mehdi.Rashighi@umassmed.edu.
University of Massachusetts Chan Medical School · USTissue Gene (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An 80-year-old woman presented with a several-year history of progressive hair loss and scalp pruritus. No other rashes or muscle weakness were noted on examination. Scalp biopsy showed interface dermatitis, dense perivascular and periadnexal lymphocytic infiltrate, mucin and scarring alopecia. Laboratory analysis did not show evidence of myositis. The patient was started on hydroxychloroquine for possible cutaneous lupus erythematosus. On follow-up, she presented with a new violaceous rash on the superior eyelids and a well-defined oval patch on the mid-hard palate suspicious for dermatomyositis. Myositis-specific autoantibodies revealed presence of anti-transcriptional intermediary factor-1γ (anti-TIF1γ) in the serum. Anti-TIF1γ autoantibody-positive dermatomyositis is a newly recognised subtype of dermatomyositis that is highly associated with amyopathic disease and has an increased risk of malignancy, making prompt diagnosis crucial. This case highlights the utility of a thorough oral exam in patients suspected to have connective tissue disease as the distinctive ovoid palatal patch is nearly pathognomonic for anti-TIF1γ dermatomyositis.

Indexed as

Aged, 80 and overAutoantibodiesDermatologic AgentsDermatomyositisDiagnosis, DifferentialErythemaExanthemaFemaleHumansMethotrexatePalate, HardTranscription FactorsAutoantibodiesDermatologic AgentsMethotrexateTranscription FactorsTRIM33 protein, humanconnective tissue diseasedermatology

Identifiers

PMID32332045
PMCPMC7202738
OpenAlexW3019420003

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.