Evidence map›Paper›PMID 37538339›Full record

ArticleSkin health and disease2023

The lupus band test: A review of the sensitivity and specificity in the diagnosis of lupus erythematosus.

Sarah Ní Maolcatha, Ellis Nic Dhonncha, Cathal O'Connor, Sinead Dinneen, Cynthia C B B Heffron

Open access · goldAbstract read
In one paragraph

Article in Skin health and disease, 2023. 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
1.5field-weighted citation impact, top 17% 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, 6 citations in OpenAlex.

  1. Article
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 1 country.

Sarah Ní MaolcathaPathology Cork University Hospital Cork Ireland.ORCID https://orcid.org/0000-0003-1831-4553
Ellis Nic DhonnchaDermatology South Infirmary Victoria University Hospital Cork Ireland.ORCID https://orcid.org/0000-0001-9097-0999
Cathal O'ConnorDermatology South Infirmary Victoria University Hospital Cork Ireland.ORCID https://orcid.org/0000-0001-7084-5293
Sinead DinneenPathology Cork University Hospital Cork Ireland.
Cynthia C B B HeffronPathology Cork University Hospital Cork Ireland.ORCID https://orcid.org/0000-0002-2234-3739
Cork University Hospital · IESouth Infirmary Victoria University Hospital · IEUniversity College Cork · IE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The lupus band test (LBT) is a direct immunofluorescence (DIF) technique which shows a band of localised immunoglobulins at the dermo-epidermal junction in lesional, non-sun-exposed skin of patients with both systemic and cutaneous lupus erythematosus (LE), and in perilesional skin of patients with systemic LE. However, low sensitivity and poor concordance between histological and clinical diagnoses warrant a review of the application of the LBT in the diagnosis of LE. Objectives: To assess the sensitivity and specificity of the LBT in diagnosing LE following clinico-pathological correlation (CPC). Methods: All cases sent to our pathology department between 2011 and 2018 for DIF with a clinical query of LE were reviewed. Data collection included demographic details, pathology requests, histology and DIF reports, clinical reports and diagnoses, and serology. Results: Of 256 histology requests, 9% ( Conclusion: The LBT is not a sensitive diagnostic test for LE, but is highly specific, and should be considered as a supportive diagnostic tool for LE. This is the largest reported case series evaluating the efficacy of the LBT in the diagnosis of LE.

Identifiers

PMID37538339
PMCPMC10395624
OpenAlexW4383888262

What OpenQuestion holds

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LicenceCC BY
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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.