Evidence map›Paper›PMID 36809556›Full record

ArticleRheumatology international2023

Performance of cut-offs adjusted with positive control band intensity in line-blot assays for myositis-specific antibodies.

Sung Hae Chang, Se Rim Choi, Yong Seok Choi, Dong Jin Go, Jun Won Park, You-Jung Ha, Jin Kyun Park, Eun Ha Kang, Eun Young Lee, Kichul Shin and 3 more

Abstract read
PubMed Publisher
In one paragraph

Article in Rheumatology international, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 36% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 2 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. 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

13 authors at 5 institutions in 2 countries.

Sung Hae Chang *Department of Internal Medicine, Soonchunhyang University College of Medicine, Cheonan, 31151, South Korea.ORCID 0000-0002-7980-7194
Se Rim Choi *Division of Rheumatology, Department of Internal Medicine, Seoul National University Bundang Hospital, 82 Gumi-ro, 173 Beongil, Bundang-gu, Seongnam-si, Gyeonggi-do, 13620, South Korea.ORCID 0000-0002-4625-8571
Yong Seok ChoiDivision of Rheumatology, Department of Internal Medicine, Seoul National University Bundang Hospital, 82 Gumi-ro, 173 Beongil, Bundang-gu, Seongnam-si, Gyeonggi-do, 13620, South Korea.ORCID 0000-0001-6664-0025
Dong Jin GoDivision of Rheumatology, Department of Internal Medicine, Hallym University Kangnam Sacred Heart Hospital, Hallym University College of Medicine, Seoul, 07440, South Korea.ORCID 0000-0001-7350-3491
Jun Won ParkDepartment of Internal Medicine, Seoul National University Hospital, Seoul, 03080, South Korea.ORCID 0000-0002-8624-2582
You-Jung HaDivision of Rheumatology, Department of Internal Medicine, Seoul National University Bundang Hospital, 82 Gumi-ro, 173 Beongil, Bundang-gu, Seongnam-si, Gyeonggi-do, 13620, South Korea.ORCID 0000-0001-6107-9523
Jin Kyun ParkDepartment of Internal Medicine, Seoul National University Hospital, Seoul, 03080, South Korea.ORCID 0000-0003-2167-9393
Eun Ha KangDivision of Rheumatology, Department of Internal Medicine, Seoul National University Bundang Hospital, 82 Gumi-ro, 173 Beongil, Bundang-gu, Seongnam-si, Gyeonggi-do, 13620, South Korea.ORCID 0000-0001-9697-1159
Eun Young LeeDepartment of Internal Medicine, Seoul National University Hospital, Seoul, 03080, South Korea.ORCID 0000-0001-6975-8627
Kichul ShinDivision of Rheumatology, Seoul Metropolitan Government-Seoul National University Boramae Medical Centre, Seoul, 07061, South Korea.ORCID 0000-0002-6749-7598
Eun Bong LeeDepartment of Internal Medicine, Seoul National University Hospital, Seoul, 03080, South Korea.ORCID 0000-0003-0703-1208
Yeong Wook SongDepartment of Internal Medicine, Seoul National University Hospital, Seoul, 03080, South Korea.ORCID 0000-0002-5384-3437
Yun Jong LeeDivision of Rheumatology, Department of Internal Medicine, Seoul National University Bundang Hospital, 82 Gumi-ro, 173 Beongil, Bundang-gu, Seongnam-si, Gyeonggi-do, 13620, South Korea. yn35@snu.ac.kr.ORCID 0000-0001-7615-8611
Seoul National University Bundang Hospital · KRSeoul National University Hospital · KRSeoul National University · KRHallym University Kangnam Sacred Heart Hospital · KRSoonchunhyang University · KR

Funding

College of Medicine, Seoul National University 800-20210279Ministry of Science, ICT and Future Planning NRF-2020M3E5E2037430Ministry of Science, ICT and Future Planning NRF-2022R1A2C2091831
6 · The paper itself

Abstract

The diagnostic performance of band intensity (BI) cut-offs, adjusted by a positive control band (PCB) in a line-blot assay (LBA) for myositis-related autoantibodies (MRAs) is investigated. Sera from 153 idiopathic inflammatory myositis (IIM) patients with available immunoprecipitation assay (IPA) data and 79 healthy controls were tested using the EUROLINE panel. Strips were evaluated for BI using the EUROLineScan software, and the coefficient of variation (CV) was calculated. Sensitivity and specificity, area under the curve (AUC), and the Youden's index (YI) were estimated at non-adjusted or PCB-adjusted cut-off values. Kappa statistics were calculated for IPA and LBA. Although inter-assay CV for PCB BI was 3.9%, CV was 12.9% in all samples, and a significant correlation was found between BIs of PCB and seven MRAs (all P < 0.05). At adjusted BI (aBI) > 10, the negative conversion rate of myositis-specific autoantibody (MSA)-positivity at BI > 10 was 11.5% in controls and 1.3% in patients. The specificity, AUC, and YI for MSAs at aBI > 10 or > 20 were higher than those at non-adjusted cut-off values. Additionally, AUC (0.720), YI (0.440), and the prevalence of MRAs with kappa > 0.60 (58.3%) were the highest at aBI > 20. The overall sensitivity and specificity for MSAs were 50.3% and 93.7% at aBI > 20, respectively, and 59.5% and 65.8% with BI > 10, respectively. The diagnostic performance of LBA can be improved using PCB-adjusted BIs. aBI > 20 is the optimal cut-off for IIM diagnosis using the EUROLINE LBA panel.

Indexed as

MyositisAutoantibodiesHumansSensitivity and SpecificityAutoantibodiesDiagnostic performanceIdiopathic inflammatory myositisLine blot assayMyositis-specific autoantibody

Identifiers

PMID36809556
OpenAlexW4321436209

What OpenQuestion holds

Textmetadata
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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.