Evidence map›Paper›PMID 35753143›Full record

ArticleSeminars in arthritis and rheumatism2022

False positive anti-Topoisomerase I (Scl-70) antibody results in clinical practice: A case series from a scleroderma referral center.

Brian H Lam, Shervin Assassi, Julio Charles, Rana Taherian, Marka A Lyons, Bochra Jandali, Maureen D Mayes, Brian Skaug

Open access · greenAbstract read
In one paragraph

Article in Seminars in arthritis and rheumatism, 2022. 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
0.9field-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

1 citing paper in PubMed, 6 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Brian H LamDivision of Rheumatology, University of Texas Health Science Center at Houston, McGovern Medical School, 6431 Fannin St., MSB 5.266, Houston, TX 77030, United States.
Shervin AssassiDivision of Rheumatology, University of Texas Health Science Center at Houston, McGovern Medical School, 6431 Fannin St., MSB 5.266, Houston, TX 77030, United States.
Julio CharlesDivision of Rheumatology, University of Texas Health Science Center at Houston, McGovern Medical School, 6431 Fannin St., MSB 5.266, Houston, TX 77030, United States.
Rana TaherianDivision of Rheumatology, University of Texas Health Science Center at Houston, McGovern Medical School, 6431 Fannin St., MSB 5.266, Houston, TX 77030, United States.
Marka A LyonsDivision of Rheumatology, University of Texas Health Science Center at Houston, McGovern Medical School, 6431 Fannin St., MSB 5.266, Houston, TX 77030, United States.
Bochra JandaliDivision of Rheumatology, University of Texas Health Science Center at Houston, McGovern Medical School, 6431 Fannin St., MSB 5.266, Houston, TX 77030, United States.
Maureen D MayesDivision of Rheumatology, University of Texas Health Science Center at Houston, McGovern Medical School, 6431 Fannin St., MSB 5.266, Houston, TX 77030, United States.
Brian SkaugDivision of Rheumatology, University of Texas Health Science Center at Houston, McGovern Medical School, 6431 Fannin St., MSB 5.266, Houston, TX 77030, United States. Electronic address: brian.a.skaug@uth.tmc.edu.
The University of Texas Health Science Center at Houston · USThe University of Texas Health Science Center · US

Funding

CFlm25 mediated alternative polyadenylation regulates fibrosis in systemic sclerosisR01AR073284 · NIAMS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI ASSASSI, SHERVIN, MILLS, TINGTING WENG · 2019 to 2023
$1.7M
NIAMS NIH HHS R01 AR073284
6 · The paper itself

Abstract

purposeTo determine if some patients who tested positive for anti-Scl-70 antibody in clinical practice, but did not have classifiable systemic sclerosis, were negative for anti-Scl-70 antibody by the more specific immunodiffusion method of testing.

methodsPatients evaluated by a rheumatologist at a Scleroderma referral center who had tested positive for anti-Scl-70 antibody prior to referral, but did not have classifiable SSc based on clinical criteria, were invited to undergo testing for anti-Scl-70 antibody by immunodiffusion. Patient demographics and clinical features were recorded at the time of their evaluation, and diagnostic testing results were reviewed using the medical records.

results52 patients were enrolled over an 8-year period, with 48 (92.3%) testing negative and 4 (7.7%) testing positive for anti-Scl-70 antibody by immunodiffusion. Of the 48 patients who tested negative, 18 (37.5%) tested negative for ANA by indirect immunofluorescence, 33 (68.8%) did not have Raynaud's phenomenon, and 43 (89.6%) had ≤1 clinical criteria items based on the 2013 ACR/EULAR SSc classification criteria. Nevertheless, 21 (43.8%) patients who were negative for anti-Scl-70 antibody by immunodiffusion had undergone a chest CT and 14 (29.2%) had undergone an echocardiogram. A total of 23 patients had at least one follow up clinic visit. 3 out of 4 patients who were positive for anti-Scl-70 antibody by immunodiffusion, but none of the 19 patients who tested negative by immunodiffusion, developed sufficient criteria during follow up to be classified as SSc.

conclusionAssays for anti-Scl-70 antibody in commercial laboratories that are commonly utilized in clinical practice can produce false positive results. These results can lead to angst for patients, as well as unnecessary referrals and diagnostic evaluations.

Indexed as

Raynaud DiseaseScleroderma, LocalizedScleroderma, SystemicAntibodies, AntinuclearAutoantibodiesHumansReferral and ConsultationAntibodies, Antinuclearanti-scl-70 autoantibodiesAutoantibodiesANAImmunodiffusionScl-70 antibodySclerodermaSystemic sclerosisTopoisomerase I antibody

Identifiers

PMID35753143
PMCPMC10061056
OpenAlexW4283068547

What OpenQuestion holds

Textmetadata
LicenceTDM
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.