Evidence map›Paper›PMID 36018314›Full record

ArticleLupus2022

Serologic phenotypes distinguish systemic lupus erythematosus patients developing interstitial lung disease and/or myositis.

Thaisa Cotton, Marvin J Fritzler, May Y Choi, Boyang Zheng, Omid Zahedi Niaki, Christian A Pineau, Luck Lukusa, Sasha Bernatsky

Open access · hybridAbstract read
In one paragraph

Article in Lupus, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 23% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. 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

8 authors at 3 institutions in 1 country.

Thaisa CottonDepartment of Medicine, 54473McGill University, Montreal, QC, Canada.
Marvin J FritzlerDepartment of Medicine, Cumming School of Medicine, 70401University of Calgary, Calgary, AB, Canada.ORCID 0000-0003-1652-6608
May Y ChoiDepartment of Medicine, Cumming School of Medicine, 70401University of Calgary, Calgary, AB, Canada.ORCID 0000-0003-3760-2737
Boyang ZhengDepartment of Medicine, 54473McGill University, Montreal, QC, Canada.
Omid Zahedi NiakiDepartment of Medicine, 54473McGill University, Montreal, QC, Canada.
Christian A PineauDepartment of Medicine, 54473McGill University, Montreal, QC, Canada.
Luck LukusaDivision of Rheumatology, 54473McGill University507266Health Centre, Montreal, QC, Canada.
Sasha BernatskyDepartment of Medicine, 54473McGill University, Montreal, QC, Canada.ORCID 0000-0002-9515-2802
McGill University Health Centre · CAMcGill University · CAUniversity of Calgary · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo determine if serologic phenotypes could be identified in systemic lupus erythematosus patients developing interstitial lung disease (ILD) and/or myositis.

methodsAdult SLE patients (without myositis/ILD at baseline) had annual assessments and serum sampling between 2000 and 2017. New-onset ILD was identified using the SDI pulmonary fibrosis item. New-onset myositis was identified using the SLICC Damage Index muscle atrophy/weakness item, the SLEDAI-2K item for myositis, and annual creatinine kinase testing. Chart review confirmed ILD/myositis cases and randomly sampled SLE patients from baseline formed our sub-cohort (N = 72). Cases and sub-cohort were compared regarding myositis-related biomarkers at baseline and at a randomly selected follow-up between baseline and end of observation (date of ILD/myositis diagnosis or Dec. 31, 2017). Descriptive analyses and hazards ratios (HRs) were generated for ILD/myositis incidence, focusing on baseline serology and adjusting for sex, race/ethnicity, age at SLE diagnosis, and SLE duration.

resultsFourteen SLE patients developed ILD (N = 9), myositis (N = 3), and/or both (N = 2). Thirteen of those (92.9%) developing ILD/myositis had at least one biomarker at baseline, versus 47 (65.3%) SLE patients who never developed myositis/ILD. The most common biomarkers in myositis/ILD were KL-6, anti-Ro52, and anti-Ku. Baseline biomarkers tended to remain positive in follow-up. In multivariate Cox regressions, SLE patients had higher risk of developing myositis/ILD with elevated baseline KL-6 (adjusted hazard ratio 3.66; 95% confidence interval 1.01, 13.3). When updating biomarkers over time, we also saw correlations between anti-Smith and ILD/myositis.

conclusionsBaseline myositis-related biomarkers were highly associated with ILD/myositis incidence. This is the first identification of biomarker phenotypes with ILD/myositis risk in SLE.

Indexed as

Lung Diseases, InterstitialLupus Erythematosus, SystemicMyositisBiomarkersCreatinineHumansMuscle WeaknessPhenotypeBiomarkersCreatinineinterstitial lung diseasemyositisSystemic lupus erythematosus

Identifiers

PMID36018314
PMCPMC9580032
OpenAlexW4293168444

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.