Evidence map›Paper›PMID 30288558›Full record

ArticleEuropean radiology2019

Rheumatoid pulmonary nodules: clinical and imaging features compared with malignancy.

Matthew Koslow, Jason R Young, Eunhee S Yi, Misbah Baqir, Paul A Decker, Geoffrey B Johnson, Jay H Ryu

Abstract read
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In one paragraph

Article in European radiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

22 citing papers in PubMed, 41 citations in OpenAlex.

  1. Pulmonary Rheumatoid Nodules: A Case Report.Respirology case reports · 2026
    Article
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  13. Thoracic manifestations of rheumatic disease: a radiologist's view.Therapeutic advances in musculoskeletal disease · 2024
    Review
  14. Review
  15. Article
  16. Tomographic pleuropulmonary manifestations in rheumatoid arthritis: a pictorial essay.Jornal brasileiro de pneumologia : publicacao oficial da Sociedade Brasileira de Pneumologia e Tisilogia · 2023
    Article
  17. Article
  18. 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

7 authors at 3 institutions in 1 country.

Matthew KoslowDivision of Pulmonary and Critical Care Medicine, Department of Medicine, Mayo Clinic, Gonda 18 South, 200 First St. SW, Rochester, MN, 55905, USA. mkoslow73@gmail.com.ORCID http://orcid.org/0000-0001-5974-714X
Jason R YoungDivision of Nuclear Medicine, Department of Radiology, Mayo Clinic, Rochester, MN, USA.
Eunhee S YiDivision of Anatomic Pathology, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA.
Misbah BaqirDivision of Pulmonary and Critical Care Medicine, Department of Medicine, Mayo Clinic, Gonda 18 South, 200 First St. SW, Rochester, MN, 55905, USA.
Paul A DeckerDepartment of Health Sciences Research, Mayo Clinic, Rochester, MN, USA.
Geoffrey B JohnsonDivision of Nuclear Medicine, Department of Radiology, Mayo Clinic, Rochester, MN, USA.
Jay H RyuDivision of Pulmonary and Critical Care Medicine, Department of Medicine, Mayo Clinic, Gonda 18 South, 200 First St. SW, Rochester, MN, 55905, USA.
Mayo Clinic · USMayo Clinic in Arizona · USMayo Clinic in Florida · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe objective of this study was to identify clinical and imaging features that distinguish rheumatoid lung nodules from malignancy.

methodsWe conducted a retrospective review of 73 rheumatoid patients with histologically-proven rheumatoid and malignant lung nodules encountered at Mayo Clinic, Rochester, MN (2001-2016). Medical records and imaging were reviewed including a retrospective blinded review of CT and PET/CT studies.

resultsThe study cohort had a mean age of 67 ± 11 years (range 45-86) including 44 (60%) women, 82% with a smoking history, 38% with subcutaneous rheumatoid nodules, and 78% with rheumatoid factor seropositivity. Subjects with rheumatoid lung nodules compared to malignancy were younger (59 ± 12 vs 71 ± 9 years, p < 0.001), more likely to manifest subcutaneous rheumatoid nodules (73% vs 20%, p < 0.001) and rheumatoid factor seropositivity (93% vs 68%, p = 0.034) but a history of smoking was common in both groups (p = 0.36). CT features more commonly associated with rheumatoid lung nodules compared to malignancy included multiplicity, smooth border, cavitation, satellite nodules, pleural contact, and a subpleural rind of soft tissue. Optimal sensitivity (77%) and specificity (92%) (AUC 0.85, CI 0.75-0.94) for rheumatoid lung nodule were obtained with ≥ 3 CT findings (≥ 4 nodules, peripheral location, cavitation, satellite nodules, smooth border, and subpleural rind). Key

conclusionRheumatoid lung nodules have distinct CT and PET/CT features compared to malignancy. Patients with rheumatoid lung nodules are younger and more likely to manifest subcutaneous rheumatoid nodules and seropositivity. KEY POINTS: • Rheumatoid lung nodules have distinct clinical and imaging features compared to lung malignancy. • CT features of rheumatoid lung nodules include multiplicity, cavitation, satellite nodules, smooth border, peripheral location, and subpleural rind. • Key PET/CT features include low-level metabolism and lack of FDG-avid draining lymph nodes.

Indexed as

AgedAged, 80 and overDiagnosis, DifferentialFemaleFluorodeoxyglucose F18HumansKaplan-Meier EstimateLung NeoplasmsMaleMiddle AgedMultiple Pulmonary NodulesPositron Emission Tomography Computed TomographyRadiopharmaceuticalsRetrospective StudiesRheumatoid NoduleSensitivity and SpecificityFluorodeoxyglucose F18RadiopharmaceuticalsMultidetector computed tomographyMultiple pulmonary nodulesPET-CT scanRheumatoid arthritisRheumatoid nodule

Identifiers

PMID30288558
OpenAlexW2894999475

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.