Evidence map›Paper›PMID 33673861›Full record

ArticleArthritis research & therapy2021

Emmanuel Ledoult, Maxime Morelle, Michael Soussan, Arsène Mékinian, Hélène Béhal, Vincent Sobanski, Eric Hachulla, Damien Huglo, Noémie Le Gouellec, Martine Remy-Jardin and 2 more

Open access · goldAbstract read
In one paragraph

Article in Arthritis research & therapy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
7.1field-weighted citation impact, top 2% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 51 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. [Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2025
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  5. Molecular Imaging of Pulmonary Fibrosis.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2025
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  6. QuantitativeArthritis research & therapy · 2024
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  7. Article
  8. Review
  9. 2-deoxy-2-[Molecular imaging and biology · 2023
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  10. Quantitative imaging in medicine and surgery · 2023
    Article
  11. Review
  12. Article
  13. Review
  14. Article
  15. PET/CT and inflammatory mediators in systemic sclerosis-associated interstitial lung disease.Jornal brasileiro de pneumologia : publicacao oficial da Sociedade Brasileira de Pneumologia e Tisilogia · 2022
    Article
  16. The lungs were on fire: a pilot study ofArthritis research & therapy · 2021
    Article
  17. 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

12 authors at 5 institutions in 1 country.

Emmanuel Ledoult *Univ. Lille, INFINITE - Institute for Translational Research in Inflammation, F-59000, Lille, France. emmanuel.ledoult@univ-lille.fr.ORCID 0000-0002-3925-9541
Maxime Morelle *CHU Lille, Service de Médecine Nucléaire, F-59000, Lille, France.
Michael SoussanCH Avicenne - APHP, Service de Médecine Nucléaire, F-93000, Bobigny, France.
Arsène MékinianHôpital Saint-Antoine - APHP, Service de Médecine Interne, F-75012, Paris, France.
Hélène BéhalUniv. Lille, CHU Lille, ULR 2694 - METRICS : Évaluation des technologies de santé et des pratiques médicales, F-59000, Lille, France.
Vincent SobanskiUniv. Lille, INFINITE - Institute for Translational Research in Inflammation, F-59000, Lille, France.
Eric HachullaUniv. Lille, INFINITE - Institute for Translational Research in Inflammation, F-59000, Lille, France.
Damien HugloCHU Lille, Service de Médecine Nucléaire, F-59000, Lille, France.
Noémie Le GouellecUniv. Lille, CHU Lille, Service de Médecine Interne, Centre de Référence des Maladies Auto-immunes et Systémiques Rares du Nord et Nord-Ouest de France (CeRAINO), F-59000, Lille, France.
Martine Remy-JardinUniv. Lille, CHU Lille, Service d'imagerie Thoracique, F-59000, Lille, France.
Clio Baillet *CHU Lille, Service de Médecine Nucléaire, F-59000, Lille, France.
David Launay *Univ. Lille, INFINITE - Institute for Translational Research in Inflammation, F-59000, Lille, France.
Inserm · FRUniversité de Lille · FRCentre Hospitalier Universitaire de Lille · FRHôpital Avicenne · FRUniversité Sorbonne Nouvelle · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInterstitial lung disease is a common complication of systemic sclerosis (SSc-ILD), and it remains difficult to accurately predict its course. Progressing ILD could be more metabolically active, suggesting that the

methodsIn our center, SSc patients and controls (non-Hodgkin lymphoma cured after first-line regimen) who had received a PET/CT were screened retrospectively. The FDG uptake (visual intensity, pattern, SUV

resultsAmong the 545 SSc patients followed up in our center, 36, including 22 SSc-ILDs, had a PET/CT, whose indication was cancer screening in most cases. The mean ± SD age was 57.9 ± 13.0 years with 20/36 females. Fourteen patients had a disease duration of less than 2 years. A third had anti-centromere antibodies and 27.8% had anti-topoisomerase antibodies. Pulmonary FDG uptakes were higher in SSc patients than in controls (n = 89), especially in those with ILD compared with those without ILD. Pulmonary FDG uptakes were positively correlated with the ILD severity (fibrosis extent, %FVC, and %D

conclusionPET/CT could be a useful tool in the assessment of the severity and the prediction of pulmonary function outcome of SSc-ILD.

Indexed as

Lung Diseases, InterstitialScleroderma, SystemicAdultAgedFemaleFluorodeoxyglucose F18HumansLungMiddle AgedPilot ProjectsPositron-Emission TomographyPositron Emission Tomography Computed TomographyRetrospective StudiesFluorodeoxyglucose F1818F-FDG PET/CTInterstitial lung diseasePulmonary function testsSystemic sclerosis

Identifiers

PMID33673861
PMCPMC7936499
OpenAlexW3134052785

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.