Evidence map›Paper›PMID 22978780›Full record

ArticleBMC pulmonary medicine2012

A predictive tool for an effective use of (18)F-FDG PET in assessing activity of sarcoidosis.

Rémy L M Mostard, Sander M J Van Kuijk, Johny A Verschakelen, Marinus J P G van Kroonenburgh, Patty J Nelemans, Petal A H M Wijnen, Marjolein Drent

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in BMC pulmonary medicine, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.0field-weighted citation impact, top 9% 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

15 citing papers in PubMed, 43 citations in OpenAlex.

  1. Use of 18F-FDG PET in assessing response to treatment in adults with pulmonary sarcoidosis: A systematic literature review.Sarcoidosis, vasculitis, and diffuse lung diseases : official journal of WASOG · 2025
    Article
  2. Review
  3. Article
  4. Challenges in Cardiac and Pulmonary Sarcoidosis: JACC State-of-the-Art Review.Journal of the American College of Cardiology · 2020
    Review
  5. Review
  6. Article
  7. Volumetric FDG PET analysis of global lung inflammation: new tool for precision medicine in pulmonary sarcoidosis?Sarcoidosis, vasculitis, and diffuse lung diseases : official journal of WASOG · 2018
    Article
  8. The Utility ofBioMed research international · 2018
    Article
  9. Article
  10. Biological role of the soluble interleukin-2 receptor in sarcoidosis.Sarcoidosis, vasculitis, and diffuse lung diseases : official journal of WASOG · 2017
    Article
  11. Management of sarcoidosis in clinical practice.European respiratory review : an official journal of the European Respiratory Society · 2016
    Review
  12. Article
  13. Article
  14. Diagnosis of Sarcoidosis.Clinical reviews in allergy & immunology · 2015
    Review
  15. Treatment of Sarcoidosis.Clinical reviews in allergy & immunology · 2015
    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

7 authors at 5 institutions in 2 countries.

Rémy L M MostardDepartment of Respiratory Medicine, Atrium Medical Centre, Heerlen, The Netherlands.
Sander M J Van Kuijk
Johny A Verschakelen
Marinus J P G van Kroonenburgh
Patty J Nelemans
Petal A H M Wijnen
Marjolein Drent
Maastricht University · NLMaastricht University Medical Centre · NLAtrium Medisch Centrum Parkstad · NLKU Leuven · BEZiekenhuis Gelderse Vallei · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background(18)F-FDG PET/CT (PET) is useful in assessing inflammatory activity in sarcoidosis. However, no appropriate indications are available. The aim of this study was to develop a prediction rule that can be used to identify symptomatic sarcoidosis patients who have a high probability of PET-positivity.

methodsWe retrospectively analyzed a cohort of sarcoidosis patients with non organ specific persistent disabling symptoms (n = 95). Results of soluble interleukin-2 receptor (sIL-2R) assessment and high-resolution computed tomography (HRCT) were included in the predefined model. HRCT scans were classified using a semi-quantitative scoring system and PET findings as positive or negative, respectively. A prediction model was derived based on logistic regression analysis. We quantified the model's performance using measures of discrimination and calibration. Finally, we constructed a prediction rule that should be easily applicable in clinical practice.

resultsThe prediction rule showed good calibration and good overall performance (goodness-of-fit test, p = 0.78, Brier score 20.1%) and discriminated between patients with positive and negative PET findings (area under the receiver-operating characteristic curve, 0.83). If a positive predictive value for the presence of inflammatory activity of ≥90% is considered acceptable for clinical decision-making without referral to PET, PET would be indicated in only 29.5% of the patients. Using a positive predictive value of 98%, about half of the patients (46.3%) would require referral to PET.

conclusionsThe derived and internally validated clinical prediction rule, based on sIL-2R levels and HRCT scoring results, appeared to be useful to identify sarcoidosis patients with a high probability of inflammatory activity. Using this rule may enable a more effective use of PET scan for assessment of inflammatory activity in sarcoidosis.

Indexed as

Fluorodeoxyglucose F18Severity of Illness IndexAdultAgedCohort StudiesFemaleHumansLogistic ModelsMaleMiddle AgedPositron-Emission TomographyPredictive Value of TestsReceptors, Interleukin-2Retrospective StudiesSarcoidosis, PulmonaryTomography, X-Ray ComputedFluorodeoxyglucose F18Receptors, Interleukin-2

Identifiers

PMID22978780
PMCPMC3509391
OpenAlexW2050481576

What OpenQuestion holds

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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.