Evidence map›Paper›PMID 23262919›Full record

ArticleInflammation research : official journal of the European Histamine Research Society ... [et al.]2013

Use of discriminant analysis in assessing pulmonary function worsening in patients with sarcoidosis by a panel of inflammatory biomarkers.

Gregorino Paone, Alvaro Leone, Sandro Batzella, Vittoria Conti, Francesco Belli, Laura De Marchis, Alice Mannocci, Giovanni Schmid, Claudio Terzano

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Inflammation research : official journal of the European Histamine Research Society ... [et al.], 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.3field-weighted citation impact, top 37% 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

7 citing papers in PubMed, 21 citations in OpenAlex.

  1. Review
  2. Increased proportions of circulating PD-1Respiratory research · 2024
    Article
  3. Review
  4. Article
  5. Article
  6. A Circulating MicroRNA Signature Serves as a Diagnostic and Prognostic Indicator in Sarcoidosis.American journal of respiratory cell and molecular biology · 2018
    Article
  7. Sarcoidosis: Immunopathogenesis and Immunological Markers.International journal of chronic diseases · 2013
    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

9 authors at 3 institutions in 2 countries.

Gregorino PaoneDepartment of Cardiovascular, Respiratory, Nephrologic and Geriatric Sciences, 'Sapienza' University of Rome, S. Camillo-Forlanini Hospital, Via Portuense 332, 00149 Rome, Italy. rpaone1023@yahoo.com
Alvaro Leone
Sandro Batzella
Vittoria Conti
Francesco Belli
Laura De Marchis
Alice Mannocci
Giovanni Schmid
Claudio Terzano
Carlo Forlanini Hospital · ITSapienza University of Rome · ITDon Carlo Gnocchi Foundation · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

OBJECTIVES AND

designTo date, no sufficiently sensitive and specific single marker has been found to predict the clinical course of sarcoidosis. We designed a cohort study to investigate whether a panel of biomarkers measured in bronchoalveolar lavage (BAL) and peripheral blood could help predict pulmonary function worsening during the clinical course of sarcoidosis.

methodsWe analyzed 30 individuals with histologically proven sarcoidosis. At baseline, participants underwent pulmonary function tests (PFTs), fiberoptic bronchoscopy and radiological investigations. BAL and blood cellular profiles were obtained from all individuals and six pro-inflammatory molecules were quantified in BAL and serum. PFTs were performed at follow-up visits over a 2-year period. Using discriminant function analysis, a canonical variable was generated to optimize the accuracy of selected variables in predicting pulmonary function worsening and was validated on a subset of nine consecutive individuals with sarcoidosis.

resultsA combination of 6 markers from BAL was able to predict pulmonary function worsening in 96 % of patients [95 % confidence interval (CI) 84.4-99.81]. We validated the generated formula on a group of nine patients with sarcoidosis, obtaining 77.8 % correct classification (95 % CI 45.3-93.7).

conclusionsOur results show that a combinational approach could contribute to identifying individuals likely to experience pulmonary function worsening, thus helping to decide the correct therapeutic strategies.

Indexed as

Disease ProgressionAdultAgedAged, 80 and overBiomarkersBronchoalveolar LavageBronchoscopyCohort StudiesEosinophil Cationic ProteinFemaleFollow-Up StudiesHumansInflammationLongitudinal StudiesLungMaleBiomarkersEosinophil Cationic ProteinPeptide FragmentsPeroxidaseProcollagenprocollagen Type III-N-terminal peptideReceptors, Interleukin-2TryptasesTumor Necrosis Factor-alpha

Identifiers

PMID23262919
OpenAlexW2068131975

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.