Evidence map›Paper›PMID 33219548›Full record

ArticleMycoses2021

Diagnosis of allergic bronchopulmonary aspergillosis in patients with persistent allergic asthma using three different diagnostic algorithms.

Vida Mortezaee, Seyed Alireza Mahdaviani, Mihan Pourabdollah, Maryam Hassanzad, Maryam Sadat Mirenayat, Payam Mehrian, Naser Behnampour, Jamshid Yazdani Charati, Zahra Peirovi, Somayeh Sharifynia and 2 more

Open access · greenAbstract readEvaluation Study
In one paragraph

Article in Mycoses, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.2field-weighted citation impact, top 36% 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

3 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. The immune response to airway mycosis.Current opinion in microbiology · 2021
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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

12 authors at 4 institutions in 2 countries.

Vida MortezaeeDepartment of Medical Mycology, School of Medicine, Mazandaran University of Medical Sciences, Sari, Iran.
Seyed Alireza MahdavianiPaediatric Respiratory Diseases Research Center, National Research Institute of Tuberculosis and Lung Diseases (NRITLD), Shaheed Beheshti University of Medical Sciences, Tehran, Iran.
Mihan PourabdollahPaediatric Respiratory Diseases Research Center, National Research Institute of Tuberculosis and Lung Diseases (NRITLD), Shaheed Beheshti University of Medical Sciences, Tehran, Iran.
Maryam HassanzadPaediatric Respiratory Diseases Research Center, National Research Institute of Tuberculosis and Lung Diseases (NRITLD), Shaheed Beheshti University of Medical Sciences, Tehran, Iran.
Maryam Sadat MirenayatLung Transplantation Research Center (LTRC), National Research Institute of Tuberculosis and Lung Diseases (NIRTLD), Shaheed Beheshti University of Medical Sciences, Tehran, Iran.
Payam MehrianChronic Respiratory Diseases Research Center (CRDRC), National Research Institute of Tuberculosis and Lung Diseases (NRITLD), Shaheed Beheshti University of Medical Sciences, Tehran, Iran.
Naser BehnampourDepartment of Biostatistics, Faculty of Health, Golestan University of Medical Sciences, Gorgan, Iran.
Jamshid Yazdani CharatiDepartment of Biostatistics, Faculty of Health, Mazandaran University of Medical Sciences, Sari, Iran.
Zahra PeiroviChronic Respiratory Diseases Research Center (CRDRC), National Research Institute of Tuberculosis and Lung Diseases (NRITLD), Shaheed Beheshti University of Medical Sciences, Tehran, Iran.
Somayeh SharifyniaClinical Tuberculosis and Epidemiology Research Center, NRITLD, Beheshti University of Medical Sciences, Tehran, Iran.ORCID https://orcid.org/0000-0001-8799-2513
Seyedmojtaba SeyedmousaviMicrobiology Service, Department of Laboratory Medicine, Clinical Center, National Institutes of Health, Bethesda, MD, USA.ORCID https://orcid.org/0000-0002-6194-7447
Mohammad T HedayatiDepartment of Medical Mycology, School of Medicine, Mazandaran University of Medical Sciences, Sari, Iran.ORCID https://orcid.org/0000-0001-6415-4648
Masih Daneshvari Hospital · IRMazandaran University of Medical Sciences · IRGolestan University · IRNational Institutes of Health Clinical Center · US

Funding

Intramural NIH HHS Z99 CL999999Mazandaran University of Medical Sciences 2060
6 · The paper itself

Abstract

backgroundAllergic bronchopulmonary aspergillosis (ABPA) has been reported in various degrees among patients with persistent allergic asthma (PAA). Currently, there is no gold standard approach for diagnosis of ABPA.

objectivesIn the current study, we aimed the evaluation of three different mainly used algorithms as Rosenberg & Patterson (A), ISHAM Working Group (B) and Greenberger (C) for diagnosis of ABPA in 200 patients with underlying PAA.

methodsAll patients were evaluated using Aspergillus skin prick test (SPTAf), Aspergillus-specific IgE (sIgEAf) and IgG (sIgGAf), total IgE (tIgE), pulmonary function tests, radiological findings and peripheral blood eosinophil count. The prevalence rate of ABPA in PAA patients was estimated by three diagnostic criteria. We used Latent Class Analysis for the evaluation of different diagnostic parameters in different applied ABPA diagnostic algorithms.

resultsAspergillus sensitisation was observed in 30 (15.0%) patients. According to algorithms A, B and C, nine (4.5%), six (3.0%) and 11 (5.5%) of patients were diagnosed with ABPA, respectively. The sensitivity and specificity of criteria B and C were (55.6% and 99.5%) and (100.0% and 98.9%) respectively. sIgEAf and sIgGAf showed the high significant sensitivity. The performance of algorithm A, in terms of sensitivity and specificity, was somewhat better than algorithm B.

conclusionOur study demonstrated that the sensitivity of different diagnostic algorithms could change the prevalence rate of ABPA. We also found that all of three criteria resulted an adequate specificity for ABPA diagnosis. A consensus patterns combining elements of all three criteria may warrant a better diagnostic algorithm.

Indexed as

AlgorithmsAntibodies, FungalAspergillosis, Allergic BronchopulmonaryAsthmaClinical Laboratory TechniquesHumansImmunoglobulin EPrevalenceSensitivity and SpecificitySkin TestsAntibodies, FungalImmunoglobulin Eallergic bronchopulmonary aspergillosisaspergillus sensitisationdiagnostic algorithmpersistent allergic asthmaprevalence rate

Identifiers

PMID33219548
PMCPMC7902363
OpenAlexW3103976849

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Registered trials

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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.