Evidence map›Paper›PMID 34303020›Full record

ArticleThe journal of allergy and clinical immunology. In practice2021

Diagnosing Asthma with and without Aerosol-Generating Procedures.

Sarah Drake, Ran Wang, Laura Healy, Stephen A Roberts, Clare S Murray, Angela Simpson, Stephen J Fowler

Abstract read
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In one paragraph

Article in The journal of allergy and clinical immunology. In practice, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 26% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Sarah DrakeFaculty of Biology, Medicine and Health, School of Biological Sciences, Division of Infection, Immunity & Respiratory Medicine, The University of Manchester, Manchester Academic Health Science Centre, Manchester, United Kingdom; NIHR Manchester Biomedical Research Unit and Manchester University NHS Foundation Trust, Manchester, United Kingdom.
Ran WangFaculty of Biology, Medicine and Health, School of Biological Sciences, Division of Infection, Immunity & Respiratory Medicine, The University of Manchester, Manchester Academic Health Science Centre, Manchester, United Kingdom; NIHR Manchester Biomedical Research Unit and Manchester University NHS Foundation Trust, Manchester, United Kingdom.
Laura HealyFaculty of Biology, Medicine and Health, School of Biological Sciences, Division of Infection, Immunity & Respiratory Medicine, The University of Manchester, Manchester Academic Health Science Centre, Manchester, United Kingdom; NIHR Manchester Biomedical Research Unit and Manchester University NHS Foundation Trust, Manchester, United Kingdom.
Stephen A RobertsCentre for Biostatistics, School of Health Sciences, The University of Manchester, Manchester, United Kingdom.
Clare S MurrayFaculty of Biology, Medicine and Health, School of Biological Sciences, Division of Infection, Immunity & Respiratory Medicine, The University of Manchester, Manchester Academic Health Science Centre, Manchester, United Kingdom; NIHR Manchester Biomedical Research Unit and Manchester University NHS Foundation Trust, Manchester, United Kingdom.
Angela SimpsonFaculty of Biology, Medicine and Health, School of Biological Sciences, Division of Infection, Immunity & Respiratory Medicine, The University of Manchester, Manchester Academic Health Science Centre, Manchester, United Kingdom; NIHR Manchester Biomedical Research Unit and Manchester University NHS Foundation Trust, Manchester, United Kingdom.
Stephen J FowlerFaculty of Biology, Medicine and Health, School of Biological Sciences, Division of Infection, Immunity & Respiratory Medicine, The University of Manchester, Manchester Academic Health Science Centre, Manchester, United Kingdom; NIHR Manchester Biomedical Research Unit and Manchester University NHS Foundation Trust, Manchester, United Kingdom. Electronic address: stephen.fowler@manchester.ac.uk.
Manchester Academic Health Science Centre · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAsthma diagnostic guidelines require procedures with aerosol-generating potential (aerosol-generating procedures [AGPs]) to guide decision making. Restricted access to AGPs poses significant challenges in primary care and resource-poor countries, further amplified during the coronavirus disease 2019 pandemic.

objectiveTo establish an approach to asthma diagnosis that does not require AGPs.

methodSymptomatic yet untreated (beyond as-required bronchodilator use) adults with clinician-suspected asthma and maximum 10 pack year smoking history were recruited. Clinical history, physical examination, spirometry with bronchodilator reversibility, home peak flow monitoring, and bronchial challenges were performed, and fractional exhaled nitric oxide and serum eosinophils measured. Tests were then repeated following treatment with inhaled corticosteroids before an asthma diagnosis was confirmed or refuted by an expert panel.

resultsA total of 65 adults (mean age, 34.8 ± 12.2 years) were recruited. Five were excluded as "unclassifiable," because of borderline results or missing data. Of the remainder, 36 were diagnosed with asthma and 24 were not. Using data from non-AGPs only (wheeze on auscultation and blood eosinophilia) and home peak flow variability, a "rule-in" diagnostic model provided comparable discriminative ability to the application of established guidelines. Clinical suspicion of asthma together with at least 1 positive non-AGP test result provided a sensitivity of 55%, specificity of 100%, positive predictive value of 100%, and negative predictive value of 60%. Application of this model reduced the need for spirometry-based tests by one-third.

conclusionsThe proposed diagnostic algorithm may be clinically useful in "ruling-in" asthma in adults when access to AGPs is limited. This algorithm is not suitable for those with low clinical probability, with a significant smoking history, or where alternative diagnoses are more likely. This pragmatic approach to asthma diagnosis merits prospective validation.

Indexed as

AsthmaCOVID-19AdultAerosolsBreath TestsFractional Exhaled Nitric Oxide TestingHumansMiddle AgedNitric OxideSARS-CoV-2SpirometryYoung AdultAerosolsNitric OxideAsthmaCOVID-19Diagnosis

Identifiers

PMID34303020
OpenAlexW3184756420

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.