Evidence map›Paper›PMID 41814194›Full record

ArticleBMC primary care2026

Peak flow meter is a sensitive test for assessing airflow limitation in patients with respiratory symptoms suggestive of asthma in primary health care in Brazil.

Ana Paula Tussi Leite, Frederico Friedrich, Bruna Silveira da Rosa, Géssica Luana Antunes, Ingrid Rodrigues Fernandes, Lauren Sezera Costa, Leonardo Duarte Santos, Mariana Severo da Costa, Tássia Rolim Camargo, Mariah Prata Soldi P Taube and 3 more

Abstract read
In one paragraph

Article in BMC primary care, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Ana Paula Tussi LeiteProject Office, Social Responsibility, Institutional Development Support Program for the Unified Health System (PROADI-SUS), Hospital Moinhos de Vento (HMV), Porto Alegre, RS, Brazil. ana.leite@hmv.org.br.
Frederico FriedrichProject Office, Social Responsibility, Institutional Development Support Program for the Unified Health System (PROADI-SUS), Hospital Moinhos de Vento (HMV), Porto Alegre, RS, Brazil.
Bruna Silveira da RosaResearch Institute, Hospital Moinhos de Vento (HMV), Porto Alegre, RS, Brazil.
Géssica Luana AntunesProject Office, Social Responsibility, Institutional Development Support Program for the Unified Health System (PROADI-SUS), Hospital Moinhos de Vento (HMV), Porto Alegre, RS, Brazil.
Ingrid Rodrigues FernandesProject Office, Social Responsibility, Institutional Development Support Program for the Unified Health System (PROADI-SUS), Hospital Moinhos de Vento (HMV), Porto Alegre, RS, Brazil.
Lauren Sezera CostaProject Office, Social Responsibility, Institutional Development Support Program for the Unified Health System (PROADI-SUS), Hospital Moinhos de Vento (HMV), Porto Alegre, RS, Brazil.
Leonardo Duarte SantosProject Office, Social Responsibility, Institutional Development Support Program for the Unified Health System (PROADI-SUS), Hospital Moinhos de Vento (HMV), Porto Alegre, RS, Brazil.
Mariana Severo da CostaProject Office, Social Responsibility, Institutional Development Support Program for the Unified Health System (PROADI-SUS), Hospital Moinhos de Vento (HMV), Porto Alegre, RS, Brazil.
Tássia Rolim CamargoProject Office, Social Responsibility, Institutional Development Support Program for the Unified Health System (PROADI-SUS), Hospital Moinhos de Vento (HMV), Porto Alegre, RS, Brazil.
Mariah Prata Soldi P TaubeDivision of Pulmonology, Heart Institute (InCor), Hospital das Clínicas, Faculty of Medicine, University of São Paulo, São Paulo, SP, Brazil.
Álvaro A CruzFoundation ProAR and Federal University of Bahia, Salvador, Bahia, Brazil.
Marcus H JonesSchool of Medicine, Pontifícia Universidade Católica do Rio Grande do Sul (PUCRS), Porto Alegre, RS, Brazil.
Paulo M PitrezHospital Santa Casa de Porto Alegre, Porto Alegre, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe peak flow meter is considered a complementary tool to spirometry for monitoring obstructive lung diseases. In many countries, spirometry is not easily accessible for diagnosing asthma in primary care. In this context, there has been growing interest in evaluating the role of the peak expiratory flow meter (PEFM) for asthma management, particularly in primary care settings. This study aims to assess the usefulness of PEFM in detecting airflow limitation (AFL), as identified by conventional spirometry, in a primary health care (PHC) setting in Brazil.

methodsThis cross-sectional study was nested within a clinical trial. Participants aged 6 to 65, both sexes, with a history of respiratory symptoms suggestive of asthma and uncontrolled disease, from 28 PHC centers across all macroregions of Brazil were included. AFL was defined by spirometry according to international criteria and by PEFM when PEF was < 80% of the predicted value. The Global Lung Function Initiative (GLI) equations were used for parameterization. The accuracy of PEFM in detecting AFL, as identified by spirometry, was analyzed, and sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and area under the ROC curve (AUC) were reported.

resultsAmong 298 participants, 107 (36%) had a confirmed asthma diagnosis. Spirometry identified AFL in 36% (n = 107) of participants, while PEFM detected AFL in 64.8% (n = 193). PEFM demonstrated an overall sensitivity of 82.4% (95% CI: 78.0%–86.7%) for detecting AFL compared with spirometry. Specificity was 44.4% (95% CI: 38.8%–50.0%), and AUC for the PEFM was 0.73. The Intraclass Correlation Coefficient (ICC) for absolute PEFM values was 0.01 (95% CI: -0.18 to 0.20, p = 0.473).

conclusionsThe PEFM demonstrates high sensitivity for AFL, but it should be used with caution as a stand-alone tool for asthma diagnosis. Given its low cost and easy access in PHC settings, PEFM seems to be a useful initial screening tool for AFL, especially in resource-limited settings.

Indexed as

AsthmaAdolescentAdultAgedBrazilChildCross-Sectional StudiesFemaleHumansMaleMiddle AgedPeak Expiratory Flow RatePredictive Value of TestsPrimary Health CareROC CurveSensitivity and SpecificityAsthmaPrimary health careRespiratory function tests

Identifiers

PMID41814194
PMCPMC13094010

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LicenceCC BY-NC-ND
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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.