Evidence map›Paper›PMID 35577452›Full record

ArticleBMJ open respiratory research2022

Digitally recorded and remotely classified lung auscultation compared with conventional stethoscope classifications among children aged 1-59 months enrolled in the Pneumonia Etiology Research for Child Health (PERCH) case-control study.

Daniel E Park, Nora L Watson, Christopher Focht, Daniel Feikin, Laura L Hammitt, W Abdullah Brooks, Stephen R C Howie, Karen L Kotloff, Orin S Levine, Shabir A Madhi and 24 more

2 registry-linked trialsOpen access · goldAbstract read
In one paragraph

Article in BMJ open respiratory research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 17% 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.

NCT07362433 phase4recruitingnot on this mapstarted 2026, after this paper: background citation

The BLAAAST Trial: Bangladesh Lung Auscultation AI for Antibiotic Stewardship Randomized Controlled Trial

TypeinterventionalSponsorJohns Hopkins UniversityRan2026 to 2029Enrolled2,500ConditionsRespiratory Infections in ChildrenArmsAutomated digital stethoscope
NCT07631377 phase4not yet recruitingnot on this mapstarted 2026, after this paper: background citation

The LalelaLung Study: Digital Stethoscope Clinical Evaluation

TypeinterventionalSponsorJohns Hopkins UniversityRan2026 to 2028Enrolled350ConditionsPneumonia, Tuberculosis, Pulmonary, Respiratory Tract Infections, BronchiolitisArmsStethoMe AI-enabled digital stethoscope system, Standard IMCI assessment
3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Audio-based digital biomarkers in diagnosing and managing respiratory diseases: a systematic review and bibliometric analysis.European respiratory review : an official journal of the European Respiratory Society · 2025
    Pooled it
  2. Article
  3. Article
  4. Computer-Aided Lung Auscultation Screening and Radiographic Evaluation of Pediatric Pneumonia.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2024
    Article
  5. Article
  6. Article
  7. Article
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

34 authors at 15 institutions in 10 countries.

Daniel E ParkDepartment of Environmental and Occupational Health, The George Washington University, Washington, District of Columbia, USA danpark@gwu.edu.ORCID 0000-0001-5139-5397
Nora L WatsonThe Emmes Corporation, Rockville, Maryland, USA.
Christopher FochtThe Emmes Corporation, Rockville, Maryland, USA.
Daniel FeikinDepartment of International Health, Johns Hopkins University International Vaccine Access Center, Baltimore, Maryland, USA.
Laura L HammittDepartment of International Health, Johns Hopkins University International Vaccine Access Center, Baltimore, Maryland, USA.
W Abdullah BrooksInternational Centre for Diarrhoeal Disease Research Bangladesh, Dhaka and Matlab, Bangladesh.
Stephen R C HowieMedical Research Council Unit, Basse, Gambia.
Karen L KotloffDepartment of Pediatrics, University of Maryland Center for Vaccine Development, Baltimore, Maryland, USA.
Orin S LevineDepartment of International Health, Johns Hopkins University International Vaccine Access Center, Baltimore, Maryland, USA.
Shabir A MadhiSouth African Medical Research Council Vaccines and Infectious Diseases Analytics Research Unit, University of the Witwatersrand, Johannesburg, Gauteng, South Africa.
David R MurdochDepartment of Pathology and Biomedical Science, University of Otago, Christchurch, New Zealand.
Katherine L O'BrienDepartment of International Health, Johns Hopkins University International Vaccine Access Center, Baltimore, Maryland, USA.
J Anthony G ScottKenya Medical Research Institute - Wellcome Trust Research Programme, Kilifi, Kenya.
Donald M TheaDepartment of Global Health, Boston University School of Public Health, Boston, Massachusetts, USA.
Tussanee AmorninthapichetSakaeo Crown Prince Hospital, Royal Thai Government Ministry of Public Health, Sakaeo, Thailand.
Juliet AworiKenya Medical Research Institute - Wellcome Trust Research Programme, Kilifi, Kenya.
Charatdao BunthiDivision of Global Health Protection, Thailand Ministry of Public Health - US CDC Collaboration, Royal Thai Government Ministry of Public Health, Bangkok, Thailand.
Bernard EbrukeMedical Research Council Unit, Basse, Gambia.
Mounya ElhilaliDepartment of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, Maryland, USA.
Melissa HigdonDepartment of International Health, Johns Hopkins University International Vaccine Access Center, Baltimore, Maryland, USA.
Lokman HossainInternational Centre for Diarrhoeal Disease Research Bangladesh, Dhaka and Matlab, Bangladesh.
Yasmin JahanInternational Centre for Diarrhoeal Disease Research Bangladesh, Dhaka and Matlab, Bangladesh.
David P MooreSouth African Medical Research Council Vaccines and Infectious Diseases Analytics Research Unit, University of the Witwatersrand, Johannesburg, South Africa.
Justin MulindwaDepartment of Paediatrics and Child Health, University Teaching Hospital, Lusaka, Zambia.
Lawrence MwananyandaDepartment of Global Health, Boston University School of Public Health, Boston, Massachusetts, USA.
Sathapana NaoratRTI International, Research Triangle Park, North Carolina, USA.
Christine ProsperiDepartment of International Health, Johns Hopkins University International Vaccine Access Center, Baltimore, Maryland, USA.
Somsak ThamthitiwatDivision of Global Health Protection, Thailand Ministry of Public Health - US CDC Collaboration, Royal Thai Government Ministry of Public Health, Nonthaburi, Thailand.
Charl VerweySouth African Medical Research Council Vaccines and Infectious Diseases Analytics Research Unit, University of the Witwatersrand, Johannesburg, Gauteng, South Africa.
Kathleen A JablonskiThe George Washington University Biostatistics Center, Rockville, Maryland, USA.
Melinda C PowerDepartment of Epidemiology, The George Washington University, Washington, District of Columbia, USA.
Heather A YoungDepartment of Epidemiology, The George Washington University, Washington, District of Columbia, USA.
Maria Deloria KnollDepartment of International Health, Johns Hopkins University International Vaccine Access Center, Baltimore, Maryland, USA.
Eric D McCollumGlobal Program in Respiratory Sciences, Eudowood Division of Pediatric Respiratory Sciences, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
Johns Hopkins University · USGeorge Washington University · USMinistry of Public Health · THSouth African Medical Research Council · ZABoston University · USEmmes (United States) · USInternational Centre for Diarrhoeal Disease Research · BDKenya Medical Research Institute · KECanterbury Health Laboratories · NZGates Foundation · USMRC Unit the Gambia · GMRTI International · USUniversity of Auckland · NZUniversity of Maryland, Baltimore · USUniversity Teaching Hospital · ZM

Funding

Multidisciplinary Training Program in Pediatric PulmonaryT32HL072748 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI Joseph Michael Collaco · 2003 to 2026
$6.1M
Pulse oximetry for childhood pneumonia in rural BangladeshK01TW009988 · FIC · JOHNS HOPKINS UNIVERSITY · PI MCCOLLUM, ERIC DOUGLASS · 2014 to 2018
$704k
FIC NIH HHS K01 TW009988NHLBI NIH HHS T32 HL072748Wellcome TrustWellcome Trust 098532
6 · The paper itself

Abstract

backgroundDiagnosis of pneumonia remains challenging. Digitally recorded and remote human classified lung sounds may offer benefits beyond conventional auscultation, but it is unclear whether classifications differ between the two approaches. We evaluated concordance between digital and conventional auscultation.

methodsWe collected digitally recorded lung sounds, conventional auscultation classifications and clinical measures and samples from children with pneumonia (cases) in low-income and middle-income countries. Physicians remotely classified recordings as crackles, wheeze or uninterpretable. Conventional and digital auscultation concordance was evaluated among 383 pneumonia cases with concurrently (within 2 hours) collected conventional and digital auscultation classifications using prevalence-adjusted bias-adjusted kappa (PABAK). Using an expanded set of 737 cases that also incorporated the non-concurrently collected assessments, we evaluated whether associations between auscultation classifications and clinical or aetiological findings differed between conventional or digital auscultation using χ

resultsConventional and digital auscultation concordance was moderate for classifying crackles and/or wheeze versus neither crackles nor wheeze (PABAK=0.50), and fair for crackles-only versus not crackles-only (PABAK=0.30) and any wheeze versus no wheeze (PABAK=0.27). Crackles were more common on conventional auscultation, whereas wheeze was more frequent on digital auscultation. Compared with neither crackles nor wheeze, crackles-only on both conventional and digital auscultation was associated with abnormal chest radiographs (adjusted OR (aOR)=1.53, 95% CI 0.99 to 2.36; aOR=2.09, 95% CI 1.19 to 3.68, respectively); any wheeze was inversely associated with C-reactive protein >40 mg/L using conventional auscultation (aOR=0.50, 95% CI 0.27 to 0.92) and with very severe pneumonia using digital auscultation (aOR=0.67, 95% CI 0.46 to 0.97). Crackles-only on digital auscultation was associated with mortality compared with any wheeze (aOR=2.70, 95% CI 1.12 to 6.25).

conclusionsConventional auscultation and remotely-classified digital auscultation displayed moderate concordance for presence/absence of wheeze and crackles among cases. Conventional and digital auscultation may provide different classification patterns, but wheeze was associated with decreased clinical severity on both.

Indexed as

PerchesPneumoniaStethoscopesAnimalsAuscultationCase-Control StudiesChildChild HealthHumansLungRespiratory Soundspaediatric lung disaesepneumoniarespiratory infection

Identifiers

PMID35577452
PMCPMC9115042
OpenAlexW4280540323

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.