Evidence map›Paper›PMID 42022753›Full record

ArticleDiscover medicine2026

Effect of attaching ChARM automated respiratory rate counter on actual respiratory rate in children.

Ahad Mahmud Khan, Md Shafiqul Islam, Nabidul Haque Chowdhury, Salahuddin Ahmed, Fatima Tul Jannat, Md Faizul Ahasan, Rizouan Ur Rashid, Rakib Bhuiyan, Mohammad Sarafat Ullah, Ting Shi and 4 more

Abstract read
In one paragraph

Article in Discover medicine, 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
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0citing papers in PubMed
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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

14 authors.

Ahad Mahmud KhanProjahnmo Research Foundation, Dhaka, Bangladesh.ORCID 0000-0002-4347-0825
Md Shafiqul IslamProjahnmo Research Foundation, Dhaka, Bangladesh.ORCID 0009-0006-6109-7717
Nabidul Haque ChowdhuryProjahnmo Research Foundation, Dhaka, Bangladesh.ORCID 0000-0002-6149-1152
Salahuddin AhmedProjahnmo Research Foundation, Dhaka, Bangladesh.ORCID 0000-0001-6771-0638
Fatima Tul JannatNobojatok-Shishu and General Hospital, Dhaka, Bangladesh.
Md Faizul AhasanDepartment of Pharmacology and Therapeutics, Ibrahim Medical College, Dhaka, Bangladesh.
Rizouan Ur RashidUniversity of Greenwich, London, UK.
Rakib BhuiyanUniversity of Greenwich, London, UK.
Mohammad Sarafat UllahUniversity of Greenwich, London, UK.
Ting ShiUsher Institute, University of Edinburgh, Edinburgh, UK.
Abdullah H BaquiDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD USA.ORCID 0000-0001-8350-1983
Steve CunninghamCentre for Inflammation Research, University of Edinburgh, Edinburgh, UK.ORCID 0000-0001-7342-251X
Eric D McCollumDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD USA.ORCID 0000-0002-1872-5566
Harry CampbellUsher Institute, University of Edinburgh, Edinburgh, UK.ORCID 0000-0002-6169-6262

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate respiratory rate (RR) measurement is essential for diagnosing and classifying pneumonia in children. The Children's Automated Respiration Monitor (ChARM) can measure RR, but placing the device on the chest may influence a child's breathing. This study evaluated whether ChARM affects RR measurement and identification of fast breathing. We conducted a cross-sectional study in multiple health facilities in Bangladesh (2021-2022). Children aged 0-59 months presenting with suspected pneumonia were enrolled. RR was first measured manually by a physician or a health worker and then using ChARM, while chest movements during both measurements were video recorded. A six-member video expert panel (VEP) reviewed all recordings and derived manual RR. Differences in RR values and fast breathing classifications between the two measurement methods were examined. Of 339 enrolled children, both manual and ChARM measurements were obtained for 294; the remainder could not be assessed because of crying or movement. The child's condition remained same during both measurements in 256 cases. After excluding uninterpretable videos and readings without consensus, VEP-determined RR was available for 217 children. The mean difference in RR between the two measurements was 0.5 breaths per minute (standard error 0.4). RR classification (normal vs. fast breathing) changed in 21 children (9.7%), with moderate agreement between measurements (kappa = 0.749). ChARM did not significantly alter mean RR, though classification changed for a small proportion of children. Because exclusions and non-interpretable videos may have introduced bias, additional studies are required to more definitely evaluate whether device attachment influences RR or fast-breathing classification. Supplementary Information: The online version contains supplementary material available at 10.1007/s44337-026-00595-8.

Indexed as

Automated counterFast breathingPneumoniaRespiratory rate

Identifiers

PMID42022753
PMCPMC13098974

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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.