Evidence map›Paper›PMID 34829427›Full record

ArticleDiagnostics (Basel, Switzerland)2021

Performance of Automated Point-of-Care Respiratory Rate Counting versus Manual Counting in Children under Five Admitted with Severe Febrile Illness to Kisantu Hospital, DR Congo.

Bieke Tack, Daniel Vita, Thomas Nsema Mbaki, Octavie Lunguya, Jaan Toelen, Jan Jacobs

Open access · goldAbstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

6 citing papers in PubMed, 8 citations in OpenAlex.

  1. Observational
  2. Article
  3. Article
  4. NontyphoidalOpen forum infectious diseases · 2023
    Article
  5. Article
  6. 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

6 authors at 3 institutions in 2 countries.

Bieke TackDepartment of Clinical Sciences, Institute of Tropical Medicine, 2000 Antwerp, Belgium.ORCID 0000-0002-1129-0440
Daniel VitaHôpital Général de Référence Saint Luc de Kisantu, Kisantu, Democratic Republic of the Congo.
Thomas Nsema MbakiHôpital Général de Référence Saint Luc de Kisantu, Kisantu, Democratic Republic of the Congo.
Octavie LunguyaDepartment of Microbiology, Institut National de Recherche Biomédicale, Kinshasa, Democratic Republic of the Congo.
Jaan ToelenDepartment of Development and Regeneration, KU Leuven, 3000 Leuven, Belgium.ORCID 0000-0001-9339-5408
Jan JacobsDepartment of Clinical Sciences, Institute of Tropical Medicine, 2000 Antwerp, Belgium.
Instituut voor Tropische Geneeskunde · BEKU Leuven · BENational Institute of Biomedical Research · CD

Funding

Belgian Directorate of Development Cooperation (DGD) Framework Agreement between the Belgian DGD and the Institute of Tropical Medicine, BelgiumEuropean Union's Horizon 2020 research and innovation program 815439Research Foundation - Flanders 1153220N
6 · The paper itself

Abstract

To improve the early recognition of danger signs in children with severe febrile illness in low resource settings, WHO promotes automated respiratory rate (RR) counting, but its performance is unknown in this population. Therefore, we prospectively evaluated the field performance of automated point-of-care plethysmography-based RR counting in hospitalized children with severe febrile illness (<5 years) in DR Congo. A trained research nurse simultaneously counted the RR manually (comparative method) and automatically with the Masimo Rad G pulse oximeter. Valid paired RR measurements were obtained in 202 (83.1%) children, among whom 43.1% (87/202) had fast breathing according to WHO criteria based on manual counting. Automated counting frequently underestimated the RR (median difference of -1 breath/minute; p2.5-p97.5 limits of agreement: -34-6), particularly at higher RR. This resulted in a failure to detect fast breathing in 24.1% (21/87) of fast breathing children (positive percent agreement: 75.9%), which was not explained by clinical characteristics (

Indexed as

automated respiratory rate countingbloodstream infectionfast breathinghandheld pulse oximeterlow resource settingpoint-of-care testsevere febrile illnesssevere malariaWHO Integrated Management of Childhood Illness

Identifiers

PMID34829427
PMCPMC8623579
OpenAlexW3214605603

What OpenQuestion holds

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LicenceCC BY
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.