Evidence map›Paper›PMID 37268935›Full record

ArticleRespiratory research2023

Machine diagnosis of chronic obstructive pulmonary disease using a novel fast-response capnometer.

Leeran Talker, Daniel Neville, Laura Wiffen, Ahmed B Selim, Matthew Haines, Julian C Carter, Henry Broomfield, Rui Hen Lim, Gabriel Lambert, BRS Study Team and 5 more

4 registry-linked trialsAbstract read
In one paragraph

Article in Respiratory research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 4 registered trials, which are not on this map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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.

NCT02814253 completednot on this map

An Exploratory, Observational Clinical Evaluation of TidalSense's N-Tidal C Data-collector Capnometer to Collect Breathing Records in Patients With COPD

TypeobservationalSponsorTidalSenseRan2016 to 2016Enrolled30ConditionsPulmonary Disease, Chronic Obstructive
NCT03356288 completednot on this map

An Observational Proof-of-concept Study to Explore the Waveform Characteristics of Tidal Breathing Carbon Dioxide (CO2), Measured Using the N-Tidal C™ Device, in Different Breathing Conditions.

TypeobservationalSponsorTidalSenseRan2017 to 2018Enrolled70ConditionsAsthma, Heart Failure, Pneumonia, Motor Neuron Disease
NCT03615365 completednot on this map

Characterisation of COPD Breathing Records During Exacerbations

TypeobservationalSponsorTidalSenseRan2017 to 2018Enrolled50ConditionsChronic Obstructive Pulmonary Disease
NCT04504838 completednot on this map

A Longitudinal, Observational Study to Explore the Tidal Breathing Carbon Dioxide (TBCO2) Waveform, Measured Using the N-Tidal C Device, in Asthma

TypeobservationalSponsorTidalSenseRan2020 to 2022Enrolled124ConditionsAsthma
3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Observational
  2. Article
  3. Development and preliminary tests of a portable volumetric capnograph for outpatient use.Jornal brasileiro de pneumologia : publicacao oficial da Sociedade Brasileira de Pneumologia e Tisilogia · 2025
    Article
  4. Article
  5. Review
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

15 authors.

Leeran TalkerTidalSense Limited, 15a Vinery Rd, Cambridge, CB1 3DN, UK.
Daniel NevillePortsmouth Hospitals University NHS Trust, Portsmouth, UK.
Laura WiffenPortsmouth Hospitals University NHS Trust, Portsmouth, UK.
Ahmed B SelimTidalSense Limited, 15a Vinery Rd, Cambridge, CB1 3DN, UK.
Matthew HainesTidalSense Limited, 15a Vinery Rd, Cambridge, CB1 3DN, UK.
Julian C CarterTidalSense Limited, 15a Vinery Rd, Cambridge, CB1 3DN, UK.
Henry BroomfieldTidalSense Limited, 15a Vinery Rd, Cambridge, CB1 3DN, UK.
Rui Hen LimTidalSense Limited, 15a Vinery Rd, Cambridge, CB1 3DN, UK.
Gabriel LambertTidalSense Limited, 15a Vinery Rd, Cambridge, CB1 3DN, UK.
BRS Study Team
Scott T WeissChanning Division of Network Medicine, Department of Medicine, Harvard Medical School, Boston, MA, USA.
Gail HaywardNuffield Department of Primary Care Health Sciences, NIHR Community Healthcare MedTech and IVD Cooperative, University of Oxford, Oxford, UK.
Thomas BrownPortsmouth Hospitals University NHS Trust, Portsmouth, UK.
Anoop ChauhanPortsmouth Hospitals University NHS Trust, Portsmouth, UK.
Ameera X PatelTidalSense Limited, 15a Vinery Rd, Cambridge, CB1 3DN, UK. ameera.patel@tidalsense.com.

Funding

Innovate UK 102977NIHR II-LA-1117-20002
6 · The paper itself

Abstract

backgroundAlthough currently most widely used in mechanical ventilation and cardiopulmonary resuscitation, features of the carbon dioxide (CO

methodsCapnography data from four longitudinal observational studies (CBRS, GBRS, CBRS2 and ABRS) was analysed from 295 patients, generating a total of 88,186 capnograms. CO

resultsThe best machine learning model (XGBoost) performance provided a class-balanced AUROC of 0.985 ± 0.013, positive predictive value (PPV) of 0.914 ± 0.039 and sensitivity of 0.915 ± 0.066 for a diagnosis of COPD. The waveform features that are most important for driving classification are related to the alpha angle and expiratory plateau regions. These features correlated with spirometry readings, supporting their proposed properties as markers of COPD.

conclusionThe N-Tidal™ device can be used to accurately diagnose COPD in near-real-time, lending support to future use in a clinical setting.

trial registrationPlease see NCT03615365, NCT02814253, NCT04504838 and NCT03356288.

Indexed as

Carbon DioxidePulmonary Disease, Chronic ObstructiveCapnographyForced Expiratory VolumeHumansVital CapacityCarbon DioxideChronic Obstructive Pulmonary DiseaseDiagnosisMachine learning

Identifiers

PMID37268935
PMCPMC10239171

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.