Evidence map›Paper›PMID 31931776›Full record

ArticleBMC pulmonary medicine2020

Effects of high-flow nasal cannula in patients with persistent hypercapnia after an acute COPD exacerbation: a prospective pilot study.

Lara Pisani, Sara Betti, Carlotta Biglia, Luca Fasano, Vito Catalanotti, Irene Prediletto, Vittoria Comellini, Letizia Bacchi-Reggiani, Stefano Nava Fers

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in BMC pulmonary medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03759457 (High Flow Nasal Cannula), which is not on this map. Cited by 21 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 3 pooled it
3.3field-weighted citation impact, top 6% 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.

NCT03759457 naunknown statusnot on this map

High Flow Nasal Cannula (HFNC) in COPD Patients With Persistent Hypercapnia After an Acute Exacerbation

TypeinterventionalSponsorIRCCS Azienda Ospedaliero-Universitaria di BolognaRan2018 to 2019Enrolled50ConditionsCOPDArmsHigh Flow Nasal Cannula (AIRVO2)
3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 3 syntheses or guidelines pooled it, 38 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Trial
  6. Nasal High-flow Oxygen Versus Conventional Oxygen Therapy for Acute Severe Asthma Patients: A Pilot Randomized Controlled Trial.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2021
    Trial
  7. Development in PaCOBMJ open respiratory research · 2020
    Trial
  8. Short-acting βInternal medicine (Tokyo, Japan) · 2025
    Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. Asymmetrical nasal high flow ventilation improves clearance of COJournal of applied physiology (Bethesda, Md. : 1985) · 2023
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

9 authors at 2 institutions in 1 country.

Lara PisaniRespiratory and Critical Care Unit, University Hospital St. Orsola-Malpighi, Via G. Massarenti 9, Pavilion 15, Bologna, Italy. lara.pisani@aosp.bo.it.
Sara BettiRespiratory and Critical Care Unit, Department of Clinical, Integrated and Experimental Medicine (DIMES), University Hospital St. Orsola-Malpighi, Bologna, Italy.
Carlotta BigliaRespiratory and Critical Care Unit, Department of Clinical, Integrated and Experimental Medicine (DIMES), University Hospital St. Orsola-Malpighi, Bologna, Italy.
Luca FasanoRespiratory and Critical Care Unit, University Hospital St. Orsola-Malpighi, Via G. Massarenti 9, Pavilion 15, Bologna, Italy.
Vito CatalanottiRespiratory and Critical Care Unit, Department of Clinical, Integrated and Experimental Medicine (DIMES), University Hospital St. Orsola-Malpighi, Bologna, Italy.
Irene PredilettoRespiratory and Critical Care Unit, Department of Clinical, Integrated and Experimental Medicine (DIMES), University Hospital St. Orsola-Malpighi, Bologna, Italy.
Vittoria ComelliniRespiratory and Critical Care Unit, University Hospital St. Orsola-Malpighi, Via G. Massarenti 9, Pavilion 15, Bologna, Italy.
Letizia Bacchi-ReggianiDepartment of Experimental, Diagnostic and Specialty Medicine (DIMES), S. Orsola-Malpighi Hospital, University of Bologna, Bologna, Italy.
Stefano Nava FersRespiratory and Critical Care Unit, Department of Clinical, Integrated and Experimental Medicine (DIMES), University Hospital St. Orsola-Malpighi, Bologna, Italy.
Policlinico S.Orsola-Malpighi · ITUniversity of Bologna · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPersistent hypercapnia after COPD exacerbation is associated with excess mortality and early rehospitalization. High Flow Nasal cannula (HFNC), may be theoretically an alternative to long-term noninvasive ventilation (NIV), since physiological studies have shown a reduction in PaCO2 level after few hours of treatment. In this clinical study we assessed the acceptability of HFNC and its effectiveness in reducing the level of PaCO

methodsFifty COPD patients recovering from an acute exacerbation and with persistent hypercapnia, despite having attained a stable pH (i.e. pH > 7,35 and PaCO

conclusionsHFNC is able to significantly decrease the level of PaCO

trial registrationThis study is registered with www. clinicaltrials.gov with identifier number NCT03759457.

Indexed as

AgedAged, 80 and overCarbon DioxideCatheterizationDisease ProgressionFemaleHumansHypercapniaMaleNoninvasive VentilationPilot ProjectsProspective StudiesPulmonary Disease, Chronic ObstructiveRespiratory InsufficiencyTime FactorsCarbon DioxideChronic obstructive pulmonary diseaseHigh flow nasal cannulaLong term non invasive ventilationPersistent hypercapnia

Identifiers

PMID31931776
PMCPMC6958745
OpenAlexW3005885290

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.