Evidence map›Paper›PMID 37762914›Full record

ArticleJournal of clinical medicine2023

Clinical Outcomes according to Timing to Non Invasive Ventilation Initiation in COPD Patients with Acute Respiratory Failure: A Retrospective Cohort Study.

Lara Pisani, Gabriele Corsi, Marco Carpano, Gilda Giancotti, Maria Laura Vega, Vito Catalanotti, Stefano Nava

Abstract read
In one paragraph

Article in Journal of clinical medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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.

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

1 citing paper in PubMed.

  1. 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

7 authors.

Lara PisaniAlma Mater Studiorum, Department of Medical and Surgical Sciences (DIMEC), University of Bologna, 40126 Bologna, Italy.
Gabriele CorsiAlma Mater Studiorum, Department of Medical and Surgical Sciences (DIMEC), University of Bologna, 40126 Bologna, Italy.
Marco CarpanoAlma Mater Studiorum, Department of Medical and Surgical Sciences (DIMEC), University of Bologna, 40126 Bologna, Italy.
Gilda GiancottiAlma Mater Studiorum, Department of Medical and Surgical Sciences (DIMEC), University of Bologna, 40126 Bologna, Italy.ORCID 0000-0002-6326-069X
Maria Laura VegaAlma Mater Studiorum, Department of Medical and Surgical Sciences (DIMEC), University of Bologna, 40126 Bologna, Italy.
Vito CatalanottiRespiratory and Critical Care Unit, IRCCS Azienda Ospedaliero Universitaria di Bologna, 40138 Bologna, Italy.ORCID 0000-0001-9871-9475
Stefano NavaAlma Mater Studiorum, Department of Medical and Surgical Sciences (DIMEC), University of Bologna, 40126 Bologna, Italy.ORCID 0000-0002-8404-2085

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nighttime and non-working days are characterized by a shortage of dedicated staff and available resources. Previous studies have highlighted that patients admitted during the weekend had higher mortality than patients admitted on weekdays ("weekend effect"). However, most studies have focused on specific conditions and controversial results were reported. We conducted an observational, monocentric, retrospective cohort study, based on data collected prospectively to evaluate the impact of the timing of NIV initiation on clinical outcomes in COPD patients with acute respiratory failure (ARF). A total of 266 patients requiring NIV with a time gap between diagnosis of ARF and NIV initiation <48 h were included. Interestingly, 39% of patients were not acidotic (pH = 7.38 ± 0.09 vs. 7.26 ± 0.05,

Indexed as

acute respiratory failuredaytimemechanical ventilationnighttimeNIVnon-working days

Identifiers

PMID37762914
PMCPMC10532060

What OpenQuestion holds

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LicenceCC BY
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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.