Evidence map›Paper›PMID 38095709›Full record

Observational studySurgery today2024

Exploring phenotype-based ventilator parameter optimization to mitigate postoperative pulmonary complications: a retrospective observational cohort study.

Hideyo Tsumura, Debra Brandon, Charles Vacchiano, Vijay Krishnamoorthy, Raquel Bartz, Wei Pan

Open access · greenAbstract readObservational Study
In one paragraph

Observational study in Surgery today, 2024. 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
0cells of the map it votes in
0citing papers in PubMed
0.3field-weighted citation impact, top 33% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

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

6 authors at 2 institutions in 1 country.

Hideyo TsumuraDuke University School of Nursing, 307 Trent Drive, Durham, NC, 27710, USA. hideyo.tsumura@duke.edu.ORCID http://orcid.org/0000-0003-4362-3462
Debra BrandonDuke University School of Nursing, 307 Trent Drive, Durham, NC, 27710, USA.
Charles VacchianoDuke University School of Nursing, 307 Trent Drive, Durham, NC, 27710, USA.
Vijay KrishnamoorthyDepartment of Anesthesiology, Duke University School of Medicine, Durham, NC, DUMC 309427710, USA.
Raquel BartzDepartment of Anesthesiology, Perioperative and Pain Medicine, Brigham and Women's Hospital, 75 Francis Street, Boston, MA, 02115, USA.
Wei PanDuke University School of Nursing, 307 Trent Drive, Durham, NC, 27710, USA.
Duke University · USBrigham and Women's Hospital · US

Funding

Identification of Postoperative Pulmonary Complication Risk by Phenotyping Adult Surgical Patients who Underwent General Anesthesia with Mechanical VentilationF31NR020128 · NINR · DUKE UNIVERSITY · PI TSUMURA, HIDEYO · 2021 to 2021
$36k
AANA Foundation 2020-G-3NINR NIH HHS 5 F31 NR020128-02NINR NIH HHS F31 NR020128
6 · The paper itself

Abstract

purposeTo identify tidal volume (V

methodsThe subjects of this retrospective observational cohort study were 34,910 adults who underwent surgery, using general anesthesia with mechanical ventilation. Initially, the least absolute shrinkage and selection operator regression was employed to select relevant preoperative characteristics. Then, the classification and regression tree (CART) was built to identify phenotypes. Finally, we computed the area under the receiver operating characteristic curves from logistic regressions to identify V

resultsCARTs classified seven phenotypes for each outcome. A probability of the development of PPCs ranged from the lowest (3.51%) to the highest (68.57%), whereas the probability of the development of the highest level of PPC severity ranged from 3.3% to 91.0%. Across all phenotypes, the V

conclusionsThe ranges of optimal V

Indexed as

PhenotypePositive-Pressure RespirationPostoperative ComplicationsTidal VolumeAdultAgedAnesthesia, GeneralCohort StudiesFemaleHumansIncidenceLung DiseasesMaleMiddle AgedRespiration, ArtificialRetrospective StudiesGeneral anesthesiaIndividualized careLung-protective ventilationMachine learning algorithmsPhenotypesPostoperative pulmonary complications

Identifiers

PMID38095709
PMCPMC11176264
OpenAlexW4389732414

What OpenQuestion holds

Textmetadata
LicenceTDM
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.