Evidence map›Paper›PMID 37626100›Full record

ArticleScientific reports2023

Secondary analysis of preoperative predictors for acute postoperative exacerbation in interstitial lung disease.

Fumiko Seto, Gaku Kawamura, Keisuke Hosoki, Michiko Ushio, Taisuke Jo, Kanji Uchida

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 36% 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

3 citing papers in PubMed, 1 citations in OpenAlex.

  1. Article
  2. Article
  3. 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 1 institution in 1 country.

Fumiko SetoDepartment of Anesthesiology, Faculty of Medicine, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan.
Gaku KawamuraDepartment of Anesthesiology, Faculty of Medicine, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan. gaku-kawa@umin.ac.jp.
Keisuke HosokiDepartment of Respiratory Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Michiko UshioDepartment of Anesthesiology, Faculty of Medicine, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan.
Taisuke JoDepartment of Respiratory Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Kanji UchidaDepartment of Anesthesiology, Faculty of Medicine, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan.
The University of Tokyo · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study assessed whether perioperative management is associated with postoperative acute exacerbations (AEs) in interstitial lung disease (ILD) patients. Using secondary data from the study "Postoperative acute exacerbation of interstitial lung disease: a case-control study," we compared the perioperative clinical management of the AE and non-AE groups (1:4 case-control matching) selected by sex, year of surgery (2009-2011, 2012-2014, and 2015-2017), and multiple surgeries within 30 days. We compared 27 and 108 patients with and without AEs, respectively. Rates of one lung ventilation (OLV) cases (70 vs. 29%; OR, 5.9; 95%CI, 2.34-14.88; p < 0.001) and intraoperative steroid administration (48 vs. 26%; OR, 2.65; 95%CI, 1.11-6.33; p = 0.028), and average mean inspiratory pressure (9.2 [1.8] vs. 8.3 [1.7] cmH

Indexed as

Lung Diseases, InterstitialOne-Lung VentilationCase-Control StudiesHumansOxygenPostoperative PeriodOxygen

Identifiers

PMID37626100
PMCPMC10457368
OpenAlexW4386156642

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.