Evidence map›Paper›PMID 33115770›Full record

ArticleBMJ open respiratory research2020

Predictors of postoperative acute exacerbation of interstitial lung disease: a case-control study.

Keisuke Hosoki, Yu Mikami, Hirokazu Urushiyama, Kunihiko Souma, Gaku Kawamura, Kanji Uchida, Takahide Nagase, Taisuke Jo

Open access · goldAbstract read
In one paragraph

Article in BMJ open respiratory research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.6field-weighted citation impact, top 26% 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

8 citing papers in PubMed, 6 citations in OpenAlex.

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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

8 authors at 1 institution in 1 country.

Keisuke HosokiDepartment of Respiratory Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Yu MikamiDepartment of Respiratory Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Hirokazu UrushiyamaDepartment of Respiratory Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Kunihiko SoumaDepartment of Respiratory Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Gaku KawamuraDepartment of Anesthesiology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Kanji UchidaDepartment of Anesthesiology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Takahide NagaseDepartment of Respiratory Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Taisuke JoDepartment of Respiratory Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan jo-taisuke@umin.ac.jp.
The University of Tokyo · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionPatients with interstitial lung disease (ILD) are known to develop an acute exacerbation (AE) after surgery. Previous studies have evaluated the predictors of postoperative AE. However, it remains unclear whether the results of those studies can be generalised to patients with different types of ILD and/or extrapolated to those who undergo non-pulmonary surgery. This study aimed to elucidate the predictors of the development of AE after surgery with general anaesthesia in patients with ILD.

methodsWe conducted a nested matched case-control study of 700 patients from an initial cohort of 50 840 patients. We excluded those who underwent solid organ or bone marrow transplantation. The cases were patients with ILD who developed AE within 30 days postoperatively, whereas the controls did not develop AE. Each case (n=28) was matched with four controls (n=112) for sex, year of surgery and multiple operations within 30 days. Furthermore, a multivariable conditional logistic regression analysis was used to identify significant predictors, as indicated by a p value of <0.05.

resultsAfter adjusting for potential confounders, the multivariable conditional logistic regression analysis identified honeycombing on CT (OR 3.09; 95% CI 1.07 to 8.92), a per cent predicted FVC <80% (OR 4.21; 95% CI 1.46 to 12.2) and an ARISCAT score ≥45 (OR 6.14; 95% CI 2.10 to 18.0) significantly associated with the development of postoperative AE.

conclusionsWe found that the three factors were independent predictors for the development of postoperative AE in patients with ILD. These predictors are advantageous because they can be readily evaluated before surgery by surgeons and anaesthesiologists even without consulting experienced pulmonologists.

Indexed as

Lung Diseases, InterstitialCase-Control StudiesHumansRetrospective Studiesclinical epidemiologyinterstitial fibrosisrare lung diseasesthoracic surgery

Identifiers

PMID33115770
PMCPMC7594352
OpenAlexW3095345702

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Registered trials

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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.