Evidence map›Paper›PMID 37296201›Full record

ArticleScientific reports2023

Novel nomogram for predicting pulmonary complications in patients with blunt chest trauma with rib fractures: a retrospective cohort study.

Junepill Seok, Su Young Yoon, Jin Young Lee, Seheon Kim, Hyunmin Cho, Wu Seong Kang

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 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
4.4field-weighted citation impact, top 5% 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

10 citing papers in PubMed, 14 citations in OpenAlex.

  1. Evaluating the effectiveness of trauma scores in predicting morbidity and mortality in patients with concomitant thoracic trauma.Ulusal travma ve acil cerrahi dergisi = Turkish journal of trauma & emergency surgery : TJTES · 2026
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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

6 authors at 2 institutions in 1 country.

Junepill SeokDepartment of Thoracic and Cardiovascular Surgery, Chungbuk National University Hospital, Cheongju, 28644, South Korea.
Su Young YoonDepartment of Thoracic and Cardiovascular Surgery, Chungbuk National University Hospital, Cheongju, 28644, South Korea.
Jin Young LeeDepartment of Trauma Surgery, Chungbuk National University Hospital, Cheongju, 28644, South Korea.
Seheon KimDepartment of Trauma Surgery, Chungbuk National University Hospital, Cheongju, 28644, South Korea.
Hyunmin ChoDepartment of Trauma Surgery, Jeju Regional Trauma Center, Cheju Halla General Hospital, 65, Doryeong-Ro, Jeju-Si, Jeju-Do, Republic of Korea.
Wu Seong KangDepartment of Trauma Surgery, Jeju Regional Trauma Center, Cheju Halla General Hospital, 65, Doryeong-Ro, Jeju-Si, Jeju-Do, Republic of Korea. wuseongkang@naver.com.ORCID 0000-0003-0136-4458
Chungbuk National University Hospital · KRCheju Halla General Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The direct consequences of chest trauma may cause adverse outcomes. Therefore, the early detection of high-risk patients and appropriate interventions can improve patient outcomes. This study aimed to investigate the risk factor for overall pulmonary complications in patients with blunt traumatic rib fractures. Prospectively recorded data of patients with blunt chest trauma in a level 1 trauma center between January 2019 and October 2022 were retrospectively analyzed. The primary outcomes were one or more pulmonary complications. To minimize the overfitting of the prediction model, we used the least absolute shrinkage and selection operator (LASSO) logistic regression. We input selected features using LASSO regression into the multivariable logistic regression model (MLR). We also constructed a nomogram to calculate approximate individual probability. Altogether, 542 patients were included. The LASSO regression model identified age, injury severity score (ISS), and flail motion of the chest wall as significant risk factors. In the MLR analysis, age (adjusted OR [aOR] 1.06; 95% confidence interval [CI] 1.03-1.08; p < 0.001), ISS (aOR 1.10; 95% CI 1.05-1.16; p < 0.001), and flail motion (aOR 8.82; 95% CI 4.13-18.83; p < 0.001) were significant. An MLR-based nomogram predicted the individual risk, and the area under the receiver operating characteristic curve was 0.826. We suggest a novel nomogram with good performance for predicting adverse pulmonary outcomes. The flail motion of the chest wall may be the most significant risk factor for pulmonary complications.

Indexed as

Rib FracturesThoracic InjuriesWounds, NonpenetratingHumansNomogramsRetrospective Studies

Identifiers

PMID37296201
PMCPMC10256745
OpenAlexW4380084137

What OpenQuestion holds

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LicenceCC BY
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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.