Evidence map›Paper›PMID 38617782›Full record

ArticleJournal of thoracic disease2024

The chest X-ray score baseline in predicting continuous oxygen therapy failure in low-risk aged patients after thoracic surgery.

Tongxin Li, Weina Li, Fengxi Chen, Qianfeng Xu, Gaoli Du, Yong Fu, Lihui Yuan, Sha Zhang, Wei Wu, Ping He and 1 more

Open access · diamondAbstract read
In one paragraph

Article in Journal of thoracic disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
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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

11 authors at 1 institution in 1 country.

Tongxin Li *Department of Thoracic Surgery, First Affiliated Hospital of the Army Medical University, Army Medical University (Third Military Medical University), Chongqing, China.
Weina Li *Department of Thoracic Surgery, First Affiliated Hospital of the Army Medical University, Army Medical University (Third Military Medical University), Chongqing, China.
Fengxi ChenDepartment of Radiology, First Affiliated Hospital of the Army Medical University, Army Medical University (Third Military Medical University), Chongqing, China.
Qianfeng XuDepartment of Thoracic Surgery, First Affiliated Hospital of the Army Medical University, Army Medical University (Third Military Medical University), Chongqing, China.
Gaoli DuDepartment of Thoracic Surgery, First Affiliated Hospital of the Army Medical University, Army Medical University (Third Military Medical University), Chongqing, China.
Yong FuDepartment of Cardiothoracic Surgery, Dianjiang People's Hospital of Chongqing, Chongqing, China.
Lihui YuanDepartment of Thoracic Surgery, First Affiliated Hospital of the Army Medical University, Army Medical University (Third Military Medical University), Chongqing, China.
Sha ZhangDepartment of Thoracic Surgery, First Affiliated Hospital of the Army Medical University, Army Medical University (Third Military Medical University), Chongqing, China.
Wei Wu *Department of Thoracic Surgery, First Affiliated Hospital of the Army Medical University, Army Medical University (Third Military Medical University), Chongqing, China.
Ping He *Department of Cardiac Surgery, First Affiliated Hospital of the Army Medical University, Army Medical University (Third Military Medical University), Chongqing, China.
Mei Xia *Department of Thoracic Surgery, First Affiliated Hospital of the Army Medical University, Army Medical University (Third Military Medical University), Chongqing, China.
Army Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Radiographic severity assessment can be instrumental in diagnosing postoperative pulmonary complications (PPCs) and guiding oxygen therapy. The radiographic assessment of lung edema (RALE) and Brixia scores correlate with disease severity, but research on low-risk elderly patients is lacking. This study aimed to assess the efficacy of two chest X-ray scores in predicting continuous oxygen therapy (COT) treatment failure in patients over 70 years of age after thoracic surgery. Methods: From January 2019 to December 2021, we searched for patients aged 70 years and above who underwent thoracic surgery and received COT treatment, with a focus on those at low risk of respiratory complications. Bedside chest X-rays, RALE, Brixia scores, and patient data were collected. Univariate, multivariate analyses, and 1:2 matching identified risk factors. Receiver operating characteristic (ROC) curves determined score sensitivity, specificity, and predictive values. Results: Among the 242 patients surviving to discharge, 19 (7.9%) patients experienced COT failure. COT failure correlated with esophageal cancer surgeries, thoracotomies (36.8% Conclusions: The RALE score predict the risk of COT failure in elderly, low-risk thoracic patients better than the Brixia score. This simple, cheap, and noninvasive method helps evaluate postoperative lung damage, monitor treatment response, and provide early warning for oxygen therapy escalation. Further studies are required to confirm the validity and applicability of this model in different settings and populations.

Indexed as

Brixia scorechest radiographcontinuous oxygen therapy failure (COT failure)predictingRadiographic assessment of lung edema score (RALE score)

Identifiers

PMID38617782
PMCPMC11009605
OpenAlexW4392669315

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.