Evidence map›Paper›PMID 39831258›Full record

ArticleJournal of thoracic disease2024

Association of CT characteristics of osteosarcoma lung metastases with spontaneous pneumothorax: a retrospective analysis.

Jianqi Li, Chengfen Deng, Jun Yuan, Haolin Jia, Lin Peng

Abstract 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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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

5 authors.

Jianqi LiDepartment of Radiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Chengfen DengDepartment of Radiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Jun YuanDepartment of Radiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Haolin JiaDepartment of Radiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Lin PengDepartment of Radiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.ORCID https://orcid.org/0000-0002-3418-7569

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Spontaneous pneumothorax (SP) has been reported to be associated with osteosarcoma lung metastases, but the computed tomography (CT) characteristics of lung metastases in patients with pneumothorax have not been comprehensively described. The study aimed to describe the CT characteristics of lung metastases in patients with osteosarcoma and to identify factors associated with SP. Methods: This study comprised 123 patients diagnosed with osteosarcoma lung metastasis at our hospital between January 2016 and December 2021. Demographics, tumor characteristics at initial diagnosis, the time interval between diagnosis of lung metastases and pneumothorax, and features of lung metastases on chest CT were documented. Results: A total of 31 patients experienced SP (20 unilateral and 11 bilateral cases). Lung metastases were identified as multiple nodules or masses (39/42 Conclusions: SP can occur in the region of lung metastases near the pleura following the formation and bursting of cavities. Regular follow-up of these patients has the potential to ensure early detection and treatment of pneumothorax.

Indexed as

chest computed tomographyfeatureslung metastasesosteosarcomaSpontaneous pneumothorax (SP)

Identifiers

PMID39831258
PMCPMC11740071

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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.