Evidence map›Paper›PMID 42440895›Full record

ArticleRespirology case reports2026

Use of Extracorporeal Membrane Oxygenation for Lung Cancer-Related Massive Hemoptysis: A Case Report and Literature Review.

Yujie Zhou, Yifen Cai, Ziming Zhen, Lilong Qing, Shaojin Zhu, Lei Zha, Yusheng Cheng

Abstract read
In one paragraph

Article in Respirology case reports, 2026. 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

7 authors.

Yujie ZhouDepartment of Pulmonary and Critical Care Medicine The First Affiliated Hospital of Wannan Medical University Wuhu Anhui China.ORCID https://orcid.org/0009-0004-7952-1294
Yifen CaiDepartment of Pulmonary and Critical Care Medicine The First Affiliated Hospital of Wannan Medical University Wuhu Anhui China.
Ziming ZhenDepartment of Pulmonary and Critical Care Medicine The First Affiliated Hospital of Wannan Medical University Wuhu Anhui China.
Lilong QingDepartment of Pulmonary and Critical Care Medicine The First Affiliated Hospital of Wannan Medical University Wuhu Anhui China.
Shaojin ZhuDepartment of Thoracic Surgery The First Affiliated Hospital of Wannan Medical University Wuhu Anhui China.
Lei ZhaDepartment of Pulmonary and Critical Care Medicine The First Affiliated Hospital of Wannan Medical University Wuhu Anhui China.
Yusheng ChengDepartment of Pulmonary and Critical Care Medicine North District of the First Affiliated Hospital of Anhui Medical University Hefei China.ORCID https://orcid.org/0000-0002-8749-4191

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Massive hemoptysis is a common, life-threatening complication of lung cancer, and asphyxiation due to major airway obstruction is the leading cause of death. Extracorporeal membrane oxygenation (ECMO) can temporarily replace pulmonary gas exchange, stabilize acute respiratory failure, and provide a window for definitive therapy. This case report describes a patient with squamous cell carcinoma who developed catastrophic hemoptysis and successfully underwent right pneumonectomy under venovenous ECMO support, followed by uneventful recovery and discharge. In addition, a focused literature review was conducted to examine the role and optimal timing of ECMO as an adjunct to surgery for lung cancer-related massive hemoptysis, offering practical insights for clinicians managing this critical condition.

Indexed as

ECMOlobectomylung cancermassive hemoptysispneumonectomy

Identifiers

PMID42440895
PMCPMC13334360

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.