Evidence map›Paper›PMID 37347010›Full record

ArticleTrauma case reports2023

Traumatic lung laceration secondary to avulsed lung adhesion - A case report.

Ahmed F Ramzee, Zeenat Bakhsh, Ruben Peralta, Sandro Rizoli, Ayman El-Menyar, Hassan Al-Thani, Talat Chughtai

Abstract readCase Reports
In one paragraph

Article in Trauma case reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Lung parenchymal trauma biomechanics, mechanisms, and classification: a narrative review of the current knowledge.Kardiochirurgia i torakochirurgia polska = Polish journal of cardio-thoracic surgery · 2025
    Review
  3. 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.

Ahmed F RamzeeDepartment of Surgery, Trauma Surgery, Hamad Medical Corporation, Doha, Qatar.
Zeenat BakhshDepartment of Surgery, Trauma Surgery, Hamad Medical Corporation, Doha, Qatar.
Ruben PeraltaDepartment of Surgery, Trauma Surgery, Hamad Medical Corporation, Doha, Qatar.
Sandro RizoliDepartment of Surgery, Trauma Surgery, Hamad Medical Corporation, Doha, Qatar.
Ayman El-MenyarTrauma and Vascular Surgery, Clinical Research, Hamad Medical Corporation, Doha, Qatar.
Hassan Al-ThaniDepartment of Surgery, Trauma Surgery, Hamad Medical Corporation, Doha, Qatar.
Talat ChughtaiDepartment of Surgery, Trauma Surgery, Hamad Medical Corporation, Doha, Qatar.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Pulmonary lacerations caused by an avulsion force on an adhesion between the lung and chest wall following blunt thoracic injury are very rare. They may result in pneumothorax and/or hemothorax and may not be immediately apparent clinically or radiologically. Case presentation: We present the case of a healthy 34-year-old male who sustained blunt thoracic injury. He was clinically stable, and his initial routine images were unremarkable. The patient was discharged home on the same day. He presented a week later with a massive hemothorax requiring surgical intervention which revealed bleeding from an avulsed adhesion between the lung and chest wall. Bleeding was successfully controlled by hemostatic agent, and the patient had an uneventful recovery. Conclusion: Hemothorax requiring intervention from an avulsed adhesion may occur following blunt thoracic trauma. Initial imaging and clinical finding may be misleading. Close follow up and adequate patient education should be ensured prior to discharge following seemingly trivial trauma.

Indexed as

Avulsion forceHemothoraxIntrathoracic injuriesPulmonary lacerationTrauma

Identifiers

PMID37347010
PMCPMC10279908

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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.