Evidence map›Paper›PMID 30066098›Full record

ArticleCritical ultrasound journal2018

An easier and safe affair, pleural drainage with ultrasound in critical patient: a technical note.

Luigi Vetrugno, Giovanni Maria Guadagnin, Daniele Orso, Enrico Boero, Elena Bignami, Tiziana Bove

Abstract read
In one paragraph

Article in Critical ultrasound journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–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

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  4. Advanced imaging techniques and artificial intelligence in pleural diseases: a narrative review.European respiratory review : an official journal of the European Respiratory Society · 2025
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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.

Luigi VetrugnoAnesthesiology and Intensive Care Clinic, Department of Medicine, University of Udine, P.le S. Maria della Misericordia n.15, 33100, Udine, Italy.
Giovanni Maria GuadagninAnesthesiology and Intensive Care Clinic, Department of Medicine, University of Udine, P.le S. Maria della Misericordia n.15, 33100, Udine, Italy. giovannimaria.guadagnin@gmail.com.
Daniele OrsoAnesthesiology and Intensive Care Clinic, Department of Medicine, University of Udine, P.le S. Maria della Misericordia n.15, 33100, Udine, Italy.
Enrico BoeroAnesthesiology and Intensive Care, Department of Surgical Sciences, University of Turin, Turin, Italy.
Elena BignamiAnesthesiology, Critical Care and Pain Medicine Division, Department of Medicine and Surgery, University of Parma, Parma, Italy.
Tiziana BoveAnesthesiology and Intensive Care Clinic, Department of Medicine, University of Udine, P.le S. Maria della Misericordia n.15, 33100, Udine, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Thoracic ultrasound is a powerful diagnostic imaging technique for pleural space disorders. In addition to visualising pleural effusion, thoracic ultrasound also helps clinicians to identify the best puncture site and to guide the drainage insertion procedure. Thoracic ultrasound is essential during these invasive manoeuvres to increase safety and decrease potential life-threatening complications. This paper provides a technical description of pigtail-type drainage insertion using thoracic ultrasound, paying particular attention to indications, contraindications, ultrasound guidance, preparation/equipment, procedure and complications.

Indexed as

Pleural drainagePleural effusionThoracic ultrasoundUltrasound guidance

Identifiers

PMID30066098
PMCPMC6068051

What OpenQuestion holds

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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.