Evidence map›Paper›PMID 36062225›Full record

ReviewSeminars in interventional radiology2022

Treating Recurrent Pleural Disease: A Review of Indications and Technique for Chemical Pleurodesis for the Interventional Radiologist.

Surbhi B Trivedi, Matthew Niemeyer

Open access · greenAbstract readReview
In one paragraph

Review in Seminars in interventional radiology, 2022. 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
0.5field-weighted citation impact, top 35% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  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

2 authors at 1 institution in 1 country.

Surbhi B TrivediDepartment of Radiology, University of Illinois Hospital and Health Sciences System, Chicago, Illinois.
Matthew NiemeyerDepartment of Radiology, University of Illinois Hospital and Health Sciences System, Chicago, Illinois.
University of Illinois Chicago · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pleural space diseases such as recurrent pleural effusion and pneumothorax inflict a significant symptomatic burden on patients. Guidelines and studies are available to guide best practices in the setting of refractory effusions, mostly in the setting of malignancy, and recurrent pneumothorax. Less data is available to guide management of refractory transudative effusions. Recurrent pleural effusions can be treated with tunneled pleural catheters or catheter-based pleurodesis. While refractory transudative effusions can benefit from tunneled pleural catheter, this is an area of ongoing research. Regarding recurrent pneumothorax, video-assisted thoracoscopic surgery (VATS) pleurodesis using mechanical or laser/argon beam coagulation is the most effective means of preventing recurrence. Catheter based pleurodesis, a less invasive means of administering chemical sclerosant via percutaneous thoracostomy tube, is only used when surgery is not an option. However, both approaches induce inflammation of the pleural space, resulting in adherence of the parietal and visceral pleura to prevent fluid or air re-accumulation. This article will discuss catheter based chemical pleurodesis geared toward the interventional radiologist, including a review of disease processes and indications, technique, and strategies to mitigate complications as well as a literature review comparing percutaneous chemical pleurodesis to other therapies.

Indexed as

interventional radiologymalignant effusionspontaneous pneumothoraxtalc pleurodesistunneled pleural catheter

Identifiers

PMID36062225
PMCPMC9433148
OpenAlexW4294667029

What OpenQuestion holds

Textmetadata
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.