Evidence map›Paper›PMID 35210834›Full record

ArticleInternational journal of general medicine2022

Risk Factors for Mortality Among Mechanically Ventilated Patients Requiring Pleural Drainage.

Sojung Park, Won-Young Kim, Moon Seong Baek

Open access · goldAbstract read
In one paragraph

Article in International journal of general medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 26% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Article
  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

3 authors at 2 institutions in 1 country.

Sojung ParkDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Mokdong Hospital, College of Medicine, Ewha Womans University, Seoul, Republic of Korea.ORCID 0000-0002-2731-8188
Won-Young KimDepartment of Internal Medicine, Chung-Ang University Hospital, Chung-Ang University College of Medicine, Seoul, Republic of Korea.
Moon Seong BaekDepartment of Internal Medicine, Chung-Ang University Hospital, Chung-Ang University College of Medicine, Seoul, Republic of Korea.ORCID 0000-0001-6455-0376
Chung-Ang University Hospital · KREwha Womans University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposePleural effusions are common in mechanically ventilated patients. However, the risk factors for poor outcomes after pleural drainage are poorly understood. This study aimed to identify factors that were associated with in-hospital mortality among mechanically ventilated patients who underwent pleural drainage.

methodsThis retrospective study evaluated 82 consecutive patients who required chest tubes during mechanical ventilation at two university-affiliated hospitals in Korea between January 2015 and June 2020.

resultsThe median age was 76 years (interquartile range [IQR]: 64-84 years), and the median SOFA score was 11 (IQR: 7-13). Intensive care unit admission was most commonly because of pneumonia (n = 44, 53.7%) and 60 patients (77.9%) had exudative pleural effusions. During pleural drainage, the PaO

conclusionAmong mechanically ventilated patients who required pleural drainage, use of vasopressors and CRRT was significantly associated with in-hospital mortality. On the third day of pleural drainage, the changes in PaO

Indexed as

drainagemechanical ventilationmortalitypleural fluid

Identifiers

PMID35210834
PMCPMC8858769
OpenAlexW4213345767

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.