Evidence map›Paper›PMID 35355550›Full record

ArticleCureus2022

Detection of Iliopsoas Hematoma by Retrospective Radiography in Veno-Venous Extracorporeal Membrane Oxygenation for a COVID-19 Patient.

Soichi Ohta, Kohei Takahashi, Masayuki Iwashita, Takeru Abe, Ichiro Takeuchi

Open access · diamondAbstract readCase Reports
In one paragraph

Article in Cureus, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 97% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

5 authors at 2 institutions in 1 country.

Soichi OhtaAdvanced Critical Care and Emergency Center, Yokohama City University Medical Center, Yokohama, JPN.
Kohei TakahashiAdvanced Critical Care and Emergency Center, Yokohama City University Medical Center, Yokohama, JPN.
Masayuki IwashitaAdvanced Critical Care and Emergency Center, Yokohama City University Medical Center, Yokohama, JPN.
Takeru AbeAdvanced Critical Care and Emergency Center, Yokohama City University Medical Center, Yokohama, JPN.
Ichiro TakeuchiAdvanced Critical Care and Emergency Center, Yokohama City University Medical Center, Yokohama, JPN.
Yokohama City University · JPYokohama City University Medical Center · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In coronavirus disease 2019 (COVID-19), veno-venous extracorporeal membrane oxygenation (VV-ECMO) is used to manage respiratory distress. This study's key clinical question was whether COVID-19 could be complicated by hemorrhagic and thrombotic events, such as iliopsoas hematoma (IPH), during the management of ECMO and the method to quickly and effectively detect IPH. A 52-year-old man with fever and dyspnea was diagnosed with COVID-19 pneumonia. He warranted VV-ECMO management on day 9, which was successfully tapered off on day 18. On day 20, computed tomography revealed a unilateral iliopsoas hematoma that was successfully managed with conservative care. However, a retrospective review of abdominal radiography performed on day 14 revealed a positive left psoas sign. When managing severe COVID-19 patients with VV-ECMO, cautious anticoagulative care and abdominal X-ray findings are warranted when considering the diagnosis of iliopsoas hematoma, including circulatory instability, anemia, and pain associated with limb movement.

Indexed as

abdominal radiographycovid-19extracorporeal membrane oxygenationhemorrhageintensive care

Identifiers

PMID35355550
PMCPMC8957394
OpenAlexW4214771795

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.