Evidence map›Paper›PMID 33178997›Full record

ArticleAME case reports2020

A rare case of severe pulmonary embolism revealed by consciousness disorders.

Jinling Wang, Daowei Yang, Yibin Xiu, Xianwei Huang, Xianghui Min, Juan Li

Open access · diamondAbstract readCase Reports
In one paragraph

Article in AME case reports, 2020. 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 90% 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

6 authors at 2 institutions in 1 country.

Jinling WangDepartment of Emergency, Zhongshan Hospital, Xiamen University, Xiamen, China.
Daowei YangDepartment of Emergency, Zhongshan Hospital, Xiamen University, Xiamen, China.
Yibin XiuDepartment of Emergency, Zhongshan Hospital, Xiamen University, Xiamen, China.
Xianwei HuangDepartment of Emergency, First Hospital, Xiamen University, Xiamen, China.
Xianghui MinDepartment of Emergency, Zhongshan Hospital, Xiamen University, Xiamen, China.
Juan LiDepartment of Emergency, Zhongshan Hospital, Xiamen University, Xiamen, China.
Zhongshan Hospital of Xiamen University · CNFirst Affiliated Hospital of Xiamen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Over the several years, only few cases of consciousness was diagnosed as pulmonary embolism in the world. The obstruction of the pulmonary arterial tree is viewed as the source of pulmonary embolism, and eventually trigger the severe cardiopulmonary failure. Diagnosis of pulmonary embolism is dependent on the imaging data, such as the computed tomographic detection. Above 50% of patients with pulmonary embolism are normotensive and they have neither echocardiographic nor laboratory signs of right heart dysfunction. Therefore, the precise prognosis of acute pulmonary embolism presented with rare characteristic is important to improve risk management. In some circumstance, the diagnosis of pulmonary embolism remains a challenge with atypical characterization presented in this case. A case report of this is given to accumulate the diagnostic experience for further analysis. Herein, we report a case of a severe pulmonary embolism that revealed by consciousness disorders. This report highlights the extracorporeal membrane oxygenation (ECMO) could be the only life-sustaining and the possibility of the solution treatment of acute pulmonary embolism.

Indexed as

case reportConsciousnesspulmonary embolism

Identifiers

PMID33178997
PMCPMC7608723
OpenAlexW3044161583

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.