Evidence map›Paper›PMID 37803283›Full record

ArticleBMC anesthesiology2023

Left atrial appendage thrombus in an elderly patient with atrial fibrillation during non-cardiac surgery- a case report.

Yaru Li, Luyang Jiang, Lu Wang, Xinrui Yin, Qiaoyu Han, Yi Feng

Open access · goldAbstract readCase Reports
In one paragraph

Article in BMC anesthesiology, 2023. 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 73% 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 1 institution in 1 country.

Yaru LiDepartment of Anesthesiology, Peking University People's Hospital, 11 Xi Zhi Men South Street, Beijing, 100044, China.
Luyang JiangDepartment of Anesthesiology, Peking University People's Hospital, 11 Xi Zhi Men South Street, Beijing, 100044, China. jiangly1018@hotmail.com.
Lu WangDepartment of Anesthesiology, Peking University People's Hospital, 11 Xi Zhi Men South Street, Beijing, 100044, China.
Xinrui YinDepartment of Anesthesiology, Peking University People's Hospital, 11 Xi Zhi Men South Street, Beijing, 100044, China.
Qiaoyu HanDepartment of Anesthesiology, Peking University People's Hospital, 11 Xi Zhi Men South Street, Beijing, 100044, China.
Yi FengDepartment of Anesthesiology, Peking University People's Hospital, 11 Xi Zhi Men South Street, Beijing, 100044, China.
Peking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPerioperative newly developed left atrial appendage (LAA) thrombus is a rare but extremely challenging event for anesthesia management. It's important to identify and diagnose thrombosis in high-risk populations promptly. CASE PRESENTATION: In the case of an elderly patient with atrial fibrillation undergoing non-cardiac surgery, we recorded the findings before and after thrombosis during the operation using transesophageal echocardiography (TEE). Through timely detection of the thrombus and proactive management, a satisfactory therapeutic effect was ultimately achieved.

conclusionsClinicians should be aware of the potential risk of LAA clot formation during surgery, even if it was not detected preoperatively. And TEE is valuable for monitoring newly developed perioperative thrombosis.

Indexed as

Atrial AppendageAtrial FibrillationHeart DiseasesThrombosisAgedEchocardiography, TransesophagealFemaleHumansIntraoperativeLeft atrial appendageMonitoringThrombosisTransesophageal echocardiography

Identifiers

PMID37803283
PMCPMC10557309
OpenAlexW4387403830

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.