Evidence map›Paper›PMID 37193154›Full record

ArticleAmerican journal of translational research2023

Clinical characteristics and risk factors for in-hospital death due to cerebral venous sinus thrombosis in three medical centers over a 10-year period.

Yanyan Hu, Shizhong Zhang, Guojun Wang, Zhigang Wang, Hui Yuan

Open access · greenAbstract read
In one paragraph

Article in American journal of translational research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.8field-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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
  2. 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

5 authors at 3 institutions in 1 country.

Yanyan HuDepartment of Neurology, The Second Affiliated Hospital of Shandong First Medical University Taian 271016, Shandong, China.
Shizhong ZhangDepartment of Neurosurgery, The Affiliated Taian City Central Hospital of Qingdao University Taian 271000, Shandong, China.
Guojun WangDepartment of Neurosurgery, The Affiliated Taian City Central Hospital of Qingdao University Taian 271000, Shandong, China.
Zhigang WangDepartment of Neurosurgery, Qilu Hospital of Shandong University Qingdao 266035, Shandong, China.
Hui YuanDepartment of Neurology, The Second Affiliated Hospital of Shandong First Medical University Taian 271016, Shandong, China.
Affiliated Hospital of Taishan Medical University · CNTaian City Central Hospital · CNQilu Hospital of Shandong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesWe retrospectively described and analyzed clinical risk factors for in-hospital death due to cerebral venous thrombosis (CVT).

methodsA total of 172 CVT patients were seen over a 10-year period at three medical centers in China. Demographic and clinical characteristics, neuroimaging, treatment, and outcome data were collected and analyzed.

resultsThe 28-day in-hospital mortality rate was 4.1%. All seven deceased patients died of transtentorial herniation and were more likely to exhibit coma (42.86% vs. 3.64%,

conclusionsThe main cause of 28-day in-hospital CVT-associated death was a transtentorial hernia, and patients with risk factors such as ICH, coma, and DVS thrombosis were more likely to die. Endovascular treatment may be a safe and effective treatment for severe CVT when conventional management is inadequate.

Indexed as

Cerebral venous thrombosisdeathendovascular treatmentpoor prognosisrisk factors

Identifiers

PMID37193154
PMCPMC10182517
OpenAlexW4376871094

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.