Evidence map›Paper›PMID 37668997›Full record

ArticleJournal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism2023

Prediction of early neurological deterioration in acute ischemic stroke patients treated with intravenous thrombolysis.

Tian Tian, Lanjing Wang, Jiali Xu, Yujie Jia, Kun Xue, Shuangfeng Huang, Tong Shen, Yumin Luo, Sijie Li, Lianqiu Min

Abstract read
In one paragraph

Article in Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

24 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

10 authors.

Tian TianDepartment of Neurology, the First Affiliated Hospital of Jinzhou Medical University, Jinzhou, China.
Lanjing WangDepartment of Emergency, Xuanwu Hospital, Capital Medical University, Beijing, China.
Jiali XuDepartment of Emergency, Xuanwu Hospital, Capital Medical University, Beijing, China.ORCID 0000-0002-3651-4383
Yujie JiaDepartment of Neurology, the First Affiliated Hospital of Jinzhou Medical University, Jinzhou, China.
Kun XueDepartment of Neurology, the First Affiliated Hospital of Jinzhou Medical University, Jinzhou, China.
Shuangfeng HuangDepartment of Emergency, Xuanwu Hospital, Capital Medical University, Beijing, China.
Tong ShenDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.
Yumin LuoDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.
Sijie LiDepartment of Emergency, Xuanwu Hospital, Capital Medical University, Beijing, China.
Lianqiu MinDepartment of Neurology, the First Affiliated Hospital of Jinzhou Medical University, Jinzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A proportion of acute ischemic stroke (AIS) patients suffer from early neurological deterioration (END) within 24 hours following intravenous thrombolysis (IVT), which greatly increases the risk of poor prognosis of these patients. Therefore, we aimed to explore the predictors of early neurological deterioration of ischemic origin (END

Indexed as

Brain IschemiaIschemic StrokeStrokeFibrinolytic AgentsHumansThrombolytic TherapyFibrinolytic AgentsAcute ischemic strokeearly neurological deteriorationintravenous thrombolysisnomogramprediction model

Identifiers

PMID37668997
PMCPMC10925869

What Socratic 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 Socratic graph.