Evidence map›Paper›PMID 36388233›Full record

ArticleFrontiers in neurology2022

The SON

Yu Ren, Zhongxiang He, Xiaoyan Du, Jie Liu, Li Zhou, Xue Bai, Yue Chen, Bowen Wu, Xiaosong Song, Libo Zhao and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 31% 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

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

  1. Pooled it
  2. Article
  3. 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

11 authors at 4 institutions in 1 country.

Yu RenDepartment of Neurology, Nanchong Central Hospital, Sichuan, China.
Zhongxiang HeHealth Manage Center, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Xiaoyan DuDepartment of Neurology, The Yongchuan Hospital of Chongqing Medical University, Chongqing, China.
Jie LiuDepartment of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Li ZhouDepartment of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Xue BaiDepartment of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Yue ChenDepartment of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Bowen WuDepartment of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Xiaosong SongDepartment of Neurology, The Ninth People's Hospital of Chongqing, Chongqing, China.
Libo ZhaoDepartment of Neurology, The Yongchuan Hospital of Chongqing Medical University, Chongqing, China.
Qin YangDepartment of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Chongqing Medical University · CNFirst Affiliated Hospital of Chongqing Medical University · CNNanchong Central Hospital · CNSecond Affiliated Hospital of Chongqing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: This study aimed to develop a score including novel putative predictors for predicting the risk of sICH and outcomes after thrombolytic therapy with intravenous (IV) recombinant tissue-type plasminogen activator (r-tPA) in acute ischemic stroke patients. Methods: All patients with acute ischemic stroke treated with IV r-tPA at three university-based hospitals in Chongqing, China, from 2014 to 2019 were retrospectively studied. Potential risk factors associated with sICH (NINDS criteria) were determined with multivariate logistic regression, and we developed our score according to the magnitude of logistic regression coefficients. The score was validated in another independent cohort. Area under the receiver operating characteristic curve (AUC-ROC) was used to assess the performance of the score. Calibration was evaluated using the Hosmer-Lemeshow goodness-of-fit method. Results: The SON Conclusion: The SON

Indexed as

ischemic strokeretrospective cohort studyrisk scoresymptomatic intracranial hemorrhagethrombolytic therapy

Identifiers

PMID36388233
PMCPMC9659729
OpenAlexW4307871577

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.