Evidence map›Paper›PMID 38303588›Full record

Trial reportAnnals of clinical and translational neurology2024

A novel score to predict progression in anterior circulation single subcortical infarction patients.

Jing Lin, Shiying Ruan, Weipeng Sun, Liangbin Dong, Shumeng Li, Qin Huang, Xiaocheng Mao, Jinchong Zhang, Keji Zou, Hudie Zhang and 5 more

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Annals of clinical and translational neurology, 2024. 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 98% 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

15 authors at 2 institutions in 1 country.

Jing Lin *Department of Neurology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, 330000, China.ORCID 0000-0001-6272-1039
Shiying Ruan *Jiangxi Medical Center for Critical Public Health Events, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, 330000, China.
Weipeng Sun *Department of Occupational Health and Toxicology, School of Public Health, Nanchang University, Nanchang, Jiangxi, 330000, China.
Liangbin DongDepartment of Neurology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, 330000, China.
Shumeng LiDepartment of Neurology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, 330000, China.
Qin HuangDepartment of Neurology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, 330000, China.
Xiaocheng MaoDepartment of Neurology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, 330000, China.
Jinchong ZhangDepartment of Neurology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, 330000, China.
Keji ZouDepartment of Neurology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, 330000, China.
Hudie ZhangDepartment of Neurology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, 330000, China.
Pengcheng HuangDepartment of Neurology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, 330000, China.
Pu FangDepartment of Neurology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, 330000, China.
Xiaobing LiDepartment of Neurology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, 330000, China.
Yuhua FanDepartment of Neurology, National Key Clinical Department and Key Discipline of Neurology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, 510080, China.
Daojun HongDepartment of Neurology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, 330000, China.ORCID 0000-0003-1380-3534
Nanchang University · CNSun Yat-sen University · CN

Funding

Double Thousand Talents Program of Jiangxi Province jxsq2019101021National Natural Science Foundation of China 82101405Natural Science Foundation of Jiangxi Province 20212BAB216023
6 · The paper itself

Abstract

objectiveProgressive infarction (PI) has a negative effect on functional prognosis. Our study aimed to develop and validate a risk score for predicting PI in patients with anterior circulation single subcortical infarction (ACSSI).

methodsBetween January 2020 and October 2022, we retrospectively enrolled 638 eligible patients with ACSSI. Two-thirds of the eligible patients were randomly allocated to the training cohort (n = 425). Another resampling sample was formed through the bootstrap method and was used as the validation group (n = 425). Multivariate logistic regression analysis was used to identify the independent factors associated with PI. Each factor was then point assigned based on β-coefficient and a risk scoring system was developed. This scoring system was internally validated through 1000-bootstrap resamplings. The C-statistic and Hosmer-Lemeshow test were used to assess model discrimination and calibration.

resultsPI occurred in 121 patients, accounting for 19.0% of the total patients. A 7-point NTS score system based on the initial NIHSS score, triglyceride-glucose index, and the number of infarct slices on axial diffusion-weighted imaging was developed. The NTS score showed good discrimination and calibration in the training cohort (C-statistic = 0.686; p value of Hosmer-Lemeshow test = 0.797) and validation cohort (C-statistic = 0.681; p value of Hosmer-Lemeshow test = 0.451). The three risk levels for predicting PI in the training and validation cohorts based on NTS score were as follows: low (0-2, 9.6% vs. 9.3%), intermediate (3-5, 28.2% vs. 26.7%), and high risk (6-7, 60.2% vs. 57.4%).

interpretationThe NTS score is a valid and convenient risk score for predicting PI in ACSSI patients.

Indexed as

Cerebral InfarctionHumansPrognosisRetrospective StudiesRisk Factors

Identifiers

PMID38303588
PMCPMC10963299
OpenAlexW4391479903

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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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.