Evidence map›Paper›PMID 37808495›Full record

ArticleFrontiers in neurology2023

CNS-LAND score: predicting early neurological deterioration after intravenous thrombolysis based on systemic responses and injury.

Huijuan Jin, Rentang Bi, Yifan Zhou, Qinghui Xiao, Min Li, Shuai Sun, Jinghua Zhou, Jichuan Hu, Ming Huang, Yanan Li and 5 more

Abstract read
In one paragraph

Article in Frontiers in neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 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

7 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. SPRINFrontiers in neurology · 2026
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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

15 authors.

Huijuan JinDepartment of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Rentang BiDepartment of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Yifan ZhouDepartment of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Qinghui XiaoDepartment of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Min LiDepartment of Neurology, The Second People's Hospital of China Three Gorges University, Yichang, China.
Shuai SunDepartment of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Jinghua ZhouDepartment of Neurology, The First Clinical Medical College of China Three Gorges University, Yichang, China.
Jichuan HuDepartment of Neurology, People's Hospital of Dongxihu District, Wuhan, China.
Ming HuangDepartment of Neurology, Hubei Provincial Hospital of Integrated Chinese and Western Medicine, Wuhan, China.
Yanan LiDepartment of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Candong HongDepartment of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Shengcai ChenDepartment of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Jiang ChangSchool of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Yan WanDepartment of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Bo HuDepartment of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Early neurological deterioration (END) is a critical complication in acute ischemic stroke (AIS) patients receiving intravenous thrombolysis (IVT), with a need for reliable prediction tools to guide clinical interventions. Objective: This study aimed to develop and validate a rating scale, utilizing clinical variables and multisystem laboratory evaluation, to predict END after IVT. Design setting and participants: The Clinical Trial of Revascularization Treatment for Acute Ischemic Stroke (TRAIS) cohort enrolled consecutive AIS patients from 14 stroke centers in China (Jan 2018 to Jun 2022). Outcomes: END defined as NIHSS score increase >4 points or death within 24 h of stroke onset. Results: 1,213 patients (751 in the derivation cohort, 462 in the validation cohort) were included. The CNS-LAND score, a 9-point scale comprising seven variables (CK-MB, NIHSS score, systolic blood pressure, LDH, ALT, neutrophil, and D-dimer), demonstrated excellent differentiation of END (derivation cohort C statistic: 0.862; 95% CI: 0.796-0.928) and successful external validation (validation cohort C statistic: 0.851; 95% CI: 0.814-0.882). Risk stratification showed END risks of 2.1% vs. 29.5% (derivation cohort) and 2.6% vs. 31.2% (validation cohort) for scores 0-3 and 4-9, respectively. Conclusion: CNS-LAND score is a reliable predictor of END risk in AIS patients receiving IVT.

Indexed as

acute ischemic strokeclinical interventionsearly neurological deteriorationintravenous thrombolysisscale

Identifiers

PMID37808495
PMCPMC10552779

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