Evidence map›Paper›PMID 39205499›Full record

ArticleCNS neuroscience & therapeutics2024

Impact of peripheral lymphocyte subsets on prognosis for patients after acute ischemic stroke: A potential disease prediction model approach.

Xin Zhou, Song Xue, Xiang-Kun Si, Wen-Yu Du, Ya-Nan Guo, Yang Qu, Zhen-Ni Guo, Xin Sun

Abstract read
In one paragraph

Article in CNS neuroscience & therapeutics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. CD4Frontiers in immunology · 2025
    Review
  5. Article
  6. 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

8 authors.

Xin ZhouDepartment of Neurology, Stroke Center, the First Hospital of Jilin University, Changchun, China.
Song XueDepartment of Neurology, Stroke Center, the First Hospital of Jilin University, Changchun, China.
Xiang-Kun SiDepartment of Neurology, Stroke Center, the First Hospital of Jilin University, Changchun, China.
Wen-Yu DuDepartment of Neurology, Stroke Center, the First Hospital of Jilin University, Changchun, China.
Ya-Nan GuoDepartment of Neurology, Stroke Center, the First Hospital of Jilin University, Changchun, China.
Yang QuDepartment of Neurology, Stroke Center, the First Hospital of Jilin University, Changchun, China.
Zhen-Ni GuoDepartment of Neurology, Stroke Center, the First Hospital of Jilin University, Changchun, China.
Xin SunDepartment of Neurology, Stroke Center, the First Hospital of Jilin University, Changchun, China.ORCID 0009-0008-7483-7766

Funding

Department of Science and Technology of Jilin Province YDZJ202301ZYTS520
6 · The paper itself

Abstract

aimsTo investigate the relationship between peripheral blood lymphocyte subsets and prognosis in patients with acute ischemic stroke (AIS).

methodsWe enrolled 294 patients with AIS and collected peripheral blood samples for analysis of lymphocyte subsets. Prognosis was assessed at 3 months using the modified Rankin Scale (mRS). Association between lymphocyte count and poor outcomes (mRS score >2) was assessed using logistic regression. Individualized prediction models were developed to predict poor outcomes.

resultsPatients in the mRS score ≤2 group had higher T-cell percentage (odds ratio [OR] = 0.947; 95% confidence interval [CI]: 0.899-0.998; p = 0.040), CD3

conclusionLower T cell percentage, CD3

Indexed as

Ischemic StrokeLymphocyte SubsetsAgedAged, 80 and overFemaleHumansLymphocyte CountMaleMiddle AgedPredictive Value of TestsPrognosisacute ischemic strokeimmune cellslymphocyte subsetsNIHSSprognosis

Identifiers

PMID39205499
PMCPMC11358587

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.