Evidence map›Paper›PMID 41322027›Full record

ArticleMedComm2025

Tissue Kallikrein as a Mediator in Stroke Outcomes among Patients With Metabolic Syndrome: A Multicenter Study Integrating Big Data and Biomarkers.

Hang Ruan, Xiao Ran, Ting-Ting Xu, Da-Yong Li, Fang Luo, Shu-Sheng Li, Dao-Wen Wang, Qin Zhang

Abstract read
In one paragraph

Article in MedComm, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  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

8 authors.

Hang RuanDepartment of Critical-Care Medicine Tongji Hospital Tongji Medical College Huazhong University of Science and Technology Wuhan China.
Xiao RanDepartment of Critical-Care Medicine Tongji Hospital Tongji Medical College Huazhong University of Science and Technology Wuhan China.
Ting-Ting XuDepartment of Critical-Care Medicine Tongji Hospital Tongji Medical College Huazhong University of Science and Technology Wuhan China.
Da-Yong LiDepartment of Critical-Care Medicine Tongji Hospital Tongji Medical College Huazhong University of Science and Technology Wuhan China.
Fang LuoDepartment of Anesthesiology Hubei Key Laboratory of Geriatric Anesthesia and Perioperative Brain Health and Wuhan Clinical Research Center For Geriatric Anesthesia Tongji Hospital Tongji Medical College Huazhong University of Science and Technology Wuhan China.
Shu-Sheng LiDepartment of Critical-Care Medicine Tongji Hospital Tongji Medical College Huazhong University of Science and Technology Wuhan China.
Dao-Wen WangThe Institute of Hypertension and Department of Internal Medicine Tongji Hospital Tongji Medical College Huazhong University of Science and Technology Wuhan China.
Qin ZhangDepartment of Anesthesiology Hubei Key Laboratory of Geriatric Anesthesia and Perioperative Brain Health and Wuhan Clinical Research Center For Geriatric Anesthesia Tongji Hospital Tongji Medical College Huazhong University of Science and Technology Wuhan China.ORCID https://orcid.org/0000-0002-5664-5823

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolic syndrome (MetS) poses a significant risk to the cerebrovascular system, impacting the prognosis of stroke patients. This study investigated the link between MetS and stroke-related outcomes, exploring tissue kallikrein 1 (KLK1) as a potential mediator. In the derivation cohort, a total of 17,106 stroke-diagnosed patients were assessed, with 6917 individuals (40.4%) presenting comorbid MetS. Multifactorial analysis identified stroke concurrent with MetS (adjusted odds ratio = 1.42; 95% confidence interval: 1.17-1.72;

Indexed as

big databioinformaticKLK1machine learningmetabolic syndromeobservational studiesstroke

Identifiers

PMID41322027
PMCPMC12657629

What OpenQuestion holds

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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.