Evidence map›Paper›PMID 40125398›Full record

ArticleFrontiers in neurology2025

Predictive and prognostic values of serum C1q/tumor necrosis factor-related protein 9 for first-ever ischemic stroke.

Yan-Qing Zhang, Hai-Feng Zhang, Xiao-Gang Liu, Rong Li

Abstract read
In one paragraph

Article in Frontiers in neurology, 2025. 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
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.

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

4 authors.

Yan-Qing ZhangDepartment of Anesthesiology, University Town Hospital of Chongqing Medical University, Chongqing, China.
Hai-Feng ZhangDepartment of Teaching and Experiment Center, Air Force Military Medical University, Xi'an, China.
Xiao-Gang LiuThe Key Laboratory of Biomedical Information Engineering of Ministry of Education of China, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, China.
Rong LiDepartment of Geriatrics, Xijing Hospital, The Fourth Military Medical University, Xi'an, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The C1q/Tumor Necrosis Factor-related Protein 9 (CTRP9) is a relatively novel adipokine having showed protection on cerebrovascular system. However, its clinical values have not been well established. This work is to evaluate CTRP9 as predictors of onset risk and outcome of ischemic stroke. Methods: One thousand one hundred and twenty-three patients undergoing first-ever ischemic stroke and 835 controls were enrolled. Serum CTRP9 was determined within 24 h after the onset. One thousand and twenty-six patients were successfully followed up for all-cause and cardiovascular deaths. Stepwise regression was conducted to screen the independent factors of stroke onset in the whole sample and mortality in the patient subgroup. Survival curves were plotted to evaluate the effect of baseline serum CTRP9 on 3-year all-cause and cardiovascular mortalities of stroke patients. Results: At baseline, prevalence of first-ever onset of ischemic stroke in high CTRP9 group was significantly lower than that in low CTRP9 group ( Conclusion: High serum CTRP9 exerted protection against first-ever onset of ischemic stroke in non-hyperlipidemic subjects, and also protected general stroke patients against all-cause and cardiovascular mortality at least 1 year post stroke onset. Our findings in this study may pinpoint both the predictive and prognostic values of CTRP9 as a promising biomarker.

Indexed as

adiponectinCTRP9ischemic strokemortalityprognosis

Identifiers

PMID40125398
PMCPMC11925783

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.