Evidence map›Paper›PMID 35197827›Full record

ArticleFrontiers in cellular neuroscience2022

Cancer Related Subarachnoid Hemorrhage: A Multicenter Retrospective Study Using Propensity Score Matching Analysis.

Shijian Chen, Jian Zhang, Xianfu Lu, Gengyu Cen, Yiting Song, Xuhui Deng, Yiju Xie, Liuyu Liu, Qianqian Liu, Junling Huang and 5 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in cellular neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 47% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

15 authors at 4 institutions in 1 country.

Shijian ChenDepartment of Neurology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Jian ZhangDepartment of Neurology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Xianfu LuDepartment of Neurology, Fourth Affiliated Hospital of Guangxi Medical University, Liuzhou, China.
Gengyu CenDepartment of Neurology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Yiting SongDepartment of Neurology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Xuhui DengDepartment of Neurology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Yiju XieDepartment of Neurology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Liuyu LiuDepartment of Neurology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Qianqian LiuDepartment of Neurology, Fourth Affiliated Hospital of Guangxi Medical University, Liuzhou, China.
Junling HuangDepartment of Neurology, Fourth Affiliated Hospital of Guangxi Medical University, Liuzhou, China.
Jing LiDepartment of Neurology, Affiliated Tumor Hospital of Guangxi Medical University, Nanning, China.
Hong YangDepartment of Neurology, Fourth Affiliated Hospital of Guangxi Medical University, Liuzhou, China.
Shengliang ShiDepartment of Neurology, The Second Affiliated Hospital of Guangxi Medical University, Nanning, China.
Liya PanDepartment of Neurology, Fourth Affiliated Hospital of Guangxi Medical University, Liuzhou, China.
Zhijian LiangDepartment of Neurology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Fourth Affiliated Hospital of Guangxi Medical University · CNGuangxi Medical University · CNFirst Affiliated Hospital of GuangXi Medical University · CNTumor Hospital of Guangxi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate the clinical features, risk factors and underlying pathogenesis of cancer related subarachnoid hemorrhage (SAH).

methodsClinical data of SAH in patients with active cancer from January 2010 to December 2020 at four centers were retrospectively reviewed. Patients with active cancer without SAH were matched to SAH patients with active cancer group. Logistic regression was applied to investigate the independent risk factors of SAH in patients with active cancer, after a 1:1 propensity score matching (PSM). A receiver operator characteristic curve was configured to calculate the optimal cut-off value of the joint predictive factor for cancer related SAH.

resultsA total of 82 SAH patients with active cancer and 309 patients with active cancer alone were included. Most SAH patients with cancer had poor outcomes, with 30-day mortality of 41.5%, and with 90-day mortality of 52.0%. The PSM yielded 75 pairs of study participants. Logistic regression revealed that a decrease in platelet and prolonged prothrombin time were the independent risk factors of cancer related SAH. In addition, receiver operator characteristic curve of the joint predictive factor showed the largest AUC of 0.8131, with cut-off value equaling to 11.719, with a sensitivity of 65.3% and specificity of 89.3%.

conclusionPatients with cancer related SAH often have poor outcomes. The decrease in platelet and prolonged prothrombin time are the independent risk factors of cancer related SAH, and the joint predictive factor with cutoff value equal to 11.719 should hence serve as a novel biomarker of cancer related SAH.

Indexed as

cerebral hemorrhageneoplasmspropensity scorestrokesubarachnoid hemorrhage

Identifiers

PMID35197827
PMCPMC8859848
OpenAlexW4210920893

What OpenQuestion holds

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LicenceCC BY
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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.