Evidence map›Paper›PMID 37034067›Full record

ArticleFrontiers in neurology2023

Improving the models for prognosis of aneurysmal subarachnoid hemorrhage with the neutrophil-to-albumin ratio.

Renjie Zhang, Zheran Liu, Yu Zhang, Yiyan Pei, Yan He, Jiayi Yu, Chao You, Lu Ma, Fang Fang

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 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

9 authors.

Renjie ZhangDepartment of Neurosurgery, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
Zheran LiuDepartment of Biotherapy, Cancer Center, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
Yu ZhangCenter for Evidence-Based Medical and Clinical Research, Affiliated Hospital of Chengdu University, Chengdu, Sichuan, China.
Yiyan PeiDepartment of Biotherapy, Cancer Center, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
Yan HeDepartment of Biotherapy, Cancer Center, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
Jiayi YuSchool of Medical and Life Sciences, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China.
Chao YouDepartment of Neurosurgery, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
Lu MaDepartment of Neurosurgery, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
Fang FangDepartment of Neurosurgery, West China Hospital of Sichuan University, Chengdu, Sichuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Many peripheral inflammatory markers were reported to be associated with the prognosis of aneurysmal subarachnoid hemorrhage (aSAH). We aimed to identify the most promising inflammatory factor that can improve existing predictive models. Methods: The study was based on data from a 10 year retrospective cohort study at Sichuan University West China Hospital. We selected the well-known SAFIRE and Subarachnoid Hemorrhage International Trialists' (SAHIT) models as the basic models. We compared the performance of the models after including the inflammatory markers and that of the original models. The developed models were internally and temporally validated. Results: A total of 3,173 patients were included in this study, divided into the derivation cohort ( Conclusion: This study illustrated that among the inflammatory markers associated with aSAH prognosis, NAR could improve the SAFIRE and SAHIT models for 3 month mortality of aSAH.

Indexed as

intracranial aneurysmmortalityneutrophil-to-albumin ratioprediction modelsubarachnoid hemorrhage

Identifiers

PMID37034067
PMCPMC10079994

What Socratic 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 Socratic graph.