Evidence map›Paper›PMID 39911457›Full record

ArticleFrontiers in neurology2025

Predicting prognosis using stroke-heart indicator: brain natriuretic peptide in patients with aneurysmal subarachnoid hemorrhage.

Jionghao Xue, Fa Lin, Minghao Liu, Wenxiong Song, Runting Li, Yu Chen, Jun Yang, Heze Han, Yitong Jia, Xiaolin Chen and 2 more

Abstract read
PubMed Full text at PMC Publisher
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. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
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

12 authors.

Jionghao Xue *Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Fa Lin *Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Minghao LiuDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Wenxiong SongDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Runting LiDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Yu ChenDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Jun YangDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Heze HanDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Yitong JiaDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Xiaolin ChenDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Rong WangDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Yuanli ZhaoDepartment of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aims to explore the correlation between brain natriuretic peptide (BNP) levels and prognosis in patients suffering from aneurysmal subarachnoid hemorrhage (aSAH). Methods: This retrospective study included patients diagnosed with aneurysmal subarachnoid hemorrhage (aSAH) at Beijing Tiantan Hospital between January 2015 and September 2021. Plasma BNP levels were measured upon admission and log-transformed to reduce skewness. Elevated BNP was defined as lgBNP ≥1.79 (equivalent to BNP ≥62 pg./mL). The primary outcome was poor prognosis, defined as a modified Rankin Scale (mRS) score ≥ 3 at 90 days. Univariable and multivariable logistic regression analyses were conducted to examine the association between BNP levels and prognosis. Additionally, we assessed the potential impact of incorporating BNP into a predictive model for poor prognosis. Results: The statistical analysis encompassed a total of 932 patients. Among them, 171 individuals experienced unfavorable prognosis (mRS ≥3) during follow-up, and 444 patients had elevated BNP levels, defined as lgBNP ≥1.79. After accounting for confounding factors, elevated BNP levels remained a significant independent risk factor of a poor prognosis ( Conclusion: Elevated BNP levels independently forecast unfavorable prognosis in patients with aSAH, even though the cutoff value is lower than the cardiology standards. Continuous monitoring and personalized hospitalization plans can be vital for these patients.

Indexed as

ASAHbnpretrospective studiesrisk factorsstroke heart disease

Identifiers

PMID39911457
PMCPMC11794076

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.