Evidence map›Paper›PMID 41168612›Full record

ArticleNeurocritical care2026

Timing of Treatment and Long-Term Outcomes in Poor-Grade Aneurysmal Subarachnoid Hemorrhage: A Multicenter Analysis.

Bangyue Wang, Tianxing Li, Ruyi Wang, Guosong He, Zhihao Zhang, Yanfen Chai, Xinyu Yang, Faming Pan, Bing Zhao

Abstract readMulticenter Study
PubMed Publisher
In one paragraph

Article in Neurocritical care, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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.

Bangyue Wang *Department of Neurosurgery, The Second Affiliated Hospital of Anhui Medical University, Hefei, China.
Tianxing Li *Department of Neurosurgery, Tianjin Medical University General Hospital, Tianjin, China.
Ruyi Wang *Department of Emergency Surgery, The First Affiliated Hospital of Bengbu Medical University, Bengbu, China.
Guosong HeDepartment of Emergency Surgery, The First Affiliated Hospital of Bengbu Medical University, Bengbu, China.
Zhihao ZhangDepartment of Emergency Surgery, The First Affiliated Hospital of Bengbu Medical University, Bengbu, China.
Yanfen ChaiDepartment of Emergency Medicine, Tianjin Medical University General Hospital, Tianjin, China.
Xinyu Yang *Department of Neurosurgery, Tianjin Medical University General Hospital, Tianjin, China. yangxinyu@tmu.edu.cn.
Faming Pan *Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China. famingpan@ahmu.edu.cn.
Bing Zhao *Department of Neurosurgery, The Second Affiliated Hospital of Anhui Medical University, Hefei, China. aydzhb@126.com.

Funding

Natural Science Foundation of Tianjin 20JCZDJC00300The Second Affiliated Hospital of Anhui Medical University Science and Technology Emerging Talents Enhancement Program 2024PY07Tianjin Medical University Clinical Research Program 2018kylc008Tianjin Medical University General Hospital Clinical Research Program 22ZYYLCCG07
6 · The paper itself

Abstract

backgroundPoor-grade aneurysmal subarachnoid hemorrhage (aSAH), defined as World Federation of Neurosurgical Societies (WFNS) grades IV-V on admission, is associated with high mortality and disability. Although treatment initiation within 72 h is commonly recommended, the differential efficacy of specific subintervals during this therapeutic window (e.g., < 12 h, 12-24 h, and 24-72 h) has not been established. This study aims to determine the optimal timing of treatment of poor-grade aSAH using a large multicenter cohort.

methodsThis cohort study included 990 cases of poor-grade (defined as WFNS grades IV-V on admission) aSAH identified retrospectively across 12 centers. Patients were classified into three different treatment time windows: < 12 h (n = 320), 12-23 h (n = 220), and ≥ 24 h (n = 450) after symptom onset. Outcomes included mortality, unfavorable outcome (modified Rankin scale [mRS] scores 3-6), and dependency (mRS scores 3-5) at follow-up. Cox proportional hazards regression models and competing risk analyses were used to assess the association between treatment delay and outcomes.

resultsDuring a median follow-up of 34.3 months, mortality rates were 46.6% for < 12 h, 38.2% for 12-23 h, and 32.4% for ≥ 24 h. Cox regression analysis revealed that treatment delays of 12-23 h (adjusted hazard ratio 0.73, 95% confidence interval 0.55-0.95) and ≥ 24 h (adjusted hazard ratio 0.64, 95% confidence interval 0.51-0.81) were associated with lower all-cause mortality compared to treatment within 12 h. Additionally, treatment delay of ≥ 24 h was associated with lower aSAH-related mortality (adjusted hazard ratio 0.62, 95% confidence interval 0.47-0.81). No significant association was found for aSAH-unrelated mortality. These findings were consistent across various patient characteristics in subgroup analyses.

conclusionsOur findings indicate that treatment delay of less than 12 h after symptom onset was associated with increased mortality risk and exacerbated long-term clinical outcomes in patients with poor-grade aSAH in contemporary practice. However, the lack of control groups limits the generalizability of these data to clinical practice. Future prospective studies are warranted to confirm these results.

Indexed as

Outcome Assessment, Health CareSubarachnoid HemorrhageTime-to-TreatmentAdultAgedFemaleHumansMaleMiddle AgedRetrospective StudiesSeverity of Illness IndexTime FactorsAneurysmal subarachnoid hemorrhageMortalityPoor-gradeTimingTreatment delay

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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.