Evidence map›Paper›PMID 38369533›Full record

ArticleScientific reports2024

Vascular compactness of unruptured brain arteriovenous malformation predicts risk of hemorrhage after stereotactic radiosurgery.

Po-Wei Huang, Syu-Jyun Peng, David Hung-Chi Pan, Huai-Che Yang, Jo-Ting Tsai, Cheng-Ying Shiau, I-Chang Su, Ching-Jen Chen, Hsiu-Mei Wu, Chung-Jung Lin and 5 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 19% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
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  3. Article
  4. Review
  5. Review
  6. Review
  7. 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 6 institutions in 3 countries.

Po-Wei HuangDepartment of Radiation Oncology, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan.
Syu-Jyun PengProgram in Artificial Intelligence in Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan.
David Hung-Chi PanDepartment of Neurosurgery, Neurological Institute, Taipei Veterans General Hospital, Taipei, Taiwan.
Huai-Che YangDepartment of Neurosurgery, Neurological Institute, Taipei Veterans General Hospital, Taipei, Taiwan.
Jo-Ting TsaiDepartment of Radiation Oncology, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan.
Cheng-Ying ShiauCancer Center, Taipei Veterans General Hospital, Taipei, Taiwan.
I-Chang SuDepartment of Neurosurgery, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan.
Ching-Jen ChenDepartment of Neurosurgery, University of Texas Health Science Center, Houston, TX, USA.
Hsiu-Mei WuDepartment of Radiology, Taipei Veterans General Hospital, Taipei, Taiwan.
Chung-Jung LinDepartment of Radiology, Taipei Veterans General Hospital, Taipei, Taiwan.
Wen-Yuh ChungDepartment of Neurosurgery, Neurological Institute, Taipei Veterans General Hospital, Taipei, Taiwan.
Wan-Yuo GuoDepartment of Radiology, Taipei Veterans General Hospital, Taipei, Taiwan.
Wei-Lun LoDepartment of Neurosurgery, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan.
Shao-Wen LaiProduct and Engineering, Zippin, San Carlos, CA, USA.
Cheng-Chia LeeDepartment of Neurosurgery, Neurological Institute, Taipei Veterans General Hospital, Taipei, Taiwan. yfnaughty@gmail.com.
National Yang Ming Chiao Tung University · TWTaipei Medical University-Shuang Ho Hospital · TWTaipei Veterans General Hospital · TWTaipei Medical University · TWThe University of Texas Health Science Center at Houston · USUniversidad San Carlos · PY

Funding

Ministry of Science and Technology, Taiwan 109-2314-B-075 -051 -MY2Ministry of Science and Technology, Taiwan 110-2314-B-075 -038 -MY2
6 · The paper itself

Abstract

The aim of the study was to investigate whether morphology (i.e. compact/diffuse) of brain arteriovenous malformations (bAVMs) correlates with the incidence of hemorrhagic events in patients receiving Stereotactic Radiosurgery (SRS) for unruptured bAVMs. This retrospective study included 262 adult patients with unruptured bAVMs who underwent upfront SRS. Hemorrhagic events were defined as evidence of blood on CT or MRI. The morphology of bAVMs was evaluated using automated segmentation which calculated the proportion of vessel, brain tissue, and cerebrospinal fluid in bAVMs on T2-weighted MRI. Compactness index, defined as the ratio of vessel to brain tissue, categorized bAVMs into compact and diffuse types based on the optimal cutoff. Cox proportional hazard model was used to identify the independent factors for post-SRS hemorrhage. The median clinical follow-ups was 62.1 months. Post-SRS hemorrhage occurred in 13 (5.0%) patients and one of them had two bleeds, resulting in an annual bleeding rate of 0.8%. Multivariable analysis revealed bAVM morphology (compact versus diffuse), bAVM volume, and prescribed margin dose were significant predictors. The post-SRS hemorrhage rate increased with larger bAVM volume only among the diffuse nidi (1.7 versus 14.9 versus 30.6 hemorrhage per 1000 person-years in bAVM volume < 20 cm

Indexed as

Intracranial Arteriovenous MalformationsRadiosurgeryAdultBrainFollow-Up StudiesHemorrhageHumansRetrospective StudiesTreatment OutcomeArteriovenous malformation morphologyAutomated segmentationCompactness indexPost-SRS hemorrhageStereotactic radiosurgeryVascular disorders

Identifiers

PMID38369533
PMCPMC10874940
OpenAlexW4391918972

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.