Evidence map›Paper›PMID 39548214›Full record

ArticleScientific reports2024

The normalization trend of ventricular morphology after lateral ventricular tumor resection without additional diversion.

Heyuan Jia, Zhixu Bie, Yehong Fang, Zhixian Gao, Xingchao Wang

Abstract read
PubMed Full text at PMC Publisher
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 1 paper.

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

1 citing paper in PubMed.

  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

5 authors.

Heyuan Jia *Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Zhixu Bie *Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Yehong FangDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Zhixian GaoDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Xingchao WangDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China. wangxc@mail.ccmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Intraventricular tumors frequently provoke alterations in ventricular morphology. This study aims to quantificational assess perioperative dynamic fluctuations in the cerebrospinal fluid (CSF) volume within the lateral ventricles of patients harboring lateral ventricular tumors. A retrospective review encompassing 90 patients who underwent surgical intervention for lateral ventricular tumors at our institution was undertaken. Comprehensive observations at multiple perioperative time points were conducted, and LVCV analyses were performed to delineate the longitudinal dynamic alterations in ventricular morphology. Additionally, LVCV measurements were juxtaposed with data from 19 healthy subjects to stratify patients into two cohorts: those exhibiting preoperative increased LVCV and those without such changes. After surgical excision of intraventricular tumors, alterations in LVCV were compared between these cohorts, with a factor analysis undertaken specifically among patients demonstrating increased LVCV to elucidate potential influencing variables. 40 patients (44.4%) diagnosed with intraventricular tumors presenting with enlarged preoperative LVCV [74.6 (49.3-101.8) cm

Indexed as

Cerebral Ventricle NeoplasmsAdultAgedFemaleHumansLateral VentriclesMagnetic Resonance ImagingMaleMiddle AgedRetrospective StudiesYoung AdultCerebrospinal fluidHydrocephalusIntraventricular tumorLateral ventricular cerebrospinal fluid volumeSurgery

Identifiers

PMID39548214
PMCPMC11568170

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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.