Evidence map›Paper›PMID 31083190›Full record

ArticleMedicine2019

Treatment of intracranial hemorrhage with neuroendoscopy guided by body surface projection.

Shengli Qiu, Tao Liu, Guanghui Cao, Kun Wu, Tingsheng Zhao

Abstract readControlled Clinical Trial
In one paragraph

Article in Medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 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

5 authors.

Shengli QiuDepartment of neurosurgery, The Second People's Hospital of Hefei, Hefei Hospital Affiliated to Medical University of Anhui, Hefei, China.
Tao Liu
Guanghui Cao
Kun Wu
Tingsheng Zhao

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe aimed to study the feasibility of body surface projection in neuroendoscopic treatment of intracranial hemorrhage (ICH), and to evaluate the prognosis of muscle strength using diffusion tensor imaging (DTI) technique.

methodsWe utilized 3D-SLICER software and adopted hematoma body surface projection orientation to eliminate ICH by using neuroendoscope for 69 cases of spontaneous intracerebral hemorrhage. The standard of correct location was determined by the direct view of hematoma at the first operation. Evacuation rate by comparing computed tomography (CT) before and after the surgery and Glasgow coma scale (GCS) was computed. DTI was used for pyramidal tract imaging 3 weeks after the operation, while the prognosis of muscle strength was assessed after 6 months. The control group included 69 patients with basal ganglia hemorrhage who received conservative treatment during the same period.

resultsThe hematoma evacuation rate was 90.75% in average. The average GCS score rose by 4 points one week after the surgery. The shape of pyramidal tract affected the prognosis of body muscle strength, and the simple disruption type was the worst. There was no difference in mortality between the surgery group (10.1%) and the conservative group (4.3%). The muscle strength improvement value and modulate RANK score (MRS) in the surgery group were better than the control group.

conclusionIt is convenient and feasible to use the surface projection to determine the target of operation, and the clearance rate of hematoma is high. Pyramidal tract imaging can predict the prognosis of muscle strength.

Indexed as

AdultAgedDiffusion Tensor ImagingFeasibility StudiesFemaleHumansImaging, Three-DimensionalIntracranial Hemorrhage, HypertensiveMaleMiddle AgedMuscle StrengthNeuroendoscopyTomography, X-Ray Computed

Identifiers

PMID31083190
PMCPMC6531271

What OpenQuestion 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 OpenQuestion graph.