Evidence map›Paper›PMID 35595938›Full record

ArticleChild's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery2022

Prediction of shunt failure facilitated by rapid and accurate volumetric analysis: a single institution's preliminary experience.

Tushar R Jha, Mark F Quigley, Khashayar Mozaffari, Orgest Lathia, Katherine Hofmann, John S Myseros, Chima Oluigbo, Robert F Keating

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Article in Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 52% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

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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

8 authors at 1 institution in 1 country.

Tushar R JhaDivision of Neurosurgery, Children's National Hospital, Washington, DC, USA.
Mark F QuigleyDivision of Neurosurgery, Children's National Hospital, Washington, DC, USA.
Khashayar MozaffariDivision of Neurosurgery, Children's National Hospital, Washington, DC, USA. kmozaffari2013@gmail.com.ORCID http://orcid.org/0000-0002-6848-4211
Orgest LathiaDivision of Neurosurgery, Children's National Hospital, Washington, DC, USA.
Katherine HofmannDivision of Neurosurgery, Children's National Hospital, Washington, DC, USA.
John S MyserosDivision of Neurosurgery, Children's National Hospital, Washington, DC, USA.
Chima OluigboDivision of Neurosurgery, Children's National Hospital, Washington, DC, USA.
Robert F KeatingDivision of Neurosurgery, Children's National Hospital, Washington, DC, USA.
Children's National · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundShunt malfunction is a common complication and often presents with hydrocephalus. While the diagnosis is often supported by radiographic studies, subtle changes in CSF volume may not be detectable on routine evaluation. The purpose of this study was to develop a novel automated volumetric software for evaluation of shunt failure in pediatric patients, especially in patients who may not manifest a significant change in their ventricular size.

methodsA single-institution retrospective review of shunted patients was conducted. Ventricular volume measurements were performed using manual and automated methods by three independent analysts. Manual measurements were produced using OsiriX software, whereas automated measurements were produced using the proprietary software. A p value < 0.05 was considered statistically significant.

resultsTwenty-two patients met the inclusion criteria (13 males, 9 females). Mean age of the cohort was 4.9 years (range 0.1-18 years). Average measured CSF volume was similar between the manual and automated methods (169.8 mL vs 172.5 mL, p = 0.56). However, the average time to generate results was significantly shorter with the automated algorithm compared to the manual method (2244 s vs 38.3 s, p < 0.01). In 3/5 symptomatic patients whose neuroimaging was interpreted as stable, the novel algorithm detected the otherwise radiographically undetectable CSF volume changes.

conclusionThe automated software accurately measures the ventricular volumes in pediatric patients with hydrocephalus. The application of this technology is valuable in patients who present clinically without obvious radiographic changes. Future studies with larger cohorts are needed to validate our preliminary findings and further assess the utility of this technology.

Indexed as

HydrocephalusAdolescentAlgorithmsChildChild, PreschoolCohort StudiesFemaleHumansInfantMaleRetrospective StudiesHydrocephalusShunt failureVolumetric analysis

Identifiers

PMID35595938
OpenAlexW4281260028

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.