Evidence map›Paper›PMID 36435931›Full record

SynthesisActa neurochirurgica2023

Radiological predictors of shunt response in the diagnosis and treatment of idiopathic normal pressure hydrocephalus: a systematic review and meta-analysis.

Santhosh G Thavarajasingam, Mahmoud El-Khatib, Kalyan Vemulapalli, Hector A Sinzinkayo Iradukunda, Sajeenth Vishnu K, Robin Borchert, Salvatore Russo, Per K Eide

Registry-linked trialOpen access · hybridAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Acta neurochirurgica, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06857136 (The Role of the Glymphatic System Avaluated Thourgh mr Imaging in the Diagnosis and Management of NPH), which is not on this map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
4.0field-weighted citation impact, top 5% 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.

NCT06857136 completednot on this map

The Role of the Glymphatic System Avaluated Thourgh mr Imaging in the Diagnosis and Management of NPH

TypeobservationalSponsorFondazione I.R.C.C.S. Istituto Neurologico Carlo BestaRan2021 to 2024Enrolled29ConditionsHydrocephalus, Normal Pressure Hydrocephalus
3 · Its place in the literature

Who cites it

31 citing papers in PubMed, 1 synthesis or guideline pooled it, 44 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 4 institutions in 2 countries.

Santhosh G Thavarajasingam *Faculty of Medicine, Imperial College London, London, UK. sgt16@ic.ac.uk.ORCID 0000-0002-9274-0350
Mahmoud El-Khatib *Faculty of Medicine, Imperial College London, London, UK.
Kalyan VemulapalliFaculty of Medicine, Imperial College London, London, UK.
Hector A Sinzinkayo IradukundaFaculty of Medicine, Imperial College London, London, UK.
Sajeenth Vishnu KFaculty of Medicine, Imperial College London, London, UK.
Robin BorchertDepartment of Clinical Neurosciences, Cambridge University Hospital NHS Trust, Cambridge, UK.
Salvatore RussoDepartment of Neurosurgery, Imperial College Healthcare NHS Trust, London, UK.
Per K EideDepartment of Neurosurgery, Oslo University Hospital - Rikshospitalet, Oslo, Norway.
Imperial College London · GBCambridge University Hospitals NHS Foundation Trust · GBImperial College Healthcare NHS Trust · GBOslo University Hospital · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatients with the dementia subtype idiopathic normal pressure hydrocephalus (iNPH) may improve clinically following cerebrospinal fluid (CSF) diversion (shunt) surgery, though the predictors of shunt response remain debated. Currently, radiological features play an important role in the diagnosis of iNPH, but it is not well established which radiological markers most precisely predict shunt responsive iNPH.

objectiveTo conduct a systematic review and meta-analysis to identify radiological predictors of shunt responsiveness, evaluate their diagnostic effectiveness, and recommend the most predictive radiological features.

methodsEmbase, MEDLINE, Scopus, PubMed, Google Scholar, and JSTOR were searched for original studies investigating radiological predictors of shunt response in iNPH patients. Included studies were assessed using the ROBINS-1 tool, and eligible studies were evaluated using a univariate meta-analysis.

resultsOverall, 301 full-text papers were screened, of which 28 studies were included, and 26 different radiological features were identified, 5 of these met the inclusion criteria for the meta-analysis: disproportionately enlarged subarachnoid space (DESH), callosal angle, periventricular white matter changes, cerebral blood flow (CBF), and computerized tomography cisternography. The meta-analysis showed that only callosal angle and periventricular white matter changes significantly differentiated iNPH shunt responders from non-responders, though both markers had a low diagnostic odds ratio (DOR) of 1.88 and 1.01 respectively. None of the other radiological markers differentiated shunt responsive from shunt non-responsive iNPH.

conclusionCallosal angle and periventricular changes are the only diagnostically effective radiological predictors of shunt responsive iNPH patients. However, due to the DORs approximating 1, they are insufficient as sole predictors and are advised to be used only in combination with other diagnostic tests of shunt response. Future research must evaluate the combined use of multiple radiological predictors, as it may yield beneficial additive effects that may allow for more robust radiological shunt response prediction.

Indexed as

Hydrocephalus, Normal PressureCerebrospinal Fluid ShuntsHumansMagnetic Resonance ImagingRadiographyVentriculoperitoneal ShuntCallosal angleDESHEvan's IndexIdiopathic normal pressure hydrocephalusiNPHNormal pressure hydrocephalusNPHPredictPredictionRadiological markerRadiological predictorShunt response

Identifiers

PMID36435931
PMCPMC9922237
OpenAlexW4310021675

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.