Evidence map›Paper›PMID 35733946›Full record

ArticleNeurology. Clinical practice2022

CSF Biomarkers Predict Gait Outcomes in Idiopathic Normal Pressure Hydrocephalus.

Jacqueline A Darrow, Alexandria Lewis, Seema Gulyani, Kristina Khingelova, Aruna Rao, Jiangxia Wang, Yifan Zhang, Mark Luciano, Sevil Yasar, Abhay Moghekar

Registry-linked trialOpen access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Neurology. Clinical practice, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05915000 (Alterations of CSF Protein Markers as Prognostic Indicator of the Response to Cerebrospinal Fluid Shunting in Chronic Hydrocephalus in Adults), which is not on this map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.0field-weighted citation impact, top 14% 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.

NCT05915000 recruitingnot on this map

Alterations of CSF Protein Markers as Prognostic Indicator of the Response to Cerebrospinal Fluid Shunting in Chronic Hydrocephalus in Adults

TypeobservationalSponsorUniversity of ValenciaRan2019 to 2029Enrolled150ConditionsBeta-amiloid and Phospho-tau Proteins in CSF, Ventricular Size After CSF Shunt, Cognitive Impairment and CSF Shunt, Motor Impairment Evolution After CSF ShuntArmsLumbar CSF protein marker determination
3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 18 citations in OpenAlex.

  1. Association between p-tau181 in cerebrospinal fluid and shunt response in patients with normal-pressure hydrocephalus.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026
    Article
  2. Observational
  3. Article
  4. Implications of the glymphatic system in the diagnostic and surgical workup of normal pressure hydrocephalus.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025
    Article
  5. Article
  6. Review
  7. Article
  8. Cerebrospinal Fluid Biomarkers in iNPH: A Narrative Review.Diagnostics (Basel, Switzerland) · 2022
    Review
  9. Review
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

10 authors at 1 institution in 1 country.

Jacqueline A DarrowDepartment of Neurology (JAD, AL, SG, KK, AR, AM), Johns Hopkins University School of Medicine; Department of Biostatistics (JW, YZ), Johns Hopkins University Bloomberg School of Public Health; Department of Neurosurgery (ML), and Department of Medicine (SY), Johns Hopkins University School of Medicine, Baltimore, MD.ORCID https://orcid.org/0000-0001-9185-8667
Alexandria LewisDepartment of Neurology (JAD, AL, SG, KK, AR, AM), Johns Hopkins University School of Medicine; Department of Biostatistics (JW, YZ), Johns Hopkins University Bloomberg School of Public Health; Department of Neurosurgery (ML), and Department of Medicine (SY), Johns Hopkins University School of Medicine, Baltimore, MD.
Seema GulyaniDepartment of Neurology (JAD, AL, SG, KK, AR, AM), Johns Hopkins University School of Medicine; Department of Biostatistics (JW, YZ), Johns Hopkins University Bloomberg School of Public Health; Department of Neurosurgery (ML), and Department of Medicine (SY), Johns Hopkins University School of Medicine, Baltimore, MD.ORCID https://orcid.org/0000-0001-6290-4134
Kristina KhingelovaDepartment of Neurology (JAD, AL, SG, KK, AR, AM), Johns Hopkins University School of Medicine; Department of Biostatistics (JW, YZ), Johns Hopkins University Bloomberg School of Public Health; Department of Neurosurgery (ML), and Department of Medicine (SY), Johns Hopkins University School of Medicine, Baltimore, MD.
Aruna RaoDepartment of Neurology (JAD, AL, SG, KK, AR, AM), Johns Hopkins University School of Medicine; Department of Biostatistics (JW, YZ), Johns Hopkins University Bloomberg School of Public Health; Department of Neurosurgery (ML), and Department of Medicine (SY), Johns Hopkins University School of Medicine, Baltimore, MD.
Jiangxia WangDepartment of Neurology (JAD, AL, SG, KK, AR, AM), Johns Hopkins University School of Medicine; Department of Biostatistics (JW, YZ), Johns Hopkins University Bloomberg School of Public Health; Department of Neurosurgery (ML), and Department of Medicine (SY), Johns Hopkins University School of Medicine, Baltimore, MD.
Yifan ZhangDepartment of Neurology (JAD, AL, SG, KK, AR, AM), Johns Hopkins University School of Medicine; Department of Biostatistics (JW, YZ), Johns Hopkins University Bloomberg School of Public Health; Department of Neurosurgery (ML), and Department of Medicine (SY), Johns Hopkins University School of Medicine, Baltimore, MD.
Mark LucianoDepartment of Neurology (JAD, AL, SG, KK, AR, AM), Johns Hopkins University School of Medicine; Department of Biostatistics (JW, YZ), Johns Hopkins University Bloomberg School of Public Health; Department of Neurosurgery (ML), and Department of Medicine (SY), Johns Hopkins University School of Medicine, Baltimore, MD.
Sevil YasarDepartment of Neurology (JAD, AL, SG, KK, AR, AM), Johns Hopkins University School of Medicine; Department of Biostatistics (JW, YZ), Johns Hopkins University Bloomberg School of Public Health; Department of Neurosurgery (ML), and Department of Medicine (SY), Johns Hopkins University School of Medicine, Baltimore, MD.
Abhay MoghekarDepartment of Neurology (JAD, AL, SG, KK, AR, AM), Johns Hopkins University School of Medicine; Department of Biostatistics (JW, YZ), Johns Hopkins University Bloomberg School of Public Health; Department of Neurosurgery (ML), and Department of Medicine (SY), Johns Hopkins University School of Medicine, Baltimore, MD.ORCID https://orcid.org/0000-0001-9464-1551
Johns Hopkins University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Objectives: The assessment of biomarkers in selecting patients with idiopathic normal pressure hydrocephalus (iNPH) for shunt surgery has been limited to small cohort studies and those with limited follow-up. We assessed the potential for CSF biomarkers in predicting immediate response to CSF tap test (TT) and long-term response after shunt surgery. Methods: CSF was obtained from patients with iNPH referred for CSF TT after baseline assessment of cognition and gait. CSF neurofilament light (NfL), β-amyloid 42 (Aβ Results: Lower NfL, pTau181, tTau, and Aβ Discussion: A combination of CSF biomarkers can predict improvement following shunt surgery for iNPH. However, these measures only modestly discriminate responders from nonresponders following CSF TT. The findings further suggest that abnormal CSF biomarkers in nonresponders may represent comorbid neurodegenerative pathology or a predegenerative phase that presents with an iNPH phenotype.

Identifiers

PMID35733946
PMCPMC9208405
OpenAlexW4205731423

What OpenQuestion holds

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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.