Evidence map›Paper›PMID 39280900›Full record

ArticleJournal of the Royal Statistical Society. Series C, Applied statistics2024

Multivariate longitudinal analysis for the association between brain atrophy and cognitive impairment in prodromal Huntington's disease subjects.

Cheng Zheng, Lili Tong, Ying Zhang

Abstract read
In one paragraph

Article in Journal of the Royal Statistical Society. Series C, Applied statistics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Cheng ZhengDepartment of Biostatistics, University of Nebraska Medical Center, Omaha, Nebraska, 68198, USA.
Lili TongDepartment of Biostatistics, University of Nebraska Medical Center, Omaha, Nebraska, 68198, USA.
Ying ZhangDepartment of Biostatistics, University of Nebraska Medical Center, Omaha, Nebraska, 68198, USA.

Funding

Tracking and Evaluation CoreU54GM115458 · NIGMS · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI ZHANG, YING · 2016 to 2025
$42.8M
Statistical disease modeling and clinimetrics to prepare for preventive trials in huntington diseaseR01NS103475 · NINDS · UNIVERSITY OF IOWA · PI PAULSEN, JANE S, ZHANG, YING · 2017 to 2018
$1.2M
NIGMS NIH HHS U54 GM115458NINDS NIH HHS R01 NS103475
6 · The paper itself

Abstract

Cognitive impairment has been widely accepted as a disease progression measure prior to the onset of Huntington's disease. We propose a sophisticated measurement error correction method that can handle potentially correlated measurement errors in longitudinally collected exposures and multiple outcomes. The asymptotic theory for the proposed method is developed. A simulation study is conducted to demonstrate the satisfactory performance of the proposed two-stage fitting method and shows that the independent working correlation structure outperforms other alternatives. We conduct a comprehensive longitudinal analysis to assess how brain striatal atrophy affects impairment in various cognitive domains for Huntington's disease.

Indexed as

Disease Progression ModelingGeneralized Estimating EquationHuntington’s DiseaseLongitudinal DataMeasurement Error

Identifiers

PMID39280900
PMCPMC11393497

What OpenQuestion holds

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Registered trials

None linked

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.