Evidence map›Paper›PMID 36627206›Full record

ArticlePharmaceutical statistics

Natural cubic splines for the analysis of Alzheimer's clinical trials.

Michael C Donohue, Oliver Langford, Philip S Insel, Christopher H van Dyck, Ronald C Petersen, Suzanne Craft, Gopalan Sethuraman, Rema Raman, Paul S Aisen, Alzheimer's Disease Neuroimaging Initiative

Abstract read
In one paragraph

Article in Pharmaceutical statistics. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Longitudinal Trajectories of the Cognitive Function Index in the A4 Study.The journal of prevention of Alzheimer's disease · 2024
    Trial
  4. Trial
  5. Trial of Solanezumab in Preclinical Alzheimer's Disease.The New England journal of medicine · 2023
    Trial
  6. Trial
  7. Article
  8. Cognitive Trajectories from Preclinical Alzheimer's Disease to Dementia.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
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.

Michael C DonohueAlzheimer's Therapeutic Research Institute, University of Southern California, San Diego, California, USA.ORCID 0000-0001-6026-2238
Oliver LangfordAlzheimer's Therapeutic Research Institute, University of Southern California, San Diego, California, USA.
Philip S InselDepartment of Psychiatry, University of California, San Francisco, California, USA.
Christopher H van DyckAlzheimer's Disease Research Unit, Yale School of Medicine, New Haven, Connecticut, USA.
Ronald C PetersenDepartment of Neurology, Mayo Clinic, Rochester, Minnesota, USA.
Suzanne CraftDepartment of Internal Medicine-Geriatrics, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA.
Gopalan SethuramanAlzheimer's Therapeutic Research Institute, University of Southern California, San Diego, California, USA.
Rema RamanAlzheimer's Therapeutic Research Institute, University of Southern California, San Diego, California, USA.
Paul S AisenAlzheimer's Therapeutic Research Institute, University of Southern California, San Diego, California, USA.
Alzheimer's Disease Neuroimaging Initiative

Funding

Project 1U19AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE/RES/EDU · PI MICHAEL W WEINER · 2016 to 2026
$226.7M
The Alzheimer's Clinical Trial Consortium - Down Syndrome Network (ACTC- DSN)U24AG057437 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Paul S. Aisen, RONALD C PETERSEN · 2018 to 2026
$198.4M
Alzheimer's Disease Neuroimaging Initiative - SupplementU01AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI WEINER, MICHAEL W · 2004 to 2015
$121.0M
TRIAL OF VALPROATE TO ATTENUATE THE PROGRESSION OF ADU01AG010483 · NIA · UNIVERSITY OF ROCHESTER · PI AISEN, PAUL S. · 1991 to 2012
$116.2M
RECRUITMENT COREU19AG010483 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI FELDMAN, HOWARD · 2013 to 2020
$80.6M
Vascular factors, physical activity, and inflammation as modulators of neurodegenerative and cognitive trajectories (Project 2)P01AG036694 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI Rebecca E Amariglio · 2010 to 2026
$50.2M
Research Education ComponentP30AG019610 · NIA · SUN HEALTH RESEARCH INSTITUTE · PI GONZALEZ HERNANDEZ, GRACIELA · 2001 to 2020
$32.5M
Anti-Amyloid Treatment in Asymptomatic Alzheimer's Disease (A4) Open-Label Extension StudyR01AG063689 · NIA · BRIGHAM AND WOMEN'S HOSPITAL · PI AISEN, PAUL S., SPERLING, REISA A. · 2019 to 2024
$30.8M
Yale Alzheimer Disease Research CenterP30AG066508 · NIA · YALE UNIVERSITY · PI STEPHEN M STRITTMATTER · 2020 to 2026
$30.2M
Research Education ComponentP30AG072980 · NIA · BANNER HEALTH · PI HEATHER Allyson BIMONTE-NELSON · 2021 to 2026
$24.9M
Wake Forest University School of Medicine Alzheimer's Disease Research CenterP30AG072947 · NIA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI SUZANNE CRAFT · 2021 to 2026
$24.3M
PET, APOE & the Preclinical Course of Alzheimer's DiseaseR01AG031581 · NIA · BANNER ALZHEIMER'S INSTITUTE · PI CASELLI, RICHARD J., REIMAN, ERIC MICHAEL · 2008 to 2018
$16.6M
NCATS NIH HHS UH3 TR000967NIA NIH HHS P01 AG036694NIA NIH HHS P30 AG019610NIA NIH HHS P30 AG066508NIA NIH HHS P30 AG072947NIA NIH HHS P30 AG072980NIA NIH HHS P30 AG19610NIA NIH HHS P50 AG047270NIA NIH HHS R01 AG031581NIA NIH HHS R01 AG063689NIA NIH HHS RF1 AG041845NIA NIH HHS U01 AG010483NIA NIH HHS U01 AG024904NIA NIH HHS U19 AG010483NIA NIH HHS U19 AG024904NIA NIH HHS U24 AG057437NIA NIH HHS UO1 AG10483
6 · The paper itself

Abstract

Mixed model repeated measures (MMRM) is the most common analysis approach used in clinical trials for Alzheimer's disease and other progressive diseases measured with continuous outcomes over time. The model treats time as a categorical variable, which allows an unconstrained estimate of the mean for each study visit in each randomized group. Categorizing time in this way can be problematic when assessments occur off-schedule, as including off-schedule visits can induce bias, and excluding them ignores valuable information and violates the intention to treat principle. This problem has been exacerbated by clinical trial visits which have been delayed due to the COVID19 pandemic. As an alternative to MMRM, we propose a constrained longitudinal data analysis with natural cubic splines that treats time as continuous and uses test version effects to model the mean over time. Compared to categorical-time models like MMRM and models that assume a proportional treatment effect, the spline model is shown to be more parsimonious and precise in real clinical trial datasets, and has better power and Type I error in a variety of simulation scenarios.

Indexed as

Alzheimer DiseaseCOVID-19Computer SimulationHumansModels, StatisticalResearch DesigncLDAconstrained longitudinal data analysisdisease progression modelsDPMmixed model repeated measuresMMRMnatural cubic splines

Identifiers

PMID36627206
PMCPMC10191992

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.