Evidence map›Paper›PMID 38706280›Full record

Trial reportThe journal of prevention of Alzheimer's disease2024

Who Benefited Most from the Internet-Based Conversational Engagement RCT (I-CONECT)? Application of the Personalized Medicine Approach to a Behavioral Intervention Study.

C-Y Wu, K Yu, S E Arnold, S Das, H H Dodge

Abstract readRandomized Controlled TrialMulticenter Study
In one paragraph

Trial report in The journal of prevention of Alzheimer's disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Trial
  2. Article
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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

5 authors.

C-Y WuChao-Yi Wu, 149 13th floor, 10-003C, Boston, MA, USA, chwu3@mgh.harvard.edu, 02129; 617-724-2428.
K Yu
S E Arnold
S Das
H H Dodge

Funding

Research Education ComponentP30AG062421 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI Christine S Ritchie · 2019 to 2026
$36.5M
Research Education ComponentP30AG066518 · NIA · OREGON HEALTH & SCIENCE UNIVERSITY · PI Zachary Beattie · 2020 to 2026
$28.6M
Conversational Engagement as a Means to Delay Onset AD: Phase II Administrative SupplementR01AG051628 · NIA · OREGON HEALTH & SCIENCE UNIVERSITY · PI DODGE, HIROKO HAYAMA · 2016 to 2020
$4.8M
Web-enabled social interaction to delay cognitive decline among seniors with MCI: Phase I Administrative SupplementR01AG056102 · NIA · OREGON HEALTH & SCIENCE UNIVERSITY · PI DODGE, HIROKO HAYAMA · 2017 to 2021
$4.6M
Identification of Mild Cognitive Impairment using Machine Learning from Language and Behavior MarkersRF1AG072449 · NIA · MICHIGAN STATE UNIVERSITY · PI DODGE, HIROKO HAYAMA, WANG, FEI · 2021 to 2023
$2.6M
Conversational Engagement as a Means to Delay Alzheimer's Disease OnsetR01AG033581 · NIA · OREGON HEALTH & SCIENCE UNIVERSITY · PI DODGE, HIROKO HAYAMA · 2010 to 2012
$1.5M
Identification of Mild Cognitive Impairment using Machine Learning from Language and Behavior MarkersR01AG072449 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI HIROKO Hayama DODGE, Fei Wang · 2025 to 2026
$1.4M
Examining the Longitudinal Influence of the Physical and Social Environments on Social Isolation and Cognitive Health: contextualizing the role of technology.K00AG068492 · NIA · UT SOUTHWESTERN MEDICAL CENTER · PI YU, KEXIN · 2022 to 2025
$345k
NIA NIH HHS K00 AG068492NIA NIH HHS P30 AG062421NIA NIH HHS P30 AG066518NIA NIH HHS R01 AG033581NIA NIH HHS R01 AG051628NIA NIH HHS R01 AG056102NIA NIH HHS R01 AG072449NIA NIH HHS RF1 AG072449
6 · The paper itself

Abstract

backgroundMany Alzheimer's Disease (AD) clinical trials have failed to demonstrate treatment efficacy on cognition. It is conceivable that a complex disease like AD may not have the same treatment effect due to many heterogeneities of disease processes and individual traits.

objectivesWe employed an individual-level treatment response (ITR) approach to determine the characteristics of treatment responders and estimated time saved in cognitive decline using the Internet-based Conversational Engagement Clinical Trial (I-CONECT) behavioral intervention study as a model. DESIGN AND

settingI-CONECT is a multi-site, single-blind, randomized controlled trial aimed to improve cognitive functions through frequent conversational interactions via internet/webcam. The experimental group engaged in video chats with study staff 4 times/week for 6 months; the control group received weekly 10-minute check-in phone calls.

participantsOut of 186 randomized participants, current study used 139 participants with complete information on both baseline and 6-month follow-up (73 with mild cognitive impairment (MCI), 66 with normal cognition; 64 in the experimental group, and 75 in the control group). MEASUREMENTS: ITR scores were generated for the Montreal Cognitive Assessment (MoCA) (global cognition, primary outcome) and Category Fluency Animals (CFA) (semantic fluency, secondary outcome) that showed significant efficacy in the trial. ITR scores were generated through 300 iterations of 3-fold cross-validated random forest models. The average treatment difference (ATD) curve and the area between the curves (ABC) were estimated to measure the heterogeneity of treatment responses. Responder traits were identified using SHapley Additive exPlanations (SHAP) and decision tree models. The time saved in cognitive decline was explored to gauge clinical meaningfulness.

resultsABC statistics showed substantial heterogeneity in treatment response with MoCA but modest heterogeneity in treatment response with CFA. Age, cognitive status, time spent with family and friends, education, and personality were important characteristics that influenced treatment responses. Intervention group participants in the upper 30% of ITR scores demonstrated potential delays of 3 months in semantic fluency (CFA) and 6 months in global cognition (MoCA), assuming a 5-fold faster natural cognitive decline compared to the control group during the post-treatment period.

conclusionsITR-based analyses are valuable in profiling treatment responders for features that can inform future trial design and clinical practice. Reliably measuring time saved in cognitive decline is an area of ongoing research to gain insight into the clinical meaningfulness of treatment.

Indexed as

Alzheimer DiseaseCognitive DysfunctionPrecision MedicineAgedAged, 80 and overBehavior TherapyFemaleHumansInternetMaleSingle-Blind Methoddelay in cognitive declinerandom forestRespondersSHapley Additive exPlanations (SHAP)treatment heterogeneity

Identifiers

PMID38706280
PMCPMC11061034

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.