Evidence map›Paper›PMID 40115874›Full record

ArticleJAR life2025

Factors affecting participation in web-based Alzheimer's questionnaire surveys: Lessons from the Japanese trial-ready cohort.

Saki Nakashima, Kenichiro Sato, Yoshiki Niimi, Tatsushi Toda, Takeshi Iwatsubo

Abstract read
In one paragraph

Article in JAR life, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Saki NakashimaDepartment of Neurology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Kenichiro SatoDepartment of Neuropathology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Yoshiki NiimiUnit for Early and Exploratory Development, The University of Tokyo, Tokyo, Japan.
Tatsushi TodaDepartment of Neurology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Takeshi IwatsuboDepartment of Neuropathology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Web-based approach is considered helpful for the research focused on screening and early detection of individuals with preclinical Alzheimer's disease (AD); obtaining sufficient responses is critical to the success of such online study. Objectives: This study examined factors influencing response rates to an online survey about disease-modifying drugs for AD among participants in the Japanese Trial-Ready Cohort (J-TRC) webstudy. Design: This was a retrospective observational study. Settings: Online survey in Japan using Google Forms. Participants: We enrolled the eligible J-TRC webstudy participants who had registered before September 2023. We sent them an invitation e-mail including a questionnaire web address on November-December 2023, in order to conduct an online survey regarding their perceptions of disease-modifying therapy drug that was approved in July 2023, Japan. Measurements: We analyzed the impact of mailed day of the week (DOW), participant gender, age, employment status, and educational background with/without response to the invitation, quantified by the odds ratio of response. Results: Among approximately 10,400 J-TRC web study participants who sent invitation emails, the overall response rate was approximately 20 %, without significant influence depending on the DOW when the survey invitation was sent. Individuals who were older (50s-70s), retired, or had higher education levels were significantly more likely to respond, regardless of the DOW. Differences in response rates by sex/gender were observed, but were largely influenced by the employment status. Conclusions: In order to improve response rates and enhance data quality, these findings provide valuable insights for optimizing the design of future online studies/surveys in the field of AD and dementia, particularly for targeting cognitively unimpaired middle-aged and older populations.

Indexed as

Alzheimer's diseaseOnline surveyPreclinicalRecruitmentResponse rateTrial-Ready Cohort

Identifiers

PMID40115874
PMCPMC11925097

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.