Evidence map›Paper›PMID 41301354›Full record

ArticleBehavioral sciences (Basel, Switzerland)2025

Predictors of Transition from Mild Cognitive Impairment to Normal Cognition and Dementia.

Jiage Gao, Lin Liu, Zifeng Yang, Jialing Fan, For The Alzheimer's Disease Neuroimaging Initiative

Abstract read
In one paragraph

Article in Behavioral sciences (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. 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.

Jiage GaoInstitute of Psychological and Brain Sciences, Liaoning Normal University, Dalian 116029, China.
Lin LiuInstitute of Psychological and Brain Sciences, Liaoning Normal University, Dalian 116029, China.
Zifeng YangInstitute of Psychological and Brain Sciences, Liaoning Normal University, Dalian 116029, China.
Jialing FanInstitute of Psychological and Brain Sciences, Liaoning Normal University, Dalian 116029, China.
For The Alzheimer's Disease Neuroimaging Initiative

Funding

Education Department Project of Liaoning Province LJ212410165004Natural Science Foundation of Liaoning Province 2024-BS-160Ph.D. Start-up Project of Liaoning Normal University 2024BSL004
6 · The paper itself

Abstract

Mild cognitive impairment (MCI) represents a heterogeneous state between normal aging and dementia, with varied transition pathways. While factors influencing MCI progression are known, their role in cognitive reversal is unclear. This study analyzed 756 Alzheimer's Disease Neuroimaging Initiative (ADNI) participants, classified as progressive MCI (pMCI, N = 272, mean age = 75.10 ± 7.34 years), reversible MCI (rMCI, N = 52, mean age = 69.94 ± 7.98 years) and stable MCI (sMCI, N = 432, mean age = 73.34 ± 7.44 years) based on 36-month follow-up. We compared demographic, lifestyle, clinical, cognitive, neuroimaging, and biomarker data across groups and developed a prediction model. Patients in the rMCI group were significantly younger and had a higher level of education compared with those in the pMCI group. Memory, general cognition, daily functional activities, and hippocampal volume effectively distinguished all three groups. In contrast, Aβ, tau, and other brain regions were able to distinguish only between progressive and non-progressive cases. Informant-reported Everyday Cognition (Ecog) scales outperformed self-reported Ecog scales in differentiating subtypes and predicting progression. Multinomial regression revealed that higher education, larger hippocampal volume, and lower daily functional impairment were associated with reversion, whereas

Indexed as

cognitive measurehippocampusmild cognitive impairmentmultinomial logistic regressionpredictiontransition

Identifiers

PMID41301354
PMCPMC12649382

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.