Evidence map›Paper›PMID 35884729›Full record

ReviewBrain sciences2022

Latest Trends in Outcome Measures in Dementia and Mild Cognitive Impairment Trials.

Divyani Garg, Anu Gupta, Ayush Agarwal, Biswamohan Mishra, Madakasira Vasantha Padma Srivastava, Aneesh Basheer, Venugopalan Y Vishnu

Open access · goldAbstract readReview
In one paragraph

Review in Brain sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
2.5field-weighted citation impact, top 10% of its field
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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 18 citations in OpenAlex.

  1. Pooled it
  2. Evaluating the Use of Anxiety Patient-Reported Outcome Measures (PROMs) in Dementia Clinical Trials: A Systematic Review.Health expectations : an international journal of public participation in health care and health policy · 2026
    Pooled it
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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

7 authors at 3 institutions in 1 country.

Divyani GargDepartment of Neurology, Vardhman Mahavir Medical College and Safdarjung Hospital, New Delhi 110029, India.
Anu GuptaDepartment of Neurology, All India Institute of Medical Sciences, New Delhi 110029, India.
Ayush AgarwalDepartment of Neurology, All India Institute of Medical Sciences, New Delhi 110029, India.
Biswamohan MishraDepartment of Neurology, All India Institute of Medical Sciences, New Delhi 110029, India.ORCID 0000-0001-7385-9121
Madakasira Vasantha Padma SrivastavaDepartment of Neurology, All India Institute of Medical Sciences, New Delhi 110029, India.
Aneesh BasheerDepartment of Medicine, DM Wayanad Institute of Medical Sciences (DM WIMS), Wayanad 673577, India.
Venugopalan Y VishnuDepartment of Neurology, All India Institute of Medical Sciences, New Delhi 110029, India.ORCID 0000-0002-3654-8137
All India Institute of Medical Sciences · INInstitute of Medical Sciences · INVardhman Mahavir Medical College & Safdarjung Hospital · IN

Funding

Indian Council of Medical Research 5/7/1704/CH/Adhoc/RBMCH2020
6 · The paper itself

Abstract

Disease modification trials in dementia and mild cognitive impairment (MCI) have not met with success. One potential criticism of these trials is the lack of sensitive outcome measures. A large number of outcome measures have been employed in dementia and MCI trials. This review aims to describe and analyze the utility of cognitive/clinical outcome measures in Alzheimer's disease (AD) and MCI trials.

Indexed as

ADAS-Cogdementiamild cognitive impairmentMMSEoutcome measures

Identifiers

PMID35884729
PMCPMC9313078
OpenAlexW4285594567

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.