Evidence map›Paper›PMID 40842652›Full record

ReviewFrontiers in aging neuroscience2025

Advancement in modeling of Alzheimer's disease: a comprehensive review of preclinical screening platforms.

Souvik Adak, Shivam Singh, Ridhi Jain, Abhilasha Tiwari, Binny Singh, Sumit Kumar, Ayushi Dadhwal, Avishek Chakroborty, Ashish Kumar Sharma, Ravindra Pal Singh and 1 more

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Frontiers in aging neuroscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 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

7 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Review
  5. Review
  6. Review
  7. Review
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

11 authors.

Souvik AdakNIMS Institute of Pharmacy, NIMS University, Jaipur, India.
Shivam SinghNIMS Institute of Pharmacy, NIMS University, Jaipur, India.
Ridhi JainNIMS Institute of Pharmacy, NIMS University, Jaipur, India.
Abhilasha TiwariNIMS Institute of Pharmacy, NIMS University, Jaipur, India.
Binny SinghNIMS Institute of Pharmacy, NIMS University, Jaipur, India.
Sumit KumarNIMS Institute of Pharmacy, NIMS University, Jaipur, India.
Ayushi DadhwalNIMS Institute of Pharmacy, NIMS University, Jaipur, India.
Avishek ChakrobortyNIMS Institute of Pharmacy, NIMS University, Jaipur, India.
Ashish Kumar SharmaNIMS Institute of Pharmacy, NIMS University, Jaipur, India.
Ravindra Pal SinghNIMS Institute of Pharmacy, NIMS University, Jaipur, India.
Rajesh Kumar SharmaNIMS Institute of Pharmacy, NIMS University, Jaipur, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alzheimer's disease (AD) is a chronic and progressive neurodegenerative condition that worsens with time and causes memory loss and cognitive impairment. For prompt intervention and management of AD, early detection is essential. Screening models play a crucial role in identifying individuals at risk of developing AD before the onset of noticeable clinical symptoms. This review summarizes a wide range of

Indexed as

Alzheimer’s diseaseAPPcognitive impairmentneurofibrillary tanglesscreening modelstau

Identifiers

PMID40842652
PMCPMC12364833

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.