Evidence map›Paper›PMID 42876885›Full record

ArticleAlzheimer's & dementia (New York, N. Y.)

How should the results of Alzheimer's disease treatment trials be communicated to colleagues, patients, and families?

Jemma Hazan, Simone Salemme, Kathy Y Liu, Robert Howard

Abstract read
In one paragraph

Article in Alzheimer's & dementia (New York, N. Y.). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Jemma HazanDivision of Psychiatry University College London London UK.ORCID https://orcid.org/0000-0002-7223-4768
Simone SalemmeDepartment of Biomedical, Metabolic and Neural Sciences University of Modena and Reggio Emilia Modena Italy.
Kathy Y LiuDivision of Psychiatry University College London London UK.
Robert HowardDivision of Psychiatry University College London London UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The approval of amyloid-lowering therapies for Alzheimer's disease (AD) has increased the importance of clearly and precisely communicating complex clinical trial findings to patients, caregivers, clinicians, and the wider public. Because the clinical relevance of the modest treatment effects observed on cognitive and functional rating scales, which served as primary trial outcome measures, is uncertain and difficult to interpret, these effects have been translated into alternative quantitative interpretations, such as relative slowing of decline and time-saved estimates, and supplemented with qualitative descriptions and patient or caregiver testimonials. In this perspective, we examine the advantages and limitations of these approaches, with a particular focus on time-saved approaches, and discuss the assumptions required to move beyond reliance on directly observed primary outcome data from clinical trials. We argue that alternative methods of communicating treatment effects may improve accessibility but introduce additional uncertainty and may lead patients and clinicians to overestimate the size of benefit because they will not appreciate some of the assumptions on which these methods are based. Clear and accurate communication of treatment benefits, risks, limitations, and evidential uncertainty is essential to support informed decision making and maintain public trust in AD research and treatment.

Indexed as

Alzheimer's diseaseclinical trialdementiadisease modificationtime savings

Identifiers

PMID42876885
PMCPMC13661734

What Socratic holds

Textmetadata
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 Socratic graph.