Evidence map›Paper›PMID 21122172›Full record

ArticleAlzheimer's research & therapy2010

Use of theragnostic markers to select drugs for phase II/III trials for Alzheimer disease.

Henrik Zetterberg, Niklas Mattsson, Kaj Blennow, Bob Olsson

Abstract read
In one paragraph

Article in Alzheimer's research & therapy, 2010. 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

4 authors.

Henrik ZetterbergDepartment of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at University of Gothenburg, S-431 80 Mölndal, Sweden. henrik.zetterberg@gu.se.
Niklas Mattsson
Kaj Blennow
Bob Olsson

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In a slowly progressive disorder like Alzheimer disease, evaluation of the clinical effect of novel drug candidates requires large numbers of patients and extended treatment periods. Current cell- and animal-based disease models of Alzheimer disease are poor at predicting a positive treatment response in patients. To help bridge the gap between disease models and large and costly clinical trials with high failure rates, biomarkers for the intended biochemical drug effect may be of value. Such biomarkers may be called 'theragnostic'. Here, we review the literature addressing the prospective value of these biomarkers.

Identifiers

PMID21122172
PMCPMC3031878

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.