Evidence map›Paper›PMID 42816518›Full record

Reviewnpj drug discovery2026

Personalized drug discovery from rare diseases to cancer.

Vladimir L Katanaev

Abstract readReview
In one paragraph

Review in npj drug discovery, 2026. 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

1 author.

Vladimir L KatanaevTranslational Oncology Research Center, Qatar Biomedical Research Institute, Hamad Bin Khalifa University, Doha, Qatar. vkatanaev@hbku.edu.qa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Precision medicine selects individual treatments from a small toolbox of therapies already available. Personalized drug discovery (PDD) brings this concept one step ahead, developing drugs for individual patient's diseases. Currently, PDD is being developed for rare disorders, where conventional drug discovery paradigms are non-applicable due to small patient sizes, but also for cancer. As a new frontier in precision medicine, PDD should be upscaled in rare and non-rare diseases.

Identifiers

PMID42816518
PMCPMC13627653

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.