Evidence map›Paper›PMID 40163152›Full record

ReviewNaunyn-Schmiedeberg's archives of pharmacology2025

A year in pharmacology: new drugs approved by the US Food and Drug Administration in 2024.

Zinnet Sevval Aksoyalp, Gizem Kayki-Mutlu, Leszek Wojnowski, Martin C Michel

Abstract readReview
In one paragraph

Review in Naunyn-Schmiedeberg's archives of pharmacology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Comparison of drug approvals of the FDA and EMA between 2013 and 2023.Naunyn-Schmiedeberg's archives of pharmacology · 2026
    Article
  3. 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

4 authors.

Zinnet Sevval Aksoyalp *Department of Pharmacology, Faculty of Pharmacy, Izmir Katip Celebi University, Izmir, Turkey.
Gizem Kayki-Mutlu *Department of Pharmacology, Faculty of Pharmacy, Ankara University, Ankara, Turkey.
Leszek WojnowskiDepartment of Pharmacology, University Medical Center, Johannes Gutenberg University, Mainz, Germany.
Martin C MichelDepartment of Pharmacology, University Medical Center, Johannes Gutenberg University, Mainz, Germany. marmiche@uni-mainz.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The US Food and Drug Administration approved 50 new drugs and nine new cellular and gene therapy products in 2024, i.e., a total of 59 new medical therapies. The latter group represented three treatments each for oncology and hematology/immunotherapy, and one each for neurology, genetic disorders, and cardiovascular disorders. Oncology, hematology/immunotherapy, and neurological disorders (14, six, and seven, respectively) also were highly prevalent among classic medications. Looking at trends over the past 5 years, we observe a greater share in first-in-class medications, more fast-track approvals, and mRNA/gene/cell-based therapies. While small molecules remain the largest fraction, their percentage has been declining substantially over the past 5 years. Taking together, these findings testify to the commitment of the pharmaceutical industry for innovative treatments, including conditions for which no approved therapies existed. On the other hand, there also is a trend for approvals for narrowly focused conditions such as tumors defined by genetic alterations.

Indexed as

Drug ApprovalGenetic TherapyHumansUnited StatesUnited States Food and Drug AdministrationCell-based therapyFDAFirst-in-classGene therapyMonoclonal antibodyNew drugsNext-in-classOrphan drugsRare diseases

Identifiers

PMID40163152
PMCPMC11985671

What Socratic 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 Socratic graph.