Evidence map›Paper›PMID 22935759›Full record

ReviewNature reviews. Drug discovery2012

The determination and interpretation of the therapeutic index in drug development.

Patrick Y Muller, Mark N Milton

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Drug discovery, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 225 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
225citing papers in PubMed, 3 pooled it
30.4field-weighted citation impact, top 1% of its field
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

225 citing papers in PubMed, 3 syntheses or guidelines pooled it, 543 citations in OpenAlex.

  1. Pooled it
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  11. Lessons From Drug Discovery for Cryoprotective Agent Design: An AI-Oriented Perspective.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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  20. Discovery of a Novel DNMT1 Inhibitor with Improved Efficacy in Treating β-Thalassemia.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article

165 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 1 institution in 3 countries.

Patrick Y MullerNovartis Institutes for BioMedical Research, 250 Massachusetts Avenue, Cambridge, Massachusetts 02139, USA. patrick.mueller@novartis.com
Mark N Milton
Novartis (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A key part of drug discovery and development is the characterization and optimization of the safety and efficacy of drug candidates to identify those that have an appropriately balanced safety-efficacy profile for a given indication. The therapeutic index (TI)--which is typically considered as the ratio of the highest exposure to the drug that results in no toxicity to the exposure that produces the desired efficacy--is an important parameter in efforts to achieve this balance. Various types of safety and efficacy data are generated in vitro and in vivo (in animals and in humans), and these data can be used to predict the clinical TI of a drug candidate at an early stage. However, approaches to systematically and quantitatively compare these types of data and to apply this knowledge more effectively are needed. This article critically discusses the various aspects of TI determination and interpretation in drug development for both small molecule drugs and biotherapeutics.

Indexed as

Biomarkers, PharmacologicalDrug-Related Side Effects and Adverse ReactionsAnimalsDrug DiscoveryHumansPharmaceutical PreparationsTreatment OutcomeBiomarkers, PharmacologicalPharmaceutical Preparations

Identifiers

PMID22935759
OpenAlexW1965665318

What OpenQuestion 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 OpenQuestion graph.