Evidence map›Paper›PMID 29536211›Full record

ArticleThe AAPS journal2018

Why Drugs Fail in Late Stages of Development: Case Study Analyses from the Last Decade and Recommendations.

Dolly A Parasrampuria, Leslie Z Benet, Amarnath Sharma

Abstract read
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In one paragraph

Article in The AAPS journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
–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

33 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Regional effects of gantenerumab on neuroimaging biomarkers in the DIAN-TU-001 trial.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Trial
  3. Review
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  5. Article
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  12. Advances in Biomedical Applications of Solution Blow Spinning.International journal of molecular sciences · 2023
    Review
  13. Article
  14. Article
  15. Review
  16. Article
  17. Drug metabolism and disposition: the biological fate of chemicals · 2022
    Article
  18. Article
  19. Article
  20. 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

3 authors.

Dolly A ParasrampuriaGlobal Clinical Pharmacology, Janssen R&D, 1400 McKean Road, Spring House, PA, 19477, United States of America.
Leslie Z BenetDepartment of Bioengineering & Therapeutic Sciences, Schools of Pharmacy & Medicine University of California San Francisco (UCSF), 533 Parnassus Avenue, Room U-68, San Francisco, CA, 94143-0912, United States of America.
Amarnath SharmaGlobal Clinical Pharmacology, Janssen R&D, 1400 McKean Road, Spring House, PA, 19477, United States of America. asharm98@ITS.JNJ.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

New drug development is both resource and time intensive, where later clinical stages result in significant costs. We analyze recent late-stage failures to identify drugs where failures result from inadequate scientific advances as well as drugs where we believe pitfalls could have been avoided. These can be broadly classified into two categories: 1) where science is mature and the failures can be avoided through rigorous and prospectively determined decision-making criteria, scientific curiosity, and discipline to follow up on emerging findings; and 2) where problems encountered in Phase 3 failures cannot be explained at this time, as the science is not sufficiently advanced and companies/investigators need to recognize the possibility of deficiency of our knowledge. Through these case studies, key themes critical for successful drug development emerge-understanding the therapeutic pathway including receptor and signaling biology, pharmacological responses related to safety and efficacy, pharmacokinetics of the drug and exposure at target site, optimum dose, and dosing regimen; and identification of patient sub-populations likely to respond and will have a favorable benefit-risk profile, design of clinical trials, and a quantitative framework that can guide data-driven decision making. It is essential that the right studies are conducted early in the development process to answer the key questions, with the emphasis on learning in the early stages of development, whereas Phase 3 should be reserved for confirming the safety and efficacy. Utilization of innovative technology in identifying patients based on molecular signature of their disease, rapid assessment of pharmacological response, mechanistic modeling of emerging data, seamless operational processes to reduce start-up and wind-down time for clinical trials through use of electronic health records and data mining, and development of novel and objective clinical efficacy endpoints are some concepts for improving the success rate.

Indexed as

Drug DesignDrug TherapyTreatment FailureTreatment OutcomeAlzheimer DiseaseChemical and Drug Induced Liver InjuryClinical ProtocolsClinical Trials, Phase III as TopicDrug ApprovalHumansNeoplasmsPatient SelectionPharmacokineticsbiomarkerclinical trialdrug developmentefficacypharmacokineticssafety

Identifiers

What OpenQuestion holds

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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.