Evidence map›Paper›PMID 37166743›Full record

ArticleTherapeutic innovation & regulatory science2023

Factors Affecting Success of New Drug Clinical Trials.

Eungdo Kim, Jaehoon Yang, Sungjin Park, Kwangsoo Shin

Abstract read
In one paragraph

Article in Therapeutic innovation & regulatory science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

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

  1. Pooled it
  2. Placebo-resistant gut bacteria:Frontiers in cellular and infection microbiology · 2024
    Trial
  3. Article
  4. Review
  5. Observational
  6. Article
  7. Article
  8. Review
  9. Article
  10. Review
  11. Article
  12. Review
  13. Revolutionizing antibiotic therapy: Polymyxin B and FeJournal of pharmaceutical analysis · 2025
    Article
  14. Article
  15. Review
  16. Review
  17. Article
  18. Review
  19. Review
  20. 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.

Eungdo Kim *Department of R&D Planning and Support, Biomedical Research Institute, Chungbuk National University Hospital, 776 1Sunhwan-ro, Seowon-Gu, Cheong-Ju, Chungbuk, 28644, Republic of Korea.
Jaehoon Yang *Advanced Institute of Convergence Technology, Seoul National University, 145 Gwanggyo-Ro, Yeongtong-Gu, Suwon, 16229, South Korea.
Sungjin ParkGraduate School of Biomedical Convergence, College of Medicine, Chungbuk National University, 1 Chungdae-ro, Seowon-gu, Cheongju, Chungbuk, 28644, Republic of Korea.
Kwangsoo ShinGraduate School of Public Health and Healthcare Management, The Catholic University of Korea, Banpo-Daero 222, Seocho-Gu, Seoul, 06591, Republic of Korea. ksshin@catholic.ac.kr.ORCID 0000-0003-2437-8166

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Clinical trials are an essential process in the development of new drugs. In spite of time-consuming processes and high costs, the overall success rate of clinical trials is only 7.9%, which is a high risk for biopharmaceutical companies. However, despite these huge risks, research on finding factors affecting clinical trials to overcome and manage to risks has been insufficient. Considering these characteristics of the pharmaceutical industry, this study investigated the factors affecting the success of sponsor-initiated clinical trials. The success factors investigated were categorized into four factors: quality of clinical trials, speed of clinical trials, relationship type, and communication. Logistic regression was performed to measure each factor by analyzing 24,295 cases of Phase 1 to 4 trials from ClinicalTrials.gov. Because of the analysis, the factors affecting the success of the clinical trials were varied according to each clinical phase and the drug types: New Molecular Entity (NME)/Biologics, and the success ratio in the quality variable affected the overall clinical trial phases. Additionally, the experience, speed, relationship type, and communication variables were also found to be statistically significant for the success of each phase and drug type.

Indexed as

CommunicationDrug IndustryDrug EvaluationBiological drugsClinical trialsNew drug developmentNew Molecular EntitySuccess factor

Identifiers

PMID37166743
PMCPMC10173933

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.