ArticleClinical and translational science2014
Tracking the pharmaceutical pipeline: clinical trials and global disease burden.
Article in Clinical and translational science, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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.
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.
Who cites it
6 citing papers in PubMed.
- Trends of Publication of Negative Trials Over Time.Clinical pharmacology and therapeutics · 2025Article
- Global burden of 369 diseases and injuries in 204 countries and territories, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019.Lancet (London, England) · 2020 · on this mapArticle
- Five insights from the Global Burden of Disease Study 2019.Lancet (London, England) · 2020Review
- Integrating molecular nuclear imaging in clinical research to improve anticancer therapy.Nature reviews. Clinical oncology · 2019Review
- Automatic classification of registered clinical trials towards the Global Burden of Diseases taxonomy of diseases and injuries.BMC bioinformatics · 2016Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Aggregate data about pharmaceutical research and development (R&D) tend to examine Phase III trials. Hence, there are few published data about investigational drugs in earlier phases of clinical development that might fail. It is also unclear how well R&D corresponds to disease burden. We track the pharmaceutical pipeline using data from industry publications that provide otherwise unreported information about industry-sponsored clinical trials. The sample includes 2,477 unique drug entities in 4,182 clinical trials. The majority of drugs targeted neoplasms (26.20%), neurological diseases/diseases of the sense organs (13.48%), infectious and parasitic diseases (10.5%), and endocrine, metabolic, nutrition, and immunity disorders (9.45%). Less than 6% of drugs targeted diseases of the circulatory system, which represent the most prevalent causes of global mortality. Detailing the pharmaceutical pipeline, our findings suggest that pharmaceutical development does not adequately address global disease burden. Future research on the under-reported details of Phase I and II clinical trials is needed to understand how the industry operates and how its resource-allocation matches global health concerns.
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What OpenQuestion holds
Registered trials
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.