ArticleThe Lancet regional health. Southeast Asia2024
Landscape of cancer clinical trials in India - a comprehensive analysis of the Clinical Trial Registry-India.
Article in The Lancet regional health. Southeast Asia, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Molecular dynamics reveal potential effects of novel VHL variants on VHL-Elongin C binding in ccRCC patients from Eastern India.Scientific reports · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Cancer is one of the leading causes of morbidity and mortality in India. Clinical trials are critical for driving innovation in cancer therapy, diagnosis, and prevention. This study aims to depict the evolving landscape of cancer clinical trials in India by analysing the clinical trials registered in Clinical Trial Registry-India (CTRI). Methods: We identified cancer trials registered in CTRI (between 2007 and 2021) using search terms adapted from the cancer types defined by the National Cancer Institute (USA). We then collated and analysed the publicly available information from CTRI (cancer subtypes, type of trial, treatment intent, type of intervention, sponsor type, recruitment countries) and used descriptive statistics to illustrate the overall as well as year-to-year trend. Findings: In total, we identified 1988 cancer trials, the majority of which focused on treating cancer (63%) and rest of the trials aimed at optimising the operational aspects of surgery (19%), mitigating treatment-related toxicity (10.6%), or treating cancer-related symptoms (7.8%). Focusing on trials with the intent of treating cancer, we found that most were investigating solid tumours as opposed to haematological malignancies with the most prominent cancer subtypes being breast cancer (17%), head and neck cancer (9.8%), lung cancer (9.6%), and cervical cancer (6.6%). The number of trials conducted in a given cancer subtype from our analysis overall correlated to the incidence, mortality, and 5-year prevalence of the respective cancer subtype in India; however, head and neck cancer and cervical cancer were underrepresented in trials as compared with the disease burden. The most common type of intervention was investigational drugs. The most common sponsor types were global pharmaceutical industry (26%) and research institution and hospital (26%). Despite a relatively high cancer burden, the availability of cancer trials in the Northeastern states of India was limited. Interpretation: There is a pressing need for clinical cancer research in India to be better aligned with the nation's healthcare needs and disease burden, focusing on prevalent and deadly cancers while ensuring the availability of clinical trials across geographic regions and underserved populations. Funding: Pi Health USA, a fully owned subsidiary of BeiGene Ltd.
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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.