ReviewBioResearch open access2020
Biobanking for Translational Diabetes Research in India.
Review in BioResearch open access, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed.
- ICMR-MDRF Diabetes Biosamples: Cohort profile.The Indian journal of medical research · 2024Article
- A Strategic Research Framework for Defeating Diabetes in India: A 21st-Century Agenda.Journal of the Indian Institute of Science · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
India is declared as the diabetic capital of the world. Clinically well-annotated blood samples will advance diabetes research for better diagnostic and treatment methods. Building a disease-specific biobank with high-quality peripheral blood mononuclear cells (PBMCs) and clinical follow-up data system will serve as a good platform for clinical research in diabetes. Processing and storage of high-quality biospecimen for translational research in diabetes demand the implementation of good clinical laboratory practices. "Certification or accreditation programs" that improve biorepository processes and frameworks are lacking in Indian context. To sustain and translate the research into clinical practice, good governance of the biobank and financial resources is required. For ethical issues related to health needs of the people and participants in the research, issues related to research process, translational research, and commercialization, data sharing should be addressed. For India to be an innovation and sustainable country Indian government is supporting translational research facilities, including biobanks. India has developed biobanks for various diseases; however, diabetes-specific research biorepository is lacking. Given the dangers of diabetic burden, India should set up a diabetes disease-specific repository learning from the global organizations and customize to the needs of Indian context. It is important to have private agencies get involved to develop biobanks and future research as there are commercial goals to translate research into practice. New technologies of specimen storing and preservation, data management, and data sharing should be adopted for developing cost-effective long-standing disease-specific population biobank in India.
Indexed as
Identifiers
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.