Evidence map›Paper›PMID 31008069›Full record

ArticlePerspectives in clinical research

Conducting real-world evidence studies in India.

Arun Bhatt

Registry-linked trialAbstract read
In one paragraph

Article in Perspectives in clinical research. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07362407 (Analysis of the Therapeutic and Clinical Profile of Cannabinoid Treatments), which is not on this map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–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.

NCT07362407 enrolling by invitationnot on this map

Analysis of the Therapeutic and Clinical Profile of Cannabinoid Treatments: A Real-World Study (CANAREAL)

Typeobservational_patient_registrySponsorSanta Catarina Federal UniversityRan2026 to 2026Enrolled384ConditionsChronic Pain, Depression Disorders, Anxiety Disorders, Quality of LifeArmsParticipants are followed while using cannabis-based products (such as CBD or THC oils, extracts, or isolates) as prescribed by their own physicians for therapeutic purposes.
3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Role of probiotics in preventingFrontiers in medicine · 2023
    Review
  6. Article
  7. Article
  8. Review
  9. Introduction to real-world evidence studies.Perspectives in clinical research
    Article
  10. Review
  11. Article
  12. 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

1 author.

Arun BhattConsultant - Clinical Research and Development, Mumbai, Maharashtra, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Real-world data (RWD) are data relating to patients' health status and/or the delivery of health care routinely collected from a variety of sources. Real-world evidence (RWE) is the clinical evidence regarding the usage and potential benefits or risks of a medical product derived from analysis of RWD. RWE can provide information on diverse areas, for example, natural history and course of disease, effectiveness studies, outcome research, and safety surveillance. India has unique opportunity of conducting RWE studies in several interesting areas, for example, natural history of communicable and noncommunicable diseases and rare disease and Health Economics and Outcomes Research in public versus private hospitals. However, utility of RWE is challenged by diversity of information, large data sets of uncertain quality, and methodological rigor. For India, there are additional challenges in conducting RWE studies - Indian clinical practice pattern and physicians' interest in RWE studies. It is recommended that RWE studies in India should focus on health management issues of relevance to the country India and should be well planned to generate high-quality data.

Indexed as

Qualityreal-world evidenceregistry

Identifiers

PMID31008069
PMCPMC6463503

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
Read underepoch 390

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.