Evidence mapPaperPMID 40916614Full record

ReviewMedical science monitor : international medical journal of experimental and clinical research2025

A Review of the Importance and Relevance of Real-World Data and Real-World Evidence.

Dinah V Parums

Abstract readReview
In one paragraph

Review in Medical science monitor : international medical journal of experimental and clinical research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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.

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

7 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Association Between Daily Steps Measured by Accelerometry and Diabetes in ELSA-Brasil Participants.International journal of environmental research and public health · 2026
    Article
  7. Editorial: Real-World Outcomes of Disease-Modifying Therapies Highlight the Need for Diagnostic Biomarkers in Early Alzheimer's Disease.Medical science monitor : international medical journal of experimental and clinical research · 2025
    Article
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.

Dinah V ParumsScience Editor, Medical Science Monitor, International Scientific Information, Inc., Melville, NY, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Real-world data are routinely collected data associated with patient health status or delivery of health care from sources including patient registries, electronic health records (EHRs), medical claims data, or digital health technologies. Real-world evidence is generated from specified clinical real-world data and includes evidence of the use, benefits, and risks of a medical product. Analysis of real-world data is the basis of real-world evidence to support the use and potential benefits or risks of a medical product. Also, real-world insights are generated when real-world evidence is interpreted or applied by different stakeholders in the healthcare industry to inform the planning of clinical research studies, identifying research questions, relevant patient or disease groups, disease trends over time, and evaluating the commercial viability of a study, which can improve healthcare planning and implementation. The importance of standardizing and regulating the conduct and reporting of real-world studies is highlighted by the increasing number of registered studies. This article aims to review the continued importance and relevance of real-world evidence from real-world studies and data to support and refine interpretations from controlled clinical trials.

Indexed as

Routinely Collected Health DataDelivery of Health CareDigital HealthElectronic Health RecordsHumansRegistriesResearch Design

Identifiers

PMID40916614
PMCPMC12400973

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.