Evidence map›Paper›PMID 35886214›Full record

ArticleInternational journal of environmental research and public health2022

Digital Health and Big Data Analytics: Implications of Real-World Evidence for Clinicians and Policymakers.

Teresa Magalhães, Ricardo Jorge Dinis-Oliveira, Tiago Taveira-Gomes

Abstract readEditorial
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–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

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  5. Review
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  7. Article
  8. Parental executive functions and motivations unveil variations in young children's screen media use.Psicologia, reflexao e critica : revista semestral do Departamento de Psicologia da UFRGS · 2024
    Article
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  10. Review
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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

3 authors.

Teresa MagalhãesDepartment of Public Health and Forensic Sciences, and Medical Education, Faculty of Medicine, University of Porto, 4200-319 Porto, Portugal.
Ricardo Jorge Dinis-OliveiraDepartment of Public Health and Forensic Sciences, and Medical Education, Faculty of Medicine, University of Porto, 4200-319 Porto, Portugal.ORCID 0000-0001-7430-6297
Tiago Taveira-GomesCenter for Health Technology and Services Research (CINTESIS), 4200-450 Porto, Portugal.ORCID 0000-0002-0998-6000

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Real world data (RWD) and real-world evidence (RWE) plays an increasingly important role in clinical research since scientific knowledge is obtained during routine clinical large-scale practice and not experimentally as occurs in the highly controlled traditional clinical trials. Particularly, the electronic health records (EHRs) are a relevant source of data. Nevertheless, there are also significant challenges in the correct use and interpretation of EHRs data, such as bias, heterogeneity of the population, and missing or non-standardized data formats. Despite the RWD and RWE recognized difficulties, these are easily outweighed by the benefits of ensuring the efficacy, safety, and cost-effectiveness in complement to the gold standards of the randomized controlled trial (RCT), namely by providing a complete picture regarding factors and variables that can guide robust clinical decisions. Their relevance can be even further evident as healthcare units develop more accurate EHRs always in the respect for the privacy of patient data. This editorial is an overview of the RWD and RWE major aspects of the state of the art and supports the Special Issue on "Digital Health and Big Data Analytics: Implications of Real-World Evidence for Clinicians and Policymakers" aimed to explore all the potential and the utility of RWD and RWE in offering insights on diseases in a broad spectrum.

Indexed as

Data ScienceElectronic Health RecordsBiasCost-Benefit AnalysisDelivery of Health CareHumansRandomized Controlled Trials as Topicbig datadigital healthhealthcarereal-world datareal-world evidence

Identifiers

PMID35886214
PMCPMC9325235

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.