Evidence map›Paper›PMID 33173407›Full record

ArticleHealth services & outcomes research methodology2021

Harnessing real-world evidence to reduce the burden of noncommunicable disease: health information technology and innovation to generate insights.

Kelly H Zou, Jim Z Li, Lobna A Salem, Joseph Imperato, Jon Edwards, Amrit Ray

Open access · bronzeAbstract read
In one paragraph

Article in Health services & outcomes research methodology, 2021. 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
1.9field-weighted citation impact, top 11% of its field
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, 12 citations in OpenAlex.

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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

6 authors at 2 institutions in 1 country.

Kelly H ZouResearch, Development and Medical, Upjohn Division, Pfizer Inc, 235 East 42nd Street, MS 235-9-1, New York, NY 10017 USA.ORCID 0000-0001-6297-8184
Jim Z LiResearch, Development and Medical, Upjohn Division, Pfizer Inc, 10777 Science Center Drive, San Diego, CA 92121 USA.ORCID 0000-0001-7243-2636
Lobna A SalemResearch, Development and Medical, Upjohn Division, Pfizer Inc, 235 East 42nd Street, MS 235-9-1, New York, NY 10017 USA.
Joseph ImperatoResearch, Development and Medical, Upjohn Division, Pfizer Inc, 235 East 42nd Street, MS 235-9-1, New York, NY 10017 USA.
Jon EdwardsEnvision Pharma Group, Envision House, 5 North Street, Horsham, RH12 1XQ UK.
Amrit RayResearch, Development and Medical, Upjohn Division, Pfizer Inc, 500 Arcola Road, Collegeville, PA 19426 USA.ORCID 0000-0002-7902-2370
Pfizer (United States) · USEnvision Education · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Noncommunicable diseases (NCDs) are the leading causes of mortality and morbidity across the world and factors influencing global poverty and slowing economic development. We summarize how the potential power of real-world data (RWD) and real-world evidence (RWE) can be harnessed to help address the disease burden of NCDs at global, national, regional and local levels. RWE is essential to understand the epidemiology of NCDs, quantify NCD burdens, assist with the early detection of vulnerable populations at high risk of NCDs by identifying the most influential risk factors, and evaluate the effectiveness and cost-benefits of treatments, programs, and public policies for NCDs. To realize the potential power of RWD and RWE, challenges related to data integration, access, interoperability, standardization of analytical methods, quality control, security, privacy protection, and ethical standards for data use must be addressed. Finally, partnerships between academic centers, governments, pharmaceutical companies, and other stakeholders aimed at improving the utilization of RWE can have a substantial beneficial impact in preventing and managing NCDs.

Indexed as

Data scienceDisease burdenHealth information technologyNoncommunicable diseasePopulation healthReal-world dataReal-world evidenceRisk factors

Identifiers

PMID33173407
PMCPMC7646714
OpenAlexW3094882438

What OpenQuestion holds

Textmetadata
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.