Evidence map›Paper›PMID 33529354›Full record

ArticleClinical pharmacology and therapeutics2021

Real-World Evidence for Assessing Pharmaceutical Treatments in the Context of COVID-19.

Jessica M Franklin, Kueiyu Joshua Lin, Nicolle M Gatto, Jeremy A Rassen, Robert J Glynn, Sebastian Schneeweiss

Abstract read
In one paragraph

Article in Clinical pharmacology and therapeutics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

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  15. Use of Open Claims vs Closed Claims in Health Outcomes Research.Journal of health economics and outcomes research · 2023
    Article
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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.

Jessica M FranklinDivision of Pharmacoepidemiology and Pharmacoeconomics, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.ORCID 0000-0002-8941-4116
Kueiyu Joshua LinDivision of Pharmacoepidemiology and Pharmacoeconomics, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.ORCID 0000-0003-4564-3715
Nicolle M GattoAetion, Inc., New York, New York, USA.ORCID 0000-0002-9659-7811
Jeremy A RassenAetion, Inc., New York, New York, USA.ORCID 0000-0003-4369-7381
Robert J GlynnDivision of Pharmacoepidemiology and Pharmacoeconomics, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Sebastian SchneeweissDivision of Pharmacoepidemiology and Pharmacoeconomics, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.ORCID 0000-0003-2575-467X

Funding

Randomized Cardiovascular Trials Duplicated Using Prospective Longitudinal Insurance Claims: Applying Techniques of Epidemiology (RCT DUPLICATE)R01HL141505 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI SCHNEEWEISS, SEBASTIAN G., WANG, SHIRLEY · 2019 to 2023
$3.6M
Aetion, IncDivision of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's HospitalNHLBI NIH HHS R01 HL141505
6 · The paper itself

Abstract

The emergence and global spread of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has resulted in an urgent need for evidence on medical interventions and outcomes of the resulting disease, coronavirus disease 2019 (COVID-19). Although many randomized controlled trials (RCTs) evaluating treatments and vaccines for COVID-19 are already in progress, the number of clinical questions of interest greatly outpaces the available resources to conduct RCTs. Therefore, there is growing interest in whether nonrandomized real-world evidence (RWE) can be used to supplement RCT evidence and aid in clinical decision making, but concerns about nonrandomized RWE have been highlighted by a proliferation of RWE studies on medications and COVID-19 outcomes with widely varying conclusions. The objective of this paper is to review some clinical questions of interest, potential data types, challenges, and merits of RWE in COVID-19, resulting in recommendations for nonrandomized RWE designs and analyses based on established RWE principles.

Indexed as

COVID-19 Drug TreatmentAngiotensin-Converting Enzyme InhibitorsCOVID-19 VaccinesDrug Therapy, CombinationEvidence-Based MedicineHumansHydroxychloroquineInsurance Claim ReviewMacrolidesResearch DesignSARS-CoV-2Severity of Illness IndexTime FactorsAngiotensin-Converting Enzyme InhibitorsCOVID-19 VaccinesHydroxychloroquineMacrolides

Identifiers

PMID33529354
PMCPMC8014840

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.