Evidence map›Paper›PMID 34865623›Full record

ReviewBMC medicine2021

Comparative effectiveness and safety of pharmaceuticals assessed in observational studies compared with randomized controlled trials.

Yoon Duk Hong, Jeroen P Jansen, John Guerino, Marc L Berger, William Crown, Wim G Goettsch, C Daniel Mullins, Richard J Willke, Lucinda S Orsini

Open access · goldAbstract readReview
In one paragraph

Review in BMC medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 4 pooled it
2.8field-weighted citation impact, top 8% 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

12 citing papers in PubMed, 4 syntheses or guidelines pooled it, 18 citations in OpenAlex.

  1. Correlation betweenFrontiers in immunology · 2026
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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

9 authors at 4 institutions in 2 countries.

Yoon Duk HongUniversity of Maryland School of Pharmacy, Baltimore, MD, USA. yhon039@umaryland.edu.
Jeroen P JansenDepartment of Clinical Pharmacy, School of Pharmacy, University of California-San Francisco, San Francisco, CA, USA.
John GuerinoIpsos Healthcare, Parsippany, NJ, USA.
Marc L BergerIndependent Consultant, New York, NY, USA.
William CrownThe Heller School for Social Policy and Management, Brandeis University, Waltham, MA, USA.
Wim G GoettschUtrecht Centre of Pharmaceutical Policy, Division of Pharmacoepidemiology and Clinical Pharmacology, Utrecht University, Utrecht, The Netherlands.
C Daniel MullinsUniversity of Maryland School of Pharmacy, Baltimore, MD, USA.
Richard J WillkeISPOR-The Professional Society for Health Economics and Outcomes Research, Lawrenceville, NJ, USA.
Lucinda S OrsiniCOMPASS Pathways plc, London, UK.
University of Maryland, Baltimore · USBrandeis University · USUniversity of California, San Francisco · USUtrecht University · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere have been ongoing efforts to understand when and how data from observational studies can be applied to clinical and regulatory decision making. The objective of this review was to assess the comparability of relative treatment effects of pharmaceuticals from observational studies and randomized controlled trials (RCTs).

methodsWe searched PubMed and Embase for systematic literature reviews published between January 1, 1990, and January 31, 2020, that reported relative treatment effects of pharmaceuticals from both observational studies and RCTs. We extracted pooled relative effect estimates from observational studies and RCTs for each outcome, intervention-comparator, or indication assessed in the reviews. We calculated the ratio of the relative effect estimate from observational studies over that from RCTs, along with the corresponding 95% confidence interval (CI) for each pair of pooled RCT and observational study estimates, and we evaluated the consistency in relative treatment effects.

resultsThirty systematic reviews across 7 therapeutic areas were identified from the literature. We analyzed 74 pairs of pooled relative effect estimates from RCTs and observational studies from 29 reviews. There was no statistically significant difference (based on the 95% CI) in relative effect estimates between RCTs and observational studies in 79.7% of pairs. There was an extreme difference (ratio < 0.7 or > 1.43) in 43.2% of pairs, and, in 17.6% of pairs, there was a significant difference and the estimates pointed in opposite directions.

conclusionsOverall, our review shows that while there is no significant difference in the relative risk ratios between the majority of RCTs and observational studies compared, there is significant variation in about 20% of comparisons. The source of this variation should be the subject of further inquiry to elucidate how much of the variation is due to differences in patient populations versus biased estimates arising from issues with study design or analytical/statistical methods.

Indexed as

Pharmaceutical PreparationsResearch DesignHumansObservational Studies as TopicRandomized Controlled Trials as TopicPharmaceutical PreparationsObservational dataPharmaceuticalsReal-world evidence

Identifiers

PMID34865623
PMCPMC8647453
OpenAlexW4200586016

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.