Evidence map›Paper›PMID 30348228›Full record

ArticleSystematic reviews2018

A study of the value of requesting information from drug manufacturers for systematic reviews; 9 years of experience from the drug effectiveness review project.

Marian S McDonagh, Sujata Thakurta, Kim Peterson

Abstract read
In one paragraph

Article in Systematic reviews, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Marian S McDonaghThe Pacific Northwest Evidence-based Practice Center, Department of Medical Informatics and Clinical Epidemiology, Oregon Health and Science University, 3181 SW Sam Jackson Park Road, Portland, OR, 97239, USA. mcdonagh@ohsu.edu.ORCID 0000-0002-6911-268X
Sujata ThakurtaDepartment of Veterans Affairs, Health Services Research and Development, VA Portland Health Care System, 3710 SW U.S. Veterans Hospital Road, Portland, OR, 97239, USA.
Kim PetersonDepartment of Veterans Affairs, Evidence-based Synthesis Program (ESP) Coordinating Center, VA Portland Health Care System, 3710 SW U.S. Veterans Hospital Road, Portland, OR, 97239, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSystematic reviews (SRs) depend on comprehensive searches for evidence to provide balanced, accurate results. Requesting published and unpublished studies from pharmaceutical manufacturers has been proposed as a method to engage industry stakeholders and potentially reduce reporting bias. The Drug Effectiveness Review Project (DERP) has been requesting such evidence since 2003; the purpose of this study was to retrospectively evaluate the type and impact of the evidence received.

methodsData from "dossiers" submitted by pharmaceutical manufacturers for a set of 40 SRs conducted for DERP from July 2006 to June 2015 were retrospectively evaluated. Characteristics of data submitted in dossiers, including numbers, types, and characteristics of studies submitted and then included in DERP SRs, were abstracted. Time trends, study quality, publication status, and whether the submission represented a unique study or supplemental data to a published study were assessed. The impact of this evidence on SR conclusions was assessed using dual review. Differences were resolved through a consensus.

resultsOver 9 years, 160 dossiers were received, relating to 40 DERP SRs. Out of 7360 studies/datasets submitted, 2.2% (160) were included in a SR. The ratio of submitted-to-included increased over time. Most were unique studies (23% were supplemental data sets), and almost 42% of the studies were unpublished. The majority of the studies were rated fair quality, with 7.3% rated good and 14% rated poor quality by the original SR authors. Considering all literature search sources, 7.2% of all studies included in the 40 SRs came from a dossier, and 16% of dossier studies were included in a meta-analysis. The dossier studies resulted in changes to conclusions in 42% of the SRs. Out of 46 unpublished unique studies included in a SR, 25 (54%) influenced the conclusions in favor of the manufacturers drug, 8% favored a competitor drug, and 40% favored neither. In 92% of cases favoring the manufacturer's drug, the dossier study was the only evidence for that drug in a specific population or outcome.

conclusionsIn SRs conducted for DERP, few studies submitted by pharmaceutical manufacturers were ultimately included in a SR. The included data helped to reduce reporting and publication bias by filling important gaps and in some cases led to altered conclusions.

Indexed as

Drug IndustryDrug TherapyPublication BiasBiasDatasets as TopicHumansInformation DisseminationInformation Seeking BehaviorResearch DesignResearch ReportRetrospective StudiesSystematic Reviews as TopicGray literaturePharmaceutical manufacturersPublication biasReporting biasSystematic reviews

Identifiers

PMID30348228
PMCPMC6198528

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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.