Evidence map›Paper›PMID 23449762›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2013

Creation and implementation of a historical controls database from randomized clinical trials.

Jigar R Desai, Edward A Bowen, Mark M Danielson, Rajasekhar R Allam, Michael N Cantor

Registry-linked trialOpen access · greenAbstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03580616 (Tolerability and Efficacy of L-Serine in Patients With Amyotrophic Lateral Sclerosis), which is not on this map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
3.3field-weighted citation impact, top 7% 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.

NCT03580616 phase2terminatednot on this mapstarted 2018, after this paper: background citation

Tolerability and Efficacy of L-Serine in Patients With Amyotrophic Lateral Sclerosis: A Phase IIa Study

TypeinterventionalSponsorElijah W. StommelRan2018 to 2022Enrolled43ConditionsAmyotrophic Lateral Sclerosis (ALS)ArmsL-Serine
3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Refining gold from existing data.Current opinion in allergy and clinical immunology · 2014
    Review
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

5 authors at 1 institution in 1 country.

Jigar R DesaiWorldwide Research and Development BusinessTechnology, Pfizer, Inc., Groton, CT 06340, USA. jigar.desai2@pfizer.com
Edward A Bowen
Mark M Danielson
Rajasekhar R Allam
Michael N Cantor
Pfizer (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEthical concerns about randomly assigning patients to suboptimal or placebo arms and the paucity of willing participants for randomization into control and experimental groups have renewed focus on the use of historical controls in clinical trials. Although databases of historical controls have been advocated, no published reports have described the technical and informatics issues involved in their creation.

objectiveTo create a historical controls database by leveraging internal clinical trial data at Pfizer, focusing on patients who received only placebo in randomized controlled trials.

methodsWe transformed disparate clinical data sources by indexing, developing, and integrating clinical data within internal databases and archives. We focused primarily on trials mapped into a consistent standard and trials in the pain therapeutic area as a pilot.

resultsOf the more than 20,000 internal Pfizer clinical trials, 2404 completed placebo controlled studies with a parallel design were identified. Due to challenges with informed consent and data standards used in older clinical trials, studies completed before 2000 were excluded, yielding 1134 studies from which placebo subjects and associated clinical data were extracted.

conclusionsIt is technically feasible to pool portions of placebo populations through a stratification and segmentation approach for a historical placebo group database. A sufficiently large placebo controls database would enable previous distribution calculations on representative populations to supplement, not eliminate, the placebo arm of future clinical trials. Creation of an industry-wide placebo controls database, utilizing a universal standard, beyond the borders of Pfizer would add significant efficiencies to the clinical trial and drug development process.

Indexed as

Control GroupsDatabases as TopicAbstracting and IndexingHumansPlacebosRandomized Controlled Trials as TopicResearch DesignPlacebosePlaceboePlacebo DatabaseHistorical Controls Database

Identifiers

PMID23449762
PMCPMC3715354
OpenAlexW2098065973

What OpenQuestion holds

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Registered trials

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.