Evidence map›Paper›PMID 28499287›Full record

ArticleSexually transmitted diseases2017

Impact of Eligibility Criteria on Participant Enrollment for a Randomized Clinical Trial of Gonorrhea Treatment.

Jill E Long, Michael R Wierzbicki, Edward W Hook

Abstract read
In one paragraph

Article in Sexually transmitted diseases, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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.

Jill E LongFrom the *National Institute of Allergy and Infectious Diseases, Bethesda, MD; †The Emmes Corporation, Rockville, MD; and ‡Department of Medicine, University of Alabama at Birmingham, Birmingham, AL.
Michael R Wierzbicki
Edward W Hook

Funding

Intramural NIH HHS Z99 AI999999
6 · The paper itself

Abstract

backgroundHigh rates of failure to qualify for clinical trial participation increase time and cost required for study completion. Identification of remediable reasons for prescreen failure can help reduce prescreen failure rates and improve study cost effectiveness.

methodsReasons for prescreen failure to qualify for participation in a phase 2 randomized clinical trial of treatment of uncomplicated urogenital gonorrhea were collected from prescreening logs. Reasons were categorized based on whether the reason was that the subject failed to meet eligibility criteria or declined participation. Subjects who failed prescreening but could have been enrolled under protocol amendments were used to estimate potential cost savings had enrollment completed sooner.

resultsOver 88% (1373/1554) of potential study candidates were not enrolled. The majority (68.8%) of nonenrolled subjects failed prescreening due to not meeting eligibility criteria, whereas 31.0% declined to participate. The most common reasons for failure to qualify were having only nonurogenital gonorrhea (16.4%), limited time (13.1%), and being on antiretroviral therapy (7.5%). Potential cost savings if protocol amendments affecting eligibility had been instituted earlier were estimated at US $127,500.

conclusionsCareful attention to reasons for prescreen failure can inform clinical trial protocol development to address trial design features that may impact successful enrollment. More efficient subject enrollment can result in substantial cost savings.

Indexed as

Patient SelectionAlabamaAnti-Bacterial AgentsClinical Trials, Phase II as TopicCost-Benefit AnalysisGonorrheaHealth Services ResearchHumansMass ScreeningRandomized Controlled Trials as TopicAnti-Bacterial Agents

Identifiers

PMID28499287
PMCPMC5431289

What OpenQuestion holds

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Registered trials

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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.