Evidence map›Paper›PMID 30112460›Full record

ReviewContemporary clinical trials communications2018

Factors associated with clinical trials that fail and opportunities for improving the likelihood of success: A review.

David B Fogel

Registry-linked trialAbstract readReview
In one paragraph

Review in Contemporary clinical trials communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05885880 (Evaluating the Effectiveness of Blue-Button Automated Clinical Trial Prescreening on Regional Enrollment), which is not on this map. Cited by 510 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
510citing papers in PubMed, 8 pooled it
–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.

NCT05885880 naenrolling by invitationnot on this mapstarted 2023, after this paper: background citation

Evaluating the Effectiveness of Blue-Button Automated Clinical Trial Prescreening on Regional Enrollment: a Randomized Trial

TypeinterventionalSponsorAmerican Cancer Society Cancer Action NetworkRan2023 to 2026Enrolled1,050ConditionsCancerArmsBlue-button screening
3 · Its place in the literature

Who cites it

510 citing papers in PubMed, 8 syntheses or guidelines pooled it.

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  3. Social determinants of health in studies using PROMs to assess toxicities associated with immune checkpoint inhibitor treatment: a systematic review.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
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450 more citing papers are in PubMed but not listed here.

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

1 author.

David B FogelTrials.ai, 4520 Executive Dr., Suite 200, San Diego, CA, 92121, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Clinical trials are time consuming, expensive, and often burdensome on patients. Clinical trials can fail for many reasons. This survey reviews many of these reasons and offers insights on opportunities for improving the likelihood of creating and executing successful clinical trials. Literature from the past 30 years was reviewed for relevant data. Common patterns in reported successful trials are identified, including factors regarding the study site, study coordinator/investigator, and the effects on participating patients. Specific instances where artificial intelligence can help improve clinical trials are identified.

Indexed as

Clinical trialsEnrollmentPatient burdenPharmaceutical trialsRecruitmentRetention

Identifiers

PMID30112460
PMCPMC6092479

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.