Feasibility of Extracting Key Elements from ClinicalTrials.gov to Support Clinicians' Patient Care Decisions.

Heejun Kim, Jiantao Bian, Javed Mostafa, Siddhartha Jonnalagadda, Guilherme Del Fiol

Abstract read

In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it

0cells of the map it votes in

2citing papers in PubMed, 1 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.

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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

Using Natural Language Processing to Measure and Improve Quality of Diabetes Care: A Systematic Review.Journal of diabetes science and technology · 2021
Pooled it
Interactive Visual Displays for Interpreting the Results of Clinical Trials: Formative Evaluation With Case Vignettes.Journal of medical Internet research · 2018
Article

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.

Heejun KimSchool of Information and Library Science, University of North Carolina, Chapel Hill,NC, USA.

Jiantao BianDepartment of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA.

Javed MostafaSchool of Information and Library Science, University of North Carolina, Chapel Hill,NC, USA.

Siddhartha JonnalagaddaDivision of Health and Biomedical Informatics, Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.

Guilherme Del FiolDivision of Health and Biomedical Informatics, Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.

Funding

UNIVERSITY OF UTAH MEDICAL INFORMATICS TRAININGT15LM007124 · NLM · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI Karen Louise Eilbeck · 1997 to 2026

$22.0M

Meeting Clinicians' Information Needs with Highly Tailored Knowledge SummariesR01LM011416 · NLM · UNIVERSITY OF UTAH · PI DEL FIOL, GUILHERME · 2013 to 2016

$1.3M

NLM NIH HHS R01 LM011416NLM NIH HHS T15 LM007124

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Databases, FactualInformation Storage and RetrievalPubMedAlgorithmsClinical Trials as TopicEvidence-Based MedicineFeasibility StudiesHumansPatient Care

Identifiers

PMID28269867

PMCPMC5333330

What OpenQuestion holds

Textmetadata

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.