Evidence map›Paper›PMID 34820791›Full record

ArticleMethods of information in medicine2022

A Semi-Automated Term Harmonization Pipeline Applied to Pulmonary Arterial Hypertension Clinical Trials.

Ryan J Urbanowicz, John H Holmes, Dina Appleby, Vanamala Narasimhan, Stephen Durborow, Nadine Al-Naamani, Melissa Fernando, Steven M Kawut

Open access · greenAbstract read
In one paragraph

Article in Methods of information in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 3 pooled it
1.0field-weighted citation impact, top 22% 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.

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

8 citing papers in PubMed, 3 syntheses or guidelines pooled it, 7 citations in OpenAlex.

  1. Pooled it
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  4. bioRxiv : the preprint server for biology · 2026
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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

8 authors at 1 institution in 1 country.

Ryan J UrbanowiczDepartment of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States.
John H HolmesDepartment of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States.
Dina ApplebyDepartment of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States.
Vanamala NarasimhanPerelman School of Medicine, University of Pennsylvania, Philadelphia, United States.
Stephen DurborowDepartment of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States.
Nadine Al-NaamaniDepartment of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, United States.
Melissa FernandoDepartment of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States.
Steven M KawutDepartment of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, United States.
University of Pennsylvania · US

Funding

Mentored Patient-Oriented Research in Pulmonary Arterial HypertensionK24HL103844 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI KAWUT, STEVEN M · 2011 to 2020
$1.6M
Obesity in Pulmonary Arterial HypertensionK23HL141584 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI AL-NAAMANI, NADINE · 2018 to 2022
$970k
NHLBI NIH HHS K23 HL141584NHLBI NIH HHS K24 HL103844
6 · The paper itself

Abstract

objectiveData harmonization is essential to integrate individual participant data from multiple sites, time periods, and trials for meta-analysis. The process of mapping terms and phrases to an ontology is complicated by typographic errors, abbreviations, truncation, and plurality. We sought to harmonize medical history (MH) and adverse events (AE) term records across 21 randomized clinical trials in pulmonary arterial hypertension and chronic thromboembolic pulmonary hypertension.

methodsWe developed and applied a semi-automated harmonization pipeline for use with domain-expert annotators to resolve ambiguous term mappings using exact and fuzzy matching. We summarized MH and AE term mapping success, including map quality measures, and imputation of a generalizing term hierarchy as defined by the applied Medical Dictionary for Regulatory Activities (MedDRA) ontology standard.

resultsOver 99.6% of both MH (

conclusionThis pipeline dramatically reduced the burden of manual annotation for MH and AE term harmonization and could be adapted to other data integration efforts.

Indexed as

Adverse Drug Reaction Reporting SystemsPulmonary Arterial HypertensionHumansRandomized Controlled Trials as Topic

Identifiers

PMID34820791
PMCPMC9978994
OpenAlexW3215911190

What OpenQuestion holds

Textmetadata
LicenceTDM
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.