Evidence map›Paper›PMID 30840079›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2019

Patient free text reporting of symptomatic adverse events in cancer clinical research using the National Cancer Institute's Patient-Reported Outcomes version of the Common Terminology Criteria for Adverse Events (PRO-CTCAE).

Arlene E Chung, Kimberly Shoenbill, Sandra A Mitchell, Amylou C Dueck, Deborah Schrag, Deborah W Bruner, Lori M Minasian, Diane St Germain, Ann M O'Mara, Paul Baumgartner and 4 more

Abstract readMulticenter Study
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing 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

43 citing papers in PubMed.

  1. Trial
  2. Patient-Reported Outcomes During and After Treatment for Locally Advanced Rectal Cancer in the PROSPECT Trial (Alliance N1048).Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2023
    Trial
  3. Trial
  4. Article
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  6. Review
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  10. Using GPT-4o to interpret patient-reported outcomes without training.Journal of the National Cancer Institute · 2025
    Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
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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

14 authors.

Arlene E ChungDepartment of Medicine, University of North Carolina School of Medicine, Chapel Hill, North Carolina, USA.
Kimberly ShoenbillProgram on Health and Clinical Informatics, University of North Carolina School of Medicine, Chapel Hill, North Carolina, USA.
Sandra A MitchellNational Cancer Institute, Rockville, Maryland, USA.
Amylou C DueckAlliance Statistics and Data Center, Mayo Clinic, Scottsdale, Arizona, USA.
Deborah SchragDivision of Population Sciences, Department of Medical Oncology, Dana-Farber/Harvard Cancer Center, Brookline, Massachusetts, USA.
Deborah W BrunerNell Hodgson Woodruff School of Nursing, Winship Cancer Institute, Emory University, Atlanta, Georgia, USA.
Lori M MinasianNational Cancer Institute, Rockville, Maryland, USA.
Diane St GermainNational Cancer Institute, Rockville, Maryland, USA.
Ann M O'MaraNational Cancer Institute, Rockville, Maryland, USA.
Paul BaumgartnerSemantic Bits, LLC, Herndon, Virginia, USA.
Lauren J RogakDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Amy P AbernethyDepartment of Medicine, Duke Cancer Institute, Durham, North Carolina, USA.
Ashley C GriffinProgram on Health and Clinical Informatics, University of North Carolina School of Medicine, Chapel Hill, North Carolina, USA.
Ethan M BaschDepartment of Medicine, University of North Carolina School of Medicine, Chapel Hill, North Carolina, USA.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
Virology Research Program (Program 4)P30CA016086 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Deborah F. Tate · 1985 to 2026
$201.5M
North Carolina Translational & Clinical Sciences Institute (NC TraCS)KL2TR001109 · NCATS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BUSE, JOHN BERNARD, CAREY, TIMOTHY S · 2013 to 2017
$5.7M
An Interdisciplinary Program for Advanced Training in Health Data AnalyticsT15LM012500 · NLM · UNIV OF NORTH CAROLINA CHAPEL HILL · PI MOSTAFA, JAVED · 2017 to 2021
$2.9M
NCATS NIH HHS KL2 TR001109NCI NIH HHS HHSN261201000043CNCI NIH HHS HHSN261201000063CNCI NIH HHS P30 CA008748NCI NIH HHS P30 CA016086NLM NIH HHS T15 LM012500
6 · The paper itself

Abstract

objectiveThe study sought to describe patient-entered supplemental information on symptomatic adverse events (AEs) in cancer clinical research reported via a National Cancer Institute software system and examine the feasibility of mapping these entries to established terminologies. MATERIALS AND

methodsPatients in 3 multicenter trials electronically completed surveys during cancer treatment. Each survey included a prespecified subset of items from the National Cancer Institute's Patient-Reported Outcomes version of the Common Terminology Criteria for Adverse Events (PRO-CTCAE). Upon completion of the survey items, patients could add supplemental symptomatic AE information in a free text box. As patients typed into the box, structured dropdown terms could be selected from the PRO-CTCAE item library or Medical Dictionary for Regulatory Activities (MedDRA), or patients could type unstructured free text for submission.

resultsData were pooled from 1760 participants (48% women; 78% White) who completed 8892 surveys, of which 2387 (26.8%) included supplemental symptomatic AE information. Overall, 1024 (58%) patients entered supplemental information at least once, with an average of 2.3 per patient per study. This encompassed 1474 of 8892 (16.6%) dropdowns and 913 of 8892 (10.3%) unstructured free text entries. One-third of the unstructured free text entries (32%) could be mapped post hoc to a PRO-CTCAE term and 68% to a MedDRA term. DISCUSSION: Participants frequently added supplemental information beyond study-specific survey items. Almost half selected a structured dropdown term, although many opted to submit unstructured free text entries. Most free text entries could be mapped post hoc to PRO-CTCAE or MedDRA terms, suggesting opportunities to enhance the system to perform real-time mapping for AE reporting.

conclusionsPatient reporting of symptomatic AEs using a text box functionality with mapping to existing terminologies is both feasible and informative.

Indexed as

Drug-Related Side Effects and Adverse ReactionsPatient Reported Outcome MeasuresSoftwareAdultAdverse Drug Reaction Reporting SystemsAgedAged, 80 and overAntineoplastic AgentsDrug EvaluationFemaleHumansInternetMaleMiddle AgedNational Cancer Institute (U.S.)NeoplasmsAntineoplastic Agentsfree textMedDRApatient-reported outcomesPRO-CTCAEsymptomatic adverse events

Identifiers

PMID30840079
PMCPMC6402312

What OpenQuestion holds

Textmetadata
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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.