Evidence map›Paper›PMID 30652613›Full record

ArticleJCO clinical cancer informatics2018

Low Concordance of Patient-Reported Outcomes With Clinical and Clinical Trial Documentation.

Charlene M Fares, Timothy J Williamson, Matthew K Theisen, Amy Cummings, Krikor Bornazyan, James Carroll, Marshall L Spiegel, Annette L Stanton, Edward B Garon

Abstract read
In one paragraph

Article in JCO clinical cancer informatics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
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  8. Review
  9. Article
  10. Evaluation of electronic patient-reported outcome assessment in inpatient cancer care: a feasibility study.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2023
    Article
  11. Article
  12. Article
  13. Facets of stigma, self-compassion, and health-related adjustment to lung cancer: A longitudinal study.Health psychology : official journal of the Division of Health Psychology, American Psychological Association · 2022
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. 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

9 authors.

Charlene M FaresAll authors: University of California, Los Angeles, Los Angeles, CA.
Timothy J WilliamsonAll authors: University of California, Los Angeles, Los Angeles, CA.
Matthew K TheisenAll authors: University of California, Los Angeles, Los Angeles, CA.
Amy CummingsAll authors: University of California, Los Angeles, Los Angeles, CA.
Krikor BornazyanAll authors: University of California, Los Angeles, Los Angeles, CA.
James CarrollAll authors: University of California, Los Angeles, Los Angeles, CA.
Marshall L SpiegelAll authors: University of California, Los Angeles, Los Angeles, CA.
Annette L StantonAll authors: University of California, Los Angeles, Los Angeles, CA.
Edward B GaronAll authors: University of California, Los Angeles, Los Angeles, CA.

Funding

Women's CancersP30CA016042 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Samuel Wheeler French · 1985 to 2026
$134.5M
UCLA Clinical Translational Science InstituteUL1TR001881 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ARLEEN F. BROWN, ARASH NAEIM · 2016 to 2026
$118.1M
PREVENTION RESEARCH TRAINING:URBAN CHILDREN'S MENT HLTHT32MH015750 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI CHRISTINE DUNKEL SCHETTER · 1985 to 2026
$6.2M
A model for predicting response to PD-1 inhibitors in NSCLCR01CA208403 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI GARON, EDWARD B · 2017 to 2021
$3.2M
NCATS NIH HHS UL1 TR001881NCI NIH HHS P30 CA016042NCI NIH HHS R01 CA208403NIMH NIH HHS T32 MH015750
6 · The paper itself

Abstract

purposeHealth care research increasingly relies on assessment of data extracted from electronic medical records (EMRs). Clinical trial adverse event (AE) logs and patient-reported outcomes (PROs) are sources of data often available in the context of specific research projects. The aim of this study was to evaluate the extent of data concordance from these sources. PATIENTS AND

methodsPatients enrolled in clinical trials or receiving standard treatment for lung cancer (n = 62) completed validated questionnaires on physical and psychological symptoms at up to three assessment points. Temporally matched documentation was extracted from EMR notes and, for clinical trial participants (n = 41), AE logs. Evaluated data included symptom assessment, vital signs, medication logs, and laboratory values. Agreement (positive, negative) and Cohen's κ coefficients were calculated to assess concordance of symptoms among sources, with PROs considered the gold standard.

resultsPatient-reported weight loss correlated significantly with clinical measurements ( t = 2.90; P = .02), and average number of PROs correlated negatively with albumin concentration, supporting PROs as the gold standard. Comparisons of PROs versus EMR yielded poor concordance across 11 physical symptoms, anxiety, and depressive symptoms (all κ < 0.40). Providers under-reported the presence of each symptom in the EMR compared with PROs. AE logs showed similarly poor concordance with PROs (all κ < 0.40, except shortness of breath). Negative agreement among sources was higher than positive agreement for all symptoms except pain.

conclusionThere was poor concordance between EMR notes and AE logs with PROs. Findings suggest that EMR notes and AE logs may not be reliable sources for capturing physical and psychological symptoms experienced by patients with lung cancer, supporting use of PRO assessments in oncology practices.

Indexed as

Patient Reported Outcome MeasuresAdultAgedClinical Trials as TopicDocumentationFemaleHumansMaleMiddle Aged

Identifiers

PMID30652613
PMCPMC6724714

What OpenQuestion holds

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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.