Evidence map›Paper›PMID 28797854›Full record

ArticleJournal of pain and symptom management2017

Computerized Adaptive Testing in Pediatric Brain Tumor Clinics.

Jin-Shei Lai, Jennifer L Beaumont, Cindy J Nowinski, David Cella, William F Hartsell, John Han-Chih Chang, Peter E Manley, Stewart Goldman

Abstract readEvaluation Study
In one paragraph

Article in Journal of pain and symptom management, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

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

  1. Severe fatigue after treatment for childhood cancer.The Cochrane database of systematic reviews · 2020
    Pooled it
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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.

Jin-Shei LaiMedical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA; Pediatrics, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA. Electronic address: js-lai@northwestern.edu.
Jennifer L BeaumontMedical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.
Cindy J NowinskiMedical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.
David CellaMedical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.
William F HartsellNorthwestern Medicine Chicago Proton Center, Warrenville, Illinois, USA; Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, Illinois, USA.
John Han-Chih ChangNorthwestern Medicine Chicago Proton Center, Warrenville, Illinois, USA; Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, Illinois, USA.
Peter E ManleyChildren's Hospital Boston and Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts, USA.
Stewart GoldmanPediatrics, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA; Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, Illinois, USA.

Funding

Validation of PROMIS Measures in Children with Brain TumorsR01CA174452 · NCI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI LAI, JIN-SHEI · 2012 to 2015
$1.2M
NCI NIH HHS R01 CA174452
6 · The paper itself

Abstract

contextMonitoring of health-related quality of life and symptoms of patients with brain tumors is needed yet not always feasible. This is partially due to lack of brief-yet-precise assessments with minimal administration burden that are easily incorporated into clinics. Dynamic computerized adaptive testing (CAT) or static fixed-length short forms, derived from psychometrically sound item banks, are designed to fill this void.

objectiveThis study evaluated the comparability of scores obtained from CATs and short forms.

methodsPatients (ages 7-22 years) were recruited from brain tumor clinics and completed Patient-Reported Outcome Measurement Information System CATs and short forms (Fatigue, Mobility, Upper Extremity, Depressive Symptoms, Anxiety, and Peer Relationships). Pearson correlations, paired t-tests, and Cohen's d were used to evaluate the relationship, significant differences, and the magnitude of the difference between these two scores, respectively.

resultsData from 161 patients with brain tumors were analyzed. Patients completed each CAT within 2 minutes. Scores obtained from CATs and short forms were highly correlated (r = 0.95-0.98). Significantly different CAT vs. short-form scores were found on 4 (of 6) domains yet with negligible effect sizes (|d| < 0.09). These relationships varied across patients with different levels of reported symptoms, with the strongest association at the worst or best symptom scores.

conclusionsThis study demonstrated the comparability of scores from CATs and short forms. Yet the agreement between these two varied across degrees of symptom severity which was a result of the ceiling effects of static short forms. We recommend CATs to enable individualized assessment for longitudinal monitoring.

Indexed as

Diagnosis, Computer-AssistedAdolescentBrain NeoplasmsChildFemaleHumansMaleQuality of LifeSeverity of Illness IndexTime FactorsYoung Adultbrain tumorChildrencomputerized adaptive testing (CAT)patient-centered outcomesPROMIS

Identifiers

PMID28797854
PMCPMC5610102

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Registered trials

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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.