Evidence map›Paper›PMID 33763726›Full record

ArticleSupportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer2021

Measurement of patients' acceptable symptom levels and priorities for symptom improvement in advanced lung cancer.

Ellen Krueger, Ekin Secinti, Wei Wu, Nasser Hanna, Gregory Durm, Lawrence Einhorn, Shadia Jalal, Catherine E Mosher

Abstract read
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Article in Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Measurement of patients' acceptable symptom levels and priorities for symptom improvement in advanced prostate cancer.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
    Article
  3. Review
  4. The Personalized Priority and Progress Questionnaire (PPPQ): A personalized instrument for quality of life and self-management for use in clinical trials and practice.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2023
    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

8 authors.

Ellen KruegerDepartment of Psychology, Indiana University-Purdue University Indianapolis, 402 North Blackford Street, LD 124, Indianapolis, IN, 46202, USA. efkruege@iu.edu.ORCID http://orcid.org/0000-0003-1553-9175
Ekin SecintiDepartment of Psychology, Indiana University-Purdue University Indianapolis, 402 North Blackford Street, LD 124, Indianapolis, IN, 46202, USA.
Wei WuDepartment of Psychology, Indiana University-Purdue University Indianapolis, 402 North Blackford Street, LD 124, Indianapolis, IN, 46202, USA.
Nasser HannaDepartment of Medicine, Indiana University School of Medicine, Indianapolis, IN, USA.
Gregory DurmDepartment of Medicine, Indiana University School of Medicine, Indianapolis, IN, USA.
Lawrence EinhornDepartment of Medicine, Indiana University School of Medicine, Indianapolis, IN, USA.
Shadia JalalDepartment of Medicine, Indiana University School of Medicine, Indianapolis, IN, USA.
Catherine E MosherDepartment of Psychology, Indiana University-Purdue University Indianapolis, 402 North Blackford Street, LD 124, Indianapolis, IN, 46202, USA.

Funding

Interdisciplinary Training in Cancer Prevention and ControlT32CA117865 · NCI · INDIANA UNIVERSITY INDIANAPOLIS · PI Victoria Lee Champion, Catherine E Mosher · 2016 to 2026
$2.4M
NCI NIH HHS T32 CA117865NCI NIH HHS T32CA117865Walther Cancer Foundation 0172.01
6 · The paper itself

Abstract

purposeLittle research has assessed cancer patients' success criteria and priorities for symptom improvement to inform patient-centered care. Thus, we modified and tested a measure of these constructs for advanced lung cancer patients. We compared acceptable severity levels following symptom treatment across eight symptoms and identified patient subgroups based on symptom importance.

methodsAdvanced lung cancer patients (N=102) completed a one-time survey, including the modified Patient-Centered Outcomes Questionnaire (PCOQ), standard symptom measures, and other clinical characteristics.

resultsThe modified PCOQ showed evidence of construct validity through associations with theoretically related constructs. Symptom severity and importance were moderately correlated. Levels of acceptable symptom severity were low and did not differ across the eight symptoms. Four patient subgroups were identified: (1) those who rated all symptoms as low in importance (n=12); (2) those who rated bronchial symptoms and sleep problems as low in importance and all other symptoms as moderately important (n=29); (3) those who rated nausea and emotional distress as low in importance and all other symptoms as moderately important (n=23); and (4) those who rated all symptoms as highly important (n=33). Subgroups were unrelated to clinical characteristics, except for functional status.

conclusionThe modified PCOQ showed evidence of construct validity. Patients considered low symptom severity to be acceptable, irrespective of the symptom. Findings suggest that symptom severity and importance are related yet distinct aspects of the advanced lung cancer symptom experience. Patients have heterogeneous priorities for symptom improvement, which has implications for tailoring treatment.

Indexed as

Lung NeoplasmsPsychological DistressHumansNauseaPatient-Centered CareQuality of LifeSurveys and QuestionnairesAdvanced lung cancerLatent profile analysisPatient-centered carePatient-centered outcomesSymptom importanceSymptom severity

Identifiers

PMID33763726
PMCPMC8503908

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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.