Evidence map›Paper›PMID 37988080›Full record

ArticleJAMA network open2023

Accuracy of Expected Symptoms and Subsequent Quality of Life Measures Among Adults With COPD.

Joanna L Hart, Amy E Summer, Lon Ogunduyile, Folasade C Lapite, David Hong, Casey Whitman, Bryan S Blette, Michael O Harhay, Scott D Halpern

Open access · goldAbstract read
In one paragraph

Article in JAMA network open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.6field-weighted citation impact, top 15% 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

7 citing papers in PubMed, 8 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 1 country.

Joanna L HartPalliative and Advanced Illness Research Center, University of Pennsylvania, Philadelphia.
Amy E SummerPalliative and Advanced Illness Research Center, University of Pennsylvania, Philadelphia.
Lon OgunduyilePalliative and Advanced Illness Research Center, University of Pennsylvania, Philadelphia.
Folasade C LapiteTulane University School of Medicine, New Orleans, Louisiana.
David HongPalliative and Advanced Illness Research Center, University of Pennsylvania, Philadelphia.
Casey WhitmanPalliative and Advanced Illness Research Center, University of Pennsylvania, Philadelphia.
Bryan S BletteDepartment of Biostatistics, Vanderbilt University, Nashville, Tennessee.
Michael O HarhayPalliative and Advanced Illness Research Center, University of Pennsylvania, Philadelphia.
Scott D HalpernPalliative and Advanced Illness Research Center, University of Pennsylvania, Philadelphia.
University of Pennsylvania · USTulane University · USVanderbilt University · US

Funding

Optimizing Outcome Predictions among Patients with Smoking-Associated Lung DiseaseK23HL132065 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI HART, JOANNA LEE · 2017 to 2020
$693k
NHLBI NIH HHS K23 HL132065
6 · The paper itself

Abstract

Importance: Patients' expectations for future health guide their decisions and enable them to prepare, adapt, and cope. However, little is known about how inaccurate expectations may affect patients' illness outcomes. Objective: To assess the association between patients' expectation inaccuracies and health-related quality of life. Design, Setting, and Participants: This cohort study of patients with severe chronic obstructive pulmonary disease (COPD) was conducted from 2017 to 2021, which included a 24-month follow-up period. Eligible participants received outpatient primary care at pulmonary clinics of a single large US health system. Data were analyzed between 2021 and 2023. Exposure: Expectation accuracy, measured by comparing patients' self-reported expectations of their symptom burden with their actual physical and emotional symptoms 3, 12, and 24 months in the future. Main Outcome and Measure: Health-related quality of life, measured by the St George's Respiratory Questionnaire-COPD at 3, 12, and 24 months. Results: A total of 207 participants were included (median age, 65.5 years [range, 42.0-86.0 years]; 120 women [58.0%]; 118 Black [57.0%], 79 White [38.2%]). The consent rate among approached patients was 80.0%. Most patients reported no or only limited discussions of future health and symptom burdens with their clinicians. Across physical and emotional symptoms and all 3 time points, patients' expectations were more optimistic than their experiences. There were no consistent patterns of measured demographic or behavioral characteristics associated with expectation accuracy. Regression models revealed that overoptimistic expectations of future burdens of dyspnea (linear regression estimate, 4.68; 95% CI, 2.68 to 6.68) and negative emotions (linear regression estimate, -3.04; 95% CI, -4.78 to 1.29) were associated with lower health-related quality of life at 3 months after adjustment for baseline health-related quality of life, forced expiratory volume over 1 second, and interval clinical events (P < .001 for both). Similar patterns were observed at 12 months (dyspnea: linear regression estimate, 2.41; 95% CI, 0.45 to 4.37) and 24 months (negative emotions: linear regression estimate, -2.39; 95% CI, -4.67 to 0.12; dyspnea: linear regression estimate, 3.21; 95% CI, 0.82 to 5.60), although there was no statistically significant association between expectation of negative emotions and quality of life at 12 months. Conclusions and Relevance: In this cohort study of patients with COPD, we found that patients are overoptimistic in their expectations about future negative symptom burdens, and such inaccuracies were independently associated with worse well-being over time. Developing and implementing strategies to improve patients' symptom expectations may improve patient-centered outcomes.

Indexed as

Pulmonary Disease, Chronic ObstructiveQuality of LifeAdultAgedCohort StudiesDyspneaEmotionsFemaleHumans

Identifiers

PMID37988080
PMCPMC10663971
OpenAlexW4388860575

What OpenQuestion holds

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LicenceCC BY
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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.