Evidence map›Paper›PMID 27135752›Full record

Trial reportCancer nursing

Using Perceived Self-efficacy to Improve Fatigue and Fatigability In Postsurgical Lung Cancer Patients: A Pilot Randomized Controlled Trial.

Amy J Hoffman, Ruth Ann Brintnall, Barbara A Given, Alexander von Eye, Lee W Jones, Jean K Brown

Open access · greenAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Cancer nursing. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 4 pooled it
2.5field-weighted citation impact, top 9% 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

26 citing papers in PubMed, 4 syntheses or guidelines pooled it, 60 citations in OpenAlex.

  1. Pooled it
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  3. Is physical activity effective against cancer-related fatigue in lung cancer patients? An umbrella review of systematic reviews and meta-analyses.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2023
    Pooled it
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  6. Enhancing behavioral change among lung cancer survivors participating in a lifestyle risk reduction intervention: a qualitative study.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2019
    Trial
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  14. Life-space Mobility in Older Men: The Role of Perceived Physical and Mental Fatigability.The journals of gerontology. Series A, Biological sciences and medical sciences · 2022
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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

6 authors at 3 institutions in 2 countries.

Amy J HoffmanAuthor Affiliations: College of Nursing, Michigan State University, East Lansing (Drs Hoffman and Given); Kirkhof College of Nursing, Grand Valley State University, Grand Rapids, Michigan (Dr Brintnall); and Psychology Department, Michigan State University, East Lansing (Dr von Eye); and Department of Medicine, Memorial Sloan Kettering Cancer Center, New York (Dr Jones); and School of Nursing, University at Buffalo, the State University of New York (Dr Brown).
Ruth Ann Brintnall
Barbara A Given
Alexander von Eye
Lee W Jones
Jean K Brown
Brown Computer Company (United States) · USEye Center · SAJones College · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
Managing Fatigue Using Virtual Reality for Post-Operative Lung Cancer PatientsR21CA164515 · NCI · MICHIGAN STATE UNIVERSITY · PI HOFFMAN, AMY JUDE · 2012 to 2013
$370k
NCI NIH HHS P30 CA008748NCI NIH HHS R21 CA164515
6 · The paper itself

Abstract

backgroundFatigue remains a prevalent and debilitating symptom in persons with non-small cell lung cancer (NSCLC). Exercise has been shown to be effective in reducing fatigue, yet interventions are limited for postsurgical NSCLC patients. To date, while surgery is offered as a standard curative treatment for NSCLC, no formal guidelines exist for postsurgical rehabilitation.

objectiveThis study focuses on the design and testing of a postsurgical intervention for NSCLC patients to promote perceived self-efficacy for fatigue self-management targeting cancer-related fatigue (CRF) severity and its associated fatigability through exercise.

methodsA 2-arm randomized controlled trial was used to examine the impact of a 6-week rehabilitative CRF self-management exercise intervention on 37 NSCLC participants compared with 35 control group participants receiving usual care from diagnosis to 6 weeks' postsurgical hospital discharge.

resultsWe exceeded goals for recruitment (66%), retention (97%), adherence (93%), and acceptability. Our 6-week exercise intervention demonstrated preliminary efficacy in significantly reducing CRF severity and fatigability as compared with usual care, with mean CRF levels restored to levels lower than presurgery. Likewise, the exercise group's functional performance (physical and mental health scores) exceeded usual care. Furthermore, no adverse events were reported; participants had a mean age of 67 years and a mean of 8 comorbid conditions.

conclusionsAn exercise intervention for postsurgical NSCLC patients is feasible, safe, and highly acceptable showing positive changes in CRF self-management. IMPLICATIONS FOR PRACTICE: To advance practice, testing of the effectiveness of this health-promoting self-management exercise intervention in a larger-scale randomized controlled trial is needed.

Indexed as

Exercise TherapyPostoperative CareSelf EfficacyAdultAgedAged, 80 and overCarcinoma, Non-Small-Cell LungFatigueFeasibility StudiesFemaleHumansLung NeoplasmsMaleMiddle AgedPilot ProjectsSelf Care

Identifiers

PMID27135752
PMCPMC5086324
OpenAlexW2342919018

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.