Evidence map›Paper›PMID 24210705›Full record

Trial reportJournal of pain and symptom management2014

A randomized trial of weekly symptom telemonitoring in advanced lung cancer.

Susan E Yount, Nan Rothrock, Michael Bass, Jennifer L Beaumont, Deborah Pach, Thomas Lad, Jyoti Patel, Maria Corona, Rebecca Weiland, Katherine Del Ciello and 1 more

Abstract readMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in Journal of pain and symptom management, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 7 pooled it
1.6field-weighted citation impact, top 17% 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

46 citing papers in PubMed, 7 syntheses or guidelines pooled it, 85 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Effect of applying digital health in palliative care for patients with advanced cancer: a meta-analysis and systematic review.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2024
    Pooled it
  4. Nurse-led telehealth interventions for symptom management in patients with cancer receiving systemic or radiation therapy: a systematic review and meta-analysis.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2022
    Pooled it
  5. Lung Cancer and Self-Management Interventions: A Systematic Review of Randomised Controlled Trials.International journal of environmental research and public health · 2022
    Pooled it
  6. Pooled it
  7. Pooled it
  8. Trial
  9. Empowering caregivers in the radiotherapy process: the results of a randomized controlled trial.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2021
    Trial
  10. Trial
  11. Development and evaluation of the Cancer Symptom Management System: Symptom Management Improves your LifE (SMILE)-a randomized controlled trial.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2020
    Trial
  12. Trial
  13. Trial
  14. Trial
  15. Review
  16. Article
  17. Article
  18. Review
  19. Article
  20. 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

11 authors at 5 institutions in 1 country.

Susan E YountNorthwestern University, Chicago, Illinois, USA. Electronic address: s-yount@northwestern.edu.
Nan RothrockNorthwestern University, Chicago, Illinois, USA.
Michael BassNorthwestern University, Chicago, Illinois, USA.
Jennifer L BeaumontNorthwestern University, Chicago, Illinois, USA.
Deborah PachRush University Medical Center, Chicago, Illinois, USA.
Thomas LadJohn H. Stroger Jr. Hospital of Cook County, Chicago, Illinois, USA.
Jyoti PatelNorthwestern Medical Faculty Foundation, Chicago, Illinois, USA.
Maria CoronaNorthwestern University, Chicago, Illinois, USA.
Rebecca WeilandNorthwestern University, Chicago, Illinois, USA.
Katherine Del CielloNORC at the University of Chicago, Chicago, Illinois, USA.
David CellaNorthwestern University, Chicago, Illinois, USA.
Northwestern University · USJohn H. Stroger, Jr. Hospital of Cook County · USNational Opinion Research Center · USNorthwestern Medical Faculty Foundation · USRush University Medical Center · US

Funding

Tumor Environment and Metastasis (TEAM) Research ProgramP30CA060553 · NCI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI Daniela E Matei · 1993 to 2026
$153.9M
Weekly Symptom Telemanagement in Advanced Lung CancerR01CA115361 · NCI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI YOUNT, SUSAN E · 2005 to 2008
$1.3M
NCI NIH HHS P30 CA060553NCI NIH HHS R01 CA115361NCI NIH HHS R01-CA115361
6 · The paper itself

Abstract

contextLung cancer patients experience multiple, simultaneous symptoms related to their disease and treatment that impair functioning and health-related quality of life (HRQL). Computer technology can reduce barriers to nonsystematic, infrequent symptom assessment and potentially contribute to improved patient care.

objectivesTo evaluate the efficacy of technology-based symptom monitoring and reporting in reducing symptom burden in patients with advanced lung cancer.

methodsThis was a prospective, multisite, randomized controlled trial. Two hundred fifty-three patients were enrolled at three sites and randomized to monitoring and reporting (MR) or monitoring alone (MA). Patients completed questionnaires at baseline, 3, 6, 9, and 12 weeks and symptom surveys via interactive voice response weekly for 12 weeks. MR patients' clinically significant symptom scores generated an e-mail alert to the site nurse for management. The primary endpoint was overall symptom burden; secondary endpoints included HRQL, treatment satisfaction, symptom management barriers, and self-efficacy.

resultsThis randomized controlled trial failed to demonstrate efficacy of symptom monitoring and reporting in reducing symptom burden compared with monitoring alone in lung cancer. HRQL declined over 12 weeks in both groups (P < 0.006 to P < 0.025); at week 12, treatment satisfaction was higher in MA than MR patients (P < 0.012, P < 0.027). Adherence to weekly calls was good (82%) and patient satisfaction was high.

conclusionFeasibility of using a technology-based system for systematic symptom monitoring in advanced lung cancer patients was demonstrated. Future research should focus on identifying patients most likely to benefit and other patient, provider, and health system factors likely to contribute to the system's success.

Indexed as

Antineoplastic AgentsCarcinoma, Non-Small-Cell LungCost of IllnessFemaleHumansLung NeoplasmsMaleMiddle AgedMonitoring, PhysiologicPatient SatisfactionProspective StudiesSelf EfficacySmall Cell Lung CarcinomaTelemedicineTime FactorsTreatment OutcomeAntineoplastic Agentshealth information technologyLung cancerrandomized controlled trialsymptomstelemonitoring

Identifiers

PMID24210705
PMCPMC4013267
OpenAlexW2064452626

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.